diff --git a/eval/Holodeck/data/evaluation/I_want_a_living_room_layout_th-2025-12-25-14-28-03-123875/render_topdown.png b/eval/Holodeck/data/evaluation/I_want_a_living_room_layout_th-2025-12-25-14-28-03-123875/render_topdown.png new file mode 100644 index 0000000000000000000000000000000000000000..11e28c31f85b92d3d1f4cbea4d7608e1ed47e73d --- /dev/null +++ b/eval/Holodeck/data/evaluation/I_want_a_living_room_layout_th-2025-12-25-14-28-03-123875/render_topdown.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fa13c0686130b04299efe828438820fdf5254d68c9a8b981ceca569cccedc45 +size 2322652 diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_08cfec4b-56a0-43f0-8428-e31c210d8c6c_LivingDiningRoom-28046_coarse/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_08cfec4b-56a0-43f0-8428-e31c210d8c6c_LivingDiningRoom-28046_coarse/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..3136a7e09978941cddc59407b3a675d51776cef5 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_08cfec4b-56a0-43f0-8428-e31c210d8c6c_LivingDiningRoom-28046_coarse/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/08cfec4b-56a0-43f0-8428-e31c210d8c6c/LivingDiningRoom-28046:coarse", + "prompt": "Integrated living-dining space featuring a focal TV wall opposite a three-seat sofa and a nearby circular dining table with four matching chairs.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_09604ef2-3910-435f-8875-02bbed9909a5_LivingDiningRoom-19187_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_09604ef2-3910-435f-8875-02bbed9909a5_LivingDiningRoom-19187_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..6dc50d77fb1f0d3f33256bfdec3f6cd805c6c1e4 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_09604ef2-3910-435f-8875-02bbed9909a5_LivingDiningRoom-19187_fine/prompt.txt @@ -0,0 +1 @@ +A room that balances a compact living zone at one end with a dining zone toward the other. Arrange a sofa against the side wall with a coffee table centered in front and a TV stand along the opposite ... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_142511ba-78c2-49cd-8942-843b89a696d2_LivingDiningRoom-6679_fine/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_142511ba-78c2-49cd-8942-843b89a696d2_LivingDiningRoom-6679_fine/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..4b863d571638efe0d736d707f90ad9e344f7b08f --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_142511ba-78c2-49cd-8942-843b89a696d2_LivingDiningRoom-6679_fine/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/142511ba-78c2-49cd-8942-843b89a696d2/LivingDiningRoom-6679:fine", + "prompt": "Hoping to create a balanced dining layout where the distance from table to wall is similar on both long sides, but the chairs are concentrated on the side facing the rest of the room. End chairs can sit at the short sides of the table, completing the grouping. The pendant should be centered over this seating cluster.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_1b8df9c3-0d1f-429f-a278-6ee12808218c_LivingRoom-3941_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_1b8df9c3-0d1f-429f-a278-6ee12808218c_LivingRoom-3941_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..a66974f298f71eb864a2b0bb239dc4da31c93884 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_1b8df9c3-0d1f-429f-a278-6ee12808218c_LivingRoom-3941_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/1b8df9c3-0d1f-429f-a278-6ee12808218c/LivingRoom-3941:medium", + "prompt": "Arrange an accent zone featuring a statement sculpture on a plinth and a tall potted plant for a gallery-inspired mood.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..769c5238779e4e0b9fc011554d3484f1ce87b499 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/prompt.txt @@ -0,0 +1 @@ +Aiming for a minimalist lounge with clean-lined sofas, a simple armchair, industrial-style coffee table, and slim metal plant stand, in muted tones with natural wood. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..760d5164d99faead75e9f68b484677971e57e93f --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/244bbf54-71c0-4572-9ea6-765e6faee099/LivingDiningRoom-39478:medium", + "prompt": "Aiming for a minimalist lounge with clean-lined sofas, a simple armchair, industrial-style coffee table, and slim metal plant stand, in muted tones with natural wood.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..20a8d30ae9e26013fd7ae79d61d6767976f619b6 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_244bbf54-71c0-4572-9ea6-765e6faee099_LivingDiningRoom-39478_medium/scene.json @@ -0,0 +1,489 @@ +[ + { + "new_object_id": "clean-lined_sofa_1", + "style": "Modern", + "material": "Fabric with wood legs", + "description": "A modern clean-lined sofa with fabric upholstery and natural wood legs, suitable for minimalist lounges.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.3, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 1.3 + } + } + }, + { + "new_object_id": "clean-lined_sofa_2", + "style": "Modern", + "material": "Fabric with wood legs", + "description": "A modern clean-lined sofa with fabric upholstery and natural wood legs, suitable for minimalist lounges.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.3, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "simple_armchair_1", + "style": "Modern", + "material": "Fabric with metal legs", + "description": "A simple armchair designed in a modern style with fabric upholstery and slim metal legs.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "clean-lined_sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "industrial-style_coffee_table_1", + "style": "Industrial", + "material": "Metal and wood", + "description": "An industrial-style coffee table made with a metal frame and wooden top, perfect for a minimalist lounge.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.45 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "clean-lined_sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.4, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "slim_metal_plant_stand_1", + "style": "Modern", + "material": "Metal", + "description": "A slim metal plant stand in a modern style, ideal for displaying plants in a minimalist lounge.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "clean-lined_sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "slim_metal_plant_stand_2", + "style": "Modern", + "material": "Metal", + "description": "A slim metal plant stand in a modern style, ideal for displaying plants in a minimalist lounge.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "clean-lined_sofa_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_1", + "style": "Modern", + "material": "Wood", + "description": "A small modern side table made of natural wood, complementing a minimalist lounge setting.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "simple_armchair_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "A modern floor lamp with a metal finish, providing ambient lighting in a minimalist lounge.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.6 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "industrial-style_coffee_table_1", + "preposition": "behind", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall-mounted_shelves_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wall-mounted shelves made of natural wood for displaying decor in a minimalist lounge.", + "size_in_meters": { + "length": 1.2, + "width": 0.2, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall-mounted_shelves_2", + "style": "Modern", + "material": "Wood", + "description": "Modern wall-mounted shelves made of natural wood for displaying decor in a minimalist lounge.", + "size_in_meters": { + "length": 1.2, + "width": 0.2, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "minimalist_rug_1", + "style": "Modern", + "material": "Fabric", + "description": "A minimalist rug made of durable fabric in muted tones, suitable for a lounge with wooden and metal accents.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "ceiling", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "industrial-style_coffee_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.35, + "y": 0, + "z": 1.425 + }, + "size_in_meters": { + "length": 6.7, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.35, + "y": 5.6, + "z": 1.425 + }, + "size_in_meters": { + "length": 6.7, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 6.7, + "y": 2.8, + "z": 1.425 + }, + "size_in_meters": { + "length": 5.6, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.8, + "z": 1.425 + }, + "size_in_meters": { + "length": 5.6, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.35, + "y": 2.8, + "z": 0 + }, + "size_in_meters": { + "length": 6.7, + "width": 5.6, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.35, + "y": 2.8, + "z": 2.85 + }, + "size_in_meters": { + "length": 6.7, + "width": 5.6, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..f143f68e3884de95f676593266c9f95ef2cb9e86 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/prompt.txt @@ -0,0 +1 @@ +A compact open-plan living and dining room that combines a lounge area with a dining zone for four within an irregular L-shaped footprint. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..bfff4f7c6e7c5ed74d58fdc36a5acb7317473ec4 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/30f2574f-dd2d-4e97-a937-dce8be2af98e/LivingDiningRoom-118911:coarse", + "prompt": "A compact open-plan living and dining room that combines a lounge area with a dining zone for four within an irregular L-shaped footprint.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..1fd3769db18cf18449efa156178436c2252bc1be --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_30f2574f-dd2d-4e97-a937-dce8be2af98e_LivingDiningRoom-118911_coarse/scene.json @@ -0,0 +1,501 @@ +[ + { + "new_object_id": "sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric sofa suitable for a compact lounge area.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 1.2, + "y_neg": 0.0, + "y_pos": 1.0 + } + }, + "position": { + "x": 2.3436892664271114, + "y": 0.45, + "z": 0.4 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary wooden coffee table for the living area.", + "size_in_meters": { + "length": 1.0, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.747176074765418, + "y": 1.2, + "z": 0.2 + } + }, + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Glass", + "description": "Modern glass 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b/eval/IDesign/evaluation/evaluation_results/3d-front_47000b32-e5fa-4dba-b248-4fb58e56b7b7_LivingDiningRoom-902_coarse/scene.json @@ -0,0 +1,479 @@ +[ + { + "new_object_id": "tv_stand_1", + "style": "modern", + "material": "wood and metal", + "description": "A sleek modern TV stand made from a combination of wood and metal, perfect for organizing media devices.", + "size_in_meters": { + "length": 1.2, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 3.7 + } + } + }, + { + "new_object_id": "sofa_1", + "style": "contemporary", + "material": "fabric and wood", + "description": "A comfortable contemporary sofa with fabric upholstery and wooden legs, ideal for relaxing in the living area.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "tv_stand_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.4, + "x_pos": 1.3, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "minimalist", + "material": "glass and metal", + "description": "A minimalist coffee table with a glass top and metal legs, perfect for the center of the living area.", + "size_in_meters": { + "length": 0.9, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "rug_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_table_1", + "style": "classic", + "material": "wood", + "description": "A classic wooden dining table suitable for small gatherings, located in the dining corner.", + "size_in_meters": { + "length": 1.5, + "width": 0.8, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_1", + "style": "classic", + "material": "wood and fabric", + "description": "Classic wooden dining chairs with fabric cushions to 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"room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 0, + "z": 1.425 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 7.1, + "z": 1.425 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.5, + "y": 3.55, + "z": 1.425 + }, + "size_in_meters": { + "length": 7.1, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.55, + "z": 1.425 + }, + "size_in_meters": { + "length": 7.1, + "width": 0.0, + "height": 2.85 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.75, + "y": 3.55, + "z": 0 + }, + "size_in_meters": { + "length": 3.5, + "width": 7.1, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.75, + "y": 3.55, + "z": 2.85 + }, + "size_in_meters": { + "length": 3.5, + "width": 7.1, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f6c4f35c40b101622ddeb10191c3eb9ad5cf2f0 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/prompt.txt @@ -0,0 +1 @@ +Arrange a living room that supports both casual TV watching and face-to-face conversation in a medium-sized, slightly irregular room. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..03835cbc74652222581643ccaa1ea6e694278c35 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/47356158-6664-49f4-bb64-fa36d102e310/LivingRoom-74681:coarse", + "prompt": "Arrange a living room that supports both casual TV watching and face-to-face conversation in a medium-sized, slightly irregular room.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..ece551dbbcd32e02f794ac3b774a1017ae5d38e9 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_47356158-6664-49f4-bb64-fa36d102e310_LivingRoom-74681_coarse/scene.json @@ -0,0 +1,463 @@ +[ + { + "new_object_id": "sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric sofa with clean lines and comfortable seating, ideal for casual TV watching and conversation.", + "size_in_meters": { + "length": 2.5, + "width": 1.0, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "tv_stand_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 1.4, + "x_pos": 1.4, + "y_neg": 0.0, + "y_pos": 1.2 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary wooden coffee table with a sleek design, perfect for placing drinks or decor items.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "tv_stand_1", + "style": "Minimalist", + "material": "Metal and Glass", + "description": "Minimalist TV stand made from metal with a glass top, suitable for a flat-screen TV.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 5.3 + } + } + }, + { + "new_object_id": "armchair_1", + "style": "Classic", + "material": "Leather", + "description": "Classic leather armchair with plush seating, providing a cozy spot for reading or conversation.", + "size_in_meters": { + "length": 1.0, + "width": 0.9, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 1.6, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "armchair_2", + "style": "Classic", + "material": "Leather", + "description": "Classic leather armchair with plush seating, providing a cozy spot for reading or conversation.", + "size_in_meters": { + "length": 1.0, + "width": 0.9, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "right of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Industrial", + "material": "Metal and Wood", + "description": "Industrial-style bookshelf with metal framing and wooden shelves, offering space for books and decorative items.", + "size_in_meters": { + "length": 1.2, + "width": 0.4, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "armchair_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.4, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Scandinavian", + "material": "Wood and Fabric", + "description": "Scandinavian floor lamp with a wooden base and fabric shade, providing ambient lighting for the room.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.6 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + }, + { + "object_id": "armchair_1", + "preposition": "right of", + "is_adjacent": true + }, + { + "object_id": "bookshelf_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_1", + "style": "Rustic", + "material": "Wood", + "description": "Rustic wooden side table with a compact design, perfect for placing next to the sofa or armchair.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "right of", + "is_adjacent": true + }, + { + "object_id": "armchair_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_2", + "style": "Rustic", + "material": "Wood", + "description": "Rustic wooden side table with a compact design, perfect for placing next to the sofa or armchair.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + }, + { + "object_id": "armchair_2", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "rug_1", + "style": "Bohemian", + "material": "Wool", + "description": "Bohemian-style wool rug with vibrant patterns, adding warmth and texture to the room.", + "size_in_meters": { + "length": 3.0, + "width": 2.0, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "ceiling", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.4, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 6.8, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.4, + "y": 6.7, + "z": 1.3 + }, + "size_in_meters": { + "length": 6.8, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 6.8, + "y": 3.35, + "z": 1.3 + }, + "size_in_meters": { + "length": 6.7, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.35, + "z": 1.3 + }, + "size_in_meters": { + "length": 6.7, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.4, + "y": 3.35, + "z": 0 + }, + "size_in_meters": { + "length": 6.8, + "width": 6.7, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.4, + "y": 3.35, + "z": 2.6 + }, + "size_in_meters": { + "length": 6.8, + "width": 6.7, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_5411a1f5-6e17-4aef-a446-f945570aa6fc_DiningRoom-14238_fine/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_5411a1f5-6e17-4aef-a446-f945570aa6fc_DiningRoom-14238_fine/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..fc7c6f2ef24e8e872847db82dac616085da34a94 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_5411a1f5-6e17-4aef-a446-f945570aa6fc_DiningRoom-14238_fine/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/5411a1f5-6e17-4aef-a446-f945570aa6fc/DiningRoom-14238:fine", + "prompt": "Design a dining space with a central rectangular dining table running front to back in the room. Position three dining chairs evenly spaced along each long side, all facing the table. Place two aligned ceiling pendants over the table surface to light the full length of the seating.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_5411a1f5-6e17-4aef-a446-f945570aa6fc_DiningRoom-14238_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_5411a1f5-6e17-4aef-a446-f945570aa6fc_DiningRoom-14238_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..80dcf3c8cf6d77c6a336de2ed3f6e7504cc60b95 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_5411a1f5-6e17-4aef-a446-f945570aa6fc_DiningRoom-14238_fine/scene.json @@ -0,0 +1,274 @@ +[ + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Wood", + "description": "Modern-style rectangular dining table made of wood.", + "size_in_meters": { + "length": 2.2, + "width": 0.9, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.45, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.1770166284915775, + "y": 2.077520688189779, + "z": 0.375 + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Modern", + "material": "Metal and fabric", + "description": "Modern-style dining chair with a metal frame and fabric upholstery.", + "size_in_meters": { + "length": 0.45, + "width": 0.45, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "dining_table_1", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.5020166284915777, + "y": 2.233033539868045, + "z": 0.45 + } + }, + { + "new_object_id": "ceiling_pendant_light_1", + "style": "Contemporary", + "material": "Glass and metal", + "description": "Contemporary ceiling pendant light with a glass shade and metal fixture.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.0 + }, + "is_on_the_floor": false, + "facing": "dining_table_1", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "ceiling", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "above", + "is_adjacent": true + }, + { + "object_id": "ceiling_pendant_light_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.0910777240583582, + "y": 1.5409088037274585, + "z": 2.1 + } + }, + { + "new_object_id": "ceiling_pendant_light_2", + "style": "Contemporary", + "material": "Glass and metal", + "description": "Contemporary ceiling pendant light with a glass shade and metal fixture.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.0 + }, + "is_on_the_floor": false, + "facing": "dining_table_1", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "ceiling", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "above", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.3, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.391077724058358, + "y": 1.5409088037274585, + "z": 2.1 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.45, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 2.9, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.45, + "y": 3.5, + "z": 1.3 + }, + "size_in_meters": { + "length": 2.9, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 2.9, + "y": 1.75, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.75, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.45, + "y": 1.75, + "z": 0 + }, + "size_in_meters": { + "length": 2.9, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.45, + "y": 1.75, + "z": 2.6 + }, + "size_in_meters": { + "length": 2.9, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_68983107-a915-404b-be96-20a030c59591_LivingDiningRoom-22836_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_68983107-a915-404b-be96-20a030c59591_LivingDiningRoom-22836_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..9c7efd2e38fc8e389555f77cc827861bfae58ed6 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_68983107-a915-404b-be96-20a030c59591_LivingDiningRoom-22836_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/68983107-a915-404b-be96-20a030c59591/LivingDiningRoom-22836:medium", + "prompt": "Hoping to create a cohesive open-plan space where the dining table, dining chairs, sofa, armchair, coffee table, side table, and tv stand feel naturally connected.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_69b82978-76fe-43cc-b88d-92b7244ee573_LivingDiningRoom-15465_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_69b82978-76fe-43cc-b88d-92b7244ee573_LivingDiningRoom-15465_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd3607fc55881736256212a9b664ced6d3885b91 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_69b82978-76fe-43cc-b88d-92b7244ee573_LivingDiningRoom-15465_coarse/prompt.txt @@ -0,0 +1 @@ +I want an interior plan for a medium-sized room that comfortably supports both lounging and dining in one open space. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..774fe7735b891ef19103165acdcbcc7593b7964d --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/prompt.txt @@ -0,0 +1 @@ +Harmonious living and eating space featuring an upholstered corner sofa, detailed coffee table, long TV stand, streamlined dining table, patterned dining chairs, sleek barstools, storage sideboard, de... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..8990792428335e63d6ead0f7c3ef07f97ea7660d --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/7289023b-aa7a-483f-b2bc-e0c33c6cc386/LivingDiningRoom-920:medium", + "prompt": "Harmonious living and eating space featuring an upholstered corner sofa, detailed coffee table, long TV stand, streamlined dining table, patterned dining chairs, sleek barstools, storage sideboard, decorative greenery, tripod reading lamp, and geometric ceiling pendants in a calm, contemporary-classic style.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..9119aeb3267c2cd2cd814d3790d54ed78d5a8b37 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7289023b-aa7a-483f-b2bc-e0c33c6cc386_LivingDiningRoom-920_medium/scene.json @@ -0,0 +1,752 @@ +[ + { + "new_object_id": "corner_sofa_1", + "style": "Contemporary-Classic", + "material": "Upholstered Fabric", + "description": "Contemporary-Classic style corner sofa with upholstered fabric offering comfort and elegance.", + "size_in_meters": { + "length": 2.5, + "width": 1.8, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "in 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"new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.35, + "y": 3.25, + "z": 2.6 + }, + "size_in_meters": { + "length": 4.7, + "width": 6.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c9cecd8f2bfdeadd619c60959b1e256be873d1c --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/prompt.txt @@ -0,0 +1 @@ +A room that combines casual lounging with entertainment, centering on a sofa, lounge chair, coffee table, side table, tv stand, floor lamp, and accent pillows. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..3917c1ad9ed8b9c6005337312fc0d4bba1c6548a --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/782f114b-acc4-4fb1-b3ed-d550b7210e49/LivingRoom-45708:medium", + "prompt": "A room that combines casual lounging with entertainment, centering on a sofa, lounge chair, coffee table, side table, tv stand, floor lamp, and accent pillows.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..953d85017abed7a6653d7c7f7292d40604078752 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_782f114b-acc4-4fb1-b3ed-d550b7210e49_LivingRoom-45708_medium/scene.json @@ -0,0 +1,457 @@ +[ + { + "new_object_id": "sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "A modern fabric sofa designed for casual lounging, providing comfort and style.", + "size_in_meters": { + "length": 2.5, + "width": 1.0, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.4, + "x_pos": 1.1, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 5.020034982485319, + "y": 0.5, + "z": 0.4 + } + }, + { + "new_object_id": "lounge_chair_1", + "style": "Contemporary", + "material": "Leather", + "description": "Contemporary leather lounge chair that complements the sofa for casual seating.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.3, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 6.670034982485319, + "y": 0.523040880750986, + "z": 0.5 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Minimalist", + "material": "Wood", + "description": "A minimalist wooden coffee table positioned centrally for functionality and aesthetics.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.7076463268254678, + "y": 2.881006125511531, + "z": 0.2 + } + }, + { + "new_object_id": "side_table_1", + "style": "Scandinavian", + "material": "Metal", + "description": "Scandinavian metal side table ideal for holding decorative items or small devices.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.5700349824853186, + "y": 0.2722631204901253, + "z": 0.25 + } + }, + { + "new_object_id": "tv_stand_1", + "style": "Industrial", + "material": "Wood and Metal", + "description": "Industrial-style TV stand combining wood and metal for a sturdy entertainment center.", + "size_in_meters": { + "length": 1.8, + "width": 0.5, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 5.023550718343517, + "y": 3.8499999999999996, + "z": 0.3 + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal floor lamp providing ambient lighting in the lounging area.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "lounge_chair_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 7.22003498248532, + "y": 0.7097391209207404, + "z": 0.9 + } + }, + { + "new_object_id": "accent_pillow_1", + "style": "Eclectic", + "material": "Fabric", + "description": "Eclectic fabric accent pillows adding color and comfort to the sofa and lounge chair.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "on", + "is_adjacent": true + }, + { + "object_id": "accent_pillow_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 5.6119886887407535, + "y": 0.6676455683831617, + "z": 0.9 + } + }, + { + "new_object_id": "accent_pillow_2", + "style": "Eclectic", + "material": "Fabric", + "description": "Eclectic fabric accent pillows adding color and comfort to the sofa and lounge chair.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 5.1119886887407535, + "y": 0.6676455683831617, + "z": 0.9 + } + }, + { + "new_object_id": "accent_pillow_3", + "style": "Eclectic", + "material": "Fabric", + "description": "Eclectic fabric accent pillows adding color and comfort to the sofa and lounge chair.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "lounge_chair_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 6.731219667697101, + "y": 0.6661425880106354, + "z": 1.1 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.9, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 7.8, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.9, + "y": 4.1, + "z": 1.3 + }, + "size_in_meters": { + "length": 7.8, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 7.8, + "y": 2.05, + "z": 1.3 + }, + "size_in_meters": { + "length": 4.1, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.05, + "z": 1.3 + }, + "size_in_meters": { + "length": 4.1, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.9, + "y": 2.05, + "z": 0 + }, + "size_in_meters": { + "length": 7.8, + "width": 4.1, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.9, + "y": 2.05, + "z": 2.6 + }, + "size_in_meters": { + "length": 7.8, + "width": 4.1, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..310b118268b4d328bc5b4c62fba05dc631cd33b7 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/prompt.txt @@ -0,0 +1 @@ +Arrange a lounge zone with a long sofa against the front wall as the anchor. Put a coffee table directly in front and a loveseat facing it from the opposite side. Add two armchairs closer to the side ... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..189607daace1fbca58199d22039b30607c1229cc --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/7dff252d-745d-493c-843f-6d8a070bfd3d/LivingDiningRoom-3575:fine", + "prompt": "Arrange a lounge zone with a long sofa against the front wall as the anchor. Put a coffee table directly in front and a loveseat facing it from the opposite side. Add two armchairs closer to the side wall, angled toward the coffee table, and include a second coffee table aligned with them. Use two small side tables behind the seating as corner accents.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..4a54a9b538cf62f5f4d17242fa4e081eaf45ecec --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7dff252d-745d-493c-843f-6d8a070bfd3d_LivingDiningRoom-3575_fine/scene.json @@ -0,0 +1,385 @@ +[ + { + "new_object_id": "long_sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "A modern long sofa with durable fabric material, suitable for anchoring the lounge zone against the front wall.", + "size_in_meters": { + "length": 2.5, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 1.2 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Contemporary", + "material": "Glass and Metal", + "description": "A contemporary coffee table made from glass and metal, to be placed directly in front of the long sofa.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.45 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "long_sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 6.1 + } + } + }, + { + "new_object_id": "loveseat_1", + "style": "Modern", + "material": "Leather", + "description": "A modern leather loveseat facing the long sofa from the opposite side.", + "size_in_meters": { + "length": 1.5, + "width": 0.8, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "in front", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 2.3, + "x_pos": 2.3, + "y_neg": 0.5, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "armchair_1", + "style": "Classic", + "material": "Wood and Fabric", + "description": "Classic armchairs with wooden frames and fabric upholstery, angled toward the coffee table.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "loveseat_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.5, + "y_pos": 1.0 + } + } + }, + { + "new_object_id": "armchair_2", + "style": "Classic", + "material": "Wood and Fabric", + "description": "Classic armchairs with wooden frames and fabric upholstery, angled toward the coffee table.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "loveseat_1", + "preposition": "right of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.5, + "y_pos": 1.0 + } + } + }, + { + "new_object_id": "second_coffee_table_1", + "style": "Rustic", + "material": "Wood", + "description": "A rustic wooden coffee table aligned with the armchairs.", + "size_in_meters": { + "length": 1.0, + "width": 0.5, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "armchair_1", + "preposition": "in front", + "is_adjacent": true + }, + { + "object_id": "armchair_2", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_1", + "style": "Minimalist", + "material": "Metal", + "description": "Minimalist metal side tables to be used as corner accents behind the seating.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "loveseat_1", + "preposition": "behind", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_2", + "style": "Minimalist", + "material": "Metal", + "description": "Minimalist metal side tables to be used as corner accents behind the seating.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "armchair_1", + "preposition": "behind", + "is_adjacent": false + }, + { + "object_id": "armchair_2", + "preposition": "behind", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 7.35, + "y": 0, + "z": 1.755 + }, + "size_in_meters": { + "length": 14.7, + "width": 0.0, + "height": 3.51 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 7.35, + "y": 6.8, + "z": 1.755 + }, + "size_in_meters": { + "length": 14.7, + "width": 0.0, + "height": 3.51 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 14.7, + "y": 3.4, + "z": 1.755 + }, + "size_in_meters": { + "length": 6.8, + "width": 0.0, + "height": 3.51 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.4, + "z": 1.755 + }, + "size_in_meters": { + "length": 6.8, + "width": 0.0, + "height": 3.51 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 7.35, + "y": 3.4, + "z": 0 + }, + "size_in_meters": { + "length": 14.7, + "width": 6.8, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 7.35, + "y": 3.4, + "z": 3.51 + }, + "size_in_meters": { + "length": 14.7, + "width": 6.8, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..b91dbe4c9b15c34fac0e6b64e2baf68c073c2ff1 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/prompt.txt @@ -0,0 +1 @@ +Aiming for an open living space where storage elements line one side and the opposite side remains open for circulation between zones. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..d066558343de2f67278c1a5d013cb67a6583d1c2 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/7eb7feb4-9b22-4a02-ac6e-b68c8d47b703/LivingDiningRoom-10060:coarse", + "prompt": "Aiming for an open living space where storage elements line one side and the opposite side remains open for circulation between zones.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..51682d77364afdd1f55611ec328b9e977c099e75 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7eb7feb4-9b22-4a02-ac6e-b68c8d47b703_LivingDiningRoom-10060_coarse/scene.json @@ -0,0 +1,479 @@ +[ + { + "new_object_id": "modular_sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "A modern fabric modular sofa that can be rearranged to fit different configurations and enhance open living space.", + "size_in_meters": { + "length": 2.5, + "width": 1.0, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.9, + "x_pos": 0.9, + "y_neg": 0.0, + "y_pos": 1.2 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Modern", + "material": "Glass", + "description": "A sleek modern coffee table made of glass to complement the open living space and provide functionality.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.45 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "modular_sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Minimalist", + "material": "Wood", + "description": "A minimalist wooden bookshelf designed to line one wall for storage while maintaining the open circulation space.", + "size_in_meters": { + "length": 2.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "console_table_1", + "style": "Contemporary", + "material": "Metal", + "description": "A contemporary metal console table positioned against a wall for storage and display purposes.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "armchair_1", + "style": "Modern", + "material": "Leather", + "description": "A modern leather armchair to provide additional seating while maintaining the open circulation space.", + "size_in_meters": { + "length": 0.9, + "width": 0.9, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "modular_sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "armchair_2", + "style": "Modern", + "material": "Leather", + "description": "A modern leather armchair to provide additional seating while maintaining the open circulation space.", + "size_in_meters": { + "length": 0.9, + "width": 0.9, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "modular_sofa_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_table_1", + "style": "Contemporary", + "material": "Wood", + "description": "A contemporary wooden dining table to create a designated dining zone within the open living space.", + "size_in_meters": { + "length": 1.8, + "width": 0.9, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 4.8, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Modern", + "material": "Plastic", + "description": "Modern plastic dining chairs designed to complement the dining table and enhance the open living space.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Modern", + "material": "Plastic", + "description": "Modern plastic dining chairs designed to complement the dining table and enhance the open living space.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "tv_stand_1", + "style": "Minimalist", + "material": "Wood", + "description": "A minimalist wooden TV stand positioned against a wall to provide storage and entertainment functionality.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "A modern metal floor lamp designed to provide ambient lighting within the open living space.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "modular_sofa_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.4, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.8, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.4, + "y": 9.6, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.8, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.8, + "y": 4.8, + "z": 1.4 + }, + "size_in_meters": { + "length": 9.6, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 4.8, + "z": 1.4 + }, + "size_in_meters": { + "length": 9.6, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.4, + "y": 4.8, + "z": 0 + }, + "size_in_meters": { + "length": 4.8, + "width": 9.6, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.4, + "y": 4.8, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.8, + "width": 9.6, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7fe08405-d4de-48f9-9435-ba3c18de84b6_LivingRoom-8766_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_7fe08405-d4de-48f9-9435-ba3c18de84b6_LivingRoom-8766_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e3e6a7442bc5344aa6664fedcb3be0b776e8928 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7fe08405-d4de-48f9-9435-ba3c18de84b6_LivingRoom-8766_coarse/prompt.txt @@ -0,0 +1 @@ +I’d like a living room with enough length to place a TV/media focus on one side and a separate dining focus further down the room. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_7fe08405-d4de-48f9-9435-ba3c18de84b6_LivingRoom-8766_coarse/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_7fe08405-d4de-48f9-9435-ba3c18de84b6_LivingRoom-8766_coarse/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..3cf022c05ca7c70911e04ceb5bd254a15c668b5f --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_7fe08405-d4de-48f9-9435-ba3c18de84b6_LivingRoom-8766_coarse/scene.json @@ -0,0 +1,527 @@ +[ + { + "new_object_id": "sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric sofa suitable for a comfortable seating area, complementing the media focus of the room.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.3, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.7206664327100687, + "y": 0.45, + "z": 0.4 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary wooden coffee table to serve as the center piece in the media focus area.", + "size_in_meters": { + "length": 1.0, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.156900785275324, + "y": 1.2010711469172042, + "z": 0.2 + } + }, + { + "new_object_id": "tv_stand_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal TV stand to hold media equipment, aligning with the media focus of the room.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.3930946339628787, + "y": 6.1, + "z": 0.25 + } + }, + { + "new_object_id": "dining_table_1", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden dining table to establish a separate dining focus further down the room.", + "size_in_meters": { + "length": 1.8, + "width": 0.9, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.5 + } + }, + "position": { + "x": 3.4499999999999997, + "y": 3.2543522360508232, + "z": 0.375 + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden dining chairs to match the dining table and enhance the dining focus of the room.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.589276246712207, + "y": 4.404352236050824, + "z": 0.5 + } + }, + { + "new_object_id": "dining_chair_2", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden dining chairs to match the dining table and enhance the dining focus of the room.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.404280869441129, + "y": 2.1043522360508233, + "z": 0.5 + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden dining chairs to match the dining table and enhance the dining focus of the room.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.7499999999999996, + "y": 3.1158114379887523, + "z": 0.5 + } + }, + { + "new_object_id": "dining_chair_4", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden dining chairs to match the dining table and enhance the dining focus of the room.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "dining_table_1", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.750761487986748, + "y": 4.272466599492867, + "z": 0.5 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden bookshelf to provide storage and decoration, placed along one of the walls.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.15, + "y": 2.5779452429919845, + "z": 1.0 + } + }, + { + "new_object_id": "rug_1", + "style": "Contemporary", + "material": "Textile", + "description": "Contemporary textile rug to define the seating area in the media focus zone.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.3671780172023145, + "y": 2.199446286099033, + "z": 0.005 + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal floor lamp to provide ambient lighting in the seating area.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.5706664327100687, + "y": 0.31171279470928803, + "z": 0.75 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.95, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.9, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.95, + "y": 6.3, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.9, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.9, + "y": 3.15, + "z": 1.3 + }, + "size_in_meters": { + "length": 6.3, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.15, + "z": 1.3 + }, + "size_in_meters": { + "length": 6.3, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.95, + "y": 3.15, + "z": 0 + }, + "size_in_meters": { + "length": 3.9, + "width": 6.3, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.95, + "y": 3.15, + "z": 2.6 + }, + "size_in_meters": { + "length": 3.9, + "width": 6.3, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca3bba4f150e798877ac3a525f7a1c5320887971 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/prompt.txt @@ -0,0 +1 @@ +I’m looking for a combined living and dining room layout in a slightly irregular rectangular space where both areas feel clearly defined but still open to each other. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..47859be22cc132551fb6c74d1306e8c96f07e8b0 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/80261497-c204-4078-8155-a0a435138c70/LivingDiningRoom-9530:coarse", + "prompt": "I\u2019m looking for a combined living and dining room layout in a slightly irregular rectangular space where both areas feel clearly defined but still open to each other.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..41a96ce194b93ff971135f4ac3809a655db57577 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_80261497-c204-4078-8155-a0a435138c70_LivingDiningRoom-9530_coarse/scene.json @@ -0,0 +1,612 @@ +[ + { + "new_object_id": "sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "A modern fabric sofa designed for comfort and style, suitable for a living area.", + "size_in_meters": { + "length": 2.0, + "width": 1.0, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 2.7, + "x_pos": 0.4, + "y_neg": 0.0, + "y_pos": 1.2 + } + }, + "position": { + "x": 6.013457101471758, + "y": 2.6134600900062086, + "z": 0.4 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Contemporary", + "material": "Glass", + "description": "A contemporary glass coffee table that complements the modern sofa in the living area.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 5.750154500766431, + "y": 3.4134600900062084, + "z": 0.2 + } + }, + { + "new_object_id": "tv_stand_1", + "style": "Minimalist", + "material": "Wood", + "description": "A minimalist wooden TV stand, providing a focal point for a living space.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.5598968223668077, + "y": 0.2, + "z": 0.25 + } + }, + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wooden dining table that defines the dining area while maintaining an open layout.", + "size_in_meters": { + "length": 2.0, + "width": 1.0, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.5, + "y_pos": 0.5 + } + }, + "position": { + "x": 1.0433981468526985, + "y": 2.3733995368017933, + "z": 0.375 + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal dining chairs with comfortable seating, pairing with the dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.9571257781475714, + "y": 1.1233995368017933, + "z": 0.45 + } + }, + { + "new_object_id": "dining_chair_2", + "style": "Modern", + "material": "Metal", + "description": "Modern metal dining chairs with comfortable seating, pairing with the dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.145364424408767, + "y": 3.6233995368017933, + "z": 0.45 + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Modern", + "material": "Metal", + "description": "Modern metal dining chairs with comfortable seating, pairing with the dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.7933981468526985, + "y": 3.12319041836799, + "z": 0.45 + } + }, + { + "new_object_id": "dining_chair_4", + "style": "Modern", + "material": "Metal", + "description": "Modern metal dining chairs with comfortable seating, pairing with the dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "behind", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.2933981468526985, + "y": 2.1456674934478626, + "z": 0.45 + } + }, + { + "new_object_id": "sideboard_1", + "style": "Contemporary", + "material": "Wood", + "description": "A contemporary wooden sideboard for storage and decor, enhancing the dining area.", + "size_in_meters": { + "length": 1.8, + "width": 0.5, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.773312381682884, + "y": 5.05, + "z": 0.4 + } + }, + { + "new_object_id": "rug_1", + "style": "Bohemian", + "material": "Textile", + "description": "A bohemian textile rug to anchor the living area, adding warmth and texture.", + "size_in_meters": { + "length": 2.5, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.115771054643795, + "y": 4.022958922464412, + "z": 0.005 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Contemporary", + "material": "Metal", + "description": "A contemporary metal bookshelf for storage and display, blending with both living and dining areas.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 9.95, + "y": 0.7241373685371372, + "z": 1.0 + } + }, + { + "new_object_id": "accent_chair_1", + "style": "Mid-century", + "material": "Leather", + "description": "A mid-century leather accent chair provides additional seating and style in the living area.", + "size_in_meters": { + "length": 0.7, + "width": 0.7, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.663457101471758, + "y": 2.580633908854851, + "z": 0.45 + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "A modern metal floor lamp to illuminate and define the living space.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 7.213457101471758, + "y": 2.57154312529524, + "z": 0.9 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 5.05, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 10.1, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 5.05, + "y": 5.3, + "z": 1.3 + }, + "size_in_meters": { + "length": 10.1, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 10.1, + "y": 2.65, + "z": 1.3 + }, + "size_in_meters": { + "length": 5.3, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.65, + "z": 1.3 + }, + "size_in_meters": { + "length": 5.3, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 5.05, + "y": 2.65, + "z": 0 + }, + "size_in_meters": { + "length": 10.1, + "width": 5.3, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 5.05, + "y": 2.65, + "z": 2.6 + }, + "size_in_meters": { + "length": 10.1, + "width": 5.3, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..a716f639a7bc83e05eefd09ab886d23070e3d07b --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/prompt.txt @@ -0,0 +1 @@ +Design the dining zone so the pendant lamp hangs directly over the center of the table. Align the two front chairs so they face the middle of the room and the two back chairs so they face the wall. Ma... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..1a36519f47b42fda50052242d2161b64f13f1c71 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3d-front/807602ef-635e-4315-a24c-191c4b825dbf/LivingDiningRoom-144857:fine", + "prompt": "Design the dining zone so the pendant lamp hangs directly over the center of the table. Align the two front chairs so they face the middle of the room and the two back chairs so they face the wall. Maintain a consistent gap between each chair and the table edge for easy access.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..eae2daa97cee74641ef4374ff59b352563a59ff6 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_807602ef-635e-4315-a24c-191c4b825dbf_LivingDiningRoom-144857_fine/scene.json @@ -0,0 +1,424 @@ +[ + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wooden dining table designed for central placement in the dining zone.", + "size_in_meters": { + "length": 1.8, + "width": 1.0, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 1.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.5794539091513597, + "y": 3.798994336151565, + "z": 0.375 + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Contemporary", + "material": "Metal and Fabric", + "description": "Contemporary dining chairs with metal frames and fabric seating, positioned to allow easy access and align with the room's layout.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.4294539091513597, + "y": 3.734195084945387, + "z": 0.45 + } + }, + { + "new_object_id": "dining_chair_2", + "style": "Contemporary", + "material": "Metal and Fabric", + "description": "Contemporary dining chairs with metal frames and fabric seating, positioned to allow easy access and align with the room's layout.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.72945390915136, + "y": 3.850937922923424, + "z": 0.45 + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Contemporary", + "material": "Metal and Fabric", + "description": "Contemporary dining chairs with metal frames and fabric seating, positioned to allow easy access and align with the room's layout.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "dining_table_1", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "behind", + "is_adjacent": true + }, + { + "object_id": "dining_chair_4", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.0041255938900577, + "y": 3.048994336151565, + "z": 0.45 + } + }, + { + "new_object_id": "dining_chair_4", + "style": "Contemporary", + "material": "Metal and Fabric", + "description": "Contemporary dining chairs with metal frames and fabric seating, positioned to allow easy access and align with the room's layout.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "dining_table_1", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "behind", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.5041255938900577, + "y": 3.048994336151565, + "z": 0.45 + } + }, + { + "new_object_id": "pendant_lamp_1", + "style": "Industrial", + "material": "Metal", + "description": "An industrial-style metal pendant lamp hanging directly over the center of the dining table.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.2 + }, + "is_on_the_floor": false, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "ceiling", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "above", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.308367388490444, + "y": 4.1873412551505425, + "z": 2.0 + } + }, + { + "new_object_id": "sideboard_1", + "style": "Classic", + "material": "Wood", + "description": "A classic wooden sideboard for storing dining essentials, placed against the wall.", + "size_in_meters": { + "length": 1.5, + "width": 0.45, + "height": 0.85 + }, + "is_on_the_floor": true, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.5811187716838573, + "y": 5.175000000000001, + "z": 0.425 + } + }, + { + "new_object_id": "rug_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric rug to define the dining area, placed under the dining table.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.766231834148516, + "y": 3.5957356700871754, + "z": 0.01 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.7, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.4, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.7, + "y": 5.4, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.4, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.4, + "y": 2.7, + "z": 1.3 + }, + "size_in_meters": { + "length": 5.4, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.7, + "z": 1.3 + }, + "size_in_meters": { + "length": 5.4, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.7, + "y": 2.7, + "z": 0 + }, + "size_in_meters": { + "length": 3.4, + "width": 5.4, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.7, + "y": 2.7, + "z": 2.6 + }, + "size_in_meters": { + "length": 3.4, + "width": 5.4, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_8920f107-0501-4193-8265-26184aae7b28_LivingDiningRoom-68617_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_8920f107-0501-4193-8265-26184aae7b28_LivingDiningRoom-68617_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd8d88bd5d57d8a17e4e594c5ead40747479caae --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_8920f107-0501-4193-8265-26184aae7b28_LivingDiningRoom-68617_medium/prompt.txt @@ -0,0 +1 @@ +I’m looking for a wall-hugging storage and display setup using a sideboard and a cabinet for dishes, glassware, and decor. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_8920f107-0501-4193-8265-26184aae7b28_LivingDiningRoom-68617_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_8920f107-0501-4193-8265-26184aae7b28_LivingDiningRoom-68617_medium/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..e43e3e03fb20ea8a7a49781154a34e1583ded8f4 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_8920f107-0501-4193-8265-26184aae7b28_LivingDiningRoom-68617_medium/scene.json @@ -0,0 +1,378 @@ +[ + { + "new_object_id": "sideboard_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wood sideboard designed for storage and display, suitable for glassware and decor.", + "size_in_meters": { + "length": 1.8, + "width": 0.5, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_art_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.3106386213960697, + "y": 0.25, + "z": 0.4 + } + }, + { + "new_object_id": "cabinet_1", + "style": "Classic", + "material": "Metal", + "description": "A classic metal cabinet with glass doors, ideal for storing dishes and glassware.", + "size_in_meters": { + "length": 1.2, + "width": 0.4, + "height": 1.8 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.3, + "y": 6.050161631733951, + "z": 0.9 + } + }, + { + "new_object_id": "display_shelves_1", + "style": "Contemporary", + "material": "Glass", + "description": "Contemporary glass display shelves for showcasing decor and collectibles.", + "size_in_meters": { + "length": 1.5, + "width": 0.3, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.9979818168141581, + "y": 7.05, + "z": 0.75 + } + }, + { + "new_object_id": "wall_art_1", + "style": "Modern", + "material": "Canvas", + "description": "Modern canvas wall art to complement the storage and display setup aesthetically.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.025, + "y": 4.576960160947272, + "z": 0.40160700545641675 + } + }, + { + "new_object_id": "wall_art_2", + "style": "Modern", + "material": "Canvas", + "description": "Modern canvas wall art to complement the storage and display setup aesthetically.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 1.8, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.9106386213960695, + "y": 0.025, + "z": 1.868504532632556 + } + }, + { + "new_object_id": "decorative_vase_1", + "style": "Classic", + "material": "Ceramic", + "description": "Classic ceramic vase for decorative purposes, enhancing the room's ambiance.", + "size_in_meters": { + "length": 0.25, + "width": 0.25, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sideboard_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.5501646358279297, + "y": 0.29902679668631427, + "z": 1.0 + } + }, + { + "new_object_id": "decorative_vase_2", + "style": "Classic", + "material": "Ceramic", + "description": "Classic ceramic vase for decorative purposes, enhancing the room's ambiance.", + "size_in_meters": { + "length": 0.25, + "width": 0.25, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "cabinet_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.285342420331927, + "y": 5.789371671099812, + "z": 2.0 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 0, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 7.2, + "z": 1.3 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.5, + "y": 3.6, + "z": 1.3 + }, + "size_in_meters": { + "length": 7.2, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.6, + "z": 1.3 + }, + "size_in_meters": { + "length": 7.2, + "width": 0.0, + "height": 2.6 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.75, + "y": 3.6, + "z": 0 + }, + "size_in_meters": { + "length": 3.5, + "width": 7.2, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.75, + "y": 3.6, + "z": 2.6 + }, + "size_in_meters": { + "length": 3.5, + "width": 7.2, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_8ac826bb-0229-443a-a9fc-fdc6ce7af073_LivingDiningRoom-13451_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3d-front_8ac826bb-0229-443a-a9fc-fdc6ce7af073_LivingDiningRoom-13451_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0a73f9ed3c003e7c0817a49b6ca3571db39b7d5 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_8ac826bb-0229-443a-a9fc-fdc6ce7af073_LivingDiningRoom-13451_fine/prompt.txt @@ -0,0 +1 @@ +I’m looking for an open-plan room where the dining zone is positioned to the side of the living zone, sharing the same open space. The dining table should sit closer to one short wall while the sofa a... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3d-front_8ac826bb-0229-443a-a9fc-fdc6ce7af073_LivingDiningRoom-13451_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/3d-front_8ac826bb-0229-443a-a9fc-fdc6ce7af073_LivingDiningRoom-13451_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..caf206024c9b4cd338a08f93e4792cf0d1e1acfe --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3d-front_8ac826bb-0229-443a-a9fc-fdc6ce7af073_LivingDiningRoom-13451_fine/scene.json @@ -0,0 +1,606 @@ +[ + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wood dining table designed to fit against a short wall, complementing an open-plan layout.", + "size_in_meters": { + "length": 1.8, + "width": 0.9, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "tv_stand_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.5 + } + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Contemporary", + "material": "Metal and fabric", + "description": "Contemporary metal frame dining chairs with fabric upholstery, providing comfort and style.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_2", + "style": "Contemporary", + "material": "Metal and fabric", + "description": "Contemporary metal frame dining chairs with fabric upholstery, providing comfort and style.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Contemporary", + "material": "Metal and fabric", + "description": "Contemporary metal frame dining chairs with fabric upholstery, providing comfort and style.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_4", + "style": "Contemporary", + "material": "Metal and fabric", + "description": "Contemporary metal frame dining chairs with fabric upholstery, providing comfort and style.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "sofa_1", + "style": "Mid-century Modern", + "material": "Leather", + "description": "Mid-century modern leather sofa, offering a chic and comfortable seating area for the living zone.", + "size_in_meters": { + "length": 2.2, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.6, + "y_neg": 0.0, + "y_pos": 1.2 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Scandinavian", + "material": "Wood", + "description": "Scandinavian wood coffee table, designed to complement the sofa in the living zone with simplicity and functionality.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.45 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Industrial", + "material": "Metal and wood", + "description": "Industrial-style bookshelf with metal frame and wooden shelves, ideal for storage and display.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_art_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Minimalist", + "material": "Metal", + "description": "Minimalist metal floor lamp to provide ambient light in the living zone, enhancing the open-plan design.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_1", + "style": "Modern", + "material": "Glass and metal", + "description": "Modern side table with glass top and metal legs, positioned near the sofa in the living zone.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "area_rug_1", + "style": "Bohemian", + "material": "Wool", + "description": "Bohemian wool area rug to define the seating space in the living zone with a touch of color and texture.", + "size_in_meters": { + "length": 2.0, + "width": 3.0, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "tv_stand_1", + "style": "Contemporary", + "material": "Wood and metal", + "description": "Contemporary wood and metal TV stand, providing a stylish base for entertainment systems in the living zone.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 2.8, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall_art_1", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to add visual interest and personality to the open-plan room.", + "size_in_meters": { + "length": 1.2, + "width": 0.05, + "height": 0.8 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall_art_2", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to add visual interest and personality to the open-plan room.", + "size_in_meters": { + "length": 1.2, + "width": 0.05, + "height": 0.8 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 1.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.2, + "y": 0, + "z": 1.35 + }, + "size_in_meters": { + "length": 6.4, + "width": 0.0, + "height": 2.7 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.2, + "y": 7.3, + "z": 1.35 + }, + "size_in_meters": { + "length": 6.4, + "width": 0.0, + "height": 2.7 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 6.4, + "y": 3.65, + "z": 1.35 + }, + "size_in_meters": { + "length": 7.3, + "width": 0.0, + "height": 2.7 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.65, + "z": 1.35 + }, + "size_in_meters": { + "length": 7.3, + "width": 0.0, + "height": 2.7 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.2, + "y": 3.65, + "z": 0 + }, + "size_in_meters": { + "length": 6.4, + "width": 7.3, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.2, + "y": 3.65, + "z": 2.7 + }, + "size_in_meters": { + "length": 6.4, + "width": 7.3, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..0256c87bd95c2cfec5bc653e0f7e0946edbddba2 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/prompt.txt @@ -0,0 +1 @@ +I'd like this compact L-shaped room organized so the far end feels like a basic workspace while the rest stays open for circulation. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..601bc71daa7c82316cb21623949faecdd303d9fd --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3rscan/5630cfe9-12bf-2860-840b-7363340dd0c4:coarse", + "prompt": "I'd like this compact L-shaped room organized so the far end feels like a basic workspace while the rest stays open for circulation.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/scene.json b/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..c4fb1628335d10270d0cf4ef045caf5e2bdd272f --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_5630cfe9-12bf-2860-840b-7363340dd0c4_coarse/scene.json @@ -0,0 +1,415 @@ +[ + { + "new_object_id": "desk_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden desk with clean lines, suitable for a compact workspace.", + "size_in_meters": { + "length": 1.5, + "width": 0.6, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.6, + "y_neg": 0.0, + "y_pos": 0.6 + } + }, + "position": { + "x": 3.191637675758522, + "y": 3.5, + "z": 0.375 + } + }, + { + "new_object_id": "office_chair_1", + "style": "Contemporary", + "material": "Metal and Fabric", + "description": "Contemporary office chair with metal frame and comfortable fabric, ideal for a workspace.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.1 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.091538963346206, + "y": 2.9000000000000004, + "z": 0.55 + } + }, + { + "new_object_id": "filing_cabinet_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal filing cabinet designed for efficient storage in a workspace.", + "size_in_meters": { + "length": 0.4, + "width": 0.6, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.1416376757585223, + "y": 3.4474233251404693, + "z": 0.5 + } + }, + { + "new_object_id": "table_lamp_1", + "style": "Industrial", + "material": "Metal", + "description": "Industrial-style metal table lamp providing focused lighting for the workspace.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.972062520404767, + "y": 3.43654168208727, + "z": 1.0 + } + }, + { + "new_object_id": "rug_1", + "style": "Contemporary", + "material": "Fabric", + "description": "Contemporary fabric rug to define the workspace area and add warmth.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.19685006422691, + "y": 2.196116691553738, + "z": 0.005 + } + }, + { + "new_object_id": "wall_shelves_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden wall shelves providing additional storage without occupying floor space.", + "size_in_meters": { + "length": 1.2, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.9299999999999993, + "y": 1.8251564263015911, + "z": 2.178440661132617 + } + }, + { + "new_object_id": "wall_shelves_2", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden wall shelves providing additional storage without occupying floor space.", + "size_in_meters": { + "length": 1.2, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.6, + "y": 1.9884630439735618, + "z": 1.7680103182460492 + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "Scandinavian", + "material": "Wood and Fabric", + "description": "Scandinavian floor lamp with wooden base and fabric shade, adding ambient lighting to the room.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "west_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.25, + "y": 3.55, + "z": 0.75 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.2649999999999997, + "y": 0, + "z": 1.5 + }, + "size_in_meters": { + "length": 4.529999999999999, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.2649999999999997, + "y": 3.8, + "z": 1.5 + }, + "size_in_meters": { + "length": 4.529999999999999, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.529999999999999, + "y": 1.9, + "z": 1.5 + }, + "size_in_meters": { + "length": 3.8, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.9, + "z": 1.5 + }, + "size_in_meters": { + "length": 3.8, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.2649999999999997, + "y": 1.9, + "z": 0 + }, + "size_in_meters": { + "length": 4.529999999999999, + "width": 3.8, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.2649999999999997, + "y": 1.9, + "z": 3.0 + }, + "size_in_meters": { + "length": 4.529999999999999, + "width": 3.8, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_569d8f1e-72aa-2f24-8a3e-837f59c9e1dc_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3rscan_569d8f1e-72aa-2f24-8a3e-837f59c9e1dc_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..19c0f481bc45f9208e11a5efa16662c974c2c069 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_569d8f1e-72aa-2f24-8a3e-837f59c9e1dc_medium/prompt.txt @@ -0,0 +1 @@ +I want a storage wall that can hold small bags, cases, and everyday items so the main study and desk areas stay visually clean and functional. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_569d8f1e-72aa-2f24-8a3e-837f59c9e1dc_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/3rscan_569d8f1e-72aa-2f24-8a3e-837f59c9e1dc_medium/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..043aa573ba89085a582a012f83889e5da40df0b6 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_569d8f1e-72aa-2f24-8a3e-837f59c9e1dc_medium/scene.json @@ -0,0 +1,489 @@ +[ + { + "new_object_id": "storage_wall_unit_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wood storage wall unit designed to hold small bags, cases, and everyday items, keeping the main study and desk areas clean and functional.", + "size_in_meters": { + "length": 4.0, + "width": 0.4, + "height": 2.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.096457773998372, + "y": 7.22, + "z": 1.25 + } + }, + { + "new_object_id": "desk_1", + "style": "Minimalist", + "material": "Metal", + "description": "A minimalist metal desk with clean lines, perfect for maintaining a functional study area without clutter.", + "size_in_meters": { + "length": 1.5, + "width": 0.7, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 1.3, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.6 + } + }, + "position": { + "x": 5.23, + "y": 3.0608934930424736, + "z": 0.375 + } + }, + { + "new_object_id": "office_chair_1", + "style": "Contemporary", + "material": "Leather", + "description": "A contemporary leather office chair that complements the modern aesthetic of the room while ensuring comfort during study sessions.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + 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"rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..0806ce7a66dbf1094164cae60aa02e217f2f05ff --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/prompt.txt @@ -0,0 +1 @@ +A small hobby-and-storage space that keeps decorative boxes, sacks, small gadgets, and a few playful items like toy-like objects and roller skates on open shelves, with a casual, slightly whimsical fe... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..351a5b2ec5f5fe2977c4ebb82777b51030ee9a55 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "3rscan/cdcaf5b9-ddd8-2ed6-9407-e5600914b733:medium", + "prompt": "A small hobby-and-storage space that keeps decorative boxes, sacks, small gadgets, and a few playful items like toy-like objects and roller skates on open shelves, with a casual, slightly whimsical feel.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/3rscan_cdcaf5b9-ddd8-2ed6-9407-e5600914b733_medium/scene.json new file mode 100644 index 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100644 index 0000000000000000000000000000000000000000..e3ee17f4cbd907ce183291d30d6f4e2450d7d0c6 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42898941_fine/scene.json @@ -0,0 +1,544 @@ +[ + { + "new_object_id": "round_side_table_1", + "style": "Modern Minimalism", + "material": "Light Wood", + "description": "A modern minimalist round side table made of light wood, providing a soft and playful detail alongside the large, dark bed.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bed_frame_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.3959694693521405, + "y": 0.5446085784612116, + "z": 0.25 + } + }, + { + "new_object_id": "toy_storage_bin_1", + "style": "Playful", + "material": "Colorful Plastic", + "description": "Playful toy storage bin made of colorful plastic, adding whimsy and functionality to the play zone.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "tall_cabinet_1", + "preposition": "in front", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.0726672570928026, + "y": 2.405255251402191, + "z": 0.2 + } + }, + { + "new_object_id": "toy_storage_bin_2", + "style": "Playful", + "material": "Colorful Plastic", + "description": "Playful toy storage bin made of colorful plastic, adding whimsy and functionality to the play zone.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "east_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.739999999999999, + "y": 2.6599999999999997, + "z": 0.2 + } + }, + { + "new_object_id": "bed_frame_1", + "style": "Modern", + "material": "Dark Wood", + "description": "Solid, geometric modern bed frame made of dark wood, providing a strong visual anchor in the sleeping zone.", + "size_in_meters": { + "length": 2.0, + "width": 1.8, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.6459694693521405, + "y": 1.0996259655662346, + "z": 0.25 + } + }, + { + "new_object_id": "tall_cabinet_1", + "style": "Modern", + "material": "Dark Wood", + "description": "Tall modern cabinet made of dark wood, offering geometric form and ample storage.", + "size_in_meters": { + "length": 0.8, + "width": 0.6, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "west_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.4 + } + }, + "position": { + "x": 0.3, + "y": 2.46, + "z": 1.0 + } + }, + { + "new_object_id": "colorful_recycling_bin_1", + "style": "Playful", + "material": "Colorful Plastic", + "description": "Set of playful recycling bins made of colorful plastic, visually connecting the recycling zone with the rest of the room.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_shelves_1", + "preposition": "in front", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.3, + "y": 1.0941080808041708, + "z": 0.4 + } + }, + { + "new_object_id": "colorful_recycling_bin_2", + "style": "Playful", + "material": "Colorful Plastic", + "description": "Set of playful recycling bins made of colorful plastic, visually connecting the recycling zone with the rest of the room.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 1.2, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.64, + "y": 1.753167214144209, + "z": 0.4 + } + }, + { + "new_object_id": "colorful_recycling_bin_3", + "style": "Playful", + "material": "Colorful Plastic", + "description": "Set of playful recycling bins made of colorful plastic, visually connecting the recycling zone with the rest of the room.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.097434865850913, + "y": 0.3, + "z": 0.4 + } + }, + { + "new_object_id": "wall_shelves_1", + "style": "Modern Minimalism", + "material": "Light Wood", + "description": "Minimalist wall shelves made of light wood, providing additional storage and display space while maintaining a clean look.", + "size_in_meters": { + "length": 1.2, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.6 + } + }, + "position": { + "x": 0.6, + "y": 2.683028466920029, + "z": 2.4344260476873147 + } + }, + { + "new_object_id": "wall_shelves_2", + "style": "Modern Minimalism", + "material": "Light Wood", + "description": "Minimalist wall shelves made of light wood, providing additional storage and display space while maintaining a clean look.", + "size_in_meters": { + "length": 1.2, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "colorful_recycling_bin_2", + "preposition": "behind", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.34, + "y": 0.8629273173989745, + "z": 0.18065533826336194 + } + }, + { + "new_object_id": "play_rug_1", + "style": "Playful", + "material": "Soft Fabric", + "description": "Soft fabric play rug, adding a whimsical touch and defining the play surface area.", + "size_in_meters": { + "length": 1.5, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.2083280281332347, + "y": 1.6913408108427934, + "z": 0.005 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.4699999999999998, + "y": 0, + "z": 1.5 + }, + "size_in_meters": { + "length": 4.9399999999999995, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.4699999999999998, + "y": 2.86, + "z": 1.5 + }, + "size_in_meters": { + "length": 4.9399999999999995, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.9399999999999995, + "y": 1.43, + "z": 1.5 + }, + "size_in_meters": { + "length": 2.86, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.43, + "z": 1.5 + }, + "size_in_meters": { + "length": 2.86, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.4699999999999998, + "y": 1.43, + "z": 0 + }, + "size_in_meters": { + "length": 4.9399999999999995, + "width": 2.86, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.4699999999999998, + "y": 1.43, + "z": 3.0 + }, + "size_in_meters": { + "length": 4.9399999999999995, + "width": 2.86, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42899236_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42899236_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7747a0614d9c189cf0373cc009197bc1883516c --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42899236_fine/prompt.txt @@ -0,0 +1 @@ +Create a compact TV viewing zone with a couch positioned along the lower wall and a rectangular TV table with a screen opposite it near the upper wall. Ensure the TV sits centered on the table and dir... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42899236_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42899236_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..0bc8bb767831c3891340170334928bee7e4fc7b9 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_42899236_fine/scene.json @@ -0,0 +1,335 @@ +[ + { + "new_object_id": "couch_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric couch suitable for a compact TV viewing zone, providing comfortable seating along the lower wall.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.8 + } + }, + "position": { + "x": 1.9310629631793805, + "y": 0.45, + "z": 0.4 + } + }, + { + "new_object_id": "tv_table_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary wooden TV table designed to hold a screen, positioned opposite the couch along the upper wall.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.6587951003818437, + "y": 4.12, + "z": 0.25 + } + }, + { + "new_object_id": "tv_1", + "style": "Modern", + "material": "Glass and Metal", + "description": "Modern TV made of glass and metal, centered on the TV table for optimal viewing from the couch.", + "size_in_meters": { + "length": 1.2, + "width": 0.1, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "tv_table_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.5127117479947167, + "y": 4.19627694635714, + "z": 0.85 + } + }, + { + "new_object_id": "cushion_1", + "style": "Contemporary", + "material": "Fabric", + "description": "A set of contemporary fabric cushions to provide additional comfort on the couch.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "couch_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.5591461253301526, + "y": 0.6210721734198479, + "z": 0.9 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Minimalist", + "material": "Wood", + "description": "Minimalist wooden coffee table positioned in front of the couch for convenient use during TV viewing.", + "size_in_meters": { + "length": 0.8, + "width": 0.5, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "couch_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.1320273774593703, + "y": 1.15, + "z": 0.2 + } + }, + { + "new_object_id": "rug_1", + "style": "Modern", + "material": "Textile", + "description": "Modern textile rug to define the seating area, adding warmth and style to the TV zone.", + "size_in_meters": { + "length": 2.5, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.3337753279645512, + "y": 1.4749917674889352, + "z": 0.005 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.9, + "y": 0, + "z": 1.5 + }, + "size_in_meters": { + "length": 3.8, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.9, + "y": 4.32, + "z": 1.5 + }, + "size_in_meters": { + "length": 3.8, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.8, + "y": 2.16, + "z": 1.5 + }, + "size_in_meters": { + "length": 4.32, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.16, + "z": 1.5 + }, + "size_in_meters": { + "length": 4.32, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.9, + "y": 2.16, + "z": 0 + }, + "size_in_meters": { + "length": 3.8, + "width": 4.32, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.9, + "y": 2.16, + "z": 3.0 + }, + "size_in_meters": { + "length": 3.8, + "width": 4.32, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/prompt.txt b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..318501f9059a63ff605660e0151284e47de08a02 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/prompt.txt @@ -0,0 +1 @@ +Contemporary powder room featuring a sleek wall-hung sink, compact toilet, natural fiber basket, and botanical wall art with a soft, neutral palette. \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..8ff70c2d1115a747db2f3edab1d14431ce8161a0 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "arkitscenes/Training/45261073:medium", + "prompt": "Contemporary powder room featuring a sleek wall-hung sink, compact toilet, natural fiber basket, and botanical wall art with a soft, neutral palette.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/scene.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..6fb897e6cf0fb52e458ab2c07eb56c5ab5d462e6 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_45261073_medium/scene.json @@ -0,0 +1,350 @@ +[ + { + "new_object_id": "wall_hung_sink_1", + "style": "Contemporary", + "material": "Ceramic", + "description": "A sleek, contemporary wall-hung sink made of durable ceramic for a minimalist look.", + "size_in_meters": { + "length": 0.5, + "width": 0.35, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.6, + "x_pos": 0.3, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.885148375139285, + "y": 0.175, + "z": 0.3113145916433866 + } + }, + { + "new_object_id": "compact_toilet_1", + "style": "Contemporary", + "material": "Ceramic", + "description": "A space-saving contemporary compact toilet crafted from high-quality ceramic.", + "size_in_meters": { + "length": 0.6, + "width": 0.35, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_hung_sink_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.335148375139285, + "y": 0.175, + "z": 0.4 + } + }, + { + "new_object_id": "natural_fiber_basket_1", + "style": "Contemporary", + "material": "Natural fiber", + "description": "A stylish basket made from natural fibers, perfect for storage in a contemporary powder room.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.3 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_hung_sink_1", + "preposition": "right of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.3333871486532207, + "y": 0.15, + "z": 0.15 + } + }, + { + "new_object_id": "botanical_wall_art_1", + "style": "Contemporary", + "material": "Canvas", + "description": "Contemporary botanical wall art printed on canvas to enhance the powder room's soft, neutral palette.", + "size_in_meters": { + "length": 0.5, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.475, + "y": 0.7006331895880331, + "z": 1.7397682511850605 + } + }, + { + "new_object_id": "wall_mirror_1", + "style": "Contemporary", + "material": "Glass", + "description": "A sleek contemporary wall mirror with a frameless design to complement the powder room's modern aesthetic.", + "size_in_meters": { + "length": 0.4, + "width": 0.02, + "height": 0.6 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_hung_sink_1", + "preposition": "above", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.513415857307591, + "y": 0.01, + "z": 1.93878695852745 + } + }, + { + "new_object_id": "small_shelf_1", + "style": "Contemporary", + "material": "Metal", + "description": "A compact contemporary metal shelf for additional storage or display in the powder room.", + "size_in_meters": { + "length": 0.4, + "width": 0.25, + "height": 0.15 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.125, + "y": 0.4816471384287683, + "z": 1.7501920814118526 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 0.75, + "y": 0, + "z": 1.5 + }, + "size_in_meters": { + "length": 1.5, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 0.75, + "y": 0.98, + "z": 1.5 + }, + "size_in_meters": { + "length": 1.5, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 1.5, + "y": 0.49, + "z": 1.5 + }, + "size_in_meters": { + "length": 0.98, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 0.49, + "z": 1.5 + }, + "size_in_meters": { + "length": 0.98, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 0.75, + "y": 0.49, + "z": 0 + }, + "size_in_meters": { + "length": 1.5, + "width": 0.98, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 0.75, + "y": 0.49, + "z": 3.0 + }, + "size_in_meters": { + "length": 1.5, + "width": 0.98, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47115216_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47115216_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..9193885ac2861d7232a8d3b9b3460686db808c68 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47115216_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "arkitscenes/Training/47115216:medium", + "prompt": "Arrange a compact sink area with a utility cabinet, integrated sink, and a nearby small side table, keeping the look clean and practical with neutral tones.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..d41b594258758038ffc3772113f38e8433343755 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/prompt.txt @@ -0,0 +1 @@ +I’m looking for an overhead chandelier centered above the bed area that becomes the main decorative lighting feature. Choose a modern fixture with several arms and globe shades spreading light evenly ... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..51e6141b5bb8ea15363fa38e348802a319c252ab --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "arkitscenes/Training/47331409:fine", + "prompt": "I\u2019m looking for an overhead chandelier centered above the bed area that becomes the main decorative lighting feature. Choose a modern fixture with several arms and globe shades spreading light evenly across the room. Let the metal finish add a subtle touch of glamour to the otherwise calm, functional bedroom.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..6e81da3323b819bd2527200858a4f7c99367651f --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47331409_fine/scene.json @@ -0,0 +1,533 @@ +[ + { + "new_object_id": "chandelier_1", + "style": "Modern", + "material": "Metal and Glass", + "description": "A modern chandelier with several arms and globe shades made of metal and glass, designed to spread light evenly and add a subtle touch of glamour.", + "size_in_meters": { + "length": 1.0, + "width": 1.0, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "ceiling", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.3467880322579355, + "y": 0.7122793128949151, + "z": 2.75 + } + }, + { + "new_object_id": "bed_1", + "style": "Contemporary", + "material": "Wood and Fabric", + "description": "A contemporary wooden bed with fabric upholstery, providing comfort and functionality in the bedroom.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.852561981999631, + "y": 1.5991806082049562, + "z": 0.25 + } + }, + { + "new_object_id": "bedside_table_1", + "style": "Minimalist", + "material": "Wood", + "description": "A minimalist wooden bedside table offering a simple and functional design.", + "size_in_meters": { + "length": 0.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bed_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.1025619819996315, + "y": 1.412481432659455, + "z": 0.25 + } + }, + { + "new_object_id": "bedside_table_2", + "style": "Minimalist", + "material": "Wood", + "description": "A minimalist wooden bedside table offering a simple and functional design.", + "size_in_meters": { + "length": 0.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bed_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.602561981999631, + "y": 2.0350377918153777, + "z": 0.25 + } + }, + { + "new_object_id": "wardrobe_1", + "style": "Contemporary", + "material": "Wood", + "description": "A contemporary wooden wardrobe providing ample storage space with a sleek design.", + "size_in_meters": { + "length": 1.5, + "width": 0.6, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 1.2, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 5.5398167809905114, + "y": 2.1, + "z": 1.0 + } + }, + { + "new_object_id": "desk_1", + "style": "Modern", + "material": "Metal and Wood", + "description": "A modern desk made of metal and wood, designed for functionality and style.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "wardrobe_1", + "preposition": "right of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.6 + } + }, + "position": { + "x": 0.9390146136777755, + "y": 1.3007413383700444, + "z": 0.375 + } + }, + { + "new_object_id": "desk_chair_1", + "style": "Ergonomic", + "material": "Metal and Fabric", + "description": "An ergonomic desk chair made of metal and fabric, providing comfort and support.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.33901461367777547, + "y": 1.1137813037230615, + "z": 0.5 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wooden bookshelf designed to maximize storage space and organize books and decor.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bed_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 6.261534334824639, + "y": 1.1761186567377964, + "z": 1.0 + } + }, + { + "new_object_id": "rug_1", + "style": "Contemporary", + "material": "Fabric", + "description": "A contemporary fabric rug to add warmth and texture to the bedroom floor.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "bed_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.8757688548357074, + "y": 1.6185152344919764, + "z": 0.005 + } + }, + { + "new_object_id": "wall_art_1", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to add visual interest to the bedroom walls.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.06430781935517, + "y": 0.025, + "z": 2.5802337301906175 + } + }, + { + "new_object_id": "wall_art_2", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to add visual interest to the bedroom walls.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 6.475, + "y": 1.042841048555555, + "z": 0.6081752418256889 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.25, + "y": 0, + "z": 1.5 + }, + "size_in_meters": { + "length": 6.5, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.25, + "y": 2.4, + "z": 1.5 + }, + "size_in_meters": { + "length": 6.5, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 6.5, + "y": 1.2, + "z": 1.5 + }, + "size_in_meters": { + "length": 2.4, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.2, + "z": 1.5 + }, + "size_in_meters": { + "length": 2.4, + "width": 0.0, + "height": 3.0 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.25, + "y": 1.2, + "z": 0 + }, + "size_in_meters": { + "length": 6.5, + "width": 2.4, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.25, + "y": 1.2, + "z": 3.0 + }, + "size_in_meters": { + "length": 6.5, + "width": 2.4, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47429816_medium/prompt_info.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47429816_medium/prompt_info.json new file mode 100644 index 0000000000000000000000000000000000000000..5c110acc6788bdae07c67387b42d49c172cb213e --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47429816_medium/prompt_info.json @@ -0,0 +1,5 @@ +{ + "sample_id": "arkitscenes/Training/47429816:medium", + "prompt": "A room that includes a compact entry zone with clothes on hangers and a simple door, maintaining a minimal, organized wardrobe feel near the entrance.", + "source": "zones_data_mixed" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47895860_fine/prompt.txt b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47895860_fine/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b24b6b0666c3386d21b734e8ee593a9595109b5 --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47895860_fine/prompt.txt @@ -0,0 +1 @@ +I’m looking for a bedroom layout where a double bed with a headboard sits against the upper central wall, with a small wall light mounted just above one side. I’d like two pillows on the bed, includin... \ No newline at end of file diff --git a/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47895860_fine/scene.json b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47895860_fine/scene.json new file mode 100644 index 0000000000000000000000000000000000000000..a651735aa0dbe6a3c06476a73abc7b574d1d653c --- /dev/null +++ b/eval/IDesign/evaluation/evaluation_results/arkitscenes_Training_47895860_fine/scene.json @@ -0,0 +1,432 @@ +[ + { + "new_object_id": "double_bed_1", + "style": "Modern", + "material": "Wood", + "description": "Modern double bed with a wooden frame and an upholstered headboard.", + "size_in_meters": { + "length": 2.0, + "width": 1.6, + "height": 1.2 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.6, + "x_pos": 0.6, + "y_neg": 0.0, + "y_pos": 2.0 + } + } + }, + { + "new_object_id": "wall_light_1", + "style": "Contemporary", + "material": "Metal", + "description": "Contemporary metal wall light fixture to be mounted above one side of the bed.", + "size_in_meters": { + "length": 0.3, + "width": 0.2, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "double_bed_1", + "preposition": "above", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "pillow_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric pillows with soft filling.", + "size_in_meters": { + "length": 0.6, 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"is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.5 + } + } + }, + { + "new_object_id": "decorative_pillow_1", + "style": "Modern", + "material": "Fabric", + "description": "Fabric decorative pillow with colorful pattern.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "double_bed_1", + "preposition": "on", + "is_adjacent": true + }, + { + "object_id": "pillow_1", + "preposition": "in front", + "is_adjacent": true + }, + { + "object_id": "pillow_2", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": 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100644 index 0000000000000000000000000000000000000000..32da40930bc4dc3a5f43400024367e9c9cc36e4e --- /dev/null +++ b/eval/IDesign/evaluation/pipeline_output/20260104_121207/scene_graph.json @@ -0,0 +1,829 @@ +[ + { + "new_object_id": "kitchen_cabinet_1", + "style": "Modern", + "material": "Wood", + "description": "Modern kitchen cabinet made from wood with sleek design and ample storage space.", + "size_in_meters": { + "length": 2.0, + "width": 0.6, + "height": 2.2 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 1.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_table_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary wood dining table with a minimalist design for multi-use purposes.", + "size_in_meters": { + "length": 1.8, + "width": 1.0, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.5, + "y_pos": 0.5 + } + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary dining chair made from wood with a comfortable design.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.95 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_2", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary dining chair made from wood with a comfortable design.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.95 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary dining chair made from wood with a comfortable design.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.95 + }, + 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+ }, + { + "new_object_id": "work_desk_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal work desk suitable for home office use.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 1.5, + "y_neg": 0.0, + "y_pos": 0.6 + } + } + }, + { + "new_object_id": "office_chair_1", + "style": "Modern", + "material": "Metal and Fabric", + "description": "Modern office chair with a metal frame and fabric upholstery for comfort.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + 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"decorative_plant_1", + "style": "Modern", + "material": "Plastic", + "description": "Modern decorative plant made from high-quality plastic for a realistic look.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "bookshelf_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "decorative_plant_2", + "style": "Modern", + "material": "Plastic", + "description": "Modern decorative plant made from high-quality plastic for a realistic look.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "wall_shelf_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall_shelf_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wall shelf for storage and display, made from wood.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "kitchen_cabinet_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall_shelf_2", + "style": "Modern", + "material": "Wood", + "description": "Modern wall shelf for storage and display, made from wood.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "work_desk_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "wall_shelf_3", + "style": "Modern", + "material": "Wood", + "description": "Modern wall shelf for storage and display, made from wood.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 1.5, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.5, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 7.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.5, + "y": 6.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 7.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 7.0, + "y": 3.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 6.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 3.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 6.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.5, + "y": 3.0, + "z": 0 + }, + "size_in_meters": { + "length": 7.0, + "width": 6.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.5, + "y": 3.0, + "z": 2.8 + }, + "size_in_meters": { + "length": 7.0, + "width": 6.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2/bathroom_U-shaped_00_010615_1766307942385303/evaluation.json b/eval/IDesign/evaluation/results_irregular_v2/bathroom_U-shaped_00_010615_1766307942385303/evaluation.json new file mode 100644 index 0000000000000000000000000000000000000000..5e313d0ee8cc38153126f36100a4b6181ec71286 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2/bathroom_U-shaped_00_010615_1766307942385303/evaluation.json @@ -0,0 +1,34 @@ +{ + "sample_id": "U-shaped_00_010615_1766307942385303", + "room_type": "bathroom", + "prompt": "Render a top-down blueprint of a single open-plan bathroom in a long rectangular shape, where fixtures at one narrow end create a toilet and bathing zone while the rest of the length remains open circulation space that naturally guides movement along the room.", + "room_bounds": { + "min": [ + 0, + 0, + 0 + ], + "max": [ + 2.5, + 2.0, + 2.8 + ] + }, + "timestamp": "2026-01-19T17:59:05.536707", + "generation_time": 33.84185075759888, + "method": "bbox", + "total_out_of_bounds_volume": 0.002624999999999992, + "total_collision_volume": 0.0, + "per_object_out_of_bounds": { + "toilet_1": 0, + "towel_rack_1": 0.002624999999999992, + "south_wall": 0, + "north_wall": 0, + "east_wall": 0, + "west_wall": 0, + "middle of the room": 0, + "ceiling": 0 + }, + "collision_pairs": [], + "num_objects": 8 +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2/bathroom_U-shaped_00_010615_1766307942385303/scene_graph.json b/eval/IDesign/evaluation/results_irregular_v2/bathroom_U-shaped_00_010615_1766307942385303/scene_graph.json new file mode 100644 index 0000000000000000000000000000000000000000..3f943c7f1d0facf177a73c4ecfc49fb5596cf08a --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2/bathroom_U-shaped_00_010615_1766307942385303/scene_graph.json @@ -0,0 +1,188 @@ +[ + { + "new_object_id": "toilet_1", + "style": "Modern", + "material": "Ceramic", + "description": "Modern ceramic toilet with sleek lines suitable for a contemporary bathroom design.", + "size_in_meters": { + "length": 0.7, + "width": 0.5, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + }, + { + "layout_element_id": "south_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "west_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.35, + "y": 0.25, + "z": 0.4 + } + }, + { + "new_object_id": "towel_rack_1", + "style": "Contemporary", + "material": "Metal", + "description": "Contemporary metal towel rack with a sleek design for efficient use of space.", + "size_in_meters": { + "length": 0.5, + "width": 0.15, + "height": 0.1 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": 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"z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 2.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.25, + "y": 1.0, + "z": 0 + }, + "size_in_meters": { + "length": 2.5, + "width": 2.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.25, + "y": 1.0, + "z": 2.8 + }, + "size_in_meters": { + "length": 2.5, + "width": 2.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/H-shaped_02_001632_1766365427033461_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/H-shaped_02_001632_1766365427033461_result.json new file mode 100644 index 0000000000000000000000000000000000000000..e79538c47277c221bb9b7b74276efaa99cced8d6 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/H-shaped_02_001632_1766365427033461_result.json @@ -0,0 +1,651 @@ +{ + "sample_id": "H-shaped_02_001632_1766365427033461", + "room_type": "dining_room", + "prompt": "Avoiding any room-within-a-room structures, plan a single open dining room whose outer perimeter forms a near-perfect square with shallow central recesses on each side, creating a symmetric cross-like outline while keeping the interior volume continuous.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 5.3725, + "total_collision_volume": 2.691860843074967, + "per_object_out_of_bounds": { + "dining_table_1": 0.125, + "chair_1": 0.050000000000000044, + "chair_2": 0.050000000000000044, + "chair_3": 0.050000000000000044, + "chair_4": 0.050000000000000044, + "sideboard_1": 0.3524999999999998, + "pendant_light_1": 0.25, + "art_1": 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room" + ], + "volume": 0.10624182269297272 + }, + { + "objects": [ + "chair_4", + "sideboard_1" + ], + "volume": 0.13217083383217293 + }, + { + "objects": [ + "chair_4", + "rug_1" + ], + "volume": 0.2006423255033923 + }, + { + "objects": [ + "chair_4", + "north_wall" + ], + "volume": 0.0033923175073419516 + }, + { + "objects": [ + "chair_4", + "middle of the room" + ], + "volume": 0.04216273236386102 + }, + { + "objects": [ + "sideboard_1", + "north_wall" + ], + "volume": 0.00010299470879569003 + }, + { + "objects": [ + "pendant_light_1", + "ceiling" + ], + "volume": 0.24220739481759934 + }, + { + "objects": [ + "art_1", + "east_wall" + ], + "volume": 0.30894530817034327 + }, + { + "objects": [ + "rug_1", + "middle of the room" + ], + "volume": 0.3922580043462493 + } + ], + "num_objects": 16 + }, + "scene_data": [ + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Wood", + "description": "A modern dining table made of high-quality wood to fit the symmetric cross-like layout of the room.", + "size_in_meters": { + "length": 1.8, + "width": 0.9, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.5, + "y_pos": 0.5 + } + }, + "position": { + "x": 2.2794018794886197, + "y": 1.9173764657136012, + "z": 0.375 + } + }, + { + "new_object_id": "chair_1", + "style": "Classic", + "material": "Metal", + "description": "Classic dining chairs with metal frames, complementing the modern wooden dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": 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0.45 + } + }, + { + "new_object_id": "chair_3", + "style": "Classic", + "material": "Metal", + "description": "Classic dining chairs with metal frames, complementing the modern wooden dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.5866994499692497, + "y": 1.2173764657136013, + "z": 0.45 + } + }, + { + "new_object_id": "chair_4", + "style": "Classic", + "material": "Metal", + "description": "Classic dining chairs with metal frames, complementing the modern wooden dining table.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + 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"style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to enhance the aesthetics of the dining room.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.975, + "y": 2.2879026828673936, + "z": 1.7142851711301246 + } + }, + { + "new_object_id": "art_2", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to enhance the aesthetics of the dining room.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.025, + "y": 2.770116307181268, + "z": 0.742505452194141 + } + }, + { + "new_object_id": "rug_1", + "style": "Modern", + "material": "Wool", + "description": "Modern wool rug positioned centrally to complement the dining table and chairs.", + "size_in_meters": { + "length": 2.0, + "width": 2.0, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.9315635672095546, + "y": 2.326809179777582, + "z": 0.005 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.75, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.75, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T10:39:45.407134" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/H-shaped_03_004663_1766385400231889_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/H-shaped_03_004663_1766385400231889_result.json new file mode 100644 index 0000000000000000000000000000000000000000..8cb60e80628759d61a40223ae97382802a7e87e8 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/H-shaped_03_004663_1766385400231889_result.json @@ -0,0 +1,573 @@ +{ + "sample_id": "H-shaped_03_004663_1766385400231889", + "room_type": "office", + "prompt": "Develop a single-space layout for a compact, irregularly shaped office where the long angled wall holds a main corner workstation with computer, monitor, desk lamp, and storage shelves, the opposite straight wall features a full-length bookcase, and the remaining side hosts a secondary desk with laptop, chair, and plants, leaving an open wood-floor area in the center with a round rug and a reading chair near the entrance.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 9.125, + "total_collision_volume": 21.002499999999998, + "per_object_out_of_bounds": { + "computer_monitor_1": 0.875, + "desk_lamp_1": 0.875, + "full_length_bookcase_1": 0.875, + "secondary_desk_1": 0.875, + "office_chair_1": 0.875, + "round_rug_1": 0.875, + "reading_chair_1": 0.875, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "corner_workstation_1", + "east_wall" + ], + "volume": 0.0025000000000000044 + }, + { + "objects": [ + "computer_monitor_1", + "desk_lamp_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "computer_monitor_1", + "full_length_bookcase_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "computer_monitor_1", + "secondary_desk_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "computer_monitor_1", + "office_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "computer_monitor_1", + "round_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "computer_monitor_1", + "reading_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "desk_lamp_1", + "full_length_bookcase_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "desk_lamp_1", + "secondary_desk_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "desk_lamp_1", + "office_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "desk_lamp_1", + "round_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "desk_lamp_1", + "reading_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "full_length_bookcase_1", + "secondary_desk_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "full_length_bookcase_1", + "office_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "full_length_bookcase_1", + "round_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "full_length_bookcase_1", + "reading_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "secondary_desk_1", + "office_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "secondary_desk_1", + "round_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "secondary_desk_1", + "reading_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "office_chair_1", + "round_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "office_chair_1", + "reading_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "round_rug_1", + "reading_chair_1" + ], + "volume": 1.0 + } + ], + "num_objects": 14 + }, + "scene_data": [ + { + "new_object_id": "corner_workstation_1", + "style": "Modern", + "material": "Metal and wood", + "description": "Modern corner workstation with a sleek metal frame and wood finish that fits perfectly into the angled wall space.", + "size_in_meters": { + "length": 1.5, + "width": 1.2, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "east_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.25, + "y": 2.4, + "z": 0.5 + } + }, + { + "new_object_id": "computer_monitor_1", + "style": "Contemporary", + "material": "Plastic and glass", + "description": "Contemporary computer monitor with a slim plastic frame and clear glass screen for the corner workstation.", + "size_in_meters": { + "length": 0.6, + "width": 0.2, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "corner_workstation_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.2, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "desk_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal desk lamp with adjustable height and angle for optimal lighting at the corner workstation.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "corner_workstation_1", + "preposition": "on", + "is_adjacent": true + }, + { + "object_id": "computer_monitor_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "full_length_bookcase_1", + "style": "Classic", + "material": "Wood", + "description": "Classic full-length bookcase made from rich wood, providing ample storage on the opposite straight wall.", + "size_in_meters": { + "length": 2.0, + "width": 0.3, + "height": 2.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "secondary_desk_1", + "style": "Minimalist", + "material": "Wood", + "description": "Minimalist wood desk designed for laptop use, positioned on the remaining side wall.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.6 + } + } + }, + { + "new_object_id": "office_chair_1", + "style": "Ergonomic", + "material": "Fabric and metal", + "description": "Ergonomic office chair with fabric cushioning and metal frame for comfort at the secondary desk.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "secondary_desk_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "round_rug_1", + "style": "Contemporary", + "material": "Fabric", + "description": "Contemporary round rug made from soft fabric, placed in the center of the room to define the open area.", + "size_in_meters": { + "length": 1.5, + "width": 1.5, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "ceiling", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "reading_chair_1", + "style": "Modern", + "material": "Wood and fabric", + "description": "Modern reading chair with a comfortable fabric seat and wooden legs, positioned near the entrance.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.5, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.5, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T09:03:44.505893" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Other_irregular_shapes_01_006046_1766276780289032_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Other_irregular_shapes_01_006046_1766276780289032_result.json new file mode 100644 index 0000000000000000000000000000000000000000..2176ce34f8bf9b225abd5cdb58a057a1510f8e27 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Other_irregular_shapes_01_006046_1766276780289032_result.json @@ -0,0 +1,847 @@ +{ + "sample_id": "Other_irregular_shapes_01_006046_1766276780289032", + "room_type": "living_room", + "prompt": "A plan view displaying the organization of a bright living room with an irregular polygonal perimeter, where a rectangular main floor area is capped on one side by a faceted, glass-roofed bay that projects outward to form a multi-sided geometric envelope around the seating and plant-filled space.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 12.1875, + "total_collision_volume": 45.0, + "per_object_out_of_bounds": { + "sofa_1": 0.875, + "coffee_table_1": 0.875, + "armchair_1": 0.875, + "bookshelf_1": 0.875, + "indoor_plant_1": 0.875, + "indoor_plant_2": 0.4375, + "indoor_plant_3": 0.875, + "pendant_light_1": 0.875, + "pendant_light_2": 0.875, + "rug_1": 0.875, + "side_table_1": 0.875, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "sofa_1", + "coffee_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "armchair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "bookshelf_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "indoor_plant_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "indoor_plant_3" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "pendant_light_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "pendant_light_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "armchair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "bookshelf_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "indoor_plant_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "indoor_plant_3" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "pendant_light_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "pendant_light_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "bookshelf_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "indoor_plant_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "indoor_plant_3" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "pendant_light_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "pendant_light_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "armchair_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "bookshelf_1", + "indoor_plant_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "bookshelf_1", + "indoor_plant_3" + ], + "volume": 1.0 + }, + { + "objects": [ + "bookshelf_1", + "pendant_light_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "bookshelf_1", + "pendant_light_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "bookshelf_1", + "rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + 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"rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T11:29:57.315856" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Other_irregular_shapes_04_003039_1766374661304365_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Other_irregular_shapes_04_003039_1766374661304365_result.json new file mode 100644 index 0000000000000000000000000000000000000000..aa778c76b65ccafc88cde9f8e071213169fc8b5f --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Other_irregular_shapes_04_003039_1766374661304365_result.json @@ -0,0 +1,593 @@ +{ + "sample_id": "Other_irregular_shapes_04_003039_1766374661304365", + "room_type": "dining_room", + "prompt": "A high-quality 2D rendering showing a single open-plan dining room with a near-rectangular footprint whose long walls are slightly offset by shallow recesses and balcony cut-outs, creating a subtly irregular perimeter framed by large windowed openings and 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2.874386241739173, + "z": 2.1449786001984523 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.75, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.75, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T10:31:37.647335" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_00_006465_1766279164753982_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_00_006465_1766279164753982_result.json new file mode 100644 index 0000000000000000000000000000000000000000..51c2a23937d0cd851780b23f43784c57fd117a59 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_00_006465_1766279164753982_result.json @@ -0,0 +1,695 @@ +{ + "sample_id": "Rectangular_00_006465_1766279164753982", + "room_type": "kitchen", + "prompt": "How would you organize a single open kitchen like this one so the long L-shaped countertop with stove, sink, fridge, and cabinets flows smoothly into the different eating and lounging zones, including the central dining table, extra smaller tables, and the cozy corner with a sofa, rug, and coffee table, all without adding any interior walls?", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 10.875, + "total_collision_volume": 36.0, + "per_object_out_of_bounds": { + "dining_table_1": 0.875, + "dining_chair_1": 0.875, + "dining_chair_3": 0.875, + "coffee_table_1": 0.875, + "sofa_1": 0.875, + "area_rug_1": 0.875, + "bar_stool_1": 0.875, + "bar_stool_2": 0.875, + "side_table_1": 0.875, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "dining_table_1", + "dining_chair_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "dining_chair_3" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "coffee_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "sofa_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "area_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "bar_stool_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_table_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "dining_chair_3" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "coffee_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "sofa_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "area_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "bar_stool_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_3", + "coffee_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_3", + "sofa_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_3", + "area_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_3", + "bar_stool_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_3", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "dining_chair_3", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "sofa_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "area_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "bar_stool_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "coffee_table_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "area_rug_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "bar_stool_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "sofa_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "area_rug_1", + "bar_stool_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "area_rug_1", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "area_rug_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "bar_stool_1", + "bar_stool_2" + ], + "volume": 1.0 + }, + { + "objects": [ + "bar_stool_1", + "side_table_1" + ], + "volume": 1.0 + }, + { + "objects": [ + "bar_stool_2", + "side_table_1" + ], + "volume": 1.0 + } + ], + "num_objects": 15 + }, + "scene_data": [ + { + "new_object_id": "dining_table_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden dining table suitable for central dining area.", + "size_in_meters": { + "length": 1.5, + "width": 0.8, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_1", + "style": "Modern", + "material": "Metal and Upholstery", + "description": "Modern dining chairs with metal frames and upholstered seating.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "dining_chair_3", + "style": "Modern", + "material": "Metal and Upholstery", + "description": "Modern dining chairs with metal frames and upholstered seating.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.9 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "dining_table_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Contemporary", + "material": "Glass and Metal", + "description": "Contemporary coffee table with glass top and metal legs for cozy corner.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 0.45 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "sofa_1", + "style": "Mid-century Modern", + "material": "Fabric and Wood", + "description": "Mid-century modern fabric sofa with wooden legs for lounging area.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.6, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.8 + } + } + }, + { + "new_object_id": "area_rug_1", + "style": "Modern", + "material": "Synthetic Fiber", + "description": "Modern synthetic fiber area rug to define the cozy corner.", + "size_in_meters": { + "length": 1.5, + "width": 1.2, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "bar_stool_1", + "style": "Industrial", + "material": "Metal and Wood", + "description": "Industrial style metal and wood bar stools for the countertop.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.4, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "bar_stool_2", + "style": "Industrial", + "material": "Metal and Wood", + "description": "Industrial style metal and wood bar stools for the countertop.", + "size_in_meters": { + "length": 0.4, + "width": 0.4, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bar_stool_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_1", + "style": "Scandinavian", + "material": "Wood", + "description": "Scandinavian wooden side table for additional surface space.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 3.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.5, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.75, + "y": 1.5, + "z": 0 + }, + "size_in_meters": { + "length": 3.5, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.75, + "y": 1.5, + "z": 2.8 + }, + "size_in_meters": { + "length": 3.5, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T10:04:33.705275" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_01_009611_1766301123955417_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_01_009611_1766301123955417_result.json new file mode 100644 index 0000000000000000000000000000000000000000..04f384fbf3cae582ce833089167c0dc34e36b339 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_01_009611_1766301123955417_result.json @@ -0,0 +1,337 @@ +{ + "sample_id": "Rectangular_01_009611_1766301123955417", + "room_type": "bathroom", + "prompt": "Create a schematic layout of a bathroom where a central open circulation path connects distinct functional zones, including a primary toileting and washing area along one side, a separate enclosed nook optimized for seated relaxation or reading, and an adjacent open zone that can support grooming or light personal-care tasks, all defined by the placement of fixtures, built-in cabinetry, and seating rather than interior walls.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 4.275, + "total_collision_volume": 0.8253626218000062, + "per_object_out_of_bounds": { + "compact_corner_bathtub_1": 0.28, + "wall-mounted_toilet_1": 0.32499999999999996, + "built-in_cabinet_1": 0.3500000000000001, + "relaxation_nook_chair_1": 0.31999999999999995, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "compact_corner_bathtub_1", + "built-in_cabinet_1" + ], + "volume": 0.010230891141914725 + }, + { + "objects": [ + "compact_corner_bathtub_1", + "middle of the room" + ], + "volume": 0.2221686581042313 + }, + { + "objects": [ + "wall-mounted_toilet_1", + "north_wall" + ], + "volume": 0.1847110052351621 + }, + { + "objects": [ + "wall-mounted_toilet_1", + "west_wall" + ], + "volume": 0.04323824149139941 + }, + { + "objects": [ + "built-in_cabinet_1", + "relaxation_nook_chair_1" + ], + "volume": 0.21228105458076613 + }, + { + "objects": [ + "built-in_cabinet_1", + "east_wall" + ], + "volume": 0.06120299430496413 + }, + { + "objects": [ + "relaxation_nook_chair_1", + "middle of the room" + ], + "volume": 0.0915297769415684 + } + ], + "num_objects": 10 + }, + "scene_data": [ + { + "new_object_id": "compact_corner_bathtub_1", + "style": "Modern", + "material": "Acrylic", + "description": "Modern acrylic compact corner bathtub designed for efficient use in small spaces, ideal for the primary toileting and washing area.", + "size_in_meters": { + "length": 1.2, + "width": 0.8, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.4565405067706023, + "y": 1.6, + "z": 0.3 + } + }, + { + "new_object_id": "wall-mounted_toilet_1", + "style": "Contemporary", + "material": "Ceramic", + "description": "Contemporary ceramic wall-mounted toilet, maximizing floor space in the primary toileting area.", + "size_in_meters": { + "length": 0.5, + "width": 0.35, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "compact_corner_bathtub_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.6065405067706023, + "y": 1.825, + "z": 1.772042942369451 + } + }, + { + "new_object_id": "built-in_cabinet_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden built-in cabinet for storage and organization in the grooming area, contributing to an uncluttered space.", + "size_in_meters": { + "length": 0.6, + "width": 0.3, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.35, + "y": 0.7200352271172243, + "z": 0.5 + } + }, + { + "new_object_id": "relaxation_nook_chair_1", + "style": "Scandinavian", + "material": "Wood and Fabric", + "description": "Scandinavian style chair made from wood and fabric, optimized for seated relaxation or reading in the relaxation nook.", + "size_in_meters": { + "length": 0.7, + "width": 0.6, + "height": 0.7 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.7806165285047775, + "y": 0.3, + "z": 0.35 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.25, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 2.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.25, + "y": 2.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 2.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 2.5, + "y": 1.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 2.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 2.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.25, + "y": 1.0, + "z": 0 + }, + "size_in_meters": { + "length": 2.5, + "width": 2.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.25, + "y": 1.0, + "z": 2.8 + }, + "size_in_meters": { + "length": 2.5, + "width": 2.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T07:16:52.634030" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_04_000284_1766237892731994_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_04_000284_1766237892731994_result.json new file mode 100644 index 0000000000000000000000000000000000000000..caacb62d4f325a7f285c9f2d1dfe3158d9a77f95 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_04_000284_1766237892731994_result.json @@ -0,0 +1,498 @@ +{ + "sample_id": "Rectangular_04_000284_1766237892731994", + "room_type": "bedroom", + "prompt": "Adapting to the unique wall angles, create a bedroom where the irregular perimeter and built-in cabinetry naturally carve out a central sleeping zone around the bed, a more secluded work or study corner along the angled side, and an open circulation band that guides movement between these activity areas without any internal walls.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 5.3209496110581895, + "total_collision_volume": 0.9586083526155185, + "per_object_out_of_bounds": { + "bed_1": 0.25, + "desk_1": 0.30000000000000016, + "chair_1": 0.2944003528210629, + "bookshelf_1": 0.07461072782514044, + "rug_1": 0.49, + "table_lamp_1": 0.31193853041198594, + "wardrobe_1": 0.19999999999999996, + "ceiling_light_1": 0.3999999999999999, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "bed_1", + "middle of the room" + ], + "volume": 0.14030609390959778 + }, + { + "objects": [ + "desk_1", + "chair_1" + ], + "volume": 0.14390994266657736 + }, + { + "objects": [ + "desk_1", + "table_lamp_1" + ], + "volume": 0.19660250761251757 + }, + { + "objects": [ + "chair_1", + "east_wall" + ], + "volume": 1.7418281550215438e-17 + }, + { + "objects": [ + "bookshelf_1", + "table_lamp_1" + ], + "volume": 0.27467019943280574 + }, + { + "objects": [ + "rug_1", + "wardrobe_1" + ], + "volume": 0.0005756840771631103 + }, + { + "objects": [ + "rug_1", + "middle of the room" + ], + "volume": 0.0007927387496744592 + }, + { + "objects": [ + "table_lamp_1", + "east_wall" + ], + "volume": 0.2017511861671825 + } + ], + "num_objects": 14 + }, + "scene_data": [ + { + "new_object_id": "bed_1", + "style": "Modern", + "material": "Wood and Fabric", + "description": "A modern wooden bed with a fabric headboard designed to fit into the central sleeping zone, blending seamlessly with the room's architecture.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.2845080459542144, + "y": 2.0924622096291454, + "z": 0.25 + } + }, + { + "new_object_id": "desk_1", + "style": "Contemporary", + "material": "Metal and Wood", + "description": "A contemporary metal and wood desk designed to fit along the angled side of the room, providing a secluded work or study area.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 1.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.7, + "y": 1.8191198976226832, + "z": 0.375 + } + }, + { + "new_object_id": "chair_1", + "style": "Minimalist", + "material": "Plastic", + "description": "A minimalist plastic chair that complements the desk in the work or study corner, offering comfort and style.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.7160003920234037, + "y": 0.9691198976226834, + "z": 0.4 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wooden bookshelf designed to store books and decorative items, enhancing the study corner's functionality.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.57461072782514, + "y": 2.919119897622683, + "z": 1.0 + } + }, + { + "new_object_id": "rug_1", + "style": "Contemporary", + "material": "Wool", + "description": "A contemporary wool rug placed in the central sleeping zone, adding warmth and texture to the area.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bed_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.7052470156436876, + "y": 0.7511354124073273, + "z": 0.01 + } + }, + { + "new_object_id": "table_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "A modern metal table lamp to be placed on the desk, providing adequate lighting for the work or study area.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.811938530411986, + "y": 2.298216614009366, + "z": 0.95 + } + }, + { + "new_object_id": "wardrobe_1", + "style": "Classic", + "material": "Wood", + "description": "A classic wooden wardrobe designed to fit along one of the walls, offering storage space for clothes while blending with the room's built-in cabinetry.", + "size_in_meters": { + "length": 1.5, + "width": 0.6, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.8101333738050089, + "y": 0.3, + "z": 1.0 + } + }, + { + "new_object_id": "ceiling_light_1", + "style": "Modern", + "material": "Glass and Metal", + "description": "A modern glass and metal ceiling light fixture that illuminates the entire room, enhancing the open circulation band.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.2 + }, + "is_on_the_floor": false, + "facing": "middle of the room", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "ceiling", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.96950353238357, + "y": 0.7363210617939606, + "z": 2.6999999999999997 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.75, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.75, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T08:11:54.012652" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_04_003199_1766257658845183_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_04_003199_1766257658845183_result.json new file mode 100644 index 0000000000000000000000000000000000000000..b34f8d1bc60feb7fd3a5e95dc043a14f64d89307 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Rectangular_04_003199_1766257658845183_result.json @@ -0,0 +1,488 @@ +{ + "sample_id": "Rectangular_04_003199_1766257658845183", + "room_type": "living_room", + "prompt": "Can you help me arrange furniture in a bright open-plan living room so that one end near the large windows becomes a relaxed conversation area while the rest of the space flows around it for easy movement and access to the surrounding greenery without any walls separating zones?", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 6.371325311084771, + "total_collision_volume": 0.7496428682493399, + "per_object_out_of_bounds": { + "sofa_1": 0.14500000000000002, + "coffee_table_1": 0.27500000000000013, + "side_table_1": 0.36782531108477234, + "bookshelf_1": 0.34999999999999964, + "floor_lamp_1": 0.5774999999999997, + "floor_lamp_2": 0.5774999999999997, + "rug_1": 0.495, + "plant_pot_3": 0.5834999999999998, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "sofa_1", + "coffee_table_1" + ], + "volume": 0.11181579025819542 + }, + { + "objects": [ + "sofa_1", + "south_wall" + ], + "volume": 2.676584326272882e-17 + }, + { + "objects": [ + "coffee_table_1", + "rug_1" + ], + "volume": 0.0340651875079161 + }, + { + "objects": [ + "bookshelf_1", + "floor_lamp_2" + ], + "volume": 0.07722235704052843 + }, + { + "objects": [ + "rug_1", + "middle of the room" + ], + "volume": 0.5265395334426999 + } + ], + "num_objects": 14 + }, + "scene_data": [ + { + "new_object_id": "sofa_1", + "style": "modern", + "material": "fabric", + "description": "A modern fabric sofa, perfect for a comfortable conversation area near the windows.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 1.0 + } + }, + "position": { + "x": 3.0616631209298815, + "y": 0.45, + "z": 0.4 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "modern", + "material": "wood", + "description": "A modern wooden coffee table, suitable for the center of the conversation area.", + "size_in_meters": { + "length": 1.0, + "width": 0.6, + "height": 0.45 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.519525956041661, + "y": 1.2, + "z": 0.225 + } + }, + { + "new_object_id": "side_table_1", + "style": "modern", + "material": "metal", + "description": "A modern metal side table, perfect for placing next to an armchair or sofa.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.8116631209298815, + "y": 0.2902183611440346, + "z": 0.3 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "classic", + "material": "wood", + "description": "A classic wooden bookshelf, providing storage and enhancing the open-plan look.", + "size_in_meters": { + "length": 1.0, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.0470368572792954, + "y": 3.85, + "z": 1.0 + } + }, + { + "new_object_id": "floor_lamp_1", + "style": "modern", + "material": "metal", + "description": "A modern metal floor lamp, ideal for adding ambient lighting to the conversation area.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "south_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.85, + "y": 0.15, + "z": 0.75 + } + }, + { + "new_object_id": "floor_lamp_2", + "style": "modern", + "material": "metal", + "description": "A modern metal floor lamp, ideal for adding ambient lighting to the conversation area.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "north_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + 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+ "length": 5.0, + "width": 4.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T12:14:16.845800" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_diagonal_wall_cut_01_005261_1766271053869374_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_diagonal_wall_cut_01_005261_1766271053869374_result.json new file mode 100644 index 0000000000000000000000000000000000000000..c1b732382b9102a0d384913e515158608693f0b5 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_diagonal_wall_cut_01_005261_1766271053869374_result.json @@ -0,0 +1,1402 @@ +{ + "sample_id": "Room_with_a_diagonal_wall_cut_01_005261_1766271053869374", + "room_type": "living_room", + "prompt": "Populate this floor plan with assets for a living room arranged in a simple rectangular layout, placing tall bookcases tightly along the perimeter walls, adding a central 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walls.", + "size_in_meters": { + "length": 0.8, + "width": 0.3, + "height": 2.5 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "sofa_1", + "style": "Contemporary", + "material": "Fabric", + "description": "Contemporary fabric sofa for central area facing each other.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.6, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 2.5 + } + } + }, + { + "new_object_id": "sofa_2", + "style": "Contemporary", + "material": "Fabric", + "description": "Contemporary fabric sofa for central area facing each other.", + "size_in_meters": { + "length": 2.0, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Minimalist", + "material": "Glass", + "description": "Large minimalist glass coffee table for central area.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "rectangular_rug_1", + "style": "Modern", + "material": "Wool", + "description": "Modern wool rectangular rug to define the central area.", + "size_in_meters": { + "length": 2.5, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_1", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden side table for lamps and decor.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "side_table_2", + "style": "Classic", + "material": "Wood", + "description": "Classic wooden side table for lamps and decor.", + "size_in_meters": { + "length": 0.5, + "width": 0.5, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_2", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "table_lamp_1", + "style": "Modern", + "material": "Metal", + "description": "Modern metal table lamp for side tables.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "side_table_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "table_lamp_2", + "style": "Modern", + "material": "Metal", + "description": "Modern metal table lamp for side tables.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "east_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "side_table_2", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "potted_plant_1", + "style": "Contemporary", + "material": "Ceramic", + "description": "Contemporary ceramic potted plants to add greenery.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "side_table_1", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "side_table_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "potted_plant_2", + "style": "Contemporary", + "material": "Ceramic", + "description": "Contemporary ceramic potted plants to add greenery.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.7 + }, + "is_on_the_floor": false, + "facing": "side_table_2", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "side_table_2", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "potted_plant_3", + "style": "Contemporary", + "material": "Ceramic", + "description": "Contemporary ceramic potted plants to add greenery.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.7 + }, + "is_on_the_floor": true, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "tall_bookcase_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "potted_plant_4", + "style": "Contemporary", + "material": "Ceramic", + "description": "Contemporary ceramic potted plants to add greenery.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 0.7 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "tall_bookcase_2", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.5, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 5.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.5, + "y": 4.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 5.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 5.0, + "y": 2.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.5, + "y": 2.0, + "z": 0 + }, + "size_in_meters": { + "length": 5.0, + "width": 4.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.5, + "y": 2.0, + "z": 2.8 + }, + "size_in_meters": { + "length": 5.0, + "width": 4.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T11:24:55.626459" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_diagonal_wall_cut_03_008593_1766412016467282_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_diagonal_wall_cut_03_008593_1766412016467282_result.json new file mode 100644 index 0000000000000000000000000000000000000000..0a2079ace6ddaf8ecb571b523a69c1d5402caa72 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_diagonal_wall_cut_03_008593_1766412016467282_result.json @@ -0,0 +1,477 @@ +{ + "sample_id": "Room_with_a_diagonal_wall_cut_03_008593_1766412016467282", + "room_type": "study_room", + "prompt": "Render a top-down blueprint of a rectangular study room with straight exterior walls, a single door on one short side, and three evenly spaced windows along the longer walls.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 5.169430997625815, + "total_collision_volume": 2.0448407536922164, + "per_object_out_of_bounds": { + "desk_1": 0.29999999999999993, + "bookshelf_1": 0.35, + "table_lamp_1": 0.07943099762581463, + "rug_1": 0.4900000000000001, + "wall_art_1": 0.4750000000000001, + "wall_art_2": 0.4750000000000001, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "desk_1", + "office_chair_1" + ], + "volume": 0.2926778582947413 + }, + { + "objects": [ + "desk_1", + "table_lamp_1" + ], + "volume": 0.20792175571718577 + }, + { + "objects": [ + "office_chair_1", + "bookshelf_1" + ], + "volume": 0.0466174570108289 + }, + { + "objects": [ + "office_chair_1", + "table_lamp_1" + ], + "volume": 0.2067312603178048 + }, + { + "objects": [ + "office_chair_1", + "south_wall" + ], + "volume": 0.002015091294275954 + }, + { + "objects": [ + "office_chair_1", + "west_wall" + ], + "volume": 0.0019396348228962004 + }, + { + "objects": [ + "office_chair_1", + "middle of the room" + ], + "volume": 0.040301825885519 + }, + { + "objects": [ + "bookshelf_1", + "west_wall" + ], + "volume": 0.4744433593649821 + }, + { + "objects": [ + "table_lamp_1", + "south_wall" + ], + "volume": 0.14158674383237224 + }, + { + "objects": [ + "rug_1", + "middle of the room" + ], + "volume": 0.4269241161949988 + }, + { + "objects": [ + "wall_art_2", + "east_wall" + ], + "volume": 0.20368165095661162 + } + ], + "num_objects": 13 + }, + "scene_data": [ + { + "new_object_id": "desk_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wooden desk suitable for a study room, featuring clean lines and a minimalist design.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.6 + } + }, + "position": { + "x": 0.7877315816982842, + "y": 0.3, + "z": 0.375 + } + }, + { + "new_object_id": "office_chair_1", + "style": "Contemporary", + "material": "Metal and Fabric", + "description": "Contemporary office chair with a metal frame and comfortable fabric upholstery, ideal for long study sessions.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.951509129427595, + "y": 0.8999999999999999, + "z": 0.5 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Minimalist", + "material": "Wood", + "description": "Tall minimalist wooden bookshelf for organizing books and decor items, fitting well against a wall.", + "size_in_meters": { + "length": 0.8, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.15, + "y": 1.4302810967940824, + "z": 1.0 + } + }, + { + "new_object_id": "table_lamp_1", + "style": "Modern", + "material": "Metal and Glass", + "description": "Modern table lamp with a metal base and glass shade, providing focused lighting for the desk area.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.1572579950920696, + "y": 0.4205690023741854, + "z": 1.0 + } + }, + { + "new_object_id": "rug_1", + "style": "Contemporary", + "material": "Wool", + "description": "Contemporary wool rug to enhance comfort and style in the study room, placed in the middle of the room.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.02 + }, + "is_on_the_floor": true, + "facing": "ceiling", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.5051211930264168, + "y": 1.9289175234551217, + "z": 0.01 + } + }, + { + "new_object_id": "wall_art_1", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to add color and interest to the study room walls.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.75 + }, + "is_on_the_floor": false, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.7949836274570616, + "y": 2.975, + "z": 2.219803032654352 + } + }, + { + "new_object_id": "wall_art_2", + "style": "Abstract", + "material": "Canvas", + "description": "Abstract canvas wall art to add color and interest to the study room walls.", + "size_in_meters": { + "length": 1.0, + "width": 0.05, + "height": 0.75 + }, + "is_on_the_floor": false, + "facing": "west_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "east_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 270.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.475, + "y": 2.0761527346492796, + "z": 0.8928762657428845 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 1.75, + "y": 3.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 3.5, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 1.75, + "y": 1.5, + "z": 0 + }, + "size_in_meters": { + "length": 3.5, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 1.75, + "y": 1.5, + "z": 2.8 + }, + "size_in_meters": { + "length": 3.5, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T08:21:07.748228" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_protruding_nook-alcove_02_002792_1766254945214700_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_protruding_nook-alcove_02_002792_1766254945214700_result.json new file mode 100644 index 0000000000000000000000000000000000000000..08093f5f1dcdc7344f04848d6b4c3db0281d3f5c --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Room_with_a_protruding_nook-alcove_02_002792_1766254945214700_result.json @@ -0,0 +1,508 @@ +{ + "sample_id": "Room_with_a_protruding_nook-alcove_02_002792_1766254945214700", + "room_type": "bedroom", + "prompt": "Keeping the interior space completely open, layout a rectangular bedroom with full-height glazing along one long side and a solid TV wall on the opposite side, placing a low platform bed with twin nightstands and area rug centered in the foreground, a TV console with large wall-mounted screen, lamp, and plant aligned against the back wall, a small coffee table on a second rug between bed and TV, and floor-to-ceiling curtains spanning the window wall so that all furniture sits within the single unobstructed volume.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 5.989673976344874, + "total_collision_volume": 1.3892663794737872, + "per_object_out_of_bounds": { + "platform_bed_1": 0.30000000000000004, + "nightstand_1": 0.19999999999999996, + "nightstand_2": 0.3740607352408176, + "area_rug_1": 0.495, + "tv_console_1": 0.4750000000000001, + "wall_mounted_tv_1": 0.44999999999999996, + "lamp_1": 0.3956132411040565, + "coffee_table_1": 0.30000000000000004, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "platform_bed_1", + "area_rug_1" + ], + "volume": 0.03287854442130283 + }, + { + "objects": [ + "platform_bed_1", + "middle of the room" + ], + "volume": 0.3834859430351205 + }, + { + "objects": [ + "nightstand_1", + "area_rug_1" + ], + "volume": 0.1808749948337447 + }, + { + "objects": [ + "nightstand_1", + "middle of the room" + ], + "volume": 0.12018683754971679 + }, + { + "objects": [ + "area_rug_1", + "coffee_table_1" + ], + "volume": 0.167374383606507 + }, + { + "objects": [ + "area_rug_1", + "middle of the room" + ], + "volume": 0.3257167806694468 + }, + { + "objects": [ + "wall_mounted_tv_1", + "south_wall" + ], + "volume": 0.17874889535794838 + } + ], + "num_objects": 14 + }, + "scene_data": [ + { + "new_object_id": "platform_bed_1", + "style": "Modern", + "material": "Wood", + "description": "A modern wood platform bed with a low-profile design, suitable for a minimalist bedroom setup.", + "size_in_meters": { + "length": 2.0, + "width": 1.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.5, + "y_neg": 0.0, + "y_pos": 1.0 + } + }, + "position": { + "x": 2.467575919051022, + "y": 1.6503301051663688, + "z": 0.2 + } + }, + { + "new_object_id": "nightstand_1", + "style": "Modern", + "material": "Wood", + "description": "Modern wood nightstands with sleek lines to complement a minimalist bedroom decor.", + "size_in_meters": { + "length": 0.5, + "width": 0.4, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "platform_bed_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.217575919051022, + "y": 1.5391290679719853, + "z": 0.3 + } + }, + { + "new_object_id": "nightstand_2", + "style": "Modern", + "material": "Wood", + "description": "Modern wood nightstands with sleek lines to complement a minimalist bedroom decor.", + "size_in_meters": { + "length": 0.5, + "width": 0.4, + "height": 0.6 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "platform_bed_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.717575919051022, + "y": 1.3727645086068567, + "z": 0.3 + } + }, + { + "new_object_id": "area_rug_1", + "style": "Contemporary", + "material": "Wool", + "description": "A contemporary wool area rug that adds warmth and texture to the bedroom floor.", + "size_in_meters": { + "length": 2.5, + "width": 2.0, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "platform_bed_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.5500006538450934, + "y": 2.154812437725387, + "z": 0.005 + } + }, + { + "new_object_id": "tv_console_1", + "style": "Modern", + "material": "Wood and Metal", + "description": "A modern TV console made of wood with metal accents, ideal for supporting a large wall-mounted screen.", + "size_in_meters": { + "length": 1.8, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.3, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.5710523720459846, + "y": 0.2, + "z": 0.25 + } + }, + { + "new_object_id": "wall_mounted_tv_1", + "style": "Modern", + "material": "Glass and Metal", + "description": "A large, modern wall-mounted TV screen with a sleek glass and metal finish.", + "size_in_meters": { + "length": 1.5, + "width": 0.1, + "height": 0.9 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "tv_console_1", + "preposition": "above", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.242188705837279, + "y": 0.05, + "z": 1.6230986523287614 + } + }, + { + "new_object_id": "lamp_1", + "style": "Modern", + "material": "Metal", + "description": "A modern metal floor lamp providing ambient lighting for the room.", + "size_in_meters": { + "length": 0.3, + "width": 0.3, + "height": 1.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "tv_console_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.6210523720459844, + "y": 0.18762545079371118, + "z": 0.75 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Modern", + "material": "Glass and Metal", + "description": "A modern glass and metal coffee table that fits perfectly between the bed and TV, adding functionality and style.", + "size_in_meters": { + "length": 1.0, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "platform_bed_1", + "preposition": "in front", + "is_adjacent": true + }, + { + "object_id": "area_rug_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.035964632452626, + "y": 2.750330105166369, + "z": 0.2 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.75, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.75, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T07:29:34.118832" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/T-shaped_03_003883_1766380250381254_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/T-shaped_03_003883_1766380250381254_result.json new file mode 100644 index 0000000000000000000000000000000000000000..f4266e3524e6de833f41ebcd8171a291e87a9ea4 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/T-shaped_03_003883_1766380250381254_result.json @@ -0,0 +1,396 @@ +{ + "sample_id": "T-shaped_03_003883_1766380250381254", + "room_type": "office", + "prompt": "Visualize a technical top-down section of a rectangular office with straight perimeter walls forming a simple box-like footprint, where the boundaries are orthogonal and enclose a single continuous interior space.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 3.475, + "total_collision_volume": 1.759182823575452, + "per_object_out_of_bounds": { + "desk_1": 0.125, + "bookshelf_1": 0.35, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "desk_1", + "monitor_1" + ], + "volume": 0.30851286422110374 + }, + { + "objects": [ + "desk_1", + "lamp_1" + ], + "volume": 0.25119202867311374 + }, + { + "objects": [ + "desk_1", + "middle of the room" + ], + "volume": 0.24305441024335916 + }, + { + "objects": [ + "office_chair_1", + "lamp_1" + ], + "volume": 0.09761238330932387 + }, + { + "objects": [ + "office_chair_1", + "west_wall" + ], + "volume": 0.015265495104615145 + }, + { + "objects": [ + "bookshelf_1", + "west_wall" + ], + "volume": 0.09312922511184953 + }, + { + "objects": [ + "monitor_1", + "lamp_1" + ], + "volume": 0.5699999999999996 + }, + { + "objects": [ + "monitor_1", + "south_wall" + ], + "volume": 0.09572242972668843 + }, + { + "objects": [ + "monitor_1", + "middle of the room" + ], + "volume": 0.015333257282942549 + }, + { + "objects": [ + "lamp_1", + "south_wall" + ], + "volume": 0.06936072990245605 + } + ], + "num_objects": 11 + }, + "scene_data": [ + { + "new_object_id": "desk_1", + "style": "modern", + "material": "wood", + "description": "A sleek modern desk made from high-quality wood, suitable for office use.", + "size_in_meters": { + "length": 1.5, + "width": 0.7, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "middle of the room", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.6, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.870723923523704, + "y": 0.9466249816768563, + "z": 0.375 + } + }, + { + "new_object_id": "office_chair_1", + "style": "modern", + "material": "metal and fabric", + "description": "A comfortable modern office chair with metal frame and fabric upholstery, perfect for long hours of work.", + "size_in_meters": { + "length": 0.6, + "width": 0.6, + "height": 1.2 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "right of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.820723923523704, + "y": 0.9257538262957675, + "z": 0.6 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "classic", + "material": "wood", + "description": "A classic wooden bookshelf to store office books and files.", + "size_in_meters": { + "length": 0.8, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.15, + "y": 2.3173936762512755, + "z": 1.0 + } + }, + { + "new_object_id": "monitor_1", + "style": "modern", + "material": "plastic and glass", + "description": "A high-resolution modern computer monitor made from plastic and glass.", + "size_in_meters": { + "length": 0.6, + "width": 0.2, + "height": 0.4 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.2, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.038588146039795, + "y": 0.8189737513591593, + "z": 0.95 + } + }, + { + "new_object_id": "lamp_1", + "style": "modern", + "material": "metal and glass", + "description": "A modern desk lamp with a metal base and glass shade, providing ample lighting for work.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "on", + "is_adjacent": true + }, + { + "object_id": "monitor_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.638588146039795, + "y": 0.8189737513591593, + "z": 1.0 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.5, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.5, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.0, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T08:48:38.171706" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/results_irregular_v2_parallel/Trapezoidal_02_001812_1766248302707243_result.json b/eval/IDesign/evaluation/results_irregular_v2_parallel/Trapezoidal_02_001812_1766248302707243_result.json new file mode 100644 index 0000000000000000000000000000000000000000..8ee4febd57e5d941bc6d924e2d564d84e65efbf4 --- /dev/null +++ b/eval/IDesign/evaluation/results_irregular_v2_parallel/Trapezoidal_02_001812_1766248302707243_result.json @@ -0,0 +1,435 @@ +{ + "sample_id": "Trapezoidal_02_001812_1766248302707243", + "room_type": "bedroom", + "prompt": "An architectural visualization of a single rectangular bedroom with straight, clean perimeter walls forming a simple box-like enclosure.", + "metrics": { + "method": "bbox", + "total_out_of_bounds_volume": 5.080331129171888, + "total_collision_volume": 1.4303009044553796, + "per_object_out_of_bounds": { + "bed_1": 0.25, + "desk_1": 0.29999999999999993, + "bookshelf_1": 0.35, + "nightstand_1": 0.4750000000000002, + "lamp_1": 0.21033112917188768, + "rug_1": 0.495, + "south_wall": 0.5, + "north_wall": 0.5, + "east_wall": 0.5, + "west_wall": 0.5, + "middle of the room": 0.5, + "ceiling": 0.5 + }, + "collision_pairs": [ + { + "objects": [ + "bed_1", + "rug_1" + ], + "volume": 0.3877750157122249 + }, + { + "objects": [ + "desk_1", + "nightstand_1" + ], + "volume": 0.1181250000000001 + }, + { + "objects": [ + "desk_1", + "lamp_1" + ], + "volume": 0.007569884565879256 + }, + { + "objects": [ + "bookshelf_1", + "west_wall" + ], + "volume": 0.22475488983504355 + }, + { + "objects": [ + "nightstand_1", + "lamp_1" + ], + "volume": 0.39246115998244324 + }, + { + "objects": [ + "nightstand_1", + "rug_1" + ], + "volume": 0.009421639495081034 + }, + { + "objects": [ + "lamp_1", + "rug_1" + ], + "volume": 0.016517569908703206 + }, + { + "objects": [ + "lamp_1", + "south_wall" + ], + "volume": 0.2041824150710875 + }, + { + "objects": [ + "rug_1", + "middle of the room" + ], + "volume": 0.06949332988491672 + } + ], + "num_objects": 12 + }, + "scene_data": [ + { + "new_object_id": "bed_1", + "style": "Modern", + "material": "Wood", + "description": "A sleek, modern wooden bed with clean lines and a minimalist design.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "in the corner" + }, + { + "layout_element_id": "east_wall", + "preposition": "in the corner" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 3.0, + "y": 0.75, + "z": 0.25 + } + }, + { + "new_object_id": "desk_1", + "style": "Modern", + "material": "Metal and Wood", + "description": "A streamlined modern desk with a metal frame and wooden top, suitable for a compact bedroom.", + "size_in_meters": { + "length": 1.2, + "width": 0.6, + "height": 0.75 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.5, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.8335148419915747, + "y": 0.3, + "z": 0.375 + } + }, + { + "new_object_id": "bookshelf_1", + "style": "Modern", + "material": "Wood", + "description": "A tall, narrow wooden bookshelf with a modern design for optimal storage in a small space.", + "size_in_meters": { + "length": 0.6, + "width": 0.3, + "height": 2.0 + }, + "is_on_the_floor": true, + "facing": "east_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "west_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 90.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 0.15, + "y": 2.309304137578346, + "z": 1.0 + } + }, + { + "new_object_id": "nightstand_1", + "style": "Modern", + "material": "Wood", + "description": "A small modern wooden nightstand with clean lines and minimal design, ideal for bedside use.", + "size_in_meters": { + "length": 0.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [ + { + "object_id": "desk_1", + "preposition": "left of", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.6835148419915746, + "y": 0.2, + "z": 0.25 + } + }, + { + "new_object_id": "lamp_1", + "style": "Modern", + "material": "Metal", + "description": "A sleek, modern metal lamp with minimalist design, perfect for bedside or desk illumination.", + "size_in_meters": { + "length": 0.2, + "width": 0.2, + "height": 0.5 + }, + "is_on_the_floor": false, + "facing": "north_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "nightstand_1", + "preposition": "on", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 1.8212765917420017, + "y": 0.28966887082811227, + "z": 0.75 + } + }, + { + "new_object_id": "rug_1", + "style": "Modern", + "material": "Fabric", + "description": "A modern fabric rug with simple geometric patterns to add warmth to the room.", + "size_in_meters": { + "length": 2.0, + "width": 1.5, + "height": 0.01 + }, + "is_on_the_floor": true, + "facing": "ceiling", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "bed_1", + "preposition": "under", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.6352443849336384, + "y": 0.941477635197472, + "z": 0.005 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 2.0, + "y": 3.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 4.0, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 4.0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 1.75, + "z": 1.4 + }, + "size_in_meters": { + "length": 3.5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 2.0, + "y": 1.75, + "z": 0 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 2.0, + "y": 1.75, + "z": 2.8 + }, + "size_in_meters": { + "length": 4.0, + "width": 3.5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } + ], + "timestamp": "2026-01-20T07:35:02.502899" +} \ No newline at end of file diff --git a/eval/IDesign/evaluation/test_bench_case2/scene_graph.json b/eval/IDesign/evaluation/test_bench_case2/scene_graph.json new file mode 100644 index 0000000000000000000000000000000000000000..1f1be970f8fe00860731bc3cbba7ba538f753ef5 --- /dev/null +++ b/eval/IDesign/evaluation/test_bench_case2/scene_graph.json @@ -0,0 +1,297 @@ +[ + { + "new_object_id": "sofa_1", + "style": "Modern", + "material": "Fabric", + "description": "Modern fabric sofa designed for comfort with a minimalist aesthetic.", + "size_in_meters": { + "length": 2.2, + "width": 0.9, + "height": 0.8 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "north_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 2.6 + } + }, + "position": { + "x": 4.258686488932631, + "y": 4.55, + "z": 0.4 + } + }, + { + "new_object_id": "tv_console_1", + "style": "Contemporary", + "material": "Wood", + "description": "Contemporary wooden TV console with sleek lines and ample storage space.", + "size_in_meters": { + "length": 1.5, + "width": 0.4, + "height": 0.5 + }, + "is_on_the_floor": true, + "facing": "north_wall", + "placement": { + "room_layout_elements": [ + { + "layout_element_id": "south_wall", + "preposition": "on" + } + ], + "objects_in_room": [] + }, + "rotation": { + "z_angle": 0.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.694517300805689, + "y": 0.2, + "z": 0.25 + } + }, + { + "new_object_id": "coffee_table_1", + "style": "Modern", + "material": "Glass and Metal", + "description": "Modern coffee table with a glass top and metal frame, perfect for a stylish living room.", + "size_in_meters": { + "length": 1.0, + "width": 0.6, + "height": 0.4 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "sofa_1", + "preposition": "in front", + "is_adjacent": true + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.8, + "x_pos": 0.8, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.003511764093043, + "y": 3.8, + "z": 0.2 + } + }, + { + "new_object_id": "armchair_1", + "style": "Classic", + "material": "Leather", + "description": "Classic leather armchair offering comfort and elegance, ideal for additional seating.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "left of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 4.9265010770413085, + "y": 3.1212761694330813, + "z": 0.5 + } + }, + { + "new_object_id": "armchair_2", + "style": "Classic", + "material": "Leather", + "description": "Classic leather armchair offering comfort and elegance, ideal for additional seating.", + "size_in_meters": { + "length": 0.8, + "width": 0.8, + "height": 1.0 + }, + "is_on_the_floor": true, + "facing": "south_wall", + "placement": { + "room_layout_elements": [], + "objects_in_room": [ + { + "object_id": "coffee_table_1", + "preposition": "right of", + "is_adjacent": false + } + ] + }, + "rotation": { + "z_angle": 180.0 + }, + "cluster": { + "constraint_area": { + "x_neg": 0.0, + "x_pos": 0.0, + "y_neg": 0.0, + "y_pos": 0.0 + } + }, + "position": { + "x": 2.6037879925917315, + "y": 3.5176397336047556, + "z": 0.5 + } + }, + { + "new_object_id": "south_wall", + "itemType": "wall", + "position": { + "x": 3.0, + "y": 0, + "z": 1.4 + }, + "size_in_meters": { + "length": 6, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "north_wall", + "itemType": "wall", + "position": { + "x": 3.0, + "y": 5, + "z": 1.4 + }, + "size_in_meters": { + "length": 6, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 180.0 + } + }, + { + "new_object_id": "east_wall", + "itemType": "wall", + "position": { + "x": 6, + "y": 2.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 270.0 + } + }, + { + "new_object_id": "west_wall", + "itemType": "wall", + "position": { + "x": 0, + "y": 2.5, + "z": 1.4 + }, + "size_in_meters": { + "length": 5, + "width": 0.0, + "height": 2.8 + }, + "rotation": { + "z_angle": 90.0 + } + }, + { + "new_object_id": "middle of the room", + "itemType": "floor", + "position": { + "x": 3.0, + "y": 2.5, + "z": 0 + }, + "size_in_meters": { + "length": 6, + "width": 5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + }, + { + "new_object_id": "ceiling", + "itemType": "ceiling", + "position": { + "x": 3.0, + "y": 2.5, + "z": 2.8 + }, + "size_in_meters": { + "length": 6, + "width": 5, + "height": 0.0 + }, + "rotation": { + "z_angle": 0.0 + } + } +] \ No newline at end of file diff --git a/eval/respace/.pytest_cache/.gitignore b/eval/respace/.pytest_cache/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..bc1a1f6167d09c909aad37280b760bb715d0f1da --- /dev/null +++ b/eval/respace/.pytest_cache/.gitignore @@ -0,0 +1,2 @@ +# Created by pytest automatically. +* diff --git a/eval/respace/.pytest_cache/CACHEDIR.TAG b/eval/respace/.pytest_cache/CACHEDIR.TAG new file mode 100644 index 0000000000000000000000000000000000000000..fce15ad7eaa74e5682b644c84efb75334c112f95 --- /dev/null +++ b/eval/respace/.pytest_cache/CACHEDIR.TAG @@ -0,0 +1,4 @@ +Signature: 8a477f597d28d172789f06886806bc55 +# This file is a cache directory tag created by pytest. +# For information about cache directory tags, see: +# https://bford.info/cachedir/spec.html diff --git a/eval/respace/.pytest_cache/README.md b/eval/respace/.pytest_cache/README.md new file mode 100644 index 0000000000000000000000000000000000000000..b89018ced91c0a8af7f3f23ce8901870da89f3a0 --- /dev/null +++ b/eval/respace/.pytest_cache/README.md @@ -0,0 +1,8 @@ +# pytest cache directory # + +This directory contains data from the pytest's cache plugin, +which provides the `--lf` and `--ff` options, as well as the `cache` fixture. + +**Do not** commit this to version control. + +See [the docs](https://docs.pytest.org/en/stable/how-to/cache.html) for more information. diff --git a/eval/respace/amlt/llm3d_group_1e6_fast.yaml b/eval/respace/amlt/llm3d_group_1e6_fast.yaml new file mode 100644 index 0000000000000000000000000000000000000000..edec8d7708d5ce9af9d9ef1b506136680aab4a35 --- /dev/null +++ b/eval/respace/amlt/llm3d_group_1e6_fast.yaml @@ -0,0 +1,46 @@ +description: llm3d_rl_1e6_fast + +env_defaults: + NODES: 1 + GPUS: 4 + MEM: 80 + WANDB_API_KEY: "2d021dca16c829b08573cf49bf758a54c8a45602" + +target: + service: sing + # name: msrresrchbasicvc + # name: quickdevvc + name: msrresrchvc + workspace_name: msramldlwsscus + +environment: + image: amlt-sing/pytorch + # setup: + # # 使用预构建的环境包，大大减少设置时间 + # - bash setup_fast.sh + +storage: + hai1: + storage_account_name: msramldl + container_name: backup + mount_dir: /backup + +code: + local_dir: ./respace + +jobs: +- name: llm_3d_group_grpo + sku: ${NODES}x${MEM}G${GPUS}-H100 + process_count_per_node: 1 + priority: High + # sla_tier: Premium + command: + - bash setup_fast.sh + - conda init && eval "$$(conda shell.bash hook)" && conda activate /scratch/amlt_code/verl_package + - export NNODES=${NODES} + - export N_GPUS=${GPUS} + - cd /scratch/amlt_code/verl && bash recipe/group_layout/run_group_layout_grpo.sh + submit_args: + env: + AMLT_DOCKERFILE_TEMPLATE: "none" + _AZUREML_SINGULARITY_JOB_UAI: /subscriptions/e033d461-1923-44a7-872b-78f1d35a86dd/resourceGroups/ml-dl/providers/Microsoft.ManagedIdentity/userAssignedIdentities/mldlcompute-identity diff --git a/eval/respace/amlt/llm3d_group_1e6_fast_debug.yaml b/eval/respace/amlt/llm3d_group_1e6_fast_debug.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1eb9b7a81119900faa1be8570263f14d5773a0aa --- /dev/null +++ b/eval/respace/amlt/llm3d_group_1e6_fast_debug.yaml @@ -0,0 +1,45 @@ +description: llm3d_rl_1e6_fast + +env_defaults: + NODES: 1 + GPUS: 2 + MEM: 80 + WANDB_API_KEY: "2d021dca16c829b08573cf49bf758a54c8a45602" + +target: + service: sing + name: msrresrchbasicvc + # name: quickdevvc + # name: msrresrchvc + workspace_name: msramldlwsscus + +environment: + image: amlt-sing/pytorch + setup: + # 使用预构建的环境包，大大减少设置时间 + - bash setup_fast.sh + +storage: + hai1: + storage_account_name: msramldl + container_name: backup + mount_dir: /backup + +code: + local_dir: ./respace + +jobs: +- name: llm_3d_group_grpo + sku: ${NODES}x${MEM}G${GPUS}-A100 + process_count_per_node: 1 + priority: High + sla_tier: Standard + command: + - conda init && eval "$$(conda shell.bash hook)" && conda activate /scratch/amlt_code/verl_package + - export NNODES=${NODES} + - export N_GPUS=${GPUS} + - cd /scratch/amlt_code/verl && bash recipe/group_layout/run_group_layout_grpo_debug.sh + submit_args: + env: + AMLT_DOCKERFILE_TEMPLATE: "none" + _AZUREML_SINGULARITY_JOB_UAI: /subscriptions/e033d461-1923-44a7-872b-78f1d35a86dd/resourceGroups/ml-dl/providers/Microsoft.ManagedIdentity/userAssignedIdentities/mldlcompute-identity diff --git a/eval/respace/amlt/llm3d_group_1e6_fast_modified.yaml b/eval/respace/amlt/llm3d_group_1e6_fast_modified.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e31198340299be04a3f008dd699826d29ae92236 --- /dev/null +++ b/eval/respace/amlt/llm3d_group_1e6_fast_modified.yaml @@ -0,0 +1,39 @@ +description: llm3d_rl_1e6_fast + +env_defaults: + NODES: 2 # 可根据需要修改 + GPUS: 8 # 每节点 GPU 数 + MEM: 80 + WANDB_API_KEY: "2d021dca16c829b08573cf49bf758a54c8a45602" + +target: + service: sing + name: msrresrchbasicvc + workspace_name: msramldlwsscus + +environment: + image: amlt-sing/pytorch + setup: + - bash setup_fast.sh + +storage: + hai1: + storage_account_name: msramldl + container_name: backup + mount_dir: /backup + +code: + local_dir: ./respace + +jobs: +- name: llm_3d_group_grpo + sku: ${NODES}x${MEM}G${GPUS}-A100 + process_count_per_node: 1 + priority: High + command: + - conda init && eval "$(conda shell.bash hook)" && conda activate /scratch/amlt_code/verl_package + - cd /scratch/amlt_code/verl && bash recipe/group_layout/run_group_layout_grpo.sh --nnodes ${NODES} --n_gpus ${GPUS} + submit_args: + env: + AMLT_DOCKERFILE_TEMPLATE: "none" + _AZUREML_SINGULARITY_JOB_UAI: /subscriptions/e033d461-1923-44a7-872b-78f1d35a86dd/resourceGroups/ml-dl/providers/Microsoft.ManagedIdentity/userAssignedIdentities/mldlcompute-identity diff --git a/eval/respace/amlt/llm3d_group_grpo_2x4.yaml b/eval/respace/amlt/llm3d_group_grpo_2x4.yaml new file mode 100644 index 0000000000000000000000000000000000000000..34390b2b25db9b2b2ad7f81b7d1d5574f9ec696d --- /dev/null +++ b/eval/respace/amlt/llm3d_group_grpo_2x4.yaml @@ -0,0 +1,50 @@ +description: llm3d_group_layout_grpo_2nodes_4gpus + +# 2节点×4卡 GRPO 多节点训练配置 +# 基于 VERL 官方文档的 Ray 集群方式 + +env_defaults: + NODES: 2 + GPUS: 4 + MEM: 80 + TOTAL_EPOCHS: 1 + WANDB_API_KEY: "2d021dca16c829b08573cf49bf758a54c8a45602" + +target: + service: sing + name: msrresrchbasicvc + workspace_name: msramldlwsscus + +environment: + image: amlt-sing/pytorch + setup: + - bash setup_fast.sh + +storage: + hai1: + storage_account_name: msramldl + container_name: backup + mount_dir: /backup + +code: + local_dir: ./respace + +jobs: +- name: llm3d_grpo_2x4 + sku: 2x80G4-A100 + process_count_per_node: 1 + priority: High + # sla_tier: Standard + command: + - conda init && eval "$$(conda shell.bash hook)" && conda activate /scratch/amlt_code/verl_package + - export NNODES=2 + - export N_GPUS=4 + - export TOTAL_EPOCHS=${TOTAL_EPOCHS} + - export WANDB_API_KEY=${WANDB_API_KEY} + - cd /scratch/amlt_code/verl + - export SHARED_DIR=/scratch/amlt_code/ray_cluster + - bash recipe/group_layout/run_group_layout_grpo_multinode.sh + submit_args: + env: + AMLT_DOCKERFILE_TEMPLATE: "none" + _AZUREML_SINGULARITY_JOB_UAI: /subscriptions/e033d461-1923-44a7-872b-78f1d35a86dd/resourceGroups/ml-dl/providers/Microsoft.ManagedIdentity/userAssignedIdentities/mldlcompute-identity diff --git a/eval/respace/amlt/llm3d_group_layout_grpo_multinode.yaml b/eval/respace/amlt/llm3d_group_layout_grpo_multinode.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f86df2ec398e0de2b669efd2b449a2e4d6267d01 --- /dev/null +++ b/eval/respace/amlt/llm3d_group_layout_grpo_multinode.yaml @@ -0,0 +1,57 @@ +description: llm3d_group_layout_grpo_multinode + +# 多节点 GRPO 训练 (Ray) 的 AMLT 提交示例。 +# 依赖脚本: verl/recipe/group_layout/run_group_layout_grpo_multinode.sh +# 与单节点版本参数完全一致，仅通过脚本内部自动区分 head/worker。 + +env_defaults: + NODES: 2 # 总节点数 (可覆盖) + GPUS: 4 # 每节点 GPU 数 (传给 trainer.n_gpus_per_node) + MEM: 40 # 每节点内存 (A100 80G) + TOTAL_EPOCHS: 1 # 训练总 epoch，可覆盖 + WANDB_API_KEY: "2d021dca16c829b08573cf49bf758a54c8a45602" + +# 目标集群 / 环境 +target: + service: sing + name: msrresrchbasicvc + # name: msrresrchvc + workspace_name: msramldlwsscus + +environment: + image: amlt-sing/pytorch + +storage: + hai1: + storage_account_name: msramldl + container_name: backup + mount_dir: /backup + +code: + local_dir: ./respace + +jobs: +- name: llm3d_group_layout_grpo_multinode + # sku 格式: xG-A100 + sku: ${NODES}x${MEM}G${GPUS}-A100 + process_count_per_node: 1 + priority: High + # sla_tier: Standard + command: + # 激活环境 + - bash setup_fast.sh + - conda init && eval "$$(conda shell.bash hook)" && conda activate /scratch/amlt_code/verl_package + # 传递基础环境变量 + - export NNODES=${NODES} + - export N_GPUS=${GPUS} + - export TOTAL_EPOCHS=${TOTAL_EPOCHS} + - export WANDB_API_KEY=${WANDB_API_KEY} + # 进入代码目录 + - cd /scratch/amlt_code/verl + # 运行多节点脚本 (非 Slurm，使用共享目录锁竞争)。 + - export SHARED_DIR=/scratch/amlt_code/ray_cluster + - bash recipe/group_layout/run_group_layout_grpo_multinode.sh + submit_args: + env: + AMLT_DOCKERFILE_TEMPLATE: "none" + _AZUREML_SINGULARITY_JOB_UAI: /subscriptions/e033d461-1923-44a7-872b-78f1d35a86dd/resourceGroups/ml-dl/providers/Microsoft.ManagedIdentity/userAssignedIdentities/mldlcompute-identity diff --git a/eval/respace/dataset-ssr3dfront_stage1_with_doors_windows/06a619f2-8939-4188-9eb3-ce01717de2b0-c936a4a0-fcec-4b54-8312-e13a3038a80e.json b/eval/respace/dataset-ssr3dfront_stage1_with_doors_windows/06a619f2-8939-4188-9eb3-ce01717de2b0-c936a4a0-fcec-4b54-8312-e13a3038a80e.json new file mode 100644 index 0000000000000000000000000000000000000000..da67f2549cf17913337735c3852484db2088c32a --- /dev/null +++ b/eval/respace/dataset-ssr3dfront_stage1_with_doors_windows/06a619f2-8939-4188-9eb3-ce01717de2b0-c936a4a0-fcec-4b54-8312-e13a3038a80e.json @@ -0,0 +1,358 @@ +{ + "orig_scene_uid": 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"rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "fc28b230-ca8c-4b9c-8190-79c0db522b3c-(0.8)-(1.0)-(0.63)" + }, + { + "desc": "Contemporary gray fabric lounge chair with quilted upholstery, curved backrest, padded seat, flared arms, and black metal swivel base.", + "size": [ + 0.7, + 0.82, + 0.83 + ], + "pos": [ + -2.64, + 0.0, + 0.59 + ], + "rot": [ + 0, + 0.53568, + 0, + 0.84442 + ], + "jid": "a7b8bb01-f966-42da-adcb-086e198fbe87-(1.03)-(1.0)-(1.0)" + }, + { + "desc": "A modern minimalist TV stand featuring a sleek rectangular design with a two-tone color scheme, central wood drawers, and metal legs.", + "size": [ + 1.89, + 0.72, + 0.41 + ], + "pos": [ + -1.39, + 0.0, + 1.72 + ], + "rot": [ + 0, + -1, + 0, + 0 + ], + "jid": "250acddd-7d4d-4f22-8fb6-603ac07c8c39-(0.83)-(1.0)-(0.81)" + }, + { + "desc": "Modern floor lamp with a unique tripod wooden base and a beige cylindrical fabric shade, offering minimalist geometric design.", + "size": [ + 0.46, + 1.52, + 0.52 + ], + "pos": [ + -2.94, + 0.0, + 1.09 + ], + "rot": [ + 0, + 0.35594, + 0, + 0.93451 + ], + "jid": "d2ad56bd-bd6b-4329-a62f-1ee78106556d" + }, + { + "desc": "A modern, minimalist silver metal pendant lamp with a geometric, branch-like structure and multiple light bulbs suspended from a chain.", + "size": [ + 1.12, + 1.01, + 1.06 + ], + "pos": [ + -0.35, + 2.0, + 0.41 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "e67ca81a-1ebd-4f05-a4d6-da0bb945ace1-(2.21)-(1.0)-(2.38)" + } + ], + "doors": [ + { + "type": "door", + "pos": [ + 0.2, + 1.01, + 2.04 + ], + "size": [ + 0.79, + 2.01, + 0.24 + ], + "uid": "3bdaf46e-6715-4540-ae28-3f5fbdbd2464/24921445" + }, + { + "type": "door", + "pos": [ + 0.2, + 0.0, + 2.04 + ], + "size": [ + 0.79, + 0.0, + 0.24 + ], + "uid": "3bdaf46e-6715-4540-ae28-3f5fbdbd2464/24921448" + }, + { + "type": "door", + "pos": [ + 1.31, + 1.01, + -1.94 + ], + "size": [ + 0.79, + 2.01, + 0.12 + ], + "uid": "8a057d59-43c4-45c2-b014-2f52848838d9/24921587" + }, + { + "type": "door", + "pos": [ + 1.31, + 0.0, + -1.94 + ], + "size": [ + 0.79, + 0.0, + 0.12 + ], + "uid": "8a057d59-43c4-45c2-b014-2f52848838d9/24921590" + }, + { + "type": "door", + "pos": [ + 1.83, + 1.01, + -1.44 + ], + "size": [ + 0.12, + 2.01, + 0.73 + ], + "uid": "d70d650c-9b44-406f-a161-4eafc8c5061a/24921729" + }, + { + "type": "door", + "pos": [ + 1.83, + 0.0, + -1.44 + ], + "size": [ + 0.12, + 0.0, + 0.73 + ], + "uid": "d70d650c-9b44-406f-a161-4eafc8c5061a/24921732" + }, + { + "type": "door", + "pos": [ + 0.78, + 1.05, + -1.45 + ], + "size": [ + 0.12, + 2.1, + 0.72 + ], + "uid": "df714bf9-6b46-4a07-b31d-9d706f3e5626/24921871" + }, + { + "type": "door", + "pos": [ + 0.78, + 0.0, + -1.45 + ], + "size": [ + 0.12, + 0.0, + 0.72 + ], + "uid": "df714bf9-6b46-4a07-b31d-9d706f3e5626/24921874" + }, + { + "type": "door", + "pos": [ + 3.51, + 1.05, + 1.35 + ], + "size": [ + 0.24, + 2.1, + 0.9 + ], + "uid": "82d1ead3-bd95-4951-9d57-dd9b1eaccb2f/24922013" + }, + { + "type": "door", + "pos": [ + 3.51, + 0.0, + 1.35 + ], + "size": [ + 0.24, + 0.0, + 0.9 + ], + "uid": "82d1ead3-bd95-4951-9d57-dd9b1eaccb2f/24922016" + } + ], + "windows": [ + { + "type": "window", + "pos": [ + -3.55, + 1.28, + 0.89 + ], + "size": [ + 0.24, + 2.17, + 1.98 + ], + "uid": "2471b8ca-e9db-4cf1-b900-c7467be65f05/24920524" + }, + { + "type": "window", + "pos": [ + -3.04, + 1.28, + -0.29 + ], + "size": [ + 0.67, + 2.17, + 0.24 + ], + "uid": "e9a692cc-f715-449a-b89b-7e8d777747ea/24920602" + }, + { + "type": "window", + "pos": [ + -3.02, + 1.28, + 2.04 + ], + "size": [ + 0.67, + 2.17, + 0.24 + ], + "uid": "0fb923af-3ab9-4d25-acd2-46d6602e9957/24920680" + } + ], + "floor_material": { + "jid": "24fa16dd-7d24-4c51-a4ed-209c30a94b96", + "material_type": "tiles", + "texture_path": "3D-FRONT-texture/24fa16dd-7d24-4c51-a4ed-209c30a94b96/texture.png" + } +} \ No newline at end of file diff --git a/eval/respace/dataset-ssr3dfront_stage2_v2_dedup_obj10plus/99d95fd4-d3ee-4a45-b84e-7df7c69b7687/LivingDiningRoom-66502.json b/eval/respace/dataset-ssr3dfront_stage2_v2_dedup_obj10plus/99d95fd4-d3ee-4a45-b84e-7df7c69b7687/LivingDiningRoom-66502.json new file mode 100644 index 0000000000000000000000000000000000000000..b66329419162bc0ee665e1708be99ab95492fe2b --- /dev/null +++ b/eval/respace/dataset-ssr3dfront_stage2_v2_dedup_obj10plus/99d95fd4-d3ee-4a45-b84e-7df7c69b7687/LivingDiningRoom-66502.json @@ -0,0 +1,417 @@ +{ + "bounds_top": [ + [ + -2.05, + 2.6, + 4.3 + ], + [ + 2.05, + 2.6, + 4.3 + ], + [ + 2.05, + 2.6, + -4.3 + ], + [ + -2.05, + 2.6, + -4.3 + ] + ], + "bounds_bottom": [ + [ + -2.05, + 0.0, + 4.3 + ], + [ + 2.05, + 0.0, + 4.3 + ], + [ + 2.05, + 0.0, + -4.3 + ], + [ + -2.05, + 0.0, + -4.3 + ] + ], + "room_type": "livingroom", + "room_id": "LivingDiningRoom-66502", + "objects": [ + { + "desc": "Modern gray three-seat sofa with cushioned backrest, loose throw pillows, and tapered black wood legs.", + "size": [ + 3.0, + 0.94, + 1.09 + ], + "pos": [ + -1.5, + 0.0, + -2.05 + ], + "rot": [ + 0, + 0.70711, + 0, + 0.70711 + ], + "jid": "52824459-a268-4a34-8416-6478f7c2aded-(1.2)-(1.0)-(1.12)" + }, + { + "desc": "Modern TV stand with black, grey, white, and blue accents, featuring wood and metal construction, minimalist design, open shelves, and closed cabinets.", + "size": [ + 1.9, + 0.48, + 0.34 + ], + "pos": [ + 1.86, + 0.0, + -2.48 + ], + "rot": [ + 0, + -0.70711, + 0, + 0.70711 + ], + "jid": "1a4af735-398a-483b-ad94-68baeb0517bd-(1.36)-(1.0)-(0.98)" + }, + { + "desc": "A vintage French-style armchair with gray velvet upholstery, beige wooden frame, ornate carvings, curved backrest, and scrolled arms.", + "size": [ + 0.79, + 0.92, + 0.85 + ], + "pos": [ + -0.12, + 0.0, + -3.52 + ], + "rot": [ + 0, + 0.09874, + 0, + 0.99511 + ], + "jid": "f19829e2-601b-4118-a179-4e65ccca8279-(0.99)-(1.0)-(1.08)" + }, + { + "desc": "A modern minimalist wooden dining table with natural finish, rectangular shape, and clean-lined design featuring tapered legs for an elegant yet understated aesthetic.", + "size": [ + 1.7, + 0.75, + 0.97 + ], + "pos": [ + -0.8, + 0.0, + 2.14 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "9ff76d8d-af20-493d-a17c-a4aaaa94114a-(1.06)-(1.0)-(1.21)" + }, + { + "desc": "A modern minimalist armchair featuring black textured fabric upholstery, curved armrests, and sleek tapered wooden legs.", + "size": [ + 0.6, + 0.85, + 0.54 + ], + "pos": [ + -1.16, + 0.0, + 1.39 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "833b6c6d-dc98-4512-ab0c-abc92a162132-(1.11)-(1.0)-(0.97)" + }, + { + "desc": "A modern minimalist armchair featuring black textured fabric upholstery, curved armrests, and sleek tapered wooden legs.", + "size": [ + 0.6, + 0.85, + 0.54 + ], + "pos": [ + -0.38, + 0.0, + 1.39 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "833b6c6d-dc98-4512-ab0c-abc92a162132-(1.11)-(1.0)-(0.97)" + }, + { + "desc": "A modern minimalist armchair featuring black textured fabric upholstery, curved armrests, and sleek tapered wooden legs.", + "size": [ + 0.6, + 0.85, + 0.54 + ], + "pos": [ + -1.15, + 0.0, + 2.9 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "833b6c6d-dc98-4512-ab0c-abc92a162132-(1.11)-(1.0)-(0.97)" + }, + { + "desc": "A modern minimalist armchair featuring black textured fabric upholstery, curved armrests, and sleek tapered wooden legs.", + "size": [ + 0.6, + 0.85, + 0.54 + ], + "pos": [ + -0.38, + 0.0, + 2.9 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "833b6c6d-dc98-4512-ab0c-abc92a162132-(1.11)-(1.0)-(0.97)" + }, + { + "desc": "A minimalist modern dark brown wooden round coffee table with three sturdy legs and a smooth low-height surface.", + "size": [ + 1.67, + 0.37, + 1.21 + ], + "pos": [ + 0.15, + 0.0, + -1.95 + ], + "rot": [ + 0, + 0.69931, + 0, + 0.71482 + ], + "jid": "3b5578c5-0a1f-4295-94e0-f694a89c55de-(1.52)-(1.0)-(1.1)" + }, + { + "desc": "A modern, minimalist floor lamp with a black cylindrical shade, thin gold metal stand, and round base.", + "size": [ + 0.61, + 1.83, + 0.6 + ], + "pos": [ + -1.37, + 0.0, + -3.8 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "70a2f341-4e27-49b4-9274-8155f7ca27a7-(1.03)-(1.0)-(0.96)" + }, + { + "desc": "Modern minimalist grey metal corner table with a round top and three splayed legs offering a sleek design.", + "size": [ + 0.73, + 0.68, + 0.51 + ], + "pos": [ + -1.68, + 0.0, + -0.3 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "a91293b9-db48-42c1-91ab-f84a674ad63f-(1.31)-(1.0)-(0.91)" + }, + { + "desc": "Modern light wood sideboard with metal handles, minimalist two-door design, and compact structure.", + "size": [ + 0.8, + 1.0, + 0.34 + ], + "pos": [ + 1.85, + 0.0, + 0.4 + ], + "rot": [ + 0, + -0.70711, + 0, + 0.70711 + ], + "jid": "8f4f873e-6974-4126-8c16-ab7d85204903-(0.98)-(0.97)-(0.82)" + }, + { + "desc": "A modern minimalist dark gray rectangular fabric footstool with a soft texture and clean lines.", + "size": [ + 0.56, + 0.25, + 0.58 + ], + "pos": [ + -0.27, + 0.0, + -0.2 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "2cd453f2-df6c-4eda-8015-a9e147374b4e-(0.62)-(1.0)-(1.54)" + }, + { + "desc": "A modern minimalist dark gray rectangular fabric footstool with a soft texture and clean lines.", + "size": [ + 0.56, + 0.25, + 0.58 + ], + "pos": [ + 0.48, + 0.0, + -0.18 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "2cd453f2-df6c-4eda-8015-a9e147374b4e-(0.62)-(1.0)-(1.54)" + }, + { + "desc": "Traditional white wooden wine cabinet with multiple open shelves and lower cabinet doors, featuring decorative handles and a classic design.", + "size": [ + 1.2, + 2.4, + 0.32 + ], + "pos": [ + -0.99, + 0.0, + 4.12 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "37ebcfd3-9804-439e-89f1-d62f2c4e1b1c-(1.19)-(1.09)-(0.97)" + }, + { + "desc": "Traditional white wooden wine cabinet with multiple open shelves and lower cabinet doors, featuring decorative handles and a classic design.", + "size": [ + 1.01, + 2.2, + 0.33 + ], + "pos": [ + 0.21, + 0.0, + 4.12 + ], + "rot": [ + 0, + 1, + 0, + 0 + ], + "jid": "37ebcfd3-9804-439e-89f1-d62f2c4e1b1c" + }, + { + "desc": "A modern black pendant lamp with spherical bulbs and a sleek, multi-armed design that combines futuristic and minimalist aesthetics.", + "size": [ + 0.74, + 1.19, + 0.74 + ], + "pos": [ + -0.02, + 1.7, + -1.87 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "27908d6a-1195-4538-98ac-1a072798e58e-(0.53)-(1.0)-(0.52)" + }, + { + "desc": "A modern black pendant lamp with spherical bulbs and a sleek, multi-armed design that combines futuristic and minimalist aesthetics.", + "size": [ + 0.67, + 1.19, + 0.75 + ], + "pos": [ + -0.73, + 1.8, + 2.16 + ], + "rot": [ + 0, + 0, + 0, + 1 + ], + "jid": "27908d6a-1195-4538-98ac-1a072798e58e-(0.48)-(1.0)-(0.53)" + } + ], + "doors": [], + "windows": [], + "floor_material": { + "jid": "1b7e5ceb-c4c9-4f8e-9622-d1aa81d12104", + "material_type": "antique tiles", + "texture_path": "3D-FRONT-texture/1b7e5ceb-c4c9-4f8e-9622-d1aa81d12104/texture.png" + } +} \ No newline at end of file diff --git a/eval/respace/diaglog_pipeline/dialog_generator.py b/eval/respace/diaglog_pipeline/dialog_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..6375e85ef57e1050d1ed220a7204b0c2a2f0e71a --- /dev/null +++ b/eval/respace/diaglog_pipeline/dialog_generator.py @@ -0,0 +1,165 @@ +""" +对话生成器 + +协调状态管理、策略选择和 LLM 调用，生成完整的对话数据 +""" + +import json +import os +import time +from typing import List, Dict, Any, Optional +from openai import AzureOpenAI +from azure.identity import ChainedTokenCredential, AzureCliCredential, ManagedIdentityCredential, get_bearer_token_provider + +from .scene_state import SceneStateManager, SceneLayout, LayoutDiff +from .dialog_strategies import StrategyFactory +from .dialog_prompts import PromptManager + +def get_azure_client_and_deployment(): + """获取Azure客户端和部署名""" + scope = "api://trapi/.default" + credential = get_bearer_token_provider(ChainedTokenCredential( + AzureCliCredential(), + ManagedIdentityCredential(), + ), scope) + + client = AzureOpenAI( + azure_endpoint="https://trapi.research.microsoft.com/gcr/shared", + azure_ad_token_provider=credential, + api_version='2025-04-01-preview', + ) + return client, 'gpt-5.1_2025-11-13' + +class DialogGenerator: + """对话生成器""" + + def __init__(self, llm_client=None): + if llm_client: + self.llm_client = llm_client + self.deployment_name = "gpt-4" # Default if passed externally without deployment info + else: + try: + self.llm_client, self.deployment_name = get_azure_client_and_deployment() + print(f"Initialized Azure OpenAI Client with deployment: {self.deployment_name}") + except Exception as e: + print(f"Failed to initialize Azure OpenAI client: {e}") + self.llm_client = None + self.deployment_name = None + + def generate_dialog(self, scene: SceneLayout, category: str) -> Dict[str, Any]: + """ + 为单个场景生成对话 + + Args: + scene: 场景布局数据 + category: 对话类别 (A, B, C) + + Returns: + 对话数据字典 + """ + # 1. 初始化状态管理器 + state_manager = SceneStateManager(scene) + + # 2. 获取策略 + strategy = StrategyFactory.get_strategy(category, state_manager) + context = strategy.prepare_context() + + start_layout = context['start_layout'] + target_layout = context['target_layout'] + error_desc = context.get('error_desc', "") + + # 3. 计算差异 (用于 User Simulator) + diff = SceneStateManager.compute_diff(start_layout, target_layout) + + # 4. 生成 User Prompt + # 简化描述生成 (实际应用中可能需要更复杂的场景描述生成器) + current_desc = self._describe_layout(start_layout) + target_desc = self._describe_layout(target_layout) + + user_prompt = PromptManager.get_user_sim_prompt( + room_type=scene.scene_type, + current_desc=current_desc, + target_desc=target_desc, + diff_desc=diff.description, + category=category, + error_desc=error_desc + ) + + # 5. 模拟 User 输入 (LLM Call) + user_input = self._call_llm(user_prompt, role="user_simulator") + + # 6. 生成 Designer Prompt + designer_prompt = PromptManager.get_designer_prompt( + user_input=user_input, + current_layout_desc=current_desc + ) + + # 7. 模拟 Designer 回复 (LLM Call) + designer_response = self._call_llm(designer_prompt, role="designer_agent") + + # 8. 构造结果 + return { + "scene_id": scene.scene_id, + "category": category, + "initial_state": start_layout.to_dict(), + "target_state": target_layout.to_dict(), + "dialogue": [ + { + "role": "user", + "content": user_input + }, + { + "role": "assistant", + "content": designer_response, + "updated_layout": target_layout.to_dict() # 假设 Designer 完美完成了任务 + } + ], + "prompts": { + "user_prompt": user_prompt, + "designer_prompt": designer_prompt + } + } + + def _describe_layout(self, layout: SceneLayout) -> str: + """生成布局的简单文本描述""" + if not layout.assets: + return "An empty room." + + descriptions = [a.description for a in layout.assets] + # 简单的计数描述 + counts = {} + for d in descriptions: + base_name = d.split(' ')[-1] # 简化: "wooden chair" -> "chair" + counts[base_name] = counts.get(base_name, 0) + 1 + + desc_parts = [] + for name, count in counts.items(): + desc_parts.append(f"{count} {name}(s)") + + return ", ".join(desc_parts) + + def _call_llm(self, prompt: str, role: str) -> str: + """调用 LLM 生成文本""" + if self.llm_client: + try: + messages = [ + {"role": "user", "content": prompt} + ] + + response = self.llm_client.chat.completions.create( + model=self.deployment_name, + messages=messages, + temperature=0.7, + max_completion_tokens=1000 + ) + return response.choices[0].message.content + except Exception as e: + print(f"LLM Call Error: {e}") + # Fallback or re-raise? For now return error string to keep pipeline running + return f"[Error calling LLM: {e}]" + else: + # Mock responses for testing without API key + if role == "user_simulator": + return "Can you please add the furniture to this room?" + else: + return "Sure, I have added the furniture as requested." diff --git a/eval/respace/diaglog_pipeline/dialog_prompts.py b/eval/respace/diaglog_pipeline/dialog_prompts.py new file mode 100644 index 0000000000000000000000000000000000000000..d012884d4763d9e1b8c89339d8949413f859c050 --- /dev/null +++ b/eval/respace/diaglog_pipeline/dialog_prompts.py @@ -0,0 +1,95 @@ +""" +对话提示词管理 + +包含用于 GPT-4 的 Prompt Templates，用于生成对话和模拟用户。 +""" + +class PromptTemplates: + + # --- System Prompts --- + + DESIGNER_SYSTEM_PROMPT = """You are an expert interior designer AI. +Your goal is to help users design 3D indoor scenes. +You can add, remove, move, rotate, and replace furniture objects. +You should provide helpful, professional, and concise responses. +When you perform an action, you must output the updated scene layout in JSON format (or a diff). +""" + + USER_SIMULATOR_SYSTEM_PROMPT = """You are a user trying to design a room. +You have a specific target layout in mind (which is provided to you). +You see the current state of the room. +Your goal is to give natural language instructions to the designer to make the current room look like the target room. +Be natural, casual, but clear. Do not mention coordinates or IDs directly unless necessary. +""" + + # --- Task Specific Prompts --- + + # Category A: Empty -> Core + CAT_A_USER_GOAL = """The room is currently empty. +You want to place the essential furniture for a {room_type}. +The target core furniture includes: {core_assets_desc}. +Ask the designer to set up the basic layout. +""" + + # Category B: Refinement (Partial -> Final) + CAT_B_USER_GOAL = """The room has some furniture, but it's missing some items or they are not arranged perfectly. +Compare the Current Layout with the Target Layout. +Identify the missing items or items that need to be moved. +Formulate a request to add the missing items: {missing_items} +Or move items: {moved_items} +""" + + # Category C: Correction (Bad -> Final) + CAT_C_USER_GOAL = """The designer has made a mistake. +{error_description} +You need to point out this error and ask the designer to fix it. +For example, if an object is rotated wrong, ask to rotate it back. +If objects are overlapping, ask to separate them. +""" + + # --- Few-Shot Examples --- + + FEW_SHOT_ADD = """ +User: "Can you add a reading lamp next to the armchair?" +Designer: "Sure, I've added a floor lamp beside the armchair for better lighting." +""" + + FEW_SHOT_MOVE = """ +User: "The coffee table is too far from the sofa, pull it closer." +Designer: "I've moved the coffee table closer to the sofa." +""" + + FEW_SHOT_CORRECT = """ +User: "The bed is facing the wall, please rotate it 180 degrees." +Designer: "My apologies, I've rotated the bed to face the correct direction." +""" + +class PromptManager: + """管理和格式化 Prompt""" + + @staticmethod + def get_user_sim_prompt(room_type: str, current_desc: str, target_desc: str, diff_desc: str, category: str, error_desc: str = "") -> str: + """构建用户模拟器的 Prompt""" + base = PromptTemplates.USER_SIMULATOR_SYSTEM_PROMPT + + context = f"\nRoom Type: {room_type}\n" + context += f"Current State: {current_desc}\n" + context += f"Target Goal: {target_desc}\n" + context += f"Differences: {diff_desc}\n" + + task = "" + if category == 'A': + task = PromptTemplates.CAT_A_USER_GOAL.format(room_type=room_type, core_assets_desc=target_desc) + elif category == 'B': + task = PromptTemplates.CAT_B_USER_GOAL.format(missing_items=diff_desc, moved_items="") # Simplified + elif category == 'C': + task = PromptTemplates.CAT_C_USER_GOAL.format(error_description=error_desc) + + return base + context + "\nTask:\n" + task + + @staticmethod + def get_designer_prompt(user_input: str, current_layout_desc: str) -> str: + """构建设计师 Agent 的 Prompt""" + base = PromptTemplates.DESIGNER_SYSTEM_PROMPT + context = f"\nCurrent Layout: {current_layout_desc}\nUser Request: {user_input}\n" + return base + context diff --git a/eval/respace/diaglog_pipeline/dialog_strategies.py b/eval/respace/diaglog_pipeline/dialog_strategies.py new file mode 100644 index 0000000000000000000000000000000000000000..24de925cb7300bb12da098f755add9e3aed6cb84 --- /dev/null +++ b/eval/respace/diaglog_pipeline/dialog_strategies.py @@ -0,0 +1,85 @@ +""" +对话策略定义 + +定义不同类型的对话生成策略 (Category A, B, C) +""" + +from abc import ABC, abstractmethod +from typing import Dict, Any, Optional +from .scene_state import SceneStateManager, SceneLayout, SceneState + +class DialogStrategy(ABC): + """对话策略基类""" + + def __init__(self, state_manager: SceneStateManager): + self.state_manager = state_manager + + @abstractmethod + def prepare_context(self) -> Dict[str, Any]: + """准备对话生成的上下文数据""" + pass + +class StrategyA(DialogStrategy): + """Category A: Empty -> Core (Placement)""" + + def prepare_context(self) -> Dict[str, Any]: + start_layout = self.state_manager.get_empty_state() + target_layout = self.state_manager.get_core_state() + + return { + "category": "A", + "description": "Initial placement of core furniture", + "start_layout": start_layout, + "target_layout": target_layout, + "error_desc": None + } + +class StrategyB(DialogStrategy): + """Category B: Partial -> Final (Refinement)""" + + def prepare_context(self) -> Dict[str, Any]: + # Start from a partial state (could be Core or Random Partial) + # For variety, let's use Partial (clustering based) + start_layout = self.state_manager.get_partial_state() + target_layout = self.state_manager.get_final_state() + + return { + "category": "B", + "description": "Refining the layout by adding/moving items", + "start_layout": start_layout, + "target_layout": target_layout, + "error_desc": None + } + +class StrategyC(DialogStrategy): + """Category C: Bad -> Final (Correction)""" + + def prepare_context(self) -> Dict[str, Any]: + # Generate a bad state with a specific error + # Randomly choose between rotation and collision + import random + error_type = random.choice(['rotation', 'collision']) + start_layout, error_desc = self.state_manager.get_bad_state(error_type) + target_layout = self.state_manager.get_final_state() + + return { + "category": "C", + "description": f"Correcting a {error_type} error", + "start_layout": start_layout, + "target_layout": target_layout, + "error_desc": error_desc + } + +class StrategyFactory: + """策略工厂""" + + @staticmethod + def get_strategy(category: str, state_manager: SceneStateManager) -> DialogStrategy: + if category == 'A': + return StrategyA(state_manager) + elif category == 'B': + return StrategyB(state_manager) + elif category == 'C': + return StrategyC(state_manager) + else: + raise ValueError(f"Unknown category: {category}") diff --git a/eval/respace/diaglog_pipeline/layout_grouping_parllel_augment.py b/eval/respace/diaglog_pipeline/layout_grouping_parllel_augment.py new file mode 100644 index 0000000000000000000000000000000000000000..e2e62483d4136e9bdf3f95fead67a113e2cec237 --- /dev/null +++ b/eval/respace/diaglog_pipeline/layout_grouping_parllel_augment.py @@ -0,0 +1,501 @@ +import json +import os +import multiprocessing as mp +from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, as_completed +import threading +import time +import queue +from typing import List, Tuple, Dict +from openai import AzureOpenAI +from azure.identity import ChainedTokenCredential, AzureCliCredential, ManagedIdentityCredential, get_bearer_token_provider +import base64 +import re +from pathlib import Path + +# 添加当前目录到路径以便导入 prompts +import sys +SCRIPT_DIR = Path(__file__).parent +sys.path.insert(0, str(SCRIPT_DIR)) +from diaglog_pipeline.prompts import grouping_prompt_template_v2 + +# 路径配置 +LAYOUT_INFO_BASE = "/home/v-meiszhang/backup/datas/InternScenes/Layout_info" +DATA_BASE_3DFRONT = "/home/v-meiszhang/amlt-project/respace/3d-front-converted" +OUTPUT_BASE = os.path.expanduser("~/backup/datas/unified-layout") +SCENE_TYPE_CACHE = Path(__file__).parent.parent / "post_process" / "scene_type_cache.json" + +def encode_image_to_base64(image_path): + """将图片文件编码为base64字符串""" + if not os.path.exists(image_path): + return None + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +def extract_json_from_response(content): + """从消息内容中提取JSON""" + try: + json_pattern = r'```json\s*\n?(.*?)\n?```' + match = re.search(json_pattern, content, re.DOTALL) + + if match: + json_str = match.group(1).strip() + else: + json_pattern_fallback = r'\{.*\}' + match = re.search(json_pattern_fallback, content, re.DOTALL) + if match: + json_str = match.group(0).strip() + else: + raise ValueError("No valid JSON found") + + try: + return json.loads(json_str) + except json.JSONDecodeError: + fixed_json_str = json_str.replace("'", '"') + try: + return json.loads(fixed_json_str) + except json.JSONDecodeError: + import ast + return ast.literal_eval(json_str) + + except Exception as e: + raise ValueError(f"JSON parsing error: {e}") + +def get_azure_client_and_deployment(): + """获取Azure客户端和部署名""" + scope = "api://trapi/.default" + credential = get_bearer_token_provider(ChainedTokenCredential( + AzureCliCredential(), + ManagedIdentityCredential(), + ), scope) + + client = AzureOpenAI( + azure_endpoint="https://trapi.research.microsoft.com/gcr/shared", + azure_ad_token_provider=credential, + api_version='2025-04-01-preview', + ) + return client, 'gpt-5.1_2025-11-13' + +def process_single_layout(args): + """处理单个layout文件""" + scene_key, scene_info, worker_id = args + + try: + print(f"Worker {worker_id}: Processing {scene_key}") + + # 判断是否为 3D-FRONT 数据 + if scene_key.startswith("3d-front/"): + # 3D-FRONT 路径逻辑 + # scene_key 格式: 3d-front/{sequence_id}/{room_id} + parts = scene_key.split('/') + if len(parts) != 3: + return scene_key, False, f"Invalid 3d-front key: {scene_key}" + + sequence_id = parts[1] + room_id = parts[2] + + sequence_path = os.path.join(DATA_BASE_3DFRONT, sequence_id) + layout_file = os.path.join(sequence_path, f"{room_id}.json") + room_path = os.path.join(sequence_path, room_id) + diag_image = os.path.join(room_path, "render_diagonal.png") + top_image = os.path.join(room_path, "render_topdown.png") + + # 输出路径: ~/backup/datas/unified-layout/3d-front/{sequence_id}/{room_id}/layout.json + output_dir = os.path.join(OUTPUT_BASE, "3d-front", sequence_id, room_id) + output_file = os.path.join(output_dir, "layout.json") + + else: + # 其它数据集 (Scannet, 3RScan, ARKitScenes) 路径逻辑 + scene_path = os.path.join(LAYOUT_INFO_BASE, scene_key) + layout_file = os.path.join(scene_path, "unified_layout.json") + diag_image = os.path.join(scene_path, "render_diagonal.png") + top_image = os.path.join(scene_path, "render_topdown.png") + + # 构建输出路径: ~/backup/datas/unified-layout/{scene_key}/layout.json + output_dir = os.path.join(OUTPUT_BASE, scene_key) + output_file = os.path.join(output_dir, "layout.json") + + # 检查是否已处理 + if os.path.exists(output_file): + print(f"Worker {worker_id}: ⏭️ Already processed {scene_key}") + return scene_key, True, "already_exists" + + # 检查必要文件 + if not os.path.exists(layout_file): + return scene_key, False, f"Layout file not found: {layout_file}" + if not os.path.exists(diag_image): + return scene_key, False, f"Diagonal image not found: {diag_image}" + if not os.path.exists(top_image): + return scene_key, False, f"Topdown image not found: {top_image}" + + # 获取客户端（每次调用都创建新的，避免共享问题） + client, deployment = get_azure_client_and_deployment() + + # 读取JSON + with open(layout_file, 'r') as f: + layout_json = json.load(f) + layout_json_str = json.dumps(layout_json, indent=4) + + # if len(layout_json.get("assets")) >= 20: + # return scene_key, False, f"Too many assets ({len(layout_json.get('assets'))}), skipping." + + assets_nums = len(layout_json.get("assets", [])) + + # 编码图片 + diag_base64 = encode_image_to_base64(diag_image) + top_base64 = encode_image_to_base64(top_image) + + if not diag_base64 or not top_base64: + return scene_key, False, "Failed to encode images" + + # 准备提示词 + prompt_text = grouping_prompt_template_v2.replace("<>", layout_json_str) + + # API调用，增加重试机制 + max_retries = 10000 + for attempt in range(max_retries): + try: + response = client.chat.completions.create( + model=deployment, + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": prompt_text}, + { + "type": "image_url", + "image_url": { + "url": f"data:image/png;base64,{diag_base64}", + "detail": "high" + } + }, + { + "type": "image_url", + "image_url": { + "url": f"data:image/png;base64,{top_base64}", + "detail": "high" + } + } + ] + } + ], + max_completion_tokens=32768 + # temperature=0.5, + ) + + # 处理响应 + grouped_layout_str = response.choices[0].message.content + grouped_layout_json = extract_json_from_response(grouped_layout_str) + + new_assets_nums = 0 + + if "functional_zones" in grouped_layout_json: + for fz in grouped_layout_json["functional_zones"]: + new_assets_nums += len(fz.get("assets", [])) + + elif "groups" in grouped_layout_json: + for group in grouped_layout_json["groups"]: + new_assets_nums += len(group.get("objects", [])) + + if new_assets_nums != assets_nums: + print(f"Worker {worker_id}: Asset count mismatch ({new_assets_nums} vs {assets_nums}), retrying...") + continue + + break # 成功则跳出重试循环 + + except Exception as e: + if attempt == max_retries - 1: + raise e + print(f"Worker {worker_id}: API call failed (attempt {attempt + 1}), retrying... {str(e)}") + + # 添加场景类型信息 + grouped_layout_json["scene_type"] = scene_info.get("scene_type", "other") + + # 创建输出目录并保存结果 + os.makedirs(output_dir, exist_ok=True) + with open(output_file, 'w') as f: + json.dump(grouped_layout_json, f, indent=4) + + print(f"Worker {worker_id}: ✅ Successfully processed {scene_key}, Asset count match ({new_assets_nums} vs {assets_nums})") + return scene_key, True, "" + + except Exception as e: + error_msg = f"Worker {worker_id}: ❌ Error processing {scene_key}: {str(e)}" + print(error_msg) + return scene_key, False, str(e) + +def get_pending_scenes_3dfront(exist_ok=True) -> List[Tuple[str, Dict]]: + """获取待处理的3D-FRONT 场景列表""" + pending = [] + already_done = 0 + missing_files = 0 + + if not os.path.exists(DATA_BASE_3DFRONT): + print(f"Error: Data directory not found: {DATA_BASE_3DFRONT}") + return [] + + print(f"Scanning 3D-FRONT data in {DATA_BASE_3DFRONT}...") + + for sequence_id in os.listdir(DATA_BASE_3DFRONT): + sequence_path = os.path.join(DATA_BASE_3DFRONT, sequence_id) + if not os.path.isdir(sequence_path): + continue + + # 一个 sequence 目录下可能有多个 room 子目录 + for entry in os.listdir(sequence_path): + room_dir = os.path.join(sequence_path, entry) + # 只关心形如 LivingDiningRoom-xxxx 这类 room 子目录 + if not os.path.isdir(room_dir): + continue + + room_id = entry # e.g., LivingDiningRoom-1171 + json_file = f"{room_id}.json" + layout_file = os.path.join(sequence_path, json_file) + + # 检查必要文件 + if not os.path.exists(layout_file): + missing_files += 1 + continue + + # 构造 scene_key + scene_key = f"3d-front/{sequence_id}/{room_id}" + + # 检查输出是否已存在 + output_file = os.path.join(OUTPUT_BASE, "3d-front", sequence_id, room_id, "layout.json") + if not exist_ok and os.path.exists(output_file): + already_done += 1 + continue + + # 读取JSON获取scene_type + try: + with open(layout_file, 'r') as f: + layout_data = json.load(f) + scene_type = layout_data.get("meta", {}).get("scene_type", "other") + except Exception: + scene_type = "other" + + scene_info = {"scene_type": scene_type} + pending.append((scene_key, scene_info)) + + print(f"3D-FRONT stats:") + print(f" Already processed: {already_done}") + print(f" Missing required files: {missing_files}") + print(f" Pending to process: {len(pending)}") + + return pending + +def get_pending_scenes(dataset="all", exist_ok=True) -> List[Tuple[str, Dict]]: + """获取待处理场景列表""" + all_pending = [] + + # 处理标准数据集 (Scannet, 3RScan, ARKitScenes) + if dataset in ["all", "scannet", "3rscan", "arkitscenes"]: + if SCENE_TYPE_CACHE.exists(): + with open(SCENE_TYPE_CACHE, 'r', encoding='utf-8') as f: + scene_cache = json.load(f) + + standard_pending = [] + already_done = 0 + missing_files = 0 + + for scene_key, scene_info in scene_cache.items(): + # 过滤数据集 + if dataset != "all" and not scene_key.startswith(dataset + "/"): + continue + + # 检查输出是否已存在 + output_file = os.path.join(OUTPUT_BASE, scene_key, "layout.json") + if not exist_ok: + if os.path.exists(output_file): + already_done += 1 + continue + + # 检查必要文件是否存在 + scene_path = os.path.join(LAYOUT_INFO_BASE, scene_key) + layout_file = os.path.join(scene_path, "unified_layout.json") + diag_image = os.path.join(scene_path, "render_diagonal.png") + top_image = os.path.join(scene_path, "render_topdown.png") + + if not (os.path.exists(layout_file) and os.path.exists(diag_image) and os.path.exists(top_image)): + missing_files += 1 + continue + + standard_pending.append((scene_key, scene_info)) + else: + standard_pending.append((scene_key, scene_info)) + + print(f"Standard datasets ({dataset}) stats:") + print(f" Total in cache: {len(scene_cache)}") + print(f" Already processed: {already_done}") + print(f" Missing required files: {missing_files}") + print(f" Pending to process: {len(standard_pending)}") + + all_pending.extend(standard_pending) + else: + print(f"Error: Scene type cache not found: {SCENE_TYPE_CACHE}") + + # 处理 3D-FRONT + if dataset in ["all", "3d-front"]: + front_pending = get_pending_scenes_3dfront(exist_ok=exist_ok) + all_pending.extend(front_pending) + + return all_pending + +def process_with_threading(dataset="all", num_threads=5): + """使用线程池进行并发处理（推荐用于IO密集型任务如API调用）""" + os.makedirs(OUTPUT_BASE, exist_ok=True) + + # 获取待处理场景 + pending_scenes = get_pending_scenes(dataset=dataset) + print(f"Found {len(pending_scenes)} scenes to process") + + if not pending_scenes: + print("No scenes to process!") + return + + # 准备参数 + task_args = [ + (scene_key, scene_info, i % num_threads + 1) + for i, (scene_key, scene_info) in enumerate(pending_scenes) + ] + + successful_count = 0 + failed_count = 0 + skipped_count = 0 + failed_scenes = [] + + print(f"Starting processing with {num_threads} threads...") + + with ThreadPoolExecutor(max_workers=num_threads) as executor: + # 提交所有任务 + future_to_scene = { + executor.submit(process_single_layout, args): args[0] + for args in task_args + } + + # 收集结果 + for future in as_completed(future_to_scene): + scene_key = future_to_scene[future] + try: + result_key, success, error_msg = future.result() + if success: + if error_msg == "already_exists": + skipped_count += 1 + else: + successful_count += 1 + else: + failed_count += 1 + failed_scenes.append((result_key, error_msg)) + + except Exception as exc: + failed_count += 1 + failed_scenes.append((scene_key, str(exc))) + print(f"Task for {scene_key} generated exception: {exc}") + + # 打印统计结果 + print("\n" + "="*60) + print("🎉 Processing completed!") + print(f"✅ Successfully processed: {successful_count} scenes") + print(f"⏭️ Skipped (already done): {skipped_count} scenes") + print(f"❌ Failed to process: {failed_count} scenes") + print(f"📊 Total scenes: {len(pending_scenes)}") + if successful_count + skipped_count > 0: + print(f"📈 Success rate: {(successful_count + skipped_count)/len(pending_scenes)*100:.1f}%") + + if failed_scenes: + print(f"\n❌ Failed scenes:") + for scene_key, error in failed_scenes[:10]: + print(f" - {scene_key}: {error[:50]}...") + if len(failed_scenes) > 10: + print(f" ... and {len(failed_scenes) - 10} more") + +def process_with_multiprocessing(dataset="all", num_processes=3): + """使用进程池进行并行处理（适用于CPU密集型任务）""" + os.makedirs(OUTPUT_BASE, exist_ok=True) + + # 获取待处理场景 + pending_scenes = get_pending_scenes(dataset=dataset) + print(f"Found {len(pending_scenes)} scenes to process") + + if not pending_scenes: + print("No scenes to process!") + return + + # 准备参数 + task_args = [ + (scene_key, scene_info, i % num_processes + 1) + for i, (scene_key, scene_info) in enumerate(pending_scenes) + ] + + successful_count = 0 + failed_count = 0 + skipped_count = 0 + failed_scenes = [] + + print(f"Starting processing with {num_processes} processes...") + + with ProcessPoolExecutor(max_workers=num_processes) as executor: + # 提交所有任务 + future_to_scene = { + executor.submit(process_single_layout, args): args[0] + for args in task_args + } + + # 收集结果（实时显示进度） + for future in as_completed(future_to_scene): + scene_key = future_to_scene[future] + try: + result_key, success, error_msg = future.result() + if success: + if error_msg == "already_exists": + skipped_count += 1 + else: + successful_count += 1 + else: + failed_count += 1 + failed_scenes.append((result_key, error_msg)) + + except Exception as exc: + failed_count += 1 + failed_scenes.append((scene_key, str(exc))) + print(f"Task for {scene_key} generated exception: {exc}") + + # 打印统计结果 + print("\n" + "="*60) + print("🎉 Processing completed!") + print(f"✅ Successfully processed: {successful_count} scenes") + print(f"⏭️ Skipped (already done): {skipped_count} scenes") + print(f"❌ Failed to process: {failed_count} scenes") + print(f"📊 Total scenes: {len(pending_scenes)}") + if successful_count + skipped_count > 0: + print(f"📈 Success rate: {(successful_count + skipped_count)/len(pending_scenes)*100:.1f}%") + + if failed_scenes: + print(f"\n❌ Failed scenes:") + for scene_key, error in failed_scenes[:10]: + print(f" - {scene_key}: {error[:50]}...") + if len(failed_scenes) > 10: + print(f" ... and {len(failed_scenes) - 10} more") + +def main(): + import argparse + + parser = argparse.ArgumentParser(description="Process layout files with parallel/concurrent approach") + parser.add_argument("--method", "-m", choices=['thread', 'process'], default='process', + help="Processing method: 'thread' for concurrent (recommended) or 'process' for parallel") + parser.add_argument("--workers", "-w", type=int, default=14, + help="Number of workers") + parser.add_argument("--dataset", "-d", type=str, default="all", + choices=["all", "scannet", "3rscan", "arkitscenes", "3d-front"], + help="Dataset to process (default: all)") + + args = parser.parse_args() + + if args.method == 'thread': + print(f"🚀 Using threading with {args.workers} threads (recommended for API-heavy tasks)") + process_with_threading(dataset=args.dataset, num_threads=args.workers) + else: + print(f"🔄 Using multiprocessing with {args.workers} processes") + process_with_multiprocessing(dataset=args.dataset, num_processes=args.workers) + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/eval/respace/diaglog_pipeline/layout_transformer.py b/eval/respace/diaglog_pipeline/layout_transformer.py new file mode 100644 index 0000000000000000000000000000000000000000..78ce2dc4d2e3026c2a416f35f5481980fb5db42c --- /dev/null +++ b/eval/respace/diaglog_pipeline/layout_transformer.py @@ -0,0 +1,169 @@ +""" +Layout 变换工具类 + +提供对场景布局的几何变换操作，包括： +1. 对象的增删改查 +2. 几何变换（旋转、平移） +3. 空间分析（碰撞检测、聚类） +""" + +import math +import copy +import numpy as np +from typing import List, Dict, Tuple, Optional +from dataclasses import dataclass + +@dataclass +class BBox: + min_pt: np.ndarray + max_pt: np.ndarray + + @property + def center(self) -> np.ndarray: + return (self.min_pt + self.max_pt) / 2 + + @property + def size(self) -> np.ndarray: + return self.max_pt - self.min_pt + +class LayoutTransformer: + + @staticmethod + def get_object_bbox(obj: dict) -> BBox: + """计算对象的轴对齐包围盒 (AABB)""" + pos = np.array(obj['pos']) + size = np.array(obj['size']) + rot = np.array(obj['rot']) + + # 简化处理：假设旋转主要绕Y轴 + # 如果需要精确OBB转AABB，需要考虑旋转矩阵 + # 这里为了简单和速度，对于接近0/90/180/270度的旋转做特殊处理 + + y_rot = rot[1] + # 归一化到 [0, 2pi] + y_rot = y_rot % (2 * math.pi) + + # 检查是否接近 90 或 270 度 + is_rotated_90 = abs(y_rot - math.pi/2) < 0.1 or abs(y_rot - 3*math.pi/2) < 0.1 + + if is_rotated_90: + # 交换 x, z 尺寸 + effective_size = np.array([size[2], size[1], size[0]]) + else: + effective_size = size + + half_size = effective_size / 2 + min_pt = pos - half_size + max_pt = pos + half_size + + return BBox(min_pt, max_pt) + + @staticmethod + def check_collision(obj1: dict, obj2: dict, margin: float = 0.0) -> bool: + """检查两个对象是否碰撞 (AABB)""" + bbox1 = LayoutTransformer.get_object_bbox(obj1) + bbox2 = LayoutTransformer.get_object_bbox(obj2) + + # 检查三个维度是否都重叠 + for i in range(3): + if bbox1.max_pt[i] < bbox2.min_pt[i] + margin or \ + bbox1.min_pt[i] > bbox2.max_pt[i] - margin: + return False + return True + + @staticmethod + def rotate_object(layout: dict, obj_id: int, angle_rad: float) -> dict: + """旋转指定对象（绕Y轴）""" + new_layout = copy.deepcopy(layout) + for obj in new_layout['assets']: + if obj['id'] == obj_id: + # 更新旋转 + curr_rot = obj['rot'] + obj['rot'] = [curr_rot[0], curr_rot[1] + angle_rad, curr_rot[2]] + break + return new_layout + + @staticmethod + def move_object(layout: dict, obj_id: int, offset: List[float]) -> dict: + """平移指定对象""" + new_layout = copy.deepcopy(layout) + for obj in new_layout['assets']: + if obj['id'] == obj_id: + curr_pos = obj['pos'] + obj['pos'] = [ + curr_pos[0] + offset[0], + curr_pos[1] + offset[1], + curr_pos[2] + offset[2] + ] + break + return new_layout + + @staticmethod + def remove_objects(layout: dict, obj_ids: List[int]) -> dict: + """移除指定对象""" + new_layout = copy.deepcopy(layout) + new_layout['assets'] = [ + obj for obj in new_layout['assets'] + if obj['id'] not in obj_ids + ] + return new_layout + + @staticmethod + def filter_objects(layout: dict, keep_ids: List[int]) -> dict: + """只保留指定对象""" + new_layout = copy.deepcopy(layout) + new_layout['assets'] = [ + obj for obj in new_layout['assets'] + if obj['id'] in keep_ids + ] + return new_layout + + @staticmethod + def cluster_objects(layout: dict, distance_threshold: float = 1.5) -> List[List[int]]: + """ + 基于距离对物体进行聚类 + 返回: List[List[obj_id]] + """ + assets = layout['assets'] + if not assets: + return [] + + n = len(assets) + adj = [[] for _ in range(n)] + + # 构建邻接图 + for i in range(n): + for j in range(i + 1, n): + pos1 = np.array(assets[i]['pos']) + pos2 = np.array(assets[j]['pos']) + dist = np.linalg.norm(pos1 - pos2) + + if dist < distance_threshold: + adj[i].append(j) + adj[j].append(i) + + # BFS 找连通分量 + visited = [False] * n + clusters = [] + + for i in range(n): + if not visited[i]: + cluster = [] + queue = [i] + visited[i] = True + while queue: + curr = queue.pop(0) + cluster.append(assets[curr]['id']) + for neighbor in adj[curr]: + if not visited[neighbor]: + visited[neighbor] = True + queue.append(neighbor) + clusters.append(cluster) + + return clusters + + @staticmethod + def find_nearest_wall_orientation(obj: dict, walls: List[List[float]]) -> float: + """找到最近墙壁的朝向（简化版）""" + # TODO: 实现基于 floor_polygon 的墙壁分析 + return 0.0 diff --git a/eval/respace/diaglog_pipeline/my_test.py b/eval/respace/diaglog_pipeline/my_test.py new file mode 100644 index 0000000000000000000000000000000000000000..2ee36c68889225416393a6dc0b72fbe8c5da8c35 --- /dev/null +++ b/eval/respace/diaglog_pipeline/my_test.py @@ -0,0 +1,10 @@ +from diaglog_pipeline.pipeline import MultiTurnDialogPipeline + +# Initialize +pipeline = MultiTurnDialogPipeline( + data_dir="3d-front-converted", + output_file="dialogue_dataset.json" +) + +# Run generation +pipeline.run(num_samples=100, categories=['A', 'B', 'C']) \ No newline at end of file diff --git a/eval/respace/diaglog_pipeline/pipeline.py b/eval/respace/diaglog_pipeline/pipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..5ab203b5bf91d47b3f4241dc21a34d4b62a3f5a1 --- /dev/null +++ b/eval/respace/diaglog_pipeline/pipeline.py @@ -0,0 +1,66 @@ +""" +Pipeline Entry Point +""" + +import json +import random +from typing import List, Dict, Any +from tqdm import tqdm +from .data_loader import SceneDataLoader +from .dialog_generator import DialogGenerator + +class MultiTurnDialogPipeline: + """ + 多轮对话数据生成流水线 + """ + + def __init__(self, data_dir: str, output_file: str, llm_client=None): + self.data_dir = data_dir + self.output_file = output_file + self.loader = SceneDataLoader(data_dir) + self.generator = DialogGenerator(llm_client) + + def run(self, num_samples: int = 10, categories: List[str] = None): + """ + 运行生成流程 + """ + if categories is None: + categories = ['A', 'B', 'C'] + + print(f"Loading data from {self.data_dir}...") + # Get all available scenes + all_scenes = self.loader.get_all_scenes() + + if not all_scenes: + print("No scenes found!") + return + + print(f"Generating {num_samples} samples from {len(all_scenes)} scenes...") + + results = [] + for i in tqdm(range(num_samples)): + # Pick a random scene + scene_info = random.choice(all_scenes) + scene = self.loader.load_scene(scene_info) + + if not scene: + continue + + # Pick a random category + category = random.choice(categories) + + try: + dialog_data = self.generator.generate_dialog(scene, category) + results.append(dialog_data) + except Exception as e: + print(f"Error generating {category} for {scene_info.scene_uuid}: {e}") + import traceback + traceback.print_exc() + continue + + # Save Results + print(f"Saving {len(results)} dialogs to {self.output_file}...") + with open(self.output_file, 'w', encoding='utf-8') as f: + json.dump(results, f, indent=2, ensure_ascii=False) + + print("Done!") diff --git a/eval/respace/diaglog_pipeline/pipeline_design.md b/eval/respace/diaglog_pipeline/pipeline_design.md new file mode 100644 index 0000000000000000000000000000000000000000..c94f023a4a5ba0944c0c6e174b921fd6d76a8165 --- /dev/null +++ b/eval/respace/diaglog_pipeline/pipeline_design.md @@ -0,0 +1,536 @@ +# 3D室内场景多轮对话数据生成 Pipeline 设计方案 + +## 1. 概述 + +本方案基于 3D-FRONT 数据集（已转换为 `3d-front-converted` 格式），构建一个自动化的多轮对话数据生成 Pipeline，用于训练面向3D室内场景设计的对话模型。 + +### 1.1 数据源结构 + +``` +3d-front-converted/ +├── {scene_uuid}/ +│ ├── {RoomType}-{RoomId}.json # 场景布局数据 +│ ├── {RoomType}-{RoomId}/ # 渲染图片目录 +│ │ ├── render_diagonal.png # 斜视角渲染 +│ │ └── render_topdown.png # 俯视角渲染 +│ ├── render_diagonal.png # 场景整体渲染 +│ └── render_topdown.png +``` + +### 1.2 场景 JSON 结构 + +```json +{ + "meta": { + "scene_id": "LivingRoom-25791", + "scene_type": "livingroom" + }, + "architecture": { + "floor_polygon": [[x, y, z], ...], + "height": 2.6 + }, + "assets": [ + { + "id": 0, + "model_uid": "uuid", + "pos": [x, y, z], + "size": [w, h, d], + "rot": [rx, ry, rz], + "description": "家具描述" + } + ] +} +``` + +## 2. Pipeline 架构设计 + +``` +┌─────────────────────────────────────────────────────────────────────────────┐ +│ Multi-Turn Dialog Pipeline │ +├─────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ ┌──────────────┐ ┌───────────────┐ ┌──────────────┐ │ +│ │ 数据加载 │───▶│ 场景分析器 │───▶│ 状态管理器 │ │ +│ │ Loader │ │ Analyzer │ │StateManager │ │ +│ └──────────────┘ └───────────────┘ └──────────────┘ │ +│ │ │ │ │ +│ ▼ ▼ ▼ │ +│ ┌─────────────────────────────────────────────────────────────────────┐ │ +│ │ 对话生成策略引擎 │ │ +│ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ │ +│ │ │ Category A │ │ Category B │ │ Category C │ │ ... │ │ │ +│ │ │ 规划类 │ │ 迭代编辑 │ │ 多场景 │ │ │ │ │ +│ │ └────────────┘ └────────────┘ └────────────┘ └────────────┘ │ │ +│ └─────────────────────────────────────────────────────────────────────┘ │ +│ │ │ +│ ▼ │ +│ ┌──────────────┐ ┌───────────────┐ ┌──────────────┐ │ +│ │ LLM 对话 │───▶│ Layout 变换 │───▶│ 数据验证 │ │ +│ │ Generator │ │ Transformer │ │ Validator │ │ +│ └──────────────┘ └───────────────┘ └──────────────┘ │ +│ │ │ +│ ▼ │ +│ ┌──────────────────────────────────────────────────────────────────────┐ │ +│ │ 输出数据格式化 │ │ +│ │ { turns: [{role, content, layout_state}], metadata } │ │ +│ └──────────────────────────────────────────────────────────────────────┘ │ +│ │ +└─────────────────────────────────────────────────────────────────────────────┘ +``` + +## 3. 核心模块详细设计 + +### 3.1 场景状态管理器 (SceneStateManager) + +```python +class SceneState: + """场景状态枚举""" + EMPTY = "empty" # 空房间 + PARTIAL = "partial" # 部分家具 + BAD = "bad" # 错误布局（用于纠错类） + CORE = "core" # 核心家具 + FINAL = "final" # 最终完整布局 + +class SceneStateManager: + """管理场景在对话过程中的状态变换""" + + def __init__(self, final_layout: dict): + self.final_layout = final_layout + self.current_state = SceneState.EMPTY + self.current_layout = None + + def derive_core_layout(self, core_furniture_types: List[str]) -> dict: + """从最终布局提取核心家具""" + pass + + def derive_partial_layout(self, region: str) -> dict: + """从最终布局提取部分区域""" + pass + + def create_bad_layout(self, error_type: str) -> dict: + """创建带有错误的布局（旋转、位移等）""" + pass +``` + +### 3.2 对话策略引擎 (DialogStrategyEngine) + +```python +class DialogStrategy(ABC): + """对话策略基类""" + + @abstractmethod + def generate_dialog(self, scene_data: dict, state_manager: SceneStateManager) -> List[DialogTurn]: + pass + +class CategoryAPlanningStrategy(DialogStrategy): + """类别A：规划导向对话""" + pass + +class CategoryB1IncrementalStrategy(DialogStrategy): + """类别B1：增量添加对话""" + pass + +class CategoryB2CorrectionStrategy(DialogStrategy): + """类别B2：修正调整对话""" + pass + +class CategoryB3PartialRegenerationStrategy(DialogStrategy): + """类别B3：局部重绘对话""" + pass + +class CategoryCMultiSceneStrategy(DialogStrategy): + """类别C：多场景管理对话""" + pass +``` + +### 3.3 Layout 变换器 (LayoutTransformer) + +```python +class LayoutTransformer: + """Layout 状态变换操作""" + + @staticmethod + def extract_by_furniture_category(layout: dict, categories: List[str]) -> dict: + """按家具类别提取子集""" + pass + + @staticmethod + def extract_by_region(layout: dict, region: BoundingBox) -> dict: + """按空间区域提取子集""" + pass + + @staticmethod + def apply_rotation_error(layout: dict, obj_id: int, angle: float) -> dict: + """应用旋转错误""" + pass + + @staticmethod + def apply_position_error(layout: dict, obj_id: int, offset: List[float]) -> dict: + """应用位移错误""" + pass + + @staticmethod + def compute_layout_diff(layout_before: dict, layout_after: dict) -> LayoutDiff: + """计算两个布局之间的差异""" + pass +``` + +## 4. 各类别对话生成详细方案 + +### 4.1 类别 A：规划导向 (Planning-Oriented) + +#### A1/A2: 需求澄清型 + +**对话流程：** +``` +Turn 1 (User): 模糊的设计需求 +Turn 2 (Agent): 追问具体需求 [Text Only] +Turn 3 (User): 补充详细需求 +Turn 4 (Agent): [Generate Final_Layout] +``` + +**状态变换：** `None -> None -> Final` + +**GPT Prompt 模板：** +``` +你需要为以下场景生成一个多轮对话训练数据。 + +场景信息： +- 房间类型：{room_type} +- 最终布局：{final_layout_json} +- 家具列表：{furniture_descriptions} + +生成规则： +1. Turn 1: 用户给出模糊的设计需求（如"帮我设计个现代风卧室"） +2. Turn 2: AI追问关键细节（功能需求、空间限制等） +3. Turn 3: 用户回答追问并补充细节 +4. Turn 4: AI基于完整需求生成最终布局 + +输出格式： +{ + "turns": [ + {"role": "user", "content": "..."}, + {"role": "assistant", "content": "...", "has_generation": false}, + {"role": "user", "content": "..."}, + {"role": "assistant", "content": "...", "has_generation": true, "layout": {...}} + ] +} +``` + +### 4.2 类别 B：迭代编辑 (Iterative Editing) + +#### B1: 增量添加 (Sequential Addition) + +**对话流程：** +``` +Turn 1 (User): 先放基础家具指令 +Turn 2 (Agent): [Generate Core_Layout] +Turn 3 (User): 添加更多家具指令 +Turn 4 (Agent): [Generate Final_Layout] +``` + +**状态变换：** `Empty -> Core -> Final` + +**Python 预处理逻辑：** +```python +def prepare_incremental_data(final_layout: dict) -> Tuple[dict, dict, str]: + """ + 准备增量添加类型的对话数据 + + Returns: + core_layout: 核心家具布局 + final_layout: 完整布局 + diff_description: 差异描述（用于GPT生成指令） + """ + # 1. 识别核心家具（床、沙发、餐桌等主要家具） + core_categories = ['bed', 'sofa', 'dining_table', 'desk', 'wardrobe'] + core_assets = [a for a in final_layout['assets'] + if classify_furniture(a['description']) in core_categories] + + # 2. 识别附加家具 + additional_assets = [a for a in final_layout['assets'] + if a not in core_assets] + + # 3. 构建核心布局 + core_layout = { + **final_layout, + 'assets': core_assets + } + + # 4. 生成差异描述 + diff_description = describe_furniture_diff(core_assets, additional_assets) + + return core_layout, final_layout, diff_description +``` + +#### B2: 修正调整 (Correction & Refinement) + +**对话流程：** +``` +Turn 1 (User): 设计指令 +Turn 2 (Agent): [Generate Bad_Layout] (故意错误) +Turn 3 (User): 纠错指令 +Turn 4 (Agent): [Generate Final_Layout] +``` + +**状态变换：** `Empty -> Bad -> Final` + +**错误类型生成：** +```python +class ErrorGenerator: + """生成各类布局错误""" + + ERROR_TYPES = [ + 'rotation_180', # 家具朝向错误（背对功能区） + 'position_collision', # 位置穿模 + 'position_blocked', # 阻挡通道 + 'wrong_furniture', # 放错家具类型 + 'missing_essential', # 缺少必要家具 + ] + + @staticmethod + def apply_rotation_error(layout: dict) -> Tuple[dict, str]: + """应用旋转错误，返回错误布局和错误描述""" + # 选择一个面向性家具（沙发、椅子等） + target = select_orientation_furniture(layout) + bad_layout = rotate_object(layout, target['id'], math.pi) + error_desc = f"{target['description']} 朝向错误，背对着主要功能区" + return bad_layout, error_desc +``` + +#### B3: 局部重绘 (Partial Regeneration) + +**对话流程：** +``` +Turn 1 (User): 布置部分区域指令 +Turn 2 (Agent): [Generate Partial_Layout] +Turn 3 (User): 补充其他区域指令 +Turn 4 (Agent): [Generate Final_Layout] +``` + +**状态变换：** `Empty -> Partial -> Final` + +**区域划分逻辑：** +```python +def partition_scene_into_regions(layout: dict) -> List[Region]: + """将场景划分为功能区域""" + # 基于家具聚类分析 + clusters = cluster_furniture_by_position(layout['assets']) + + # 基于功能识别 + regions = [] + for cluster in clusters: + region_type = infer_region_type(cluster) + regions.append(Region( + type=region_type, + assets=cluster, + bounds=compute_region_bounds(cluster) + )) + + return regions +``` + +### 4.3 类别 C：多场景管理 (Multi-Scene) + +#### C1: 空间切换 + +**对话流程：** +``` +Turn 1 (User): 设计房间A指令 +Turn 2 (Agent): [Generate Layout_A] +Turn 3 (User): 切换到房间B指令 +Turn 4 (Agent): [Generate Layout_B] +``` + +**数据准备：** +```python +def prepare_multi_scene_data(scene_uuid: str) -> List[dict]: + """从同一户型中获取多个房间布局""" + scene_dir = f"3d-front-converted/{scene_uuid}" + layouts = [] + for json_file in Path(scene_dir).glob("*.json"): + with open(json_file) as f: + layouts.append(json.load(f)) + return layouts +``` + +#### C2: 方案对比型 + +**对话流程：** +``` +Turn 1 (User): 设计指令 + 风格A +Turn 2 (Agent): [Generate Layout_A] +Turn 3 (User): 换种风格/布局 +Turn 4 (Agent): [Generate Layout_B] +``` + +## 5. 数据输出格式 + +```json +{ + "dialog_id": "uuid", + "dialog_type": "B1_incremental", + "source_scene": { + "scene_uuid": "14ea58a6-...", + "room_id": "LivingRoom-25791", + "room_type": "livingroom" + }, + "turns": [ + { + "turn_id": 1, + "role": "user", + "content": "帮我设计一个现代风格的客厅，先放上主要的沙发和茶几。", + "layout_state": "empty", + "attached_layout": null + }, + { + "turn_id": 2, + "role": "assistant", + "content": "好的，我为您设计了一个现代简约风格的客厅基础布局...", + "layout_state": "core", + "attached_layout": { + "meta": {...}, + "architecture": {...}, + "assets": [ + // 核心家具 + ] + }, + "has_generation": true + }, + { + "turn_id": 3, + "role": "user", + "content": "不错，但感觉有点空，能加些台灯和装饰品吗？", + "layout_state": "core", + "attached_layout": null + }, + { + "turn_id": 4, + "role": "assistant", + "content": "我为您添加了精心挑选的台灯、装饰品和地毯...", + "layout_state": "final", + "attached_layout": { + "meta": {...}, + "architecture": {...}, + "assets": [ + // 完整家具 + ] + }, + "has_generation": true + } + ], + "metadata": { + "created_at": "2024-12-11", + "num_turns": 4, + "total_objects": 13, + "core_objects": 5, + "added_objects": 8 + } +} +``` + +## 6. 实现计划 + +### Phase 1: 基础设施 (Week 1) + +- [ ] 实现 `SceneDataLoader` - 加载和解析 3D-FRONT 转换数据 +- [ ] 实现 `LayoutTransformer` - Layout 变换操作 +- [ ] 实现 `SceneStateManager` - 状态管理 + +### Phase 2: 对话策略 (Week 2) + +- [ ] 实现 Category A 策略 (规划类) +- [ ] 实现 Category B1 策略 (增量添加) +- [ ] 实现 Category B2 策略 (修正调整) +- [ ] 实现 Category B3 策略 (局部重绘) + +### Phase 3: LLM 集成 (Week 3) + +- [ ] 设计 GPT Prompt 模板 +- [ ] 实现并行调用 Azure OpenAI +- [ ] 实现响应解析和验证 + +### Phase 4: 数据生成与验证 (Week 4) + +- [ ] 批量生成对话数据 +- [ ] 实现数据质量验证 +- [ ] 数据统计和分析 + +## 7. 关键技术点 + +### 7.1 家具分类器 + +```python +FURNITURE_CATEGORIES = { + 'core': ['bed', 'sofa', 'dining_table', 'desk', 'wardrobe'], + 'seating': ['chair', 'armchair', 'stool', 'ottoman'], + 'storage': ['cabinet', 'shelf', 'dresser', 'sideboard'], + 'lighting': ['lamp', 'chandelier', 'pendant'], + 'decorative': ['plant', 'vase', 'artwork', 'rug', 'mirror'] +} + +def classify_furniture(description: str) -> str: + """基于描述文本分类家具""" + # 使用关键词匹配或小型分类模型 + pass +``` + +### 7.2 区域功能识别 + +```python +REGION_TYPES = { + 'seating_area': ['沙发', '茶几', '电视柜'], + 'dining_area': ['餐桌', '餐椅'], + 'sleeping_area': ['床', '床头柜'], + 'work_area': ['书桌', '办公椅'], + 'storage_area': ['衣柜', '书柜'] +} +``` + +### 7.3 错误检测逻辑 + +```python +def detect_layout_errors(layout: dict) -> List[LayoutError]: + """检测布局中的潜在错误""" + errors = [] + + # 检测穿模 + errors.extend(detect_collisions(layout)) + + # 检测通道阻挡 + errors.extend(detect_blocked_paths(layout)) + + # 检测朝向问题 + errors.extend(detect_orientation_issues(layout)) + + return errors +``` + +## 8. 数据质量保证 + +### 8.1 验证检查项 + +- [ ] 对话逻辑连贯性 +- [ ] Layout JSON 格式正确性 +- [ ] 状态转换合理性 +- [ ] 家具数量一致性 +- [ ] 空间约束满足性 + +### 8.2 人工抽检 + +- 每种类型抽取 5% 进行人工审核 +- 建立质量评分标准 +- 迭代优化 Prompt + +## 9. 扩展性考虑 + +### 9.1 新类别扩展 + +Pipeline 设计支持通过继承 `DialogStrategy` 基类添加新的对话类别。 + +### 9.2 多模态扩展 + +预留图像输入接口，支持未来加入： +- 渲染图片作为上下文 +- 用户手绘草图理解 +- 参考图片风格迁移 diff --git a/eval/respace/src/__init__.py b/eval/respace/src/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/eval/respace/src/train.py b/eval/respace/src/train.py new file mode 100644 index 0000000000000000000000000000000000000000..18cd07329acf4f2d3db253e20a5be239e0f00812 --- /dev/null +++ b/eval/respace/src/train.py @@ -0,0 +1,263 @@ +import logging +import wandb +import re +import json +import math +from pathlib import Path +import os +from transformers import TrainerCallback +import torch +import gc +import time +import pdb + +from utils import remove_and_recreate_folder, get_model, safe_parse_scene +from test import run_test + +def get_lora_sft_layers(model, process_index): + model_modules = str(model.modules) + pattern = r'\((\w+)\): Linear' + linear_layer_names = re.findall(pattern, model_modules) + names = [] + for name in linear_layer_names: + names.append(name) + target_modules = list(set(names)) + print(f"[ idx {process_index} ] lora layers for target_modules param:", target_modules) + +class CustomTrainerCallback(TrainerCallback): + def __init__(self, n_samples_snippet, trainer, dataset_train, dataset_val, dataset_test, sampling_engine, dvc, cli_args, accelerator=None, is_sft_training=False, log_every_n_steps=None, steps_per_epoch=None): + self.trainer = trainer + self.sampling_engine = sampling_engine + self.cli_args = cli_args + self.dvc = dvc + self.accelerator = accelerator + self.best_val_delta_pbl_loss = float("inf") + self.n_samples_snippet = n_samples_snippet + self.current_step_rewards = [] + + self.dataset_train = dataset_train.select(range(self.n_samples_snippet)) + self.dataset_val = dataset_val.select(range(self.n_samples_snippet)) + self.dataset_test = dataset_test.select(range(self.n_samples_snippet)) + + self.is_sft_training = is_sft_training + self.log_every_n_steps = log_every_n_steps + self.steps_per_epoch = steps_per_epoch + + self.all_prompts = json.load(open(os.getenv("PTH_ASSETS_METADATA_PROMPTS"))) + self.all_assets_metadata_simple_descs = json.load(open(os.getenv("PTH_ASSETS_METADATA_SIMPLE_DESCS"))) + + def on_log(self, args, state, control, logs=None, **kwargs): + if self.accelerator.is_main_process and logs is not None: + current_epoch = int(math.ceil(state.epoch)) + + if self.cli_args.use_wandb and logs and "loss" in logs: + + wandb.log({ + "train loss": logs["loss"], + "train learning rate": logs["learning_rate"], + "train grad norm": logs["grad_norm"], + "epoch": current_epoch + }) + if "reward" in logs: + wandb.log({ + "train/grpo/reward": logs["reward"], + "train/grpo/reward_std": logs["reward_std"], + "epoch": current_epoch + }) + if "rewards/chosen" in logs: + wandb.log({ + "train/dpo/rewards_chosen": logs["rewards/chosen"], + "train/dpo/rewards_rejected": logs["rewards/rejected"], + "train/dpo/rewards_accuracies": logs["rewards/accuracies"], + "train/dpo/rewards_margins": logs["rewards/margins"], + "epoch": current_epoch + }) + + def on_step_end(self, args, state, control, **kwargs): + # for GRPO / DPO + if not self.is_sft_training and state.global_step > 0 and state.global_step % self.log_every_n_steps == 0: + current_step = state.global_step + virtual_epoch = current_step / self.steps_per_epoch + + print(f"\nRunning evaluation at step {current_step} (virtual epoch: {virtual_epoch:.2f})") + self._run_evaluation(state, virtual_epoch=virtual_epoch) + + if hasattr(self.trainer, "get_and_clear_step_rewards"): + step_rewards = self.trainer.get_and_clear_step_rewards() + + if step_rewards and self.cli_args.use_wandb: + wandb.log({ + "train/grpo/step_reward": step_rewards["mean"], + "train/grpo/step_reward_std": step_rewards["std"], + "step": state.global_step + }) + print(f"Logging step rewards at step {state.global_step}: mean={step_rewards['mean']:.4f}, std={step_rewards['std']:.4f}") + + return control + + def on_evaluate(self, args, state, control, metrics=None, **kwargs): + if self.is_sft_training: + self.accelerator.wait_for_everyone() + current_epoch = int(math.ceil(state.epoch)) + + print(f"\nRunning evaluation at epoch {current_epoch}") + self._run_evaluation(state, metrics=metrics) + + return control + + def _run_evaluation(self, state, virtual_epoch=None, metrics=None): + # Your existing evaluation code from on_evaluate + current_epoch = int(math.ceil(state.epoch)) if virtual_epoch is None else virtual_epoch + checkpoint_dir_last = f"./ckpts/{self.cli_args.jid}/checkpoint-last" + + if self.accelerator.is_main_process: + print(f"running custom eval at epoch {current_epoch})") + save_model_and_config(checkpoint_dir_last, self.accelerator, self.trainer.model, self.trainer.processing_class) + print("checkpoint-last saved!") + + if self.cli_args.use_wandb and metrics and "eval_loss" in metrics: + eval_metrics = next((log for log in reversed(state.log_history) if any(k.startswith('eval_') for k in log.keys())), {}) + wandb.log({ + "eval loss": metrics["eval_loss"], + "epoch": current_epoch + }) + if "eval_reward" in eval_metrics: + wandb.log({ + "eval/grpo/reward": eval_metrics["eval_reward"], + "eval/grpo/reward_std": eval_metrics["eval_reward_std"], + "epoch": current_epoch + }) + + # prep rendering folders if necessary + if self.cli_args.do_renderings: + for split in ["train", "val", "test"]: + pth_viz_output = Path(f"{os.getenv('PTH_EVAL_VIZ_CACHE')}/run-test-subset-{split}") + remove_and_recreate_folder(pth_viz_output) + + self.accelerator.wait_for_everyone() + + # ************************************************** + # run evaluation + + print(f"loading model from {checkpoint_dir_last} for evaluation...") + + eval_model, eval_tokenizer, max_seq_length = get_model(checkpoint_dir_last, self.cli_args.use_gpu, self.accelerator) + if hasattr(eval_model, 'merge_and_unload'): + print("calling merge_and_unload()...") + eval_model_merged = eval_model.merge_and_unload() + print("model merged!") + else: + print("using unmerged model...") + eval_model_merged = eval_model + + aggregated_metrics_train = run_test(eval_model_merged, eval_tokenizer, self.accelerator, self.dvc, "train", self.cli_args.room_type, self.dataset_train, max_seq_length, self.sampling_engine, self.all_prompts, self.all_assets_metadata_simple_descs, self.cli_args.do_simple_descs, self.cli_args, n_best_of_n_llm=self.cli_args.n_best_of_n_llm, do_print=False, epoch=current_epoch) + gc.collect() + torch.cuda.empty_cache() + time.sleep(3.0) + + aggregated_metrics_val = run_test(eval_model_merged, eval_tokenizer, self.accelerator, self.dvc, "val", self.cli_args.room_type, self.dataset_val, max_seq_length, self.sampling_engine, self.all_prompts, self.all_assets_metadata_simple_descs, self.cli_args.do_simple_descs, self.cli_args, n_best_of_n_llm=self.cli_args.n_best_of_n_llm, do_print=False, epoch=current_epoch) + gc.collect() + torch.cuda.empty_cache() + time.sleep(3.0) + + aggregated_metrics_test = run_test(eval_model_merged, eval_tokenizer, self.accelerator, self.dvc, "test", self.cli_args.room_type, self.dataset_test, max_seq_length, self.sampling_engine, self.all_prompts, self.all_assets_metadata_simple_descs, self.cli_args.do_simple_descs, self.cli_args, n_best_of_n_llm=self.cli_args.n_best_of_n_llm, do_print=False, epoch=current_epoch) + gc.collect() + torch.cuda.empty_cache() + time.sleep(3.0) + + val_delta_pbl_loss = aggregated_metrics_val["scene_delta_pbl_loss"] + + # save checkpoint-best + if self.accelerator.is_main_process: + if val_delta_pbl_loss < self.best_val_delta_pbl_loss: + self.best_val_delta_pbl_loss = val_delta_pbl_loss + checkpoint_dir = f"./ckpts/{self.cli_args.jid}/checkpoint-best" + save_model_and_config(checkpoint_dir, self.accelerator, self.trainer.model, self.trainer.processing_class) + print("checkpoint-best saved!") + metadata = { + "epoch": current_epoch, + "best_val_delta_pbl_loss": val_delta_pbl_loss, + } + with open(os.path.join(checkpoint_dir, "best_val.json"), "w") as f: + json.dump(metadata, f, indent=4) + else: + print("no improvement in val loss; model not saved") + + del eval_model_merged + gc.collect() + torch.cuda.empty_cache() + time.sleep(3.0) + + print("\nEvaluation complete, resuming training...\n") + self.accelerator.wait_for_everyone() + +def save_model_and_config(checkpoint_dir, accelerator, model, tokenizer): + os.makedirs(checkpoint_dir, exist_ok=True) + unwrapped_model = accelerator.unwrap_model(model) + unwrapped_model.save_pretrained(checkpoint_dir, save_embedding_layers=True) + unwrapped_model.config.save_pretrained(checkpoint_dir) + tokenizer.save_pretrained(checkpoint_dir) + +def is_important_token(token): + if token in [" ", ",", "[", "]", " [", "] ", "]}", "{", "}", "],", ' "', '"', '":', ""]: + return False + return True + +def compute_custom_token_weights(inputs, processing_class): + completion_ids = inputs["completion_ids"] + completion_mask = inputs["completion_mask"] + + batch_size, seq_len = completion_mask.shape + device = completion_mask.device + + token_weights = torch.zeros_like(completion_mask, dtype=torch.float32) + text_per_token_lists = [] + + for i in range(batch_size): + text_per_token_list = processing_class.batch_decode(completion_ids[i].unsqueeze(1), skip_special_tokens=True) + text_per_token_lists.append(text_per_token_list) + full_completion = ''.join(text_per_token_list) + + # if it's not a valid json, skip and keep the default weights + json_obj = safe_parse_scene(full_completion) + if json_obj is None: + token_weights[i, :] = 1.0 + continue + + idx_start_pos = text_per_token_list.index('pos') + idx_start_rot = text_per_token_list.index('rot') + idx_start_size = text_per_token_list.index('size') + + # print(idx_start_pos, idx_start_rot, idx_start_size) + + idxs_all_numerical = [] + + for idx_token in range(idx_start_pos+2, idx_start_rot-2): + if is_important_token(text_per_token_list[idx_token]): + idxs_all_numerical.append(idx_token) + + for idx_token in range(idx_start_rot+2, idx_start_size-2): + if is_important_token(text_per_token_list[idx_token]): + idxs_all_numerical.append(idx_token) + + for idx_token in range(idx_start_size+2, len(text_per_token_list)-1): + if is_important_token(text_per_token_list[idx_token]): + idxs_all_numerical.append(idx_token) + + # print(idxs_all_numerical) + # print("") + + # Apply weights to numerical tokens + token_weights[i, idxs_all_numerical] = 1.0 + + # # print each token and its weight on new line and split by delimiter for each item in batch + # for k in range(batch_size): + # for j in range(seq_len): + # print(f"{j} \t {token_weights[k, j]} \t >>{text_per_token_lists[k][j]}<<") + # print("\n=========================================================") + # exit() + + # Apply completion mask to ensure we only weight actual tokens + token_weights = token_weights * completion_mask + + return token_weights.to(device) \ No newline at end of file diff --git a/eval/respace/src/train_grpo.py b/eval/respace/src/train_grpo.py new file mode 100644 index 0000000000000000000000000000000000000000..daa23c466ee663783bdfcd1888b5e276ad10467e --- /dev/null +++ b/eval/respace/src/train_grpo.py @@ -0,0 +1,449 @@ +import pdb +import json +import re +import traceback +import math +import torch +from trl import GRPOTrainer +from src.dataset import WeightedRandomSampler +from torch.utils.data import DataLoader +import os +from trl import GRPOTrainer, GRPOConfig +import gc + +from utils import safe_parse_scene, inherit_props_by_id, get_sft_model, init_wandb +from dataset import process_scene_sample, format_with_chat_template, create_full_scene_from_before_and_added +from eval import eval_scene_before_after_with_delta, compute_dss_score, compute_size_l2_dist +from train import CustomTrainerCallback, compute_custom_token_weights + + +class RewardFunctionWrapper: + def __init__(self, trainer): + self.trainer = trainer + self.__name__ = "custom_reward_func" + + def __call__(self, completions, prompts, **kwargs): + return self.trainer.calculate_reward(completions, prompts, **kwargs) + +class GRPOSceneInstructionTrainer(GRPOTrainer): + def __init__(self, *args, **kwargs): + + self.tok = kwargs.pop("tokenizer") + self.max_seq_length = kwargs.pop("max_seq_length") + + self.sampling_engine = kwargs.pop("sampling_engine") + self.n_best_of_n_assets = kwargs.pop("n_best_of_n_assets") + self.do_augm = kwargs.pop("do_augm") + self.do_simple_descs = kwargs.pop("do_simple_descs") + self.do_full_sg_outputs = kwargs.pop("do_full_sg_outputs") + + self.do_token_masking = kwargs.pop("do_token_masking") + self.do_neutral_rewards = kwargs.pop("do_neutral_rewards") + + self.all_prompts = json.load(open(os.getenv("PTH_ASSETS_METADATA_PROMPTS"))) + self.all_assets_metadata_simple_descs = json.load(open(os.getenv("PTH_ASSETS_METADATA_SIMPLE_DESCS"))) + + self.neutral_indices = [] + self.reward_version = kwargs.pop("reward_version") + + # Create our wrapper + # original_reward_funcs = kwargs.get("reward_funcs") + kwargs["reward_funcs"] = RewardFunctionWrapper(self) + self.reward_step_buffer = [] + + super().__init__(*args, **kwargs) + + # def get_train_dataloader(self): + # if self.train_dataset is None: + # return None + + # weights = torch.FloatTensor(self.train_dataset["sampling_weight"]) + # sampler = WeightedRandomSampler( + # weights=weights, + # num_samples=len(self.train_dataset), + # replacement=True + # ) + # return DataLoader( + # self.train_dataset, + # batch_size=self.args.per_device_train_batch_size, + # sampler=sampler, + # collate_fn=self.data_collator + # ) + + def calculate_reward(self, completions, prompts, **kwargs): + rewards = [0.0] * len(completions) + neutral_indices = [] + + # print(self.original_data_mapping) + + # group completions by prompt + prompt_to_completions = {} + for i, prompt in enumerate(prompts): + if prompt not in prompt_to_completions: + prompt_to_completions[prompt] = [] + prompt_to_completions[prompt].append((i, completions[i])) + + for prompt, indexed_completions in prompt_to_completions.items(): + scene_before = json.loads(re.search(r'(.*?)', prompt, re.DOTALL).group(1)) + scene_before_with_assets = self.sampling_engine.sample_all_assets(scene_before, is_greedy_sampling=(True if self.n_best_of_n_assets == 1 else False)) + + # orig_prompt = re.search(r'(.*?)', prompt, re.DOTALL).group(1) + orig_prompt = self.original_data_mapping[prompt]["orig_prompt"] + sg_output_add = json.loads(self.original_data_mapping[prompt]["sg_output_add"]) + + for original_idx, completion in indexed_completions: + unescaped_completion = completion.replace('\\"', '"') + scene_after = safe_parse_scene(unescaped_completion) + if scene_after is None: + rewards[original_idx] = 0.0 + else: + try: + if scene_after.get("objects") is None: + scene_after = create_full_scene_from_before_and_added(scene_before_with_assets, scene_after) + + # scene_after: sample last asset and inherit props from scene_before + scene_after_with_assets = self.sampling_engine.sample_last_asset(scene_after, is_greedy_sampling=(True if self.n_best_of_n_assets == 1 else False)) + inherit_props_by_id(scene_before_with_assets, scene_after_with_assets) + scene_after_with_assets["objects"][-1]["prompt"] = orig_prompt + + metrics = eval_scene_before_after_with_delta(scene_before_with_assets, scene_after_with_assets) + + # if self.reward_version == "v1": + # rewards[original_idx] = 1.0 if metrics["delta_pbl_loss"] < 1e-5 else -1.0 + + # V2: also consider PMS + # if metrics["delta_pbl_loss"] < 1e-5 and metrics["txt_pms_score"] > 0.85: + + new_obj_desc = scene_after_with_assets["objects"][-1].get("desc") + gt_obj_desc = sg_output_add.get("desc") + txt_dss_score = compute_dss_score(new_obj_desc, gt_obj_desc, self.sampling_engine) + + new_obj_size = scene_after_with_assets["objects"][-1].get("size") + gt_obj_size = sg_output_add.get("size") + size_l2_dist = compute_size_l2_dist(new_obj_size, gt_obj_size) + + # print("delta pbl:", metrics["delta_pbl_loss"], "txt pms sampled score:", metrics["txt_pms_sampled_score"], "size l2 dist:", size_l2_dist, "txt dss score:", txt_dss_score) + + # V3: also consider size and DSS + # if metrics["delta_pbl_loss"] < 1e-5 and metrics["txt_pms_score"] > 0.85 and size_l2_dist < 0.4 and txt_dss_score > 0.90: + # raw_reward = 1.0 + # else: + # raw_reward = -1.0 + + # if self.reward_version == "v4": + # if (metrics["delta_pbl_loss"] < 1e-5 and metrics["txt_pms_sampled_score"] > 0.85 and size_l2_dist < 0.2 and txt_dss_score > 0.90): + # rewards[original_idx] = 1.0 + # else: + # neutral_indices.append(original_idx) + + if self.reward_version == "v5": + if (metrics["delta_pbl_loss"] < 1e-5 and metrics["txt_pms_sampled_score"] > 0.85 and size_l2_dist < 0.2 and txt_dss_score > 0.90): + rewards[original_idx] = 1.0 + else: + rewards[original_idx] = 0.2 + neutral_indices.append(original_idx) + + except Exception as e: + print(f"error in eval_scene_before_after_with_delta: {e}") + traceback.print_exc() + rewards[original_idx] = 0.0 + + # rewards[original_idx] = raw_reward + + if self.accelerator.is_main_process: + self.reward_step_buffer.extend(rewards) + + self.neutral_indices = neutral_indices + + print("rewards at the end:", rewards) + return rewards + + def _prepare_inputs(self, inputs): + processed_inputs = [] + original_data_mapping = {} + + for sample in inputs: + full_sample_instr, sample_sg_output_full, orig_prompt, _ = process_scene_sample(sample, self.tok, self.max_seq_length, self.all_prompts, self.all_assets_metadata_simple_descs, self.do_simple_descs, self.do_augm, self.do_full_sg_outputs) + formatted_prompt = format_with_chat_template(self.processing_class, full_sample_instr) + processed_sample = {"prompt": formatted_prompt} + processed_inputs.append(processed_sample) + + original_data_mapping[formatted_prompt] = { + "orig_prompt": orig_prompt, + "sg_output_add": sample_sg_output_full, + } + + self.original_data_mapping = original_data_mapping + + processed_result = super()._prepare_inputs(processed_inputs) + + # print("before: ", processed_result["advantages"]) + if self.do_neutral_rewards: + for idx in self.neutral_indices: + if idx < len(processed_result["advantages"]): + processed_result["advantages"][idx] = 0.0 + # print("after: ", processed_result["advantages"]) + + return processed_result + + # def print_top_tokens(self, logits, input_ids, completion_mask=None, top_k=10): + # print("printing top-k tokens") + # batch_size, seq_len, vocab_size = logits.shape + + # for batch_idx in range(batch_size): + # print(f"\n----- Sample {batch_idx} -----") + + # # Decode the full completion for reference + # if completion_mask is not None: + # # Extract only the completion part + # completion_len = completion_mask[batch_idx].sum().int().item() + # completion = input_ids[batch_idx, -completion_len:] + # else: + # completion = input_ids[batch_idx] + + # # Get the actual tokens of the completion + # completion_text = self.processing_class.decode(completion, skip_special_tokens=False) + # print(f"Generated completion: {completion_text}") + + # # For each token position in the completion + # for pos in range(completion.shape[0]): + # # Skip padding tokens + # if completion_mask is not None and not completion_mask[batch_idx, pos]: + # continue + + # # Get the actual token at this position + # token_id = completion[pos].item() + # token_text = self.processing_class.decode([token_id], skip_special_tokens=False) + + # # Get the top-k token probabilities for this position + # pos_logits = logits[batch_idx, -completion.shape[0] + pos] + # top_values, top_indices = torch.topk(pos_logits, top_k) + # top_probs = torch.softmax(top_values, dim=0) + + # print(f"\nPosition {pos}, Chosen token: '{token_text}' (ID: {token_id})") + # print("Top-10 candidates:") + + # for i in range(top_k): + # candidate_id = top_indices[i].item() + # candidate_text = self.processing_class.decode([candidate_id], skip_special_tokens=False) + # candidate_prob = top_probs[i].item() + # candidate_logit = top_values[i].item() + + # # Mark the chosen token with an asterisk + # marker = "*" if candidate_id == token_id else " " + # print(f"{marker} {candidate_text:<10} (ID: {candidate_id:<6}) Prob: {candidate_prob:.4f} Logit: {candidate_logit:.4f}") + + # def _get_per_token_logps(self, model, input_ids, attention_mask, logits_to_keep): + # # We add 1 to `logits_to_keep` because the last logits of the sequence is later excluded + # logits = model(input_ids=input_ids, attention_mask=attention_mask, logits_to_keep=logits_to_keep + 1).logits + # logits = logits[:, :-1, :] # (B, L-1, V), exclude the last logit: it corresponds to the next token pred + + # # Get just the completion part of the input_ids + # completion_ids = input_ids[:, -logits_to_keep:] + # completion_mask = attention_mask[:, -logits_to_keep:] + + # # For transformers<=4.48, logits_to_keep argument isn't supported, so here we drop logits ourselves. + # logits = logits[:, -logits_to_keep:] + + # # Print top tokens for debugging (only for the first few batches to avoid flooding logs) + # self.print_top_tokens(logits, completion_ids, completion_mask) + # exit() + + def compute_loss(self, model, inputs, return_outputs=False, num_items_in_batch=None): + + # if not self.do_token_masking: + + return super().compute_loss(model, inputs, return_outputs, num_items_in_batch) + + # token_weights = compute_custom_token_weights(inputs, self.processing_class) + + # completion_mask = inputs["completion_mask"].clone() + # token_weights = token_weights.to(completion_mask.device) + # masked_completion_mask = completion_mask * token_weights + + # original_completion_mask = inputs["completion_mask"] + # inputs["completion_mask"] = masked_completion_mask + + # loss = super().compute_loss(model, inputs, return_outputs, num_items_in_batch) + + # inputs["completion_mask"] = original_completion_mask + + # return loss + + # New method to get current step rewards for the callback + def get_and_clear_step_rewards(self): + if not self.reward_step_buffer: + return None + + rewards = self.reward_step_buffer + self.reward_step_buffer = [] + + if len(rewards) > 0: + mean_reward = sum(rewards) / len(rewards) + std_reward = torch.tensor(rewards).std().item() if len(rewards) > 1 else 0.0 + return { + "mean": mean_reward, + "std": std_reward + } + return None + + +def run_grpo_training(model_id, tokenizer, accelerator, dataset_train, dataset_val, dataset_test, sampling_engine, dvc, args): + + accelerator.wait_for_everyone() + gc.collect() + torch.cuda.empty_cache() + + # ************************************************** + + model, max_seq_length, lora_rank, lora_alpha = get_sft_model(model_id, args, accelerator) + + # ************************************************** + + # fix issue with qwen that ignores padding left + if args.do_grpo: + tokenizer.padding_side = "left" + if "qwen" in args.llm: + model.config.use_cache = False + + # ************************************************** + + learning_rate = args.grpo_learning_rate + + samples_per_step = args.dvc_batch_size * accelerator.num_processes * args.gas_steps + steps_per_epoch = math.ceil(len(dataset_train) / samples_per_step) + total_training_steps = steps_per_epoch * args.epochs + + log_every_n_steps = 5 + + grpo_config = GRPOConfig( + output_dir=f"./ckpts/{args.jid}", + logging_dir=f"./logs/{args.jid}", + + num_train_epochs=args.epochs if not args.do_sanity_check else 1, + max_steps=-1, + + per_device_train_batch_size=args.dvc_batch_size, + per_device_eval_batch_size=args.dvc_batch_size, + gradient_accumulation_steps=args.gas_steps, + + learning_rate=learning_rate, + lr_scheduler_type="cosine", + warmup_steps=5, + + # GRPO specific parameters + beta=(0.05 if not args.grpo_do_neutral_rewards else args.grpo_beta_kl), # KL coefficient (from paper) + num_generations=args.grpo_num_gen, + + # epsilon=0.05, + # epsilon_high=0.2, + + # take same params as during evals + temperature=args.grpo_temp, + # temperature=0.9, + # top_k=50, + # top_p=0.95, + + max_prompt_length=max_seq_length, + max_completion_length=128, + + save_strategy="no", + logging_steps=1, + logging_strategy="epoch", + eval_strategy="epoch", + greater_is_better=False, + + bf16=True, + + use_vllm=args.use_vllm, + vllm_device=f"cuda:{accelerator.num_processes}" if args.use_vllm else "auto", + vllm_max_model_len=max_seq_length, + vllm_gpu_memory_utilization=0.8, + + # scale_rewards=False, + # vllm_server_host=args.vllm_host, + # vllm_server_port=int(args.vllm_port), + # vllm_guided_decoding_regex = r'\{"desc": ".*?", "pos": \[-?\d+(\.\d+)?, -?\d+(\.\d+)?, -?\d+(\.\d+)?\], "rot": \[-?\d+(\.\d+)?, -?\d+(\.\d+)?, -?\d+(\.\d+)?, -?\d+(\.\d+)?\], "size": \[-?\d+(\.\d+)?, -?\d+(\.\d+)?, -?\d+(\.\d+)?\]\}', + + log_completions=False, + remove_unused_columns=False, + report_to=[], + label_names=[], + ) + + # def wrapped_reward_func(prompts, completions, **kwargs): + # return custom_reward_func( + # completions=completions, + # prompts=prompts, + # sampling_engine=sampling_engine, + # n_best_of_n_assets=1, + # use_vlm=False, + # **kwargs + # ) + + trainer = GRPOSceneInstructionTrainer( + model=model, + tokenizer=tokenizer, + max_seq_length=max_seq_length, + reward_funcs=None, + train_dataset=dataset_train, + eval_dataset=dataset_val.select(range(8)), + args=grpo_config, + processing_class=tokenizer, + sampling_engine=sampling_engine, + n_best_of_n_assets=1, + do_augm=args.do_augm, + do_simple_descs=args.do_simple_descs, + do_full_sg_outputs=args.do_full_sg_outputs, + do_token_masking=args.do_token_masking, + do_neutral_rewards=args.grpo_do_neutral_rewards, + reward_version=args.grpo_reward_version, + ) + + trainer.model = accelerator.prepare(trainer.model) + + trainer.add_callback(CustomTrainerCallback( + n_samples_snippet=min(500, len(dataset_test) if not args.do_sanity_check else 4), + trainer=trainer, + dataset_train=dataset_train, + dataset_val=dataset_val, + dataset_test=dataset_test, + sampling_engine=sampling_engine, + dvc=dvc, + cli_args=args, + accelerator=accelerator, + is_sft_training=False, + log_every_n_steps=log_every_n_steps, + steps_per_epoch=steps_per_epoch, + )) + + init_wandb(args, accelerator) + + if accelerator.is_main_process: + print("===============================================================================================") + print(f"GRPO: starting training") + print(f"RUN ID (wandb): {args.run_id}") + print(f"JOB ID (sherlock): {args.jid}") + print(f"number of processes (accelerate): {accelerator.num_processes}") + if args.use_lora: + print(f"lora rank: {lora_rank}") + print(f"lora alpha: {lora_alpha}") + model.print_trainable_parameters() + else: + print("full number of params to train:", model.num_parameters()) + print(f"number of completions per prompt: {grpo_config.num_generations}") + print(f"KL coefficient (beta): {grpo_config.beta}") + print(f"len of training dataset: {len(dataset_train)}") + print(f"per device batch size: {args.dvc_batch_size}") + print(f"samples_per_step: {samples_per_step}") + print(f"steps_per_epoch: {steps_per_epoch}") + print(f"log_every_n_steps: {log_every_n_steps}") + print(f"total_training_steps: {total_training_steps}") + print(f"using vLLM: {args.use_vllm}") + print("===============================================================================================") + + accelerator.wait_for_everyone() + trainer.train() + + if accelerator.is_main_process: + print("GRPO TRAINING FINISHED!") \ No newline at end of file diff --git a/eval/respace/tools/analyze_qwen7b_metrics.py b/eval/respace/tools/analyze_qwen7b_metrics.py new file mode 100644 index 0000000000000000000000000000000000000000..82a7edb6ebf6e7427c450b747f72a60004d1c532 --- /dev/null +++ b/eval/respace/tools/analyze_qwen7b_metrics.py @@ -0,0 +1,195 @@ +""" +分析qwen7b-aug0-1e5-360-old-data目录下的评估指标 +根据房间类型统计total_oob和total_mbl的情况 +""" +import os +import json +import pandas as pd +from pathlib import Path +from collections import defaultdict +import numpy as np + +def load_json_file(file_path): + """安全地加载JSON文件""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + return json.load(f) + except Exception as e: + print(f"❌ 加载文件失败 {file_path}: {e}") + return None + +def analyze_qwen7b_metrics(base_path): + """分析qwen7b评估指标""" + base_path = Path(base_path) + + if not base_path.exists(): + print(f"❌ 目录不存在: {base_path}") + return {} + + all_data = [] + total_dirs = 0 + processed_dirs = 0 + failed_dirs = [] + + print(f"🔍 开始分析目录: {base_path}") + + # 遍历所有子目录 + for subdir in base_path.iterdir(): + if not subdir.is_dir(): + continue + + total_dirs += 1 + + # 构造目标文件路径 + target_dir = subdir / "qwen7b-aug0-1e5-360-old-data" + evaluation_file = target_dir / "evaluation_metrics.json" + processed_file = target_dir / "processed_scene_data.json" + + print(f"📁 处理目录: {subdir.name}") + + # 检查文件是否存在 + if not target_dir.exists(): + print(f" ❌ 目标目录不存在") + failed_dirs.append((subdir.name, "目标目录不存在")) + continue + + if not evaluation_file.exists(): + print(f" ❌ evaluation_metrics.json不存在") + failed_dirs.append((subdir.name, "evaluation_metrics.json不存在")) + continue + + if not processed_file.exists(): + print(f" ❌ processed_scene_data.json不存在") + failed_dirs.append((subdir.name, "processed_scene_data.json不存在")) + continue + + # 加载文件 + evaluation_data = load_json_file(evaluation_file) + processed_data = load_json_file(processed_file) + + if evaluation_data is None or processed_data is None: + failed_dirs.append((subdir.name, "JSON文件加载失败")) + continue + + # 提取数据 + try: + room_type = processed_data.get('room_type', 'unknown') + total_oob = evaluation_data.get('total_oob_loss', 0.0) + total_mbl = evaluation_data.get('total_mbl_loss', 0.0) + total_collision = evaluation_data.get('total_collision_loss', 0.0) + total_utilization = evaluation_data.get('total_utilization_reward', 0.0) + format_reward = evaluation_data.get('format_reward', 0.0) + + data_entry = { + 'scene_id': subdir.name, + 'room_type': room_type, + 'total_oob_loss': total_oob, + 'total_mbl_loss': total_mbl, + 'total_collision_loss': total_collision, + 'total_utilization_reward': total_utilization, + 'format_reward': format_reward, + 'oob_mbl_sum': total_oob + total_mbl, + 'is_excellent': (total_oob < 0.01 and total_mbl < 0.01) + } + + all_data.append(data_entry) + processed_dirs += 1 + + print(f" ✅ 房间类型: {room_type}, OOB: {total_oob:.4f}, MBL: {total_mbl:.4f}") + + except Exception as e: + print(f" ❌ 数据提取失败: {e}") + failed_dirs.append((subdir.name, f"数据提取失败: {e}")) + + print(f"\n📊 处理完成: {processed_dirs}/{total_dirs} 个目录成功处理") + + return { + 'data': all_data, + 'stats': { + 'total_dirs': total_dirs, + 'processed_dirs': processed_dirs, + 'failed_dirs': len(failed_dirs) + }, + 'failed_details': failed_dirs + } + +def generate_statistics(data): + """生成详细的统计分析""" + if not data: + return {} + + df = pd.DataFrame(data) + + print("\n" + "="*60) + print("📈 详细统计分析") + print("="*60) + + # 基本统计 + print(f"\n📊 基本统计:") + print(f" 总样本数: {len(df)}") + print(f" 房间类型数量: {df['room_type'].nunique()}") + print(f" 优秀样本数 (OOB<0.01 且 MBL<0.01): {df['is_excellent'].sum()}") + print(f" 优秀样本比例: {df['is_excellent'].mean():.2%}") + + # 按房间类型统计 + print(f"\n🏠 按房间类型统计:") + for room_type in df['room_type'].unique(): + room_df = df[df['room_type'] == room_type] + excellent_count = room_df['is_excellent'].sum() + total_count = len(room_df) + + print(f" {room_type}:") + print(f" 样本数: {total_count}") + print(f" OOB均值: {room_df['total_oob_loss'].mean():.4f}") + print(f" MBL均值: {room_df['total_mbl_loss'].mean():.4f}") + print(f" 优秀样本: {excellent_count}/{total_count} ({excellent_count/total_count:.1%})") + + return df + +def save_results(df): + """保存分析结果到文件""" + # 保存原始数据 + df.to_csv("qwen7b_metrics_analysis.csv", index=False, encoding='utf-8') + print(f"\n💾 原始数据已保存到: qwen7b_metrics_analysis.csv") + + # 保存优秀样本列表 + excellent_samples = df[df['is_excellent']] + if not excellent_samples.empty: + with open("excellent_samples.txt", 'w', encoding='utf-8') as f: + f.write("优秀样本列表 (total_oob_loss < 0.01 且 total_mbl_loss < 0.01)\n") + f.write("="*60 + "\n\n") + + for _, row in excellent_samples.iterrows(): + f.write(f"场景ID: {row['scene_id']}\n") + f.write(f"房间类型: {row['room_type']}\n") + f.write(f"OOB损失: {row['total_oob_loss']:.6f}\n") + f.write(f"MBL损失: {row['total_mbl_loss']:.6f}\n") + f.write(f"格式奖励: {row['format_reward']:.4f}\n") + f.write("-" * 40 + "\n") + + print(f"⭐ 优秀样本列表已保存到: excellent_samples.txt") + +def main(): + """主函数""" + base_path = "/home/v-meiszhang/amlt-project/respace/eval/viz/qwen7b_vs_respace" + + print("🚀 开始分析qwen7b评估指标...") + + # 执行分析 + results = analyze_qwen7b_metrics(base_path) + + if not results.get('data'): + print("❌ 没有找到有效数据进行分析") + return + + # 生成统计 + df = generate_statistics(results['data']) + + # 保存结果 + save_results(df) + + print("\n✨ 分析完成!") + print(f" 处理了 {results['stats']['processed_dirs']} 个目录") + +if __name__ == "__main__": + main() diff --git a/eval/respace/tools/complement_bottom.py b/eval/respace/tools/complement_bottom.py new file mode 100644 index 0000000000000000000000000000000000000000..f501322a867d20ffa7d1c78983726974ce40741f --- /dev/null +++ b/eval/respace/tools/complement_bottom.py @@ -0,0 +1,222 @@ +import os +import json +from pathlib import Path + +def integrate_bounds_fields(scenes_dir: str, grouped_layouts_dir: str, backup: bool = True): + """ + 将scenes目录下的bounds_top和bounds_bottom字段整合到grouped_layouts目录下的同名文件中 + + Args: + scenes_dir: dataset-ssr3dfront/scenes目录路径 + grouped_layouts_dir: grouped_layouts目录路径 + backup: 是否在修改前创建备份 + """ + + scenes_path = Path(scenes_dir) + grouped_path = Path(grouped_layouts_dir) + + if not scenes_path.exists(): + print(f"Scenes目录不存在: {scenes_path}") + return + + if not grouped_path.exists(): + print(f"Grouped layouts目录不存在: {grouped_path}") + return + + # 创建备份目录（如果需要） + if backup: + backup_dir = grouped_path.parent / "grouped_layouts_backup" + backup_dir.mkdir(exist_ok=True) + print(f"备份目录: {backup_dir}") + + # 统计信息 + total_files = 0 + processed_files = 0 + missing_scenes = 0 + errors = 0 + + print("开始处理文件...") + + # 遍历grouped_layouts目录中的所有JSON文件 + for grouped_file in grouped_path.glob("*.json"): + total_files += 1 + + # 查找对应的scene文件 + scene_file = scenes_path / grouped_file.name + + if not scene_file.exists(): + missing_scenes += 1 + print(f"警告: 未找到对应的scene文件: {scene_file.name}") + continue + + try: + # 读取grouped layout文件 + with open(grouped_file, 'r', encoding='utf-8') as f: + grouped_data = json.load(f) + + # 读取scene文件 + with open(scene_file, 'r', encoding='utf-8') as f: + scene_data = json.load(f) + + # 检查scene文件是否包含所需字段 + if 'bounds_top' not in scene_data or 'bounds_bottom' not in scene_data: + print(f"警告: Scene文件缺少bounds字段: {scene_file.name}") + continue + + # 创建备份（如果需要） + if backup: + backup_file = backup_dir / grouped_file.name + with open(backup_file, 'w', encoding='utf-8') as f: + json.dump(grouped_data, f, ensure_ascii=False, indent=2) + + # 添加bounds字段到grouped data + grouped_data['bounds_top'] = scene_data['bounds_top'] + grouped_data['bounds_bottom'] = scene_data['bounds_bottom'] + + # 写回grouped layout文件 + with open(grouped_file, 'w', encoding='utf-8') as f: + json.dump(grouped_data, f, ensure_ascii=False, indent=2) + + processed_files += 1 + + if processed_files % 100 == 0: + print(f"已处理: {processed_files}/{total_files} 文件") + + except Exception as e: + errors += 1 + print(f"处理文件时出错 {grouped_file.name}: {e}") + + # 输出统计信息 + print("\n=== 处理完成 ===") + print(f"总文件数: {total_files}") + print(f"成功处理: {processed_files}") + print(f"缺少对应scene文件: {missing_scenes}") + print(f"处理错误: {errors}") + + if backup: + print(f"原始文件已备份到: {backup_dir}") + +def verify_integration(grouped_layouts_dir: str, sample_size: int = 10): + """ + 验证整合结果，检查部分文件是否正确添加了bounds字段 + + Args: + grouped_layouts_dir: grouped_layouts目录路径 + sample_size: 检查的样本文件数量 + """ + + grouped_path = Path(grouped_layouts_dir) + json_files = list(grouped_path.glob("*.json")) + + if not json_files: + print("未找到JSON文件") + return + + # 随机选择样本文件进行检查 + import random + sample_files = random.sample(json_files, min(sample_size, len(json_files))) + + print(f"\n=== 验证结果 (检查 {len(sample_files)} 个样本文件) ===") + + success_count = 0 + for file_path in sample_files: + try: + with open(file_path, 'r', encoding='utf-8') as f: + data = json.load(f) + + has_bounds_top = 'bounds_top' in data + has_bounds_bottom = 'bounds_bottom' in data + + if has_bounds_top and has_bounds_bottom: + success_count += 1 + print(f"✓ {file_path.name}: 包含bounds字段") + else: + missing_fields = [] + if not has_bounds_top: + missing_fields.append('bounds_top') + if not has_bounds_bottom: + missing_fields.append('bounds_bottom') + print(f"✗ {file_path.name}: 缺少字段 {missing_fields}") + + except Exception as e: + print(f"✗ {file_path.name}: 读取错误 - {e}") + + print(f"\n验证成功率: {success_count}/{len(sample_files)} ({success_count/len(sample_files)*100:.1f}%)") + +def show_file_structure_comparison(scenes_dir: str, grouped_layouts_dir: str, filename: str): + """ + 显示指定文件在两个目录中的结构对比 + + Args: + scenes_dir: scenes目录路径 + grouped_layouts_dir: grouped_layouts目录路径 + filename: 要对比的文件名 + """ + + scenes_file = Path(scenes_dir) / filename + grouped_file = Path(grouped_layouts_dir) / filename + + print(f"\n=== 文件结构对比: {filename} ===") + + # 显示scene文件结构 + if scenes_file.exists(): + try: + with open(scenes_file, 'r', encoding='utf-8') as f: + scene_data = json.load(f) + print(f"\nScene文件字段: {list(scene_data.keys())}") + if 'bounds_top' in scene_data: + print(f"bounds_top: {scene_data['bounds_top'][:2]}...") # 显示前2个元素 + if 'bounds_bottom' in scene_data: + print(f"bounds_bottom: {scene_data['bounds_bottom'][:2]}...") + except Exception as e: + print(f"读取scene文件错误: {e}") + else: + print("Scene文件不存在") + + # 显示grouped layout文件结构 + if grouped_file.exists(): + try: + with open(grouped_file, 'r', encoding='utf-8') as f: + grouped_data = json.load(f) + print(f"\nGrouped layout文件字段: {list(grouped_data.keys())}") + if 'bounds_top' in grouped_data: + print("✓ 包含bounds_top字段") + else: + print("✗ 缺少bounds_top字段") + if 'bounds_bottom' in grouped_data: + print("✓ 包含bounds_bottom字段") + else: + print("✗ 缺少bounds_bottom字段") + except Exception as e: + print(f"读取grouped layout文件错误: {e}") + else: + print("Grouped layout文件不存在") + +if __name__ == "__main__": + # 设置目录路径 + SCENES_DIR = "/home/v-meiszhang/amlt-project/respace/dataset-ssr3dfront/scenes" + GROUPED_LAYOUTS_DIR = "/home/v-meiszhang/amlt-project/respace/grouped_layouts_v2" + + # 示例文件名进行结构对比 + EXAMPLE_FILE = "0a8d471a-2587-458a-9214-586e003e9cf9-c944563d-1e2a-4ed0-9457-5a8f43c9f17c.json" + + print("步骤1: 显示文件结构对比") + show_file_structure_comparison(SCENES_DIR, GROUPED_LAYOUTS_DIR, EXAMPLE_FILE) + + print("\n" + "="*50) + print("步骤2: 开始整合bounds字段") + + # 执行整合 + integrate_bounds_fields(SCENES_DIR, GROUPED_LAYOUTS_DIR, backup=False) + + print("\n" + "="*50) + print("步骤3: 验证整合结果") + + # 验证结果 + verify_integration(GROUPED_LAYOUTS_DIR, sample_size=5) + + print("\n" + "="*50) + print("步骤4: 显示整合后的文件结构") + + # 再次显示结构对比以确认更改 + show_file_structure_comparison(SCENES_DIR, GROUPED_LAYOUTS_DIR, EXAMPLE_FILE) \ No newline at end of file diff --git a/eval/respace/tools/move_json_files.py b/eval/respace/tools/move_json_files.py new file mode 100644 index 0000000000000000000000000000000000000000..c6bade4528bf6bbc6af639f6e99bcd98528e37a5 --- /dev/null +++ b/eval/respace/tools/move_json_files.py @@ -0,0 +1,183 @@ +#!/usr/bin/env python3 +""" +脚本功能： +1. 从 eval/samples/respace/full/all-with-qwen1.5b-all-grpo-bon-1/json/3456 目录读取所有JSON文件 +2. 将每个JSON文件移动到 eval/viz/qwen7b_vs_respace 下对应的子目录中 +3. 在对应的子目录下创建 respace-instr 子子目录 +4. 将JSON文件复制到 respace-instr 子子目录中 + +目录结构： +源目录: eval/samples/respace/full/all-with-qwen1.5b-all-grpo-bon-1/json/3456/ +目标目录: eval/viz/qwen7b_vs_respace/{json文件名(不含扩展名)}/respace-instr/ +""" + +import os +import shutil +from pathlib import Path + +def move_json_files(): + """ + 将JSON文件从源目录移动到目标目录结构中 + """ + # 定义路径 + source_dir = Path("/home/v-meiszhang/amlt-project/respace/eval/samples/respace/full/all-with-qwen1.5b-all-grpo-bon-1/json/3456") + target_base_dir = Path("/home/v-meiszhang/amlt-project/respace/eval/viz/qwen7b_vs_respace") + + # 检查源目录是否存在 + if not source_dir.exists(): + print(f"❌ 源目录不存在: {source_dir}") + return False + + # 检查目标基础目录是否存在 + if not target_base_dir.exists(): + print(f"❌ 目标基础目录不存在: {target_base_dir}") + return False + + # 获取所有JSON文件 + json_files = list(source_dir.glob("*.json")) + + if not json_files: + print(f"❌ 在源目录中没有找到JSON文件: {source_dir}") + return False + + print(f"📂 源目录: {source_dir}") + print(f"📂 目标基础目录: {target_base_dir}") + print(f"📊 找到 {len(json_files)} 个JSON文件") + print("-" * 60) + + success_count = 0 + failed_count = 0 + skipped_count = 0 + + for json_file in json_files: + file_stem = json_file.stem # 文件名不含扩展名 + + # 目标子目录路径 + target_subdir = target_base_dir / file_stem + + # 检查目标子目录是否存在 + if not target_subdir.exists(): + print(f"⚠️ 跳过: {file_stem} (目标子目录不存在)") + skipped_count += 1 + continue + + # 创建 respace-instr 子子目录 + respace_instr_dir = target_subdir / "respace-instr" + + try: + # 确保 respace-instr 目录存在 + respace_instr_dir.mkdir(parents=True, exist_ok=True) + + # 目标文件路径 + target_file = respace_instr_dir / json_file.name + + # 复制文件（而不是移动，避免意外丢失） + shutil.copy2(json_file, target_file) + + print(f"✅ 成功: {file_stem}") + print(f" 源文件: {json_file}") + print(f" 目标文件: {target_file}") + success_count += 1 + + except Exception as e: + print(f"❌ 失败: {file_stem} - {e}") + failed_count += 1 + + # 打印统计结果 + print("-" * 60) + print(f"🎉 处理完成!") + print(f"✅ 成功处理: {success_count} 个文件") + print(f"⚠️ 跳过: {skipped_count} 个文件 (目标子目录不存在)") + print(f"❌ 失败: {failed_count} 个文件") + print(f"📊 总文件数: {len(json_files)}") + + if len(json_files) > 0: + print(f"📈 成功率: {success_count/len(json_files)*100:.1f}%") + + return success_count > 0 + +def preview_operations(): + """ + 预览操作，不实际执行文件操作 + """ + # 定义路径 + source_dir = Path("/home/v-meiszhang/amlt-project/respace/eval/respace-new-user-input/20250926_182831/scenes") + target_base_dir = Path("/home/v-meiszhang/amlt-project/respace/eval/viz/qwen7b_vs_respace") + + # 检查源目录是否存在 + if not source_dir.exists(): + print(f"❌ 源目录不存在: {source_dir}") + return + + # 获取所有JSON文件 + json_files = list(source_dir.glob("*.json")) + + if not json_files: + print(f"❌ 在源目录中没有找到JSON文件: {source_dir}") + return + + print(f"🔍 预览模式 - 将要执行的操作:") + print(f"📂 源目录: {source_dir}") + print(f"📂 目标基础目录: {target_base_dir}") + print(f"📊 共 {len(json_files)} 个JSON文件") + print("-" * 80) + + valid_count = 0 + invalid_count = 0 + + for i, json_file in enumerate(json_files[:10]): # 只显示前10个作为示例 + file_stem = json_file.stem + target_subdir = target_base_dir / file_stem + respace_instr_dir = target_subdir / "respace-new-user-input" + target_file = respace_instr_dir / json_file.name + + if target_subdir.exists(): + print(f"✅ [{i+1:3d}] {file_stem}") + print(f" 源: {json_file}") + print(f" 目标: {target_file}") + valid_count += 1 + else: + print(f"⚠️ [{i+1:3d}] {file_stem} (目标子目录不存在)") + invalid_count += 1 + + if len(json_files) > 10: + print(f" ... 还有 {len(json_files) - 10} 个文件") + + print("-" * 80) + print(f"📊 预计结果:") + print(f" ✅ 可以处理: {len([f for f in json_files if (target_base_dir / f.stem).exists()])} 个文件") + print(f" ⚠️ 无法处理: {len([f for f in json_files if not (target_base_dir / f.stem).exists()])} 个文件") + +def main(): + """主函数""" + import argparse + + parser = argparse.ArgumentParser(description="将JSON文件移动到对应的目录结构中") + parser.add_argument("--preview", "-p", action="store_true", help="预览模式，不实际执行操作") + parser.add_argument("--execute", "-e", action="store_true", help="执行实际的文件操作") + + args = parser.parse_args() + + if args.preview: + preview_operations() + elif args.execute: + move_json_files() + else: + print("请选择操作模式:") + print(" --preview 或 -p : 预览模式") + print(" --execute 或 -e : 执行模式") + print() + print("建议先运行预览模式查看操作:") + print(" python script.py --preview") + +if __name__ == "__main__": + # 可以直接调用函数进行测试 + print("🚀 开始处理JSON文件移动任务...") + + # 先预览 + print("\n=== 预览模式 ===") + preview_operations() + move_json_files() + + # 使用命令行参数 + # main() diff --git a/eval/respace/tools/render_and_evaluate_scenes_gt.py b/eval/respace/tools/render_and_evaluate_scenes_gt.py new file mode 100644 index 0000000000000000000000000000000000000000..7f288433348540a07ef965df61b10a76af4c0142 --- /dev/null +++ b/eval/respace/tools/render_and_evaluate_scenes_gt.py @@ -0,0 +1,877 @@ +#!/usr/bin/env python3 +""" +测试集评估专用脚本 - 优化版集成渲染和评估脚本 + +主要功能： +1. 根据split_mapping.json自动筛选测试集数据 +2. 并行处理多个场景 +3. 避免重复的assets采样 +4. 缓存机制 +5. 批量I/O操作 +6. 内存优化 + +性能改进： +- 支持根据数据集split筛选文件（默认处理test集） +- 并行处理提高评估效率 +- 智能缓存减少重复计算 + +作者: 基于 render_and_evaluate_scenes.py 优化 +""" + +import os +import json +import numpy as np +from collections import defaultdict +from pathlib import Path +import re +from datetime import datetime +from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor +import threading +import time +from functools import lru_cache +import hashlib + +# 导入必要的模块 +from src.respace import ReSpace +from src.eval import eval_scene +from src.sample import AssetRetrievalModule + +# 尝试加载环境变量文件（如果存在） +try: + from dotenv import load_dotenv + load_dotenv(".env") +except ImportError: + pass + +# 全局变量和锁 +respace = ReSpace() +_asset_sampling_engine = None +_engine_lock = threading.Lock() + +# 缓存split mapping数据 +_split_mapping_cache = None +_split_mapping_lock = threading.Lock() + +def load_split_mapping(split_mapping_path=None): + """加载split mapping文件，返回映射字典""" + global _split_mapping_cache, _split_mapping_lock + + if _split_mapping_cache is not None: + return _split_mapping_cache + + with _split_mapping_lock: + if _split_mapping_cache is not None: # 双重检查 + return _split_mapping_cache + + # 默认split mapping路径 + if split_mapping_path is None: + split_mapping_path = "/home/v-meiszhang/amlt-project/respace/dataset-ssr3dfront/splits/split_mapping.json" + + try: + with open(split_mapping_path, 'r', encoding='utf-8') as f: + split_data = json.load(f) + + _split_mapping_cache = split_data.get("mapping", {}) + print(f"✅ 成功加载split mapping: {len(_split_mapping_cache)} 个场景") + + # 统计各split数量 + split_counts = defaultdict(int) + for scene_id, split in _split_mapping_cache.items(): + split_counts[split] += 1 + + print(f"📊 Split统计: {dict(split_counts)}") + return _split_mapping_cache + + except Exception as e: + print(f"❌ 加载split mapping失败: {e}") + _split_mapping_cache = {} + return _split_mapping_cache + +def filter_json_files_by_split(json_files, target_split="test", split_mapping_path=None): + """ + 根据split mapping筛选JSON文件 + + Args: + json_files: JSON文件路径列表 + target_split: 目标split ("test", "train", "val") + split_mapping_path: split mapping文件路径（可选） + + Returns: + 筛选后的JSON文件列表 + """ + split_mapping = load_split_mapping(split_mapping_path) + + if not split_mapping: + print(f"⚠️ Split mapping为空，返回所有文件") + return json_files + + filtered_files = [] + not_found_count = 0 + + for json_file in json_files: + # 提取文件名（不含扩展名）作为scene_id + scene_id = json_file.stem if hasattr(json_file, 'stem') else Path(json_file).stem + + # 检查是否在split mapping中 + if scene_id in split_mapping: + file_split = split_mapping[scene_id] + if file_split == target_split: + filtered_files.append(json_file) + else: + not_found_count += 1 + + print(f"🔍 Split筛选结果:") + print(f" 目标split: {target_split}") + print(f" 原始文件数: {len(json_files)}") + print(f" 筛选后文件数: {len(filtered_files)}") + print(f" 未找到mapping的文件数: {not_found_count}") + + if not_found_count > 0: + print(f"⚠️ 有 {not_found_count} 个文件在split mapping中未找到") + + return filtered_files + +def get_asset_sampling_engine(): + """获取单例的资产采样引擎""" + global _asset_sampling_engine, _engine_lock + + if _asset_sampling_engine is None: + with _engine_lock: + if _asset_sampling_engine is None: # 双重检查 + try: + _asset_sampling_engine = AssetRetrievalModule( + lambd=0.5, + sigma=0.05, + temp=0.2, + top_p=0.95, + top_k=20, + asset_size_threshold=0.5, + rand_seed=1234, + dvc='cuda' if os.getenv('CUDA_VISIBLE_DEVICES') else 'cpu', + do_print=False + ) + except Exception as e: + print(f"⚠️ Assets 采样引擎初始化失败: {e}") + _asset_sampling_engine = None + + return _asset_sampling_engine + +@lru_cache(maxsize=128) +def compute_room_volume_cached(bounds_hash): + """缓存的房间体积计算""" + # 这里需要从hash恢复bounds数据，或者改用其他缓存策略 + return 10.0 # 简化版本 + +def compute_room_volume(bounds_top, bounds_bottom): + """计算房间体积""" + if not bounds_top or not bounds_bottom: + return 10.0 # 默认值 + + try: + bounds_top = np.array(bounds_top) + bounds_bottom = np.array(bounds_bottom) + + # 计算x和z方向的范围 + all_x = np.concatenate([bounds_top[:, 0], bounds_bottom[:, 0]]) + all_z = np.concatenate([bounds_top[:, 2], bounds_bottom[:, 2]]) + + x_range = np.max(all_x) - np.min(all_x) + z_range = np.max(all_z) - np.min(all_z) + floor_area = x_range * z_range + + # 房间高度 + avg_top_y = np.mean(bounds_top[:, 1]) + avg_bottom_y = np.mean(bounds_bottom[:, 1]) + room_height = abs(avg_top_y - avg_bottom_y) + + return max(floor_area * room_height, 0.1) + except: + return 10.0 + +def add_normalized_metrics(metrics, scene_data): + """为评估指标添加归一化版本""" + if not metrics or not scene_data: + return metrics + + # 计算房间体积 + room_volume = compute_room_volume( + scene_data.get("bounds_top"), + scene_data.get("bounds_bottom") + ) + + # 计算物体总体积 + objects = scene_data.get("objects", []) + total_objects_volume = 0 + for obj in objects: + size = obj.get("size", [1, 1, 1]) + if len(size) >= 3: + total_objects_volume += abs(size[0] * size[1] * size[2]) + + # 添加新指标 + metrics.update({ + 'room_volume': room_volume, + 'total_objects_volume': total_objects_volume, + 'normalized_oob_loss': metrics.get('total_oob_loss', 0) / room_volume, + 'normalized_mbl_loss': metrics.get('total_mbl_loss', 0) / room_volume, + 'normalized_pbl_loss': metrics.get('total_pbl_loss', 0) / room_volume, + 'conflict_percentage': (metrics.get('total_pbl_loss', 0) / room_volume) * 100, + 'space_utilization_percentage': (total_objects_volume / room_volume) * 100, + 'object_density': len(objects) / room_volume + }) + + return metrics + +def extract_answer_from_predict(predict_text): + """从predict文本中提取标签内的内容""" + if not predict_text: + return None + + try: + scene_data = json.loads(predict_text) + return scene_data + except Exception as e: + pass + + # 使用正则表达式提取之间的内容 + pattern = r'(.*?)' + match = re.search(pattern, predict_text, re.DOTALL) + + if not match: + # 尝试直接解析JSON + try: + scene_data = json.loads(predict_text) + return scene_data + except json.JSONDecodeError: + return None + + answer_content = match.group(1).strip() + + try: + # 尝试解析JSON + scene_data = json.loads(answer_content) + return scene_data + except json.JSONDecodeError as e: + return None + +def process_scene_data(scene_data, verbose=False): + """处理场景数据，统一格式""" + if not scene_data: + return None + + if "predict" in scene_data: + scene_data = scene_data["predict"] + # 提取字符串中和之间的信息 + try: + scene_data = extract_answer_from_predict(scene_data) + except: + return None + + if not scene_data: + return None + + # 处理房间包络 - 支持两种格式 + if "room_envelop" in scene_data: + envelop_data = scene_data["room_envelop"] + if isinstance(envelop_data, dict) and "bounds_top" in envelop_data and "bounds_bottom" in envelop_data: + scene_data["bounds_top"] = envelop_data["bounds_top"] + scene_data["bounds_bottom"] = envelop_data["bounds_bottom"] + elif "room_envelope" in scene_data: + envelope_data = scene_data["room_envelope"] + if isinstance(envelope_data, dict) and "bounds_top" in envelope_data and "bounds_bottom" in envelope_data: + scene_data["bounds_top"] = envelope_data["bounds_top"] + scene_data["bounds_bottom"] = envelope_data["bounds_bottom"] + + # 展平objects - 处理分组格式 + if "groups" in scene_data: + scene_data["objects"] = [] + for group in scene_data["groups"]: + if isinstance(group, dict) and "objects" in group: + group_objects = group["objects"] + if isinstance(group_objects, list): + scene_data["objects"].extend(group_objects) + + return scene_data + +def sample_assets_for_scene_optimized(scene_data, verbose=False): + """优化版的资产采样 - 避免重复采样""" + if not scene_data or not scene_data.get("objects"): + return scene_data + + # 检查是否已经有采样的资产 + has_sampled_assets = any( + obj.get("sampled_asset_jid") for obj in scene_data.get("objects", []) + ) + + if has_sampled_assets: + if verbose: + print(" 📌 场景已包含采样的资产，跳过重新采样") + return scene_data + + asset_sampling_engine = get_asset_sampling_engine() + if asset_sampling_engine is None: + return scene_data + + try: + # 使用 sample_all_assets 进行采样 + sampled_scene = asset_sampling_engine.sample_all_assets( + scene_data, + batch_size=64, + is_greedy_sampling=True + ) + return sampled_scene + except Exception as e: + if verbose: + print(f" ❌ Assets 采样失败: {e}") + return scene_data + +def render_scene_data_optimized(scene_data, output_dir, prefix="frame", verbose=False): + """优化版的场景渲染 - 避免重复采样""" + try: + # 如果已经有采样的资产，直接渲染，不再重新采样 + has_sampled_assets = any( + obj.get("sampled_asset_jid") for obj in scene_data.get("objects", []) + ) + + if has_sampled_assets: + # 直接渲染，不重新采样 + respace.render_scene_frame(scene_data, filename=prefix, pth_viz_output=output_dir) + else: + # 需要采样 + scene_alt = respace.resample_all_assets(scene_data, is_greedy_sampling=True) + respace.render_scene_frame(scene_alt, filename=prefix, pth_viz_output=output_dir) + + if verbose: + print(f" 🎨 场景渲染成功: {output_dir}/{prefix}") + return True + except Exception as e: + if verbose: + print(f" ❌ 渲染失败: {e}") + return False + +def evaluate_scene_data(scene_data, verbose=False): + """评估场景数据""" + try: + metrics = eval_scene(scene_data, is_debug=False) + + if metrics is not None: + # 添加归一化指标 + metrics = add_normalized_metrics(metrics, scene_data) + if verbose: + print(f" 📊 评估成功: {len(metrics)} 个指标") + return metrics + else: + if verbose: + print(" ❌ 评估失败: eval_scene 返回 None") + return None + + except Exception as e: + if verbose: + print(f" ❌ 评估失败: {e}") + return None + +def save_json_data_batch(data_list, output_dir, filename_prefix): + """批量保存JSON数据""" + try: + output_dir = Path(output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + + success_count = 0 + for i, data in enumerate(data_list): + if data is not None: + json_file = output_dir / f"{filename_prefix}_{i}.json" + with open(json_file, 'w', encoding='utf-8') as f: + json.dump(data, f, indent=2, ensure_ascii=False, default=str) + success_count += 1 + + return success_count + except Exception as e: + print(f"批量保存JSON数据失败: {e}") + return 0 + +def process_single_scene_optimized(json_path, output_base_dir, prefix, + do_render=True, do_evaluate=True, do_asset_sampling=True, + verbose=False): + """优化版的单个场景处理""" + json_file = Path(json_path) + file_stem = json_file.stem + + result = { + 'scene_name': file_stem, + 'render_success': False, + 'evaluate_success': False, + 'metrics': None, + 'error': None, + 'processing_time': 0 + } + + start_time = time.time() + + try: + # 读取JSON文件 + with open(json_file, 'r', encoding='utf-8') as f: + raw_scene_data = json.load(f) + + # 处理场景数据 + processed_scene_data = process_scene_data(raw_scene_data.copy(), verbose=verbose) + + if processed_scene_data is None: + result['error'] = "场景数据处理失败" + return result + + # 创建输出目录 + output_dir = output_base_dir / file_stem / prefix + output_dir.mkdir(parents=True, exist_ok=True) + + # 进行 3D Assets 采样 (如果启用且需要) + if do_asset_sampling: + processed_scene_data = sample_assets_for_scene_optimized( + processed_scene_data, + verbose=verbose + ) + + # 渲染场景 + if do_render: + result['render_success'] = render_scene_data_optimized( + processed_scene_data, + output_dir, + "frame", + verbose=verbose + ) + + # 评估场景 + if do_evaluate: + metrics = evaluate_scene_data(processed_scene_data, verbose=verbose) + if metrics is not None: + result['evaluate_success'] = True + result['metrics'] = metrics + + # 只保存最重要的数据文件，减少I/O + if result['metrics']: + json_file = output_dir / "evaluation_metrics.json" + with open(json_file, 'w', encoding='utf-8') as f: + json.dump(result['metrics'], f, indent=2, ensure_ascii=False, default=str) + + result['processing_time'] = time.time() - start_time + return result + + except Exception as e: + result['error'] = str(e) + result['processing_time'] = time.time() - start_time + if verbose: + print(f"❌ 处理场景 {file_stem} 时出错: {e}") + return result + +def render_and_evaluate_directory_parallel(input_dir, output_base_dir=None, prefix="processed", + do_asset_sampling=True, do_render=True, do_evaluate=True, + max_workers=4, verbose=True, target_split=None, + split_mapping_path=None): + """并行版本的批量处理目录""" + input_path = Path(input_dir) + + if not input_path.exists() or not input_path.is_dir(): + print(f"错误: 输入目录不存在或不是目录: {input_dir}") + return None + + # 创建输出基础目录 + if output_base_dir is None: + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + output_base_dir = Path(f"/home/v-meiszhang/amlt-project/respace/eval/viz/batch_process_{timestamp}") + else: + output_base_dir = Path(output_base_dir) + + output_base_dir.mkdir(parents=True, exist_ok=True) + + if verbose: + print(f"📂 输入目录: {input_dir}") + print(f"📂 输出基础目录: {output_base_dir}") + print(f"🔧 并行工作线程: {max_workers}") + print(f" 渲染: {'✅' if do_render else '❌'}") + print(f" 评估: {'✅' if do_evaluate else '❌'}") + print(f" Assets采样: {'✅' if do_asset_sampling else '❌'}") + + # 获取所有JSON文件 + json_files = list(input_path.glob("*.json")) + print(f"找到 {len(json_files)} 个JSON文件") + + if not json_files: + print("未找到任何JSON文件") + return None + + # 根据split筛选文件 + if target_split: + if verbose: + print(f"🔍 根据split筛选文件 (target_split: {target_split})...") + json_files = filter_json_files_by_split( + json_files, + target_split=target_split, + split_mapping_path=split_mapping_path + ) + + if not json_files: + print(f"❌ 在 {target_split} split中未找到任何文件") + return None + + # 预初始化资产采样引擎（如果需要） + if do_asset_sampling: + if verbose: + print("🔧 预初始化 3D Assets 采样引擎...") + engine = get_asset_sampling_engine() + if engine is not None: + print("✅ Assets 采样引擎初始化完成") + else: + print("⚠️ Assets 采样引擎初始化失败") + + # 并行处理所有文件 + results = [] + render_success_count = 0 + evaluate_success_count = 0 + total_failed = 0 + metrics_list = [] + + # 新增：统计优秀布局（total_oob_loss < 0.01 且 total_mbl_loss < 0.01） + excellent_layouts = [] + excellent_count = 0 + + start_time = time.time() + + def process_file_wrapper(json_file): + return process_single_scene_optimized( + json_file, + output_base_dir, + prefix, + do_render, + do_evaluate, + do_asset_sampling, + verbose=False # 在并行处理中关闭详细输出避免混乱 + ) + + with ThreadPoolExecutor(max_workers=max_workers) as executor: + # 提交所有任务 + future_to_file = { + executor.submit(process_file_wrapper, json_file): json_file + for json_file in json_files + } + + # 收集结果 + for i, future in enumerate(future_to_file): + json_file = future_to_file[future] + try: + result = future.result() + results.append(result) + + if result['error']: + total_failed += 1 + else: + if result['render_success']: + render_success_count += 1 + if result['evaluate_success']: + evaluate_success_count += 1 + if result['metrics']: + metrics_list.append(result['metrics']) + + # 检查是否为优秀布局（total_oob_loss < 0.01 且 total_mbl_loss < 0.01） + metrics = result['metrics'] + oob_loss = metrics.get('total_oob_loss', float('inf')) + mbl_loss = metrics.get('total_mbl_loss', float('inf')) + + if oob_loss < 0.01 and mbl_loss < 0.01: + excellent_count += 1 + excellent_layouts.append({ + 'filename': json_file.name, + 'scene_name': result.get('scene_name', json_file.stem), + 'total_oob_loss': oob_loss, + 'total_mbl_loss': mbl_loss, + 'conflict_percentage': metrics.get('conflict_percentage', 0), + 'space_utilization_percentage': metrics.get('space_utilization_percentage', 0), + 'object_density': metrics.get('object_density', 0) + }) + + # 进度报告 + if verbose and (i + 1) % 10 == 0: + elapsed = time.time() - start_time + rate = (i + 1) / elapsed + eta = (len(json_files) - i - 1) / rate if rate > 0 else 0 + print(f"📊 进度: {i+1}/{len(json_files)} ({(i+1)/len(json_files)*100:.1f}%) " + f"- 速度: {rate:.1f} 文件/秒 - 预计剩余: {eta:.0f}秒") + + except Exception as e: + print(f"处理文件 {json_file.name} 时出错: {e}") + results.append({ + 'scene_name': json_file.stem, + 'render_success': False, + 'evaluate_success': False, + 'metrics': None, + 'error': str(e), + 'processing_time': 0 + }) + total_failed += 1 + + total_time = time.time() - start_time + + # 计算平均指标 + avg_metrics = None + if metrics_list and do_evaluate: + avg_metrics = compute_average_metrics(metrics_list, verbose=False) + + # 创建统计摘要 + summary = { + 'total_files': len(json_files), + 'render_success_count': render_success_count, + 'evaluate_success_count': evaluate_success_count, + 'total_failed': total_failed, + 'render_success_rate': render_success_count / len(json_files) * 100 if len(json_files) > 0 else 0, + 'evaluate_success_rate': evaluate_success_count / len(json_files) * 100 if len(json_files) > 0 else 0, + 'total_processing_time': total_time, + 'average_time_per_file': total_time / len(json_files) if len(json_files) > 0 else 0, + 'files_per_second': len(json_files) / total_time if total_time > 0 else 0, + 'avg_metrics': avg_metrics, + 'all_results': results, + # 新增：优秀布局统计 + 'excellent_layouts_count': excellent_count, + 'excellent_layouts': excellent_layouts, + 'excellent_rate': excellent_count / evaluate_success_count * 100 if evaluate_success_count > 0 else 0 + } + + # 保存统计摘要 + try: + summary_file = output_base_dir / "processing_summary.json" + with open(summary_file, 'w', encoding='utf-8') as f: + json.dump(summary, f, indent=2, ensure_ascii=False, default=str) + + # 保存优秀布局列表到单独文件 + if excellent_layouts: + excellent_file = output_base_dir / "excellent_layouts.json" + with open(excellent_file, 'w', encoding='utf-8') as f: + json.dump({ + 'criteria': 'total_oob_loss < 0.01 AND total_mbl_loss < 0.01', + 'total_count': excellent_count, + 'total_evaluated': evaluate_success_count, + 'excellent_rate': excellent_count / evaluate_success_count * 100 if evaluate_success_count > 0 else 0, + 'layouts': excellent_layouts + }, f, indent=2, ensure_ascii=False, default=str) + + # 保存优秀布局文件名到纯文本文件 + excellent_txt_file = output_base_dir / "excellent_layouts_filenames.txt" + with open(excellent_txt_file, 'w', encoding='utf-8') as f: + f.write(f"# 优秀布局文件列表 (total_oob_loss < 0.01 AND total_mbl_loss < 0.01)\n") + f.write(f"# 总数: {excellent_count} / {evaluate_success_count} ({excellent_count / evaluate_success_count * 100 if evaluate_success_count > 0 else 0:.2f}%)\n") + f.write(f"# 生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n") + + for layout in excellent_layouts: + f.write(f"{layout['filename']}\n") + + if verbose: + print(f"✅ 优秀布局列表已保存:") + print(f" 详细信息: {excellent_file}") + print(f" 文件名列表: {excellent_txt_file}") + + except Exception as e: + print(f"保存统计摘要失败: {e}") + + # 打印统计结果 + if verbose: + print_processing_summary_optimized(summary) + + return summary + +def compute_average_metrics(metrics_list, verbose=True): + """计算指标列表的平均值""" + if not metrics_list: + return {} + + # 收集所有指标的值 + metric_values = defaultdict(list) + + for metrics in metrics_list: + if isinstance(metrics, dict): + for key, value in metrics.items(): + if isinstance(value, (int, float)) and not np.isnan(value): + metric_values[key].append(value) + + # 计算平均值、标准差、最大值、最小值 + avg_metrics = {} + + for metric_name, values in metric_values.items(): + if values: + avg_metrics[metric_name] = { + 'mean': np.mean(values), + 'std': np.std(values), + 'min': np.min(values), + 'max': np.max(values), + 'count': len(values) + } + + return avg_metrics + +def print_processing_summary_optimized(summary, top_n=10): + """打印优化版处理摘要""" + print("\n" + "="*70) + print("🎉 并行批量处理完成!") + print("="*70) + + # 打印统计信息 + print(f"📊 处理统计:") + print(f" 总文件数: {summary['total_files']}") + print(f" 渲染成功: {summary['render_success_count']}") + print(f" 评估成功: {summary['evaluate_success_count']}") + print(f" 失败: {summary['total_failed']}") + print(f" 渲染成功率: {summary['render_success_rate']:.1f}%") + print(f" 评估成功率: {summary['evaluate_success_rate']:.1f}%") + + # 优秀布局统计 + if 'excellent_layouts_count' in summary: + print(f"🌟 优秀布局统计:") + print(f" 条件: total_oob_loss < 0.01 AND total_mbl_loss < 0.01") + print(f" 优秀布局数: {summary['excellent_layouts_count']}") + print(f" 优秀率: {summary.get('excellent_rate', 0):.2f}%") + + # 显示前几个优秀布局的详细信息 + if summary.get('excellent_layouts'): + print(f" 前5个优秀布局:") + for i, layout in enumerate(summary['excellent_layouts'][:5]): + print(f" {i+1}. {layout['filename']} (OOB: {layout['total_oob_loss']:.4f}, MBL: {layout['total_mbl_loss']:.4f})") + + if len(summary['excellent_layouts']) > 5: + print(f" ... 还有 {len(summary['excellent_layouts']) - 5} 个") + print() + + # 打印性能统计 + print(f"⚡ 性能统计:") + print(f" 总处理时间: {summary['total_processing_time']:.1f} 秒") + print(f" 平均每文件: {summary['average_time_per_file']:.2f} 秒") + print(f" 处理速度: {summary['files_per_second']:.2f} 文件/秒") + print() + + # 打印平均指标 + if summary['avg_metrics']: + print("🎯 平均评估指标 (均值 ± 标准差):") + print("-" * 70) + + avg_metrics = summary['avg_metrics'] + + # 优先显示归一化指标 + priority_metrics = [ + 'conflict_percentage', 'space_utilization_percentage', 'object_density', + 'normalized_pbl_loss', 'normalized_mbl_loss', 'normalized_oob_loss', + 'room_volume', 'total_objects_volume' + ] + + print("📊 归一化指标:") + for metric_name in priority_metrics: + if metric_name in avg_metrics: + stats = avg_metrics[metric_name] + mean_val = stats['mean'] + std_val = stats['std'] + count = stats['count'] + + if 'percentage' in metric_name: + print(f" {metric_name:25s}: {mean_val:8.2f}% ± {std_val:8.2f}% (N={count})") + elif metric_name == 'object_density': + print(f" {metric_name:25s}: {mean_val:8.3f} 个/m³ ± {std_val:8.3f} (N={count})") + elif 'volume' in metric_name: + print(f" {metric_name:25s}: {mean_val:8.2f} m³ ± {std_val:8.2f} (N={count})") + else: + print(f" {metric_name:25s}: {mean_val:8.4f} ± {std_val:8.4f} (N={count})") + + print("\n📏 其他指标:") + remaining_metrics = {k: v for k, v in avg_metrics.items() if k not in priority_metrics} + sorted_remaining = sorted(remaining_metrics.items(), + key=lambda x: x[1]['mean'], reverse=True)[:top_n] + + for metric_name, stats in sorted_remaining: + mean_val = stats['mean'] + std_val = stats['std'] + count = stats['count'] + print(f" {metric_name:25s}: {mean_val:8.4f} ± {std_val:8.4f} (N={count})") + + print("="*70) + +def main(): + """主函数""" + import argparse + + parser = argparse.ArgumentParser(description="优化版渲染和评估JSON文件 - 专为测试集评估设计") + parser.add_argument("input_path", help="JSON文件路径或包含JSON文件的目录路径") + parser.add_argument("--output-dir", "-o", help="输出基础目录（可选，默认创建时间戳目录）") + parser.add_argument("--prefix", "-p", default="processed", help="输出子目录前缀") + parser.add_argument("--workers", "-w", type=int, default=4, help="并行工作线程数") + parser.add_argument("--split", "-s", default="test", choices=["test", "train", "val", "all"], + help="目标数据split（默认: test）") + parser.add_argument("--split-mapping", help="split mapping文件路径（可选）") + parser.add_argument("--no-render", action="store_true", help="跳过渲染步骤") + parser.add_argument("--no-evaluate", action="store_true", help="跳过评估步骤") + parser.add_argument("--no-asset-sampling", action="store_true", help="跳过3D Assets采样步骤") + parser.add_argument("--quiet", "-q", action="store_true", help="静默模式，不打印详细信息") + + args = parser.parse_args() + + input_path = Path(args.input_path) + + # 检查功能配置 + do_render = not args.no_render + do_evaluate = not args.no_evaluate + do_asset_sampling = not args.no_asset_sampling + verbose = not args.quiet + + if not do_render and not do_evaluate: + print("❌ 错误: 必须至少启用渲染或评估功能中的一个") + return + + # 只支持目录批量处理（单文件可以用原版脚本） + if input_path.is_dir(): + if verbose: + print(f"🚀 开始优化版并行批量处理...") + print(f"📂 输入目录: {args.input_path}") + print(f"📊 目标split: {args.split}") + + target_split = None if args.split == "all" else args.split + + summary = render_and_evaluate_directory_parallel( + args.input_path, + args.output_dir, + args.prefix, + do_asset_sampling, + do_render, + do_evaluate, + max_workers=args.workers, + verbose=verbose, + target_split=target_split, + split_mapping_path=args.split_mapping + ) + + else: + print(f"❌ 错误: 此优化版本只支持目录批量处理") + print(f"💡 单文件处理请使用原版 render_and_evaluate_scenes.py") + +# 示例用法 +if __name__ == "__main__": + # 可以直接调用的示例 + if len(os.sys.argv) == 1: + print("🚀 使用默认配置进行测试集评估...") + + # 配置参数 + input_directory = "/home/v-meiszhang/amlt-project/respace/dataset-ssr3dfront/scenes" + output_directory = "/home/v-meiszhang/amlt-project/respace/eval/viz/qwen7b_trainset" + prefix = "respace-new-user-input" + + # 执行并行批量处理 - 仅处理测试集 + summary = render_and_evaluate_directory_parallel( + input_directory, + output_directory, + prefix, + do_asset_sampling=False, # 启用3D assets采样 + do_render=False, # 跳过渲染（专注评估） + do_evaluate=True, # 启用评估 + max_workers=10, # 使用10个并行线程 + verbose=True, + target_split="train", # 仅处理测试集 + # split_mapping_path=None # 使用默认split mapping路径 + ) + + if summary: + print(f"\n🎯 测试集评估完成!") + print(f" 处理的测试集文件数: {summary['total_files']}") + print(f" 评估成功率: {summary['evaluate_success_rate']:.1f}%") + else: + # 使用命令行参数 + main() diff --git a/eval/respace/tools/test_prompt_selection.py b/eval/respace/tools/test_prompt_selection.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tools/asset_description/README_ASSET_DESCRIPTIONS.md b/tools/asset_description/README_ASSET_DESCRIPTIONS.md new file mode 100644 index 0000000000000000000000000000000000000000..b5ab41336ba68ba69409ff67a3282db5e3422b56 --- /dev/null +++ b/tools/asset_description/README_ASSET_DESCRIPTIONS.md @@ -0,0 +1,374 @@ +# Asset Description 处理系统 + +这是一个用于为3D资产自动生成描述字段的完整处理流程。系统会根据多视角渲染图像，使用GPT API生成准确的资产描述。 + +## 系统架构 + +### 核心模块 + +#### 1. `asset_description_manager.py` - 缓存管理 +- **功能**: 管理model_uid与description的映射关系 +- **特性**: + - JSON文件持久化存储，避免重复处理 + - 支持增量处理，已处理的资产自动跳过 + - 提供统计信息接口 + +**关键API**: +```python +manager = AssetDescriptionManager(cache_file="/path/to/cache.json") +manager.has_description(model_uid) # 检查是否已处理 +manager.get_description(model_uid) # 获取现有描述 +manager.set_description(model_uid, description, category, metadata) # 保存描述 +``` + +#### 2. `asset_finder.py` - 资产定位和渲染 +- **功能**: 根据model_uid查找GLB文件并生成多视角渲染图 +- **特性**: + - 支持多种资产库格式： + - `hssd-models/objects/hash` + - `partnet_mobility/uid` + - `objaverse/objaverse/uid` (多一级目录) + - `3D-FUTURE-model/xxx` + - 其他库格式 + - 自动查找.glb文件 + - 从uid_2_origin_cate.json获取资产类别 + +**关键API**: +```python +finder = AssetFinder(asset_library_dir) +asset_info = finder.find_asset_info(model_uid) +# 返回: {"model_uid": ..., "glb_path": ..., "category": ..., "found": bool} + +renderer = AssetRenderer() +images = renderer.render_asset_views(glb_path, output_dir, num_views=4) +``` + +#### 3. `gpt_description_generator.py` - GPT描述生成 +- **功能**: 调用OpenAI GPT API根据多视角图像生成描述 +- **特性**: + - 支持多张图像输入（限制4张以控制成本） + - 自动编码base64图像 + - 优化的prompt提示词 + - 降级方案（无API密钥时使用模板） + +**关键API**: +```python +generator = GPTDescriptionGenerator(api_key="sk-...") +description = generator.generate_description_from_images( + image_paths=["view1.png", "view2.png"], + category="chair" +) +``` + +#### 4. `process_asset_descriptions.py` - 主流程脚本 +- **功能**: 整合所有模块的完整处理流程 + +## 使用方式 + +### 前置条件 + +#### 1. 安装依赖 +```bash +pip install openai pillow # OpenAI SDK和图像处理库 +``` + +#### 2. 设置OpenAI API密钥 +```bash +export OPENAI_API_KEY="sk-your-api-key-here" +``` + +如果不设置，系统会使用模板描述进行降级处理（对于测试很有用）。 + +### 基本用法 + +#### 方式1: 处理单个场景 +```bash +cd /home/v-meiszhang/amlt-project/InternScenes + +python tools/process_asset_descriptions.py \ + --scene scene0000_00 \ + --base-dir /home/v-meiszhang/backup/datas/InternScenes/Layout_info/scannet \ + --asset-library /home/v-meiszhang/backup/datas/InternScenes/asset_library +``` + +#### 方式2: 处理所有ScanNet场景（建议先干运行） +```bash +# 先执行干运行，查看会处理哪些资产 +python tools/process_asset_descriptions.py \ + --base-dir /home/v-meiszhang/backup/datas/InternScenes/Layout_info/scannet \ + --asset-library /home/v-meiszhang/backup/datas/InternScenes/asset_library \ + --dry-run + +# 实际运行（会调用GPT API生成描述） +python tools/process_asset_descriptions.py \ + --base-dir /home/v-meiszhang/backup/datas/InternScenes/Layout_info/scannet \ + --asset-library /home/v-meiszhang/backup/datas/InternScenes/asset_library +``` + +#### 方式3: 使用自定义缓存文件 +```bash +python tools/process_asset_descriptions.py \ + --scene scene0000_00 \ + --cache-file /path/to/custom_cache.json \ + ... +``` + +### 命令行参数 + +``` +--base-dir 基础目录，包含所有场景文件夹 + 默认: /home/v-meiszhang/backup/datas/InternScenes/Layout_info/scannet + +--asset-library 资产库根目录 + 默认: /home/v-meiszhang/backup/datas/InternScenes/asset_library + +--cache-file 描述缓存文件路径 + 默认: tools/asset_descriptions.json + +--dry-run 干运行模式，不保存任何更改 + +--scene 处理单个场景（可选） + 示例: scene0000_00 +``` + +## 处理流程 + +``` +┌─────────────────────┐ +│ 加载Layout JSON │ +│ 提取model_uid │ +└──────────┬──────────┘ + │ + ▼ +┌──────────────────────┐ +│ 检查缓存中是否已 │ +│ 有该model_uid的描述 │──YES─→ 跳过，继续下一个 +└──────────┬───────────┘ + │ NO + ▼ +┌──────────────────────┐ +│ 查找对应的GLB文件 │ ──NOT FOUND──→ 记录为not_found，继续 +└──────────┬───────────┘ + │ FOUND + ▼ +┌──────────────────────┐ +│ 生成4视角渲染图像 │ +│ (render_to_image.py)│ +└──────────┬───────────┘ + │ + ▼ +┌──────────────────────┐ +│ 调用GPT API生成描述 │ +│ (vision-gpt-4) │ +└──────────┬───────────┘ + │ + ▼ +┌──────────────────────┐ +│ 保存到缓存 │ +│ 更新Layout JSON │ +└──────────────────────┘ +``` + +## 数据结构 + +### 缓存文件格式 (asset_descriptions.json) +```json +{ + "hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355": { + "description": "A digital scale with white platform and digital display", + "category": "scale", + "metadata": { + "glb_path": "/path/to/asset/model.glb" + } + }, + "partnet_mobility/7290": { + "description": "A stainless steel kitchen oven with multiple control knobs", + "category": "oven", + "metadata": {} + } +} +``` + +### 更新后的Layout格式 +```json +{ + "instances": [ + { + "id": 1, + "category": "scale", + "model_uid": "hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355", + "description": "A digital scale with white platform and digital display", + "pos": [1.6, -1.85, 0.02], + "size": [0.33, 0.38, 0.05], + "rot": [-0.69, 0.0, 0.01] + } + ] +} +``` + +## 特殊配置 + +### 处理objaverse资产 +objaverse资产有两级目录结构： +``` +asset_library/ + objaverse/ + objaverse/ + {uid}/ + model.glb +``` + +系统会自动检测并处理这种情况。 + +### 资产库支持的类型 + +系统自动支持以下资产库格式： +- `hssd-models/`: HSSD模型库 +- `partnet_mobility/`: PartNet Mobility家具库 +- `objaverse/objaverse/`: Objaverse通用3D模型库 +- `3D-FUTURE-model/`: 3D-FUTURE家具库 +- `gr100/`: 其他模型库 +- `gen_assets/`: 生成的资产 + +## 成本估算 + +### GPT API调用成本 +- 模型: GPT-4 Vision +- 图像数量: 每个资产4张（512x512） +- 成本: ~0.01美元/个资产 +- 对于1000个独特资产: ~10美元 + +### 优化方案 +1. **复用描述**: 缓存机制确保同一model_uid只处理一次 +2. **批量处理**: 可以设置`--batch-size`参数分批处理 +3. **增量处理**: 系统自动跳过已处理的资产 + +## 故障排查 + +### 问题1: "OPENAI_API_KEY not provided" +**解决方案**: +```bash +export OPENAI_API_KEY="sk-your-key" +python ... +``` + +或直接在命令中设置： +```bash +OPENAI_API_KEY="sk-your-key" python tools/process_asset_descriptions.py ... +``` + +### 问题2: "GLB file not found" +- 检查资产库路径是否正确 +- 验证model_uid格式是否匹配 +- 对于objaverse资产，确保目录结构正确 + +### 问题3: 渲染超时 +- 某些复杂模型的渲染可能超时（30秒限制） +- 检查render_to_image.py是否正确配置 +- 可以增加timeout参数（如果支持） + +### 问题4: 描述不准确 +- 确保有足够的多视角图像（4张） +- 检查图像质量（512x512可能太小） +- 调整GPT prompt提示词以获得更好结果 + +## 高级用法 + +### 1. 查看缓存统计 +```python +from tools.asset_description_manager import AssetDescriptionManager + +manager = AssetDescriptionManager() +stats = manager.get_stats() +print(f"Total cached: {stats['total_assets']}") + +# 查看所有描述 +all_desc = manager.get_all_descriptions() +for uid, info in all_desc.items(): + print(f"{uid}: {info['description']}") +``` + +### 2. 手动添加描述 +```python +manager = AssetDescriptionManager() +manager.set_description( + model_uid="hssd-models/objects/8/xxx", + description="Custom description here", + category="custom_category" +) +``` + +### 3. 导出为CSV +```python +import csv +from tools.asset_description_manager import AssetDescriptionManager + +manager = AssetDescriptionManager() +with open('descriptions.csv', 'w', newline='') as f: + writer = csv.writer(f) + writer.writerow(['model_uid', 'category', 'description']) + for uid, info in manager.cache.items(): + writer.writerow([uid, info['category'], info['description']]) +``` + +## 输出示例 + +``` +Processing: /path/to/scene0000_00/layout.json +Found 42 instances with 38 unique model UIDs + +[1/38] Processing model_uid: hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355 + Found GLB: /path/to/asset_library/hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355/model.glb + Rendering views... + Generated 4 views + ✓ Description: A digital scale with white platform and display screen... + +[2/38] Processing model_uid: partnet_mobility/7290 + ✓ Already processed: A stainless steel kitchen oven with multiple... + +... + +✓ Updated layout file: /path/to/scene0000_00/layout.json + +============================================================ +SUMMARY +============================================================ +Scenes processed: 1/1 +Total instances: 42 +Unique UIDs: 38 +Already processed: 15 +Newly processed: 20 +Not found: 3 +Errors: 0 + +Description cache: tools/asset_descriptions.json +Total cached: 150 +``` + +## 后续集成 + +### 与向量数据库集成 +```python +from tools.asset_description_manager import AssetDescriptionManager +from embeddings import embed_text # 你的embedding库 + +manager = AssetDescriptionManager() +for uid, info in manager.cache.items(): + embedding = embed_text(info['description']) + # 保存到向量数据库... +``` + +### 与搜索系统集成 +描述被集成到layout.json后，可以： +1. 构建描述的向量表示 +2. 构建关键词索引 +3. 实现基于描述的资产检索 + +## 许可证和属性 + +此系统依赖： +- OpenAI GPT-4 Vision API +- render_to_image.py（项目内部） +- 各类资产库（HSSD、PartNet、Objaverse等） + +请确保遵守各资产库的许可证要求。 diff --git a/tools/asset_description/__init__.py b/tools/asset_description/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tools/asset_description/asset_description_manager.py b/tools/asset_description/asset_description_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..9fcd56f23adc5fefbafbbc9327ac24e39d1552fb --- /dev/null +++ b/tools/asset_description/asset_description_manager.py @@ -0,0 +1,92 @@ +#!/usr/bin/env python3 +""" +Asset Description Manager +管理3D资产的描述缓存，避免重复处理同一model_uid +""" + +import json +import os +from pathlib import Path +from typing import Dict, Optional + + +class AssetDescriptionManager: + """缓存管理器：存储model_uid到description的映射""" + + def __init__(self, cache_file: str = None): + """ + 初始化管理器 + + Args: + cache_file: 缓存文件路径，默认为tools目录下的asset_descriptions.json + """ + if cache_file is None: + # Priority: environment variable > default path + cache_file = os.environ.get('PTH_ASSET_DESCRIPTIONS') + if not cache_file: + script_dir = Path(__file__).parent + cache_file = os.path.join(script_dir, "asset_descriptions.json") + + self.cache_file = cache_file + self.cache: Dict[str, Dict] = self._load_cache() + + def _load_cache(self) -> Dict[str, Dict]: + """从文件加载缓存""" + if os.path.exists(self.cache_file): + try: + with open(self.cache_file, 'r', encoding='utf-8') as f: + return json.load(f) + except (json.JSONDecodeError, IOError) as e: + print(f"Warning: Failed to load cache from {self.cache_file}: {e}") + return {} + return {} + + def _save_cache(self): + """保存缓存到文件""" + os.makedirs(os.path.dirname(self.cache_file), exist_ok=True) + with open(self.cache_file, 'w', encoding='utf-8') as f: + json.dump(self.cache, f, ensure_ascii=False, indent=2) + + def has_description(self, model_uid: str) -> bool: + """检查是否已有该model_uid的描述""" + return model_uid in self.cache + + def get_description(self, model_uid: str) -> Optional[str]: + """获取model_uid的描述""" + if model_uid in self.cache: + return self.cache[model_uid].get("description") + return None + + def set_description(self, model_uid: str, description: str, + category: str = None, metadata: Dict = None): + """ + 保存model_uid的描述 + + Args: + model_uid: 资产ID + description: 资产描述 + category: 资产类别 + metadata: 其他元数据 + """ + self.cache[model_uid] = { + "description": description, + "category": category, + "metadata": metadata or {} + } + self._save_cache() + + def get_all_descriptions(self) -> Dict[str, Dict]: + """获取所有描述""" + return self.cache.copy() + + def get_stats(self) -> Dict: + """获取统计信息""" + return { + "total_assets": len(self.cache), + "cache_file": self.cache_file + } + + +if __name__ == "__main__": + manager = AssetDescriptionManager() + print(f"Cache stats: {manager.get_stats()}") diff --git a/tools/asset_description/asset_embedding_manager.py b/tools/asset_description/asset_embedding_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..d3f9fb69c89b23849cc59b6f310ea9764803383a --- /dev/null +++ b/tools/asset_description/asset_embedding_manager.py @@ -0,0 +1,465 @@ +#!/usr/bin/env python3 +""" +Asset Embedding Manager + +使用 CLIP 模型将 3D 资产的文本描述转换为 embeddings， +用于后续的资产检索。 +""" + +import os +import json +import numpy as np +from pathlib import Path +from typing import Dict, List, Optional, Tuple, Union +import pickle + +# 尝试导入 CLIP 相关库 +HAS_CLIP = False +try: + import torch + import clip + HAS_CLIP = True +except ImportError: + pass + +# 备选: 尝试使用 sentence-transformers +HAS_SENTENCE_TRANSFORMERS = False +try: + from sentence_transformers import SentenceTransformer + HAS_SENTENCE_TRANSFORMERS = True +except ImportError: + pass + + +class AssetEmbeddingManager: + """管理 3D 资产描述的 embeddings""" + + def __init__( + self, + embeddings_file: str = None, + model_name: str = "ViT-B/32", + device: str = None + ): + """ + 初始化 Embedding 管理器 + + Args: + embeddings_file: embeddings 存储文件路径 + model_name: CLIP 模型名称 + device: 计算设备 (cuda/cpu) + """ + if embeddings_file is None: + # Priority: environment variable > default path + embeddings_file = os.environ.get('PTH_ASSET_EMBEDDINGS') + if not embeddings_file: + embeddings_file = os.path.join( + os.path.dirname(__file__), + "..", + "asset_embeddings.pkl" + ) + + self.embeddings_file = embeddings_file + self.model_name = model_name + + # 设置设备 + if device is None: + if HAS_CLIP: + import torch + device = "cuda" if torch.cuda.is_available() else "cpu" + else: + device = "cpu" + self.device = device + + # 加载或初始化 embeddings + self.embeddings: Dict[str, np.ndarray] = {} + self.model = None + self.preprocess = None + + self._load_embeddings() + + def _load_embeddings(self): + """加载已存储的 embeddings""" + if os.path.exists(self.embeddings_file): + try: + with open(self.embeddings_file, 'rb') as f: + data = pickle.load(f) + self.embeddings = data.get('embeddings', {}) + # 确保 embeddings 是 numpy 数组 + for k, v in self.embeddings.items(): + if not isinstance(v, np.ndarray): + self.embeddings[k] = np.array(v) + print(f"✓ Loaded {len(self.embeddings)} embeddings from {self.embeddings_file}") + except Exception as e: + print(f"Warning: Failed to load embeddings: {e}") + self.embeddings = {} + else: + print(f"No existing embeddings file found at {self.embeddings_file}") + + def _save_embeddings(self): + """保存 embeddings 到文件""" + try: + os.makedirs(os.path.dirname(self.embeddings_file), exist_ok=True) + with open(self.embeddings_file, 'wb') as f: + pickle.dump({ + 'embeddings': self.embeddings, + 'model_name': self.model_name, + 'embedding_dim': self.get_embedding_dim() + }, f) + print(f"✓ Saved {len(self.embeddings)} embeddings to {self.embeddings_file}") + except Exception as e: + print(f"Error saving embeddings: {e}") + + def _load_model(self): + """加载 CLIP 模型""" + if self.model is not None: + return True + + if HAS_CLIP: + try: + import torch + print(f"Loading CLIP model: {self.model_name} on {self.device}...") + self.model, self.preprocess = clip.load(self.model_name, device=self.device) + print(f"✓ CLIP model loaded successfully") + return True + except Exception as e: + print(f"Error loading CLIP model: {e}") + + if HAS_SENTENCE_TRANSFORMERS: + try: + print("Loading sentence-transformers model as fallback...") + self.model = SentenceTransformer('clip-ViT-B-32-multilingual-v1') + print(f"✓ Sentence-transformers model loaded") + return True + except Exception as e: + print(f"Error loading sentence-transformers: {e}") + + print("Error: No embedding model available. Install clip or sentence-transformers.") + return False + + def encode_text(self, text: str) -> Optional[np.ndarray]: + """ + 将文本编码为 embedding + + Args: + text: 输入文本 + + Returns: + embedding 向量 (numpy array) + """ + if not self._load_model(): + return None + + try: + if HAS_CLIP and hasattr(self.model, 'encode_text'): + import torch + with torch.no_grad(): + text_tokens = clip.tokenize([text], truncate=True).to(self.device) + text_features = self.model.encode_text(text_tokens) + # 归一化 + text_features = text_features / text_features.norm(dim=-1, keepdim=True) + return text_features.cpu().numpy().flatten() + + elif HAS_SENTENCE_TRANSFORMERS: + embedding = self.model.encode(text, normalize_embeddings=True) + return np.array(embedding) + + except Exception as e: + print(f"Error encoding text: {e}") + return None + + def encode_texts_batch(self, texts: List[str], batch_size: int = 32) -> List[np.ndarray]: + """ + 批量编码文本 + + Args: + texts: 文本列表 + batch_size: 批次大小 + + Returns: + embedding 列表 + """ + if not self._load_model(): + return [None] * len(texts) + + all_embeddings = [] + + try: + if HAS_CLIP and hasattr(self.model, 'encode_text'): + import torch + for i in range(0, len(texts), batch_size): + batch = texts[i:i + batch_size] + with torch.no_grad(): + text_tokens = clip.tokenize(batch, truncate=True).to(self.device) + text_features = self.model.encode_text(text_tokens) + text_features = text_features / text_features.norm(dim=-1, keepdim=True) + batch_embeddings = text_features.cpu().numpy() + all_embeddings.extend([emb for emb in batch_embeddings]) + + elif HAS_SENTENCE_TRANSFORMERS: + embeddings = self.model.encode(texts, normalize_embeddings=True, batch_size=batch_size) + all_embeddings = [emb for emb in embeddings] + + except Exception as e: + print(f"Error batch encoding texts: {e}") + return [None] * len(texts) + + return all_embeddings + + def get_embedding(self, model_uid: str) -> Optional[np.ndarray]: + """获取指定资产的 embedding""" + return self.embeddings.get(model_uid) + + def set_embedding(self, model_uid: str, embedding: np.ndarray): + """设置指定资产的 embedding""" + self.embeddings[model_uid] = embedding + + def has_embedding(self, model_uid: str) -> bool: + """检查是否有指定资产的 embedding""" + return model_uid in self.embeddings + + def get_embedding_dim(self) -> int: + """获取 embedding 维度""" + if self.embeddings: + first_emb = next(iter(self.embeddings.values())) + return len(first_emb) + return 512 # CLIP ViT-B/32 默认维度 + + def search_similar( + self, + query: Union[str, np.ndarray], + top_k: int = 10, + threshold: float = 0.0 + ) -> List[Tuple[str, float]]: + """ + 搜索与查询最相似的资产 + + Args: + query: 查询文本或 embedding + top_k: 返回前 k 个结果 + threshold: 相似度阈值 + + Returns: + [(model_uid, similarity_score), ...] + """ + if not self.embeddings: + print("No embeddings available for search") + return [] + + # 获取查询 embedding + if isinstance(query, str): + query_emb = self.encode_text(query) + if query_emb is None: + return [] + else: + query_emb = query + + # 计算相似度 + results = [] + for model_uid, emb in self.embeddings.items(): + similarity = np.dot(query_emb, emb) + if similarity >= threshold: + results.append((model_uid, float(similarity))) + + # 排序并返回 top_k + results.sort(key=lambda x: x[1], reverse=True) + return results[:top_k] + + def build_embeddings_from_descriptions( + self, + descriptions_file: str = None, + batch_size: int = 32, + save_interval: int = 100 + ) -> Dict[str, int]: + """ + 从描述文件构建 embeddings + + Args: + descriptions_file: 描述文件路径 (asset_descriptions.json) + batch_size: 批处理大小 + save_interval: 每处理多少个保存一次 + + Returns: + 统计信息 + """ + if descriptions_file is None: + descriptions_file = os.path.join( + os.path.dirname(__file__), + "asset_descriptions.json" + ) + + if not os.path.exists(descriptions_file): + print(f"Error: Descriptions file not found: {descriptions_file}") + return {"error": "file_not_found"} + + # 加载描述 + with open(descriptions_file, 'r', encoding='utf-8') as f: + descriptions = json.load(f) + + print(f"Loaded {len(descriptions)} descriptions from {descriptions_file}") + + # 过滤已有 embedding 的 + to_process = [] + for model_uid, info in descriptions.items(): + if not self.has_embedding(model_uid): + desc = info.get('description', '') if isinstance(info, dict) else info + if desc: + to_process.append((model_uid, desc)) + + print(f"Already have embeddings: {len(descriptions) - len(to_process)}") + print(f"To process: {len(to_process)}") + + if not to_process: + print("All descriptions already have embeddings!") + return { + "total": len(descriptions), + "existing": len(descriptions), + "processed": 0 + } + + # 批量处理 + stats = {"total": len(descriptions), "existing": len(descriptions) - len(to_process), "processed": 0, "failed": 0} + + model_uids = [x[0] for x in to_process] + texts = [x[1] for x in to_process] + + print(f"\nEncoding {len(texts)} descriptions...") + + for i in range(0, len(texts), batch_size): + batch_uids = model_uids[i:i + batch_size] + batch_texts = texts[i:i + batch_size] + + embeddings = self.encode_texts_batch(batch_texts, batch_size=batch_size) + + for uid, emb in zip(batch_uids, embeddings): + if emb is not None: + self.set_embedding(uid, emb) + stats["processed"] += 1 + else: + stats["failed"] += 1 + + # 进度显示 + processed = min(i + batch_size, len(texts)) + print(f" Progress: {processed}/{len(texts)} ({100*processed/len(texts):.1f}%)") + + # 定期保存 + if (i + batch_size) % save_interval < batch_size: + self._save_embeddings() + + # 最终保存 + self._save_embeddings() + + print(f"\n✓ Embedding generation complete!") + print(f" Total descriptions: {stats['total']}") + print(f" Already had embeddings: {stats['existing']}") + print(f" Newly processed: {stats['processed']}") + print(f" Failed: {stats['failed']}") + + return stats + + def get_stats(self) -> Dict: + """获取统计信息""" + return { + "total_embeddings": len(self.embeddings), + "embedding_dim": self.get_embedding_dim(), + "embeddings_file": self.embeddings_file, + "model_name": self.model_name, + "device": self.device + } + + +def main(): + """主函数 - 从 asset_descriptions.json 生成 embeddings""" + import argparse + + parser = argparse.ArgumentParser( + description="Generate CLIP embeddings for asset descriptions" + ) + + parser.add_argument( + "--descriptions", + default=os.path.join(os.path.dirname(__file__), "asset_descriptions.json"), + help="Path to asset_descriptions.json" + ) + + parser.add_argument( + "--output", + default=os.path.join(os.path.dirname(__file__), "asset_embeddings.pkl"), + help="Path to save embeddings" + ) + + parser.add_argument( + "--model", + default="ViT-B/32", + help="CLIP model name (default: ViT-B/32)" + ) + + parser.add_argument( + "--batch-size", + type=int, + default=32, + help="Batch size for encoding" + ) + + parser.add_argument( + "--device", + choices=["cuda", "cpu"], + default=None, + help="Device to use (default: auto-detect)" + ) + + parser.add_argument( + "--search", + type=str, + help="Search for similar assets using this query" + ) + + parser.add_argument( + "--top-k", + type=int, + default=10, + help="Number of results to return for search" + ) + + args = parser.parse_args() + + # 检查依赖 + if not HAS_CLIP and not HAS_SENTENCE_TRANSFORMERS: + print("Error: No embedding model available.") + print("Please install one of the following:") + print(" pip install torch clip") + print(" or") + print(" pip install sentence-transformers") + return 1 + + # 初始化管理器 + manager = AssetEmbeddingManager( + embeddings_file=args.output, + model_name=args.model, + device=args.device + ) + + if args.search: + # 搜索模式 + print(f"\nSearching for: {args.search}") + results = manager.search_similar(args.search, top_k=args.top_k) + + if results: + print(f"\nTop {len(results)} results:") + for i, (uid, score) in enumerate(results, 1): + print(f" {i}. [{score:.4f}] {uid}") + else: + print("No results found.") + else: + # 生成 embeddings + stats = manager.build_embeddings_from_descriptions( + descriptions_file=args.descriptions, + batch_size=args.batch_size + ) + + print(f"\nFinal stats: {manager.get_stats()}") + + return 0 + + +if __name__ == "__main__": + exit(main()) diff --git a/tools/asset_description/asset_finder.py b/tools/asset_description/asset_finder.py new file mode 100644 index 0000000000000000000000000000000000000000..c3310c39f1af779c568b6e4435f03030dbef0055 --- /dev/null +++ b/tools/asset_description/asset_finder.py @@ -0,0 +1,227 @@ +#!/usr/bin/env python3 +""" +Asset Finder and Renderer +根据model_uid查找GLB文件并生成多视角渲染图 +""" + +import os +import json +from pathlib import Path +from typing import Optional, Tuple +import subprocess +import tempfile + + +class AssetFinder: + """查找资产文件的工具类""" + + def __init__(self, asset_library_dir: str): + """ + 初始化查找器 + + Args: + asset_library_dir: 资产库根目录 + """ + self.asset_library_dir = asset_library_dir + + def find_glb_path(self, model_uid: str) -> Optional[str]: + """ + 根据model_uid查找GLB文件路径 + + 支持的格式： + - hssd-models/objects/x/hash -> hssd-models/objects/x/hash/hash.glb + - partnet_mobility/uid -> partnet_mobility/uid/whole.glb + - objaverse/uid -> objaverse/objaverse/uid.glb (多一级目录) + - 3D-FUTURE-model/xxx + - gen_assets/xxx + - gr100/xxx + + Args: + model_uid: 资产ID + + Returns: + GLB文件的绝对路径，如果未找到返回None + """ + # 处理不同类型的资产 + + # 1. objaverse 资产 - 需要特殊处理 (objaverse/uid -> objaverse/objaverse/uid.glb) + if model_uid.startswith("objaverse/"): + # 提取 uid 部分 + uid_part = model_uid.replace("objaverse/", "") + # 如果uid_part还包含objaverse/，说明已经是完整路径 + if uid_part.startswith("objaverse/"): + glb_path = os.path.join(self.asset_library_dir, model_uid + ".glb") + else: + glb_path = os.path.join(self.asset_library_dir, "objaverse", "objaverse", uid_part + ".glb") + + if os.path.exists(glb_path): + return glb_path + + # 2. partnet_mobility 资产 - 使用 whole.glb + if model_uid.startswith("partnet_mobility/"): + base_path = os.path.join(self.asset_library_dir, model_uid) + glb_path = os.path.join(base_path, "whole.glb") + if os.path.exists(glb_path): + return glb_path + + # 3. hssd-models 资产 - 使用 hash.glb + if model_uid.startswith("hssd-models/"): + base_path = os.path.join(self.asset_library_dir, model_uid) + # 获取最后一级目录名作为 GLB 文件名 + hash_name = os.path.basename(model_uid.rstrip('/')) + glb_path = os.path.join(base_path, hash_name + ".glb") + if os.path.exists(glb_path): + return glb_path + + # 4. gr100, gen_assets, 3D-FUTURE-model 等资产 + base_path = os.path.join(self.asset_library_dir, model_uid) + + # 尝试不同的GLB文件名 + possible_names = [ + "model.glb", + "model_normalized.glb", + "whole.glb", + os.path.basename(model_uid.rstrip('/')) + ".glb", + ] + + # 尝试直接查找GLB文件 + if os.path.exists(base_path) and base_path.endswith('.glb'): + return base_path + + # 尝试在目录中查找GLB文件 + if os.path.isdir(base_path): + for name in possible_names: + glb_path = os.path.join(base_path, name) + if os.path.exists(glb_path): + return glb_path + + # 列出目录内容，查找任何.glb文件 + try: + for file in os.listdir(base_path): + if file.endswith('.glb'): + return os.path.join(base_path, file) + except PermissionError: + pass + + # 尝试直接当做glb路径 + full_glb_path = os.path.join(self.asset_library_dir, model_uid + ".glb") + if os.path.exists(full_glb_path): + return full_glb_path + + return None + + def find_asset_info(self, model_uid: str) -> dict: + """ + 查找资产的详细信息 + + Returns: + 包含glb_path, category等信息的字典 + """ + glb_path = self.find_glb_path(model_uid) + + # 尝试从uid_2_origin_cate.json获取类别 + category = None + cate_file = os.path.join(self.asset_library_dir, "uid_2_origin_cate.json") + if os.path.exists(cate_file): + try: + with open(cate_file, 'r') as f: + cate_mapping = json.load(f) + category = cate_mapping.get(model_uid) + except (json.JSONDecodeError, IOError): + pass + + return { + "model_uid": model_uid, + "glb_path": glb_path, + "category": category, + "found": glb_path is not None + } + + +class AssetRenderer: + """资产渲染工具""" + + def __init__(self, render_script_dir: str = None): + """ + 初始化渲染器 + + Args: + render_script_dir: 包含render_to_image.py的目录 + """ + if render_script_dir is None: + render_script_dir = Path(__file__).parent.parent + self.render_script_dir = render_script_dir + self.render_script = os.path.join(render_script_dir, "render_to_image.py") + + def render_asset_views(self, glb_path: str, output_dir: str, + num_views: int = 4, width: int = 512, + height: int = 512) -> list: + """ + 生成资产的多视角渲染图 + + Args: + glb_path: GLB文件路径 + output_dir: 输出目录 + num_views: 视角数量 + width: 图像宽度 + height: 图像高度 + + Returns: + 生成的图像路径列表 + """ + if not os.path.exists(glb_path): + raise FileNotFoundError(f"GLB file not found: {glb_path}") + + os.makedirs(output_dir, exist_ok=True) + + output_paths = [] + + # 生成不同视角的图像 + for view_idx in range(num_views): + angle = (view_idx / num_views) * 360 # 均匀分布的角度 + output_image = os.path.join(output_dir, f"view_{view_idx:02d}.png") + + try: + # 使用render_to_image.py进行渲染 + cmd = [ + "python", self.render_script, + glb_path, output_image, + "--width", str(width), + "--height", str(height), + ] + + result = subprocess.run(cmd, capture_output=True, text=True, timeout=60) + + if result.returncode == 0 and os.path.exists(output_image): + output_paths.append(output_image) + else: + print(f"Warning: Rendering view {view_idx} failed: {result.stderr}") + except subprocess.TimeoutExpired: + print(f"Warning: Rendering view {view_idx} timed out") + except Exception as e: + print(f"Warning: Error rendering view {view_idx}: {e}") + + return output_paths + + +if __name__ == "__main__": + import sys + + # 测试查找 + asset_lib = "/home/v-meiszhang/amlt-project/InternScenes/data/asset_library" + finder = AssetFinder(asset_lib) + + # 测试几个model_uid + test_uids = [ + "hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355", + "partnet_mobility/7290", + ] + + for uid in test_uids: + info = finder.find_asset_info(uid) + # print(f"UID: {uid}") + # print(f" Found: {info['found']}") + # if info['found']: + # print(f" GLB Path: {info['glb_path']}") + # print(f" Category: {info['category']}") + # print() diff --git a/tools/asset_description/blender_asset_renderer.py b/tools/asset_description/blender_asset_renderer.py new file mode 100644 index 0000000000000000000000000000000000000000..e118818038550670719ce76bcb18c4ba8b4f996b --- /dev/null +++ b/tools/asset_description/blender_asset_renderer.py @@ -0,0 +1,329 @@ +#!/usr/bin/env python3 +""" +Blender-based multi-view asset renderer for 3D assets. +This script should be run with Blender's Python or the bpy package. + +Usage: + blender --background --python blender_asset_renderer.py -- --input model.glb --output-dir ./renders --num-views 4 + +Or with bpy package: + python blender_asset_renderer.py --input model.glb --output-dir ./renders --num-views 4 +""" + +from __future__ import annotations + +import argparse +import math +import os +import sys +from typing import List, Tuple + +try: + import bpy + from mathutils import Matrix, Vector + HAS_BPY = True +except ImportError: + HAS_BPY = False + print("Warning: bpy not available. This script requires Blender.") + + +def reset_scene() -> None: + """Start from a clean Blender state.""" + bpy.ops.wm.read_factory_settings(use_empty=True) + + +def import_glb(filepath: str) -> List: + """Import GLB file and return imported objects.""" + if not os.path.exists(filepath): + raise FileNotFoundError(f"Input GLB not found: {filepath}") + + reset_scene() + bpy.ops.import_scene.gltf(filepath=filepath) + imported = list(bpy.context.selected_objects) + if not imported: + raise RuntimeError(f"No objects imported from {filepath}") + return imported + + +def compute_bounds(objects) -> Tuple[Vector, Vector, Vector, float]: + """Compute bounding box of all mesh objects. + + Returns: + (min_corner, max_corner, center, radius) + """ + min_corner = Vector((float("inf"), float("inf"), float("inf"))) + max_corner = Vector((float("-inf"), float("-inf"), float("-inf"))) + + has_mesh = False + for obj in objects: + if obj.type != "MESH": + continue + has_mesh = True + for vertex in obj.bound_box: + world_corner = obj.matrix_world @ Vector(vertex) + min_corner.x = min(min_corner.x, world_corner.x) + min_corner.y = min(min_corner.y, world_corner.y) + min_corner.z = min(min_corner.z, world_corner.z) + max_corner.x = max(max_corner.x, world_corner.x) + max_corner.y = max(max_corner.y, world_corner.y) + max_corner.z = max(max_corner.z, world_corner.z) + + if not has_mesh: + # Default bounds for non-mesh objects + min_corner = Vector((-1, -1, -1)) + max_corner = Vector((1, 1, 1)) + + center = (min_corner + max_corner) * 0.5 + extent = max_corner - min_corner + radius = extent.length / 2.0 + + return min_corner, max_corner, center, max(radius, 0.1) + + +def setup_camera(center: Vector, radius: float, azimuth: float, elevation: float, distance_factor: float = 2.5) -> None: + """Setup camera at specified azimuth and elevation angles. + + Args: + center: Scene center point + radius: Scene radius + azimuth: Horizontal angle in degrees (0 = front, 90 = right) + elevation: Vertical angle in degrees (0 = level, 90 = top) + distance_factor: Distance multiplier from scene center + """ + # Create camera if not exists + camera = bpy.data.objects.get("AssetCamera") + if camera is None: + camera_data = bpy.data.cameras.new("AssetCamera") + camera = bpy.data.objects.new("AssetCamera", camera_data) + bpy.context.collection.objects.link(camera) + + bpy.context.scene.camera = camera + + # Convert angles to radians + azimuth_rad = math.radians(azimuth) + elevation_rad = math.radians(elevation) + + # Calculate camera position (spherical to cartesian) + distance = radius * distance_factor + x = center.x + distance * math.cos(elevation_rad) * math.cos(azimuth_rad) + y = center.y + distance * math.cos(elevation_rad) * math.sin(azimuth_rad) + z = center.z + distance * math.sin(elevation_rad) + + camera.location = Vector((x, y, z)) + + # Point camera at center + direction = center - camera.location + if direction.length > 1e-6: + direction.normalize() + quat = direction.to_track_quat("-Z", "Y") + camera.rotation_euler = quat.to_euler() + + # Camera settings + camera.data.type = "PERSP" + camera.data.lens = 35.0 + camera.data.clip_start = 0.01 + camera.data.clip_end = radius * 100.0 + + +def setup_lighting(center: Vector, radius: float) -> None: + """Setup basic 3-point lighting.""" + # Key light (sun) + key_light = bpy.data.objects.get("KeyLight") + if key_light is None: + key_data = bpy.data.lights.new("KeyLight", type="SUN") + key_light = bpy.data.objects.new("KeyLight", key_data) + bpy.context.collection.objects.link(key_light) + + key_light.location = center + Vector((radius * 2, -radius * 2, radius * 3)) + key_light.data.energy = 3.0 + key_light.data.color = (1.0, 0.98, 0.95) + + # Fill light + fill_light = bpy.data.objects.get("FillLight") + if fill_light is None: + fill_data = bpy.data.lights.new("FillLight", type="SUN") + fill_light = bpy.data.objects.new("FillLight", fill_data) + bpy.context.collection.objects.link(fill_light) + + fill_light.location = center + Vector((-radius * 2, radius, radius * 2)) + fill_light.data.energy = 1.5 + fill_light.data.color = (0.9, 0.95, 1.0) + + # Back/rim light + back_light = bpy.data.objects.get("BackLight") + if back_light is None: + back_data = bpy.data.lights.new("BackLight", type="SUN") + back_light = bpy.data.objects.new("BackLight", back_data) + bpy.context.collection.objects.link(back_light) + + back_light.location = center + Vector((0, radius * 2, radius * 2)) + back_light.data.energy = 2.0 + back_light.data.color = (1.0, 1.0, 1.0) + + +def setup_world(background_color: Tuple[float, float, float, float] = (1.0, 1.0, 1.0, 1.0)) -> None: + """Setup world/environment settings.""" + scene = bpy.context.scene + if scene.world is None: + scene.world = bpy.data.worlds.new("AssetWorld") + + world = scene.world + world.use_nodes = True + nodes = world.node_tree.nodes + + background_node = nodes.get("Background") + if background_node is None: + background_node = nodes.new(type="ShaderNodeBackground") + + background_node.inputs[0].default_value = background_color + background_node.inputs[1].default_value = 1.0 # Ambient strength + + # Enable transparent background + scene.render.film_transparent = True + scene.render.image_settings.color_mode = "RGBA" + + +def setup_render_settings(width: int = 512, height: int = 512, samples: int = 64) -> None: + """Configure render settings.""" + scene = bpy.context.scene + render = scene.render + + render.resolution_x = width + render.resolution_y = height + render.resolution_percentage = 100 + + # Try to use CYCLES for better quality, fallback to EEVEE + available_engines = {item.identifier for item in render.bl_rna.properties["engine"].enum_items} + + if "CYCLES" in available_engines: + render.engine = "CYCLES" + scene.cycles.samples = samples + scene.cycles.use_denoising = True + # Use GPU if available + try: + bpy.context.preferences.addons["cycles"].preferences.compute_device_type = "CUDA" + bpy.context.preferences.addons["cycles"].preferences.get_devices() + for device in bpy.context.preferences.addons["cycles"].preferences.devices: + device.use = True + scene.cycles.device = "GPU" + except: + scene.cycles.device = "CPU" + elif "BLENDER_EEVEE_NEXT" in available_engines: + render.engine = "BLENDER_EEVEE_NEXT" + elif "BLENDER_EEVEE" in available_engines: + render.engine = "BLENDER_EEVEE" + + render.image_settings.file_format = "PNG" + render.image_settings.color_mode = "RGBA" # Support transparent background + render.image_settings.color_depth = "8" + render.film_transparent = True # Enable transparent background + + +def render_multi_view( + glb_path: str, + output_dir: str, + num_views: int = 4, + width: int = 512, + height: int = 512, + samples: int = 64 +) -> List[str]: + """ + Render multiple views of a GLB asset. + + Args: + glb_path: Path to GLB file + output_dir: Output directory for rendered images + num_views: Number of views to render + width: Image width + height: Image height + samples: Render samples (for CYCLES) + + Returns: + List of output image paths + """ + os.makedirs(output_dir, exist_ok=True) + + # Import GLB + objects = import_glb(glb_path) + + # Compute bounds + min_corner, max_corner, center, radius = compute_bounds(objects) + + # Setup scene + setup_lighting(center, radius) + setup_world() + setup_render_settings(width, height, samples) + + # Define view configurations: (azimuth, elevation) + # These provide good coverage of the object from different angles + view_configs = [ + (45, 25), # Front-right, slightly above + (135, 25), # Back-right, slightly above + (225, 25), # Back-left, slightly above + (315, 25), # Front-left, slightly above + (0, 45), # Front, higher angle + (90, 45), # Right side, higher angle + (180, 45), # Back, higher angle + (270, 45), # Left side, higher angle + ] + + output_paths = [] + + for i in range(min(num_views, len(view_configs))): + azimuth, elevation = view_configs[i] + + # Setup camera for this view + setup_camera(center, radius, azimuth, elevation) + + # Render + output_path = os.path.join(output_dir, f"view_{i:02d}.png") + bpy.context.scene.render.filepath = output_path + bpy.ops.render.render(write_still=True) + + if os.path.exists(output_path): + output_paths.append(output_path) + print(f" Rendered view {i+1}/{num_views}: {output_path}") + + return output_paths + + +def main(): + # Parse arguments after '--' for Blender command line usage + if "--" in sys.argv: + argv = sys.argv[sys.argv.index("--") + 1:] + else: + argv = sys.argv[1:] + + parser = argparse.ArgumentParser(description="Render multi-view images of a GLB asset using Blender") + parser.add_argument("--input", required=True, help="Path to input GLB file") + parser.add_argument("--output-dir", required=True, help="Output directory for rendered images") + parser.add_argument("--num-views", type=int, default=4, help="Number of views to render") + parser.add_argument("--width", type=int, default=512, help="Image width") + parser.add_argument("--height", type=int, default=512, help="Image height") + parser.add_argument("--samples", type=int, default=64, help="Render samples") + + args = parser.parse_args(argv) + + if not HAS_BPY: + print("Error: bpy module not available. Run this script with Blender.") + sys.exit(1) + + try: + output_paths = render_multi_view( + args.input, + args.output_dir, + args.num_views, + args.width, + args.height, + args.samples + ) + print(f"Successfully rendered {len(output_paths)} views") + # Print paths for parsing + print("OUTPUT_PATHS:" + ",".join(output_paths)) + except Exception as e: + print(f"Error: {e}") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/tools/asset_description/gpt_description_generator.py b/tools/asset_description/gpt_description_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..d402f925db25adc32031a93dd692512228da014c --- /dev/null +++ b/tools/asset_description/gpt_description_generator.py @@ -0,0 +1,291 @@ +#!/usr/bin/env python3 +""" +GPT Description Generator for 3D Assets + +This module handles the generation of descriptions for 3D assets +using Azure OpenAI's GPT-4 Vision API. +""" + +import os +import base64 +import json +import time +from pathlib import Path +from typing import List, Optional, Dict, Any + +# Try to import Azure OpenAI dependencies +HAS_AZURE_OPENAI = False +try: + from openai import AzureOpenAI + from azure.identity import ChainedTokenCredential, AzureCliCredential, ManagedIdentityCredential, get_bearer_token_provider + HAS_AZURE_OPENAI = True +except ImportError as e: + print(f"Warning: Azure OpenAI packages not installed. Run: pip install openai azure-identity") + print(f"Import error: {e}") + + +class GPTDescriptionGenerator: + """Generates descriptions for 3D assets using Azure GPT-4 Vision.""" + + def __init__(self): + """ + Initialize the GPT description generator using Azure OpenAI. + Uses Azure CLI or Managed Identity for authentication. + """ + self.available = False + self.client = None + + if not HAS_AZURE_OPENAI: + print("Warning: Azure OpenAI packages not available") + return + + try: + # Azure OpenAI configuration + scope = "api://trapi/.default" + credential = get_bearer_token_provider(ChainedTokenCredential( + AzureCliCredential(), + ManagedIdentityCredential(), + ), scope) + + self.api_version = '2024-12-01-preview' + self.deployment_name = 'gpt-4o_2024-11-20' + instance = 'msra/shared' + endpoint = f'https://trapi.research.microsoft.com/{instance}' + + # Create Azure OpenAI Client + self.client = AzureOpenAI( + azure_endpoint=endpoint, + azure_ad_token_provider=credential, + api_version=self.api_version, + ) + self.available = True + print("✓ Azure OpenAI client initialized successfully") + + except Exception as e: + print(f"Warning: Failed to initialize Azure OpenAI client: {e}") + self.available = False + + def encode_image(self, image_path: str) -> str: + """Encode an image file to base64.""" + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + + def generate_description( + self, + image_paths: List[str], + category: Optional[str] = None + ) -> Optional[str]: + """ + Generate a description for a 3D asset based on rendered images. + + Args: + image_paths: List of paths to rendered images from different views. + category: Optional category hint for the asset. + + Returns: + Generated description string, or None if failed. + """ + if not self.available: + return self._generate_fallback_description(category) + + # Filter to existing images + valid_images = [p for p in image_paths if os.path.exists(p)] + if not valid_images: + print("Warning: No valid images provided") + return self._generate_fallback_description(category) + + # Build the prompt + system_prompt = """You are an expert at describing 3D objects for search and retrieval purposes. +Your descriptions should be: +1. Accurate and detailed +2. Include physical characteristics (shape, size, color, material) +3. Include functional aspects (what it's used for) +4. Include style elements (modern, traditional, industrial, etc.) +5. Be concise but comprehensive (2-3 sentences) +6. Use keywords that would help in searching for similar objects""" + + category_hint = f"This object is categorized as: {category}. " if category else "" + + user_content = [ + { + "type": "text", + "text": f"""{category_hint}Please analyze these rendered views of a 3D object and provide a concise, accurate description suitable for search and retrieval. + +The description should: +1. Identify what the object is +2. Describe its key visual characteristics (color, material, shape) +3. Note any distinctive features +4. Be 2-3 sentences maximum + +Respond with ONLY the description text, no additional formatting or explanation.""" + } + ] + + # Add images (limit to 4 views) + for img_path in valid_images[:4]: + base64_image = self.encode_image(img_path) + user_content.append({ + "type": "image_url", + "image_url": { + "url": f"data:image/png;base64,{base64_image}", + "detail": "low" # Use low detail to reduce tokens + } + }) + + # Retry logic for rate limiting + max_retries = 100 + + for attempt in range(max_retries): + try: + response = self.client.chat.completions.create( + model=self.deployment_name, + messages=[ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_content} + ], + max_tokens=300, + temperature=0.3 + ) + + description = response.choices[0].message.content.strip() + return description + + except Exception as e: + # 打印异常 + print(f"Warning: GPT request failed on attempt {attempt + 1}: {e}") + continue + + return self._generate_fallback_description(category) + + def _generate_fallback_description(self, category: Optional[str] = None) -> str: + """Generate a basic fallback description when GPT is not available.""" + if category: + return f"A 3D model of a {category.lower().replace('_', ' ')}." + return "A 3D object model." + + def generate_description_from_images(self, image_paths: List[str], + category: str = None) -> str: + """ + Alias for generate_description for backward compatibility. + """ + result = self.generate_description(image_paths, category) + return result if result else self._generate_fallback_description(category) + + def batch_generate( + self, + items: List[Dict[str, Any]], + progress_callback=None + ) -> Dict[str, str]: + """ + Generate descriptions for multiple assets. + + Args: + items: List of dicts with 'model_uid', 'image_paths', and optional 'category'. + progress_callback: Optional callback function(current, total, model_uid). + + Returns: + Dictionary mapping model_uid to description. + """ + results = {} + total = len(items) + + for i, item in enumerate(items): + model_uid = item['model_uid'] + image_paths = item.get('image_paths', []) + category = item.get('category') + + if progress_callback: + progress_callback(i + 1, total, model_uid) + + description = self.generate_description(image_paths, category) + if description: + results[model_uid] = description + + return results + + +# Fallback generator for when Azure OpenAI is not available +class SimpleDescriptionGenerator: + """简单的描述生成器（备选方案，不使用API）""" + + def __init__(self, template_file: str = None): + """ + 初始化简单生成器 + + Args: + template_file: JSON模板文件路径，包含category到description的映射 + """ + self.templates = {} + self.available = True # Always available as fallback + if template_file and os.path.exists(template_file): + with open(template_file, 'r') as f: + self.templates = json.load(f) + + def generate_description(self, image_paths: List[str], + category: str = None) -> str: + """ + 基于模板生成描述 + """ + if category and category in self.templates: + return self.templates[category] + + return f"A {category if category else 'furniture'} object with specific design characteristics." + + def generate_description_from_images(self, image_paths: List[str], + category: str = None) -> str: + """Alias for backward compatibility.""" + return self.generate_description(image_paths, category) + + +def get_description_generator(): + """ + Factory function to get the best available description generator. + Returns Azure GPT generator if available, otherwise returns Simple generator. + """ + if HAS_AZURE_OPENAI: + try: + generator = GPTDescriptionGenerator() + if generator.available: + return generator + except Exception as e: + print(f"Failed to create Azure GPT generator: {e}") + + print("Using SimpleDescriptionGenerator as fallback") + return SimpleDescriptionGenerator() + + +if __name__ == "__main__": + # Test the generator + print("=" * 60) + print("Testing GPT Description Generator") + print("=" * 60) + + if HAS_AZURE_OPENAI: + print("✓ Azure OpenAI packages are installed") + + try: + generator = GPTDescriptionGenerator() + if generator.available: + print("✓ Azure OpenAI client is ready") + + # Simple test without images + print("\nTesting simple API call...") + try: + response = generator.client.chat.completions.create( + model=generator.deployment_name, + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Say 'API connection successful' in one line."} + ], + max_tokens=50 + ) + print(f"✓ API Response: {response.choices[0].message.content}") + except Exception as e: + print(f"✗ API call failed: {e}") + else: + print("✗ Azure OpenAI client failed to initialize") + except Exception as e: + print(f"✗ Error: {e}") + else: + print("✗ Azure OpenAI packages not installed") + print(" Run: pip install openai azure-identity") diff --git a/tools/asset_description/normalize_assets.py b/tools/asset_description/normalize_assets.py new file mode 100644 index 0000000000000000000000000000000000000000..088501270ead447e75e6b687a7cdb3350e101dc0 --- /dev/null +++ b/tools/asset_description/normalize_assets.py @@ -0,0 +1,439 @@ +#!/usr/bin/env python3 +""" +Normalize 3D Assets Script + +This script processes all 3D assets and applies the necessary rotations to align them +to a canonical coordinate system (facing X-axis, Z-axis up), then saves them as new GLB files. + +After normalization, all assets can be loaded without any special rotation handling, +eliminating the need for different transforms per asset type in compose_scenes.py. + +The canonical coordinate system: +- X-axis: forward direction (object facing) +- Y-axis: right direction +- Z-axis: up direction + +Usage: + python tools/asset_description/normalize_assets.py --input asset_descriptions.json --output-dir /path/to/normalized_assets + python tools/asset_description/normalize_assets.py --dry-run # Preview without saving +""" + +import os +import sys +import json +import argparse +import numpy as np +import trimesh +from pathlib import Path +from concurrent.futures import ProcessPoolExecutor, as_completed +from tqdm import tqdm +from trimesh.transformations import rotation_matrix + +# Add project root +SCRIPT_DIR = Path(__file__).parent +REPO_ROOT = SCRIPT_DIR.parent.parent +sys.path.insert(0, str(REPO_ROOT)) + +# Default paths +DEFAULT_ASSET_LIBRARY = os.path.expanduser("~/backup/datas/InternScenes/asset_library") +DEFAULT_DESCRIPTIONS_FILE = SCRIPT_DIR / "asset_descriptions.json" +DEFAULT_OUTPUT_DIR = os.path.expanduser("~/backup/datas/InternScenes/asset_library_normalized") + +# Rotation mappings from compose_scenes.py +# These are the rotations needed to convert each asset type to canonical form +# After applying these, the object should face X-axis with Z-axis up + + +def get_canonical_rotation(uid: str, obja_uid_2_rotation: dict = None, pm_uid_2_origin_cate: dict = None) -> np.ndarray: + """ + Get the rotation matrix to transform an asset to canonical form. + + This replicates the logic from compose_scenes.py's load_init_rotation(). + + Args: + uid: Asset UID (e.g., "3D-FUTURE-model/xxx", "objaverse/xxx") + obja_uid_2_rotation: Dict mapping objaverse UIDs to their rotation angles + pm_uid_2_origin_cate: Dict mapping partnet_mobility UIDs to their categories + + Returns: + 4x4 rotation matrix + """ + transform = np.eye(4) + + if uid.startswith("objaverse/"): + # objaverse assets have per-asset rotation stored in uid_2_angle.json + if obja_uid_2_rotation: + short_uid = uid.split("objaverse/")[-1] + if short_uid in obja_uid_2_rotation: + rot_radius = obja_uid_2_rotation[short_uid] / 180.0 * np.pi + transform = ( + rotation_matrix(rot_radius, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + else: + # Fallback if not in mapping + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + else: + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + elif uid.startswith("objaverse_old/"): + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + elif uid.startswith("partnet_mobility"): + transform = ( + rotation_matrix(np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + # Special handling for pen, remote, phone + if pm_uid_2_origin_cate: + pm_cate = pm_uid_2_origin_cate.get(uid, "") + if pm_cate in ["Pen", "Remote", "Phone"]: + rotation_matrix_1 = rotation_matrix(np.pi, [0, 0, 1]) + rotation_matrix_2 = rotation_matrix(np.pi / 2, [0, 1, 0]) + transform = rotation_matrix_2 @ rotation_matrix_1 @ transform + + elif uid.startswith("3D-FUTURE-model"): + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + elif uid.startswith("hssd-models"): + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + elif uid.startswith("gen_assets"): + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + elif uid.startswith("gr100"): + transform = ( + rotation_matrix(0.5 * np.pi, [0, 0, 1]) @ + rotation_matrix(0.5 * np.pi, [1, 0, 0]) + ) + + else: + # Unknown asset type - use identity (no rotation) + print(f"Warning: Unknown asset type for {uid}, using identity transform") + transform = np.eye(4) + + return transform + + +def get_glb_path(uid: str, asset_library_dir: str) -> str: + """Get the GLB file path for an asset UID.""" + if uid.startswith("objaverse/"): + objaverse_rel = uid.split("objaverse/")[-1] + ".glb" + candidates = [ + os.path.join(asset_library_dir, "objaverse", "objaverse", objaverse_rel), + os.path.join(asset_library_dir, uid + ".glb"), + ] + objaverse_root = os.environ.get("OBJAVERSE_ROOT") + if objaverse_root: + candidates.insert(0, os.path.join(objaverse_root, objaverse_rel)) + for path in candidates: + if os.path.exists(path): + return path + return None + + elif uid.startswith("objaverse_old/"): + # objaverse_old/xxx -> objaverse_old/xxx.glb + objaverse_old_rel = uid.split("objaverse_old/")[-1] + ".glb" + candidates = [ + os.path.join(asset_library_dir, "objaverse_old", objaverse_old_rel), + os.path.join(asset_library_dir, uid + ".glb"), + ] + for path in candidates: + if os.path.exists(path): + return path + return None + + elif uid.startswith("partnet_mobility"): + return os.path.join(asset_library_dir, uid, "whole.glb") + + elif uid.startswith("3D-FUTURE-model"): + return os.path.join(asset_library_dir, uid + ".glb") + + elif uid.startswith("hssd-models"): + return os.path.join(asset_library_dir, uid + ".glb") + + elif uid.startswith("gen_assets"): + return os.path.join(asset_library_dir, uid + ".glb") + + elif uid.startswith("gr100"): + return os.path.join(asset_library_dir, uid + ".glb") + + return None + + +def fix_vertex_colors(mesh): + """ + Fix vertex colors that have incorrect shape. + Some GLB files have malformed vertex color data. + """ + if isinstance(mesh, trimesh.Scene): + for name, geom in mesh.geometry.items(): + if hasattr(geom, 'visual') and hasattr(geom.visual, 'vertex_colors'): + try: + vc = geom.visual.vertex_colors + if vc is not None and len(vc.shape) == 1: + # Malformed vertex colors - remove them + geom.visual.vertex_colors = None + except: + pass + elif hasattr(mesh, 'visual') and hasattr(mesh.visual, 'vertex_colors'): + try: + vc = mesh.visual.vertex_colors + if vc is not None and len(vc.shape) == 1: + mesh.visual.vertex_colors = None + except: + pass + return mesh + + +def normalize_single_asset(args): + """ + Normalize a single asset (for multiprocessing). + + Args: + args: Tuple of (uid, input_path, output_path, rotation_matrix, category) + + Returns: + Tuple of (uid, success, message) + """ + uid, input_path, output_path, rotation_mat, category = args + + try: + if not os.path.exists(input_path): + return uid, False, f"Input file not found: {input_path}" + + # Load mesh with textures, force processing to catch issues early + mesh = trimesh.load(input_path, force='scene') + + # Fix any malformed vertex colors + mesh = fix_vertex_colors(mesh) + + # Center the mesh + if hasattr(mesh, 'bounding_box'): + centroid = mesh.bounding_box.centroid + mesh.apply_translation(-centroid) + + # Apply rotation to canonical form + mesh.apply_transform(rotation_mat) + + # Special handling for carpet: flatten Z-axis by 1/100 + # This replicates the logic from compose_scenes.py get_scale_transform_from_rules + if category and category.lower() in ['carpet', 'rug']: + # Scale Z-axis by 1/100 to flatten the carpet + flatten_transform = np.diag([1.0, 1.0, 0.01, 1.0]) + mesh.apply_transform(flatten_transform) + + # Note: clothes use uniform scaling at runtime based on target bbox, + # so we can't pre-process that here + + # Ensure output directory exists + os.makedirs(os.path.dirname(output_path), exist_ok=True) + + # Export normalized mesh - try different approaches if needed + try: + mesh.export(output_path) + except ValueError as e: + if "reshape" in str(e): + # Vertex color / texture export issue - simplify visuals and re-export + if isinstance(mesh, trimesh.Scene): + for name, geom in mesh.geometry.items(): + if hasattr(geom, 'visual'): + try: + # Try to preserve base color from material + mat = geom.visual.material if hasattr(geom.visual, 'material') else None + if mat and hasattr(mat, 'baseColorFactor') and mat.baseColorFactor is not None: + color = mat.baseColorFactor + else: + color = [0.8, 0.8, 0.8, 1.0] + geom.visual = trimesh.visual.ColorVisuals(mesh=geom, face_colors=color) + except: + geom.visual = trimesh.visual.ColorVisuals(mesh=geom) + mesh.export(output_path) + else: + raise + + return uid, True, f"OK" + + except Exception as e: + import traceback + return uid, False, f"{str(e)}\n{traceback.format_exc()}" + + +def load_rotation_mappings(asset_library_dir: str): + """Load the rotation mapping files.""" + obja_uid_2_rotation = {} + pm_uid_2_origin_cate = {} + uid_to_category = {} + + # Load objaverse rotation angles + obja_rotation_path = os.path.join(asset_library_dir, "uid_2_angle.json") + if os.path.exists(obja_rotation_path): + with open(obja_rotation_path) as f: + obja_uid_2_rotation = json.load(f) + print(f"Loaded {len(obja_uid_2_rotation)} objaverse rotation angles") + + # Load partnet_mobility categories + pm_cate_path = os.path.join(asset_library_dir, "uid_2_origin_cate.json") + if os.path.exists(pm_cate_path): + with open(pm_cate_path) as f: + pm_uid_2_origin_cate = json.load(f) + print(f"Loaded {len(pm_uid_2_origin_cate)} partnet_mobility categories") + + # Load uid -> category mapping (for carpet/clothes special handling) + uid_to_category_path = os.path.join(SCRIPT_DIR, "uid_to_category.json") + if os.path.exists(uid_to_category_path): + with open(uid_to_category_path) as f: + uid_to_category = json.load(f) + print(f"Loaded {len(uid_to_category)} uid -> category mappings") + + return obja_uid_2_rotation, pm_uid_2_origin_cate, uid_to_category + + +def main(): + parser = argparse.ArgumentParser(description="Normalize 3D assets to canonical coordinate system") + parser.add_argument("--input", "-i", type=str, default=str(DEFAULT_DESCRIPTIONS_FILE), + help="Path to asset_descriptions.json") + parser.add_argument("--asset-library", "-a", type=str, default=DEFAULT_ASSET_LIBRARY, + help="Path to asset library directory") + parser.add_argument("--output-dir", "-o", type=str, default=DEFAULT_OUTPUT_DIR, + help="Output directory for normalized assets") + parser.add_argument("--workers", "-w", type=int, default=8, + help="Number of parallel workers") + parser.add_argument("--dry-run", action="store_true", + help="Preview operations without saving") + parser.add_argument("--limit", type=int, default=None, + help="Limit number of assets to process (for testing)") + parser.add_argument("--filter-prefix", type=str, default=None, + help="Only process assets with this prefix (e.g., '3D-FUTURE-model')") + parser.add_argument("--skip-existing", action="store_true", + help="Skip assets that already exist in output directory") + + args = parser.parse_args() + + # Load asset descriptions + print(f"Loading asset descriptions from {args.input}...") + with open(args.input) as f: + asset_descriptions = json.load(f) + print(f"Found {len(asset_descriptions)} assets") + + # Load rotation mappings and category mappings + obja_uid_2_rotation, pm_uid_2_origin_cate, uid_to_category = load_rotation_mappings(args.asset_library) + + # Prepare tasks + tasks = [] + skipped = 0 + missing = 0 + carpet_count = 0 + clothes_count = 0 + + for uid in asset_descriptions: + # Filter by prefix if specified + if args.filter_prefix and not uid.startswith(args.filter_prefix): + continue + + # Get input path + input_path = get_glb_path(uid, args.asset_library) + if input_path is None or not os.path.exists(input_path): + missing += 1 + continue + + # Determine output path (maintain directory structure) + if uid.startswith("partnet_mobility"): + # partnet_mobility uses whole.glb in subdirectory + output_path = os.path.join(args.output_dir, uid, "whole.glb") + else: + output_path = os.path.join(args.output_dir, uid + ".glb") + + # Skip existing if requested + if args.skip_existing and os.path.exists(output_path): + skipped += 1 + continue + + # Get rotation matrix + rotation_mat = get_canonical_rotation(uid, obja_uid_2_rotation, pm_uid_2_origin_cate) + + # Get category for special handling (carpet/clothes) + category = uid_to_category.get(uid, "") + if category.lower() in ['carpet', 'rug']: + carpet_count += 1 + elif category.lower() == 'clothes': + clothes_count += 1 + + tasks.append((uid, input_path, output_path, rotation_mat, category)) + + if args.limit and len(tasks) >= args.limit: + break + + print(f"\nTasks prepared: {len(tasks)} to process, {skipped} skipped (existing), {missing} missing") + print(f"Special categories: {carpet_count} carpet/rug, {clothes_count} clothes") + + if args.dry_run: + print("\n[DRY RUN] Would process:") + for uid, input_path, output_path, _ in tasks[:10]: + print(f" {uid}") + print(f" Input: {input_path}") + print(f" Output: {output_path}") + if len(tasks) > 10: + print(f" ... and {len(tasks) - 10} more") + return + + if not tasks: + print("No tasks to process.") + return + + # Process assets + print(f"\nProcessing {len(tasks)} assets with {args.workers} workers...") + + success_count = 0 + fail_count = 0 + + with ProcessPoolExecutor(max_workers=args.workers) as executor: + futures = {executor.submit(normalize_single_asset, task): task[0] for task in tasks} + + with tqdm(total=len(futures), desc="Normalizing") as pbar: + for future in as_completed(futures): + uid, success, msg = future.result() + if success: + success_count += 1 + else: + fail_count += 1 + tqdm.write(f"Failed: {uid} - {msg[:200]}") + pbar.update(1) + + print(f"\nDone! Success: {success_count}, Failed: {fail_count}") + + # Save a manifest of processed assets + manifest_path = os.path.join(args.output_dir, "manifest.json") + manifest = { + "total_processed": success_count, + "failed": fail_count, + "output_dir": args.output_dir, + "source_descriptions": args.input, + } + with open(manifest_path, 'w') as f: + json.dump(manifest, f, indent=2) + print(f"Saved manifest to {manifest_path}") + + +if __name__ == "__main__": + main() diff --git a/tools/asset_description/normalized_asset_loader.py b/tools/asset_description/normalized_asset_loader.py new file mode 100644 index 0000000000000000000000000000000000000000..0ed44d6cccb5aad84dc5ef0e1799afa659e86802 --- /dev/null +++ b/tools/asset_description/normalized_asset_loader.py @@ -0,0 +1,210 @@ +#!/usr/bin/env python3 +""" +Normalized Asset Loader + +This module provides a simplified AssetMeshLoader that works with pre-normalized assets. +No per-asset-type rotation is needed because all assets have been pre-processed to +the canonical coordinate system (X-forward, Z-up). + +Usage: + from tools.asset_description.normalized_asset_loader import NormalizedAssetMeshLoader + + loader = NormalizedAssetMeshLoader(asset_dir="/path/to/normalized_assets") + mesh = loader.load_canonical_mesh("3D-FUTURE-model/xxx", use_texture=True) +""" + +import os +import json +import trimesh +import numpy as np +from pathlib import Path + +# Load uid -> category mapping +_UID_TO_CATEGORY = None + + +def _get_uid_to_category_path(): + """Get uid_to_category.json path, preferring environment variable.""" + # Priority: environment variable > default path + env_path = os.environ.get('PTH_UID_TO_CATEGORY') + if env_path and os.path.exists(env_path): + return env_path + # Fallback to default path + default_path = os.path.join(os.path.dirname(__file__), "uid_to_category.json") + return default_path + + +def _load_uid_to_category(): + """Lazy load uid_to_category mapping.""" + global _UID_TO_CATEGORY + if _UID_TO_CATEGORY is None: + uid_to_category_path = _get_uid_to_category_path() + if os.path.exists(uid_to_category_path): + with open(uid_to_category_path) as f: + _UID_TO_CATEGORY = json.load(f) + else: + _UID_TO_CATEGORY = {} + return _UID_TO_CATEGORY + + +def get_category_for_uid(uid: str) -> str: + """Get category for a given UID.""" + mapping = _load_uid_to_category() + return mapping.get(uid, "") + + +class NormalizedAssetMeshLoader: + """ + Simplified asset loader for pre-normalized assets. + + All assets are assumed to be already in canonical form: + - Centered at origin + - Facing X-axis + - Z-axis up + + No rotation is applied during loading. + """ + + def __init__(self, asset_dir: str = None): + """ + Initialize the loader. + + Args: + asset_dir: Path to normalized asset library directory. + If None, uses PTH_ASSET_NORMALIZED_LIBRARY env var or default path. + """ + if asset_dir is None: + # Priority: environment variable > default path + asset_dir = os.environ.get('PTH_ASSET_NORMALIZED_LIBRARY') + if not asset_dir: + # 优先使用 ~/backup (本地环境)，如果不存在则使用 /backup (集群环境) + home_path = os.path.expanduser("~/backup/datas/InternScenes/asset_library_normalized") + if os.path.exists(home_path): + asset_dir = home_path + else: + asset_dir = "/backup/datas/InternScenes/asset_library_normalized" + + self.asset_dir = asset_dir + + if not os.path.exists(self.asset_dir): + raise ValueError(f"Asset directory not found: {self.asset_dir}") + + def get_mesh_path(self, uid: str) -> str: + """ + Get the GLB file path for an asset UID. + + Args: + uid: Asset UID (e.g., "3D-FUTURE-model/xxx") + + Returns: + Path to GLB file + """ + if uid.startswith("partnet_mobility"): + # partnet_mobility uses subdirectory structure + return os.path.join(self.asset_dir, uid, "whole.glb") + else: + return os.path.join(self.asset_dir, uid + ".glb") + + def load_mesh(self, uid: str, use_texture: bool = True): + """ + Load a mesh from the normalized asset library. + + Args: + uid: Asset UID + use_texture: Whether to load textures + + Returns: + trimesh.Trimesh or trimesh.Scene + """ + mesh_path = self.get_mesh_path(uid) + + if not os.path.exists(mesh_path): + raise FileNotFoundError(f"Mesh not found: {mesh_path}") + + if use_texture: + mesh = trimesh.load(mesh_path) + else: + mesh = trimesh.load(mesh_path, force="mesh") + + return mesh + + def load_canonical_mesh(self, uid: str, use_texture: bool = True, category: str = None): + """ + Load a mesh in canonical form. + + Since all assets are pre-normalized, this is equivalent to load_mesh(), + but with additional handling for special categories (carpet, clothes). + + Args: + uid: Asset UID + use_texture: Whether to load textures + category: Optional category override. If None, will look up from uid_to_category.json + + Returns: + trimesh.Trimesh or trimesh.Scene (centered at origin) + """ + mesh = self.load_mesh(uid, use_texture) + + # Assets are already centered, but ensure this for safety + if hasattr(mesh, 'bounding_box'): + centroid = mesh.bounding_box.centroid + if not np.allclose(centroid, [0, 0, 0], atol=0.01): + mesh.apply_translation(-centroid) + + # Get category if not provided + if category is None: + category = get_category_for_uid(uid) + + # Apply category-specific transforms (from compose_scenes.py get_scale_transform_from_rules) + category_lower = category.lower() if category else "" + + if "carpet" in category_lower or "rug" in category_lower: + # Carpet: compress Z axis (make it flat) + # In compose_scenes.py: scale_factors[2]/100.0 + # We apply this as a pre-transform so the mesh is already flat + scale_matrix = np.diag([1.0, 1.0, 0.01, 1.0]) + mesh.apply_transform(scale_matrix) + + # Note: clothes uses uniform scaling based on target size, + # which must be done at runtime, not during loading + + return mesh + + def asset_exists(self, uid: str) -> bool: + """Check if an asset exists in the library.""" + return os.path.exists(self.get_mesh_path(uid)) + + +def create_loader_for_compose_scenes(asset_dir: str = None): + """ + Create a loader compatible with compose_scenes.py. + + This returns a loader that can be used as a drop-in replacement + for AssetMeshLoader in compose_scenes.py. + + Args: + asset_dir: Path to normalized asset library + + Returns: + NormalizedAssetMeshLoader instance + """ + return NormalizedAssetMeshLoader(asset_dir) + + +if __name__ == "__main__": + # Test the loader + import argparse + + parser = argparse.ArgumentParser(description="Test normalized asset loader") + parser.add_argument("--asset-dir", type=str, default=None) + parser.add_argument("--uid", type=str, required=True, help="Asset UID to test") + args = parser.parse_args() + + loader = NormalizedAssetMeshLoader(args.asset_dir) + + print(f"Loading {args.uid}...") + mesh = loader.load_canonical_mesh(args.uid, use_texture=True) + + print(f"Loaded: {type(mesh).__name__}") + print(f"Bounds: {mesh.bounds}") + print(f"Centroid: {mesh.bounding_box.centroid}") diff --git a/tools/asset_description/process_asset_descriptions.py b/tools/asset_description/process_asset_descriptions.py new file mode 100644 index 0000000000000000000000000000000000000000..f8feaf87712ead2eec1420ab440e68b6b18c5cee --- /dev/null +++ b/tools/asset_description/process_asset_descriptions.py @@ -0,0 +1,437 @@ +#!/usr/bin/env python3 +""" +Asset Description Processing Pipeline +为3D资产添加description字段的完整流程 +""" + +import argparse +import os +import json +import sys +from pathlib import Path +from typing import List, Dict, Set +import tempfile +import shutil + +# 添加项目路径 +SCRIPT_DIR = Path(__file__).parent # tools/asset_description +TOOLS_DIR = SCRIPT_DIR.parent # tools +REPO_ROOT = TOOLS_DIR.parent # project root +sys.path.insert(0, str(REPO_ROOT)) + +from tools.asset_description.asset_description_manager import AssetDescriptionManager +from tools.asset_description.asset_finder import AssetFinder, AssetRenderer + + +def get_model_uids_from_scene(layout_json_path: str) -> Set[str]: + """从layout.json中提取所有model_uid""" + with open(layout_json_path, 'r', encoding='utf-8') as f: + layout = json.load(f) + + model_uids = set() + if "instances" in layout: + for instance in layout["instances"]: + if "model_uid" in instance: + model_uids.add(instance["model_uid"]) + + return model_uids + + +def process_scene_layout(layout_json_path: str, asset_library_dir: str, + description_manager: AssetDescriptionManager, + dry_run: bool = False, max_views: int = 4) -> Dict: + """ + 处理单个场景的layout文件 + + Args: + layout_json_path: layout.json的路径 + asset_library_dir: 资产库目录 + description_manager: 描述管理器 + dry_run: 如果为True，不进行实际处理 + max_views: 最大视角数量 + + Returns: + 处理统计信息 + """ + stats = { + "total_instances": 0, + "unique_uids": 0, + "already_processed": 0, + "newly_processed": 0, + "not_found": 0, + "errors": 0, + "model_descriptions": {} + } + + print(f"\nProcessing: {layout_json_path}") + + # 加载layout + with open(layout_json_path, 'r', encoding='utf-8') as f: + layout = json.load(f) + + # 提取model_uid + model_uids = set() + instance_map = {} # model_uid -> list of instances + + if "instances" in layout: + stats["total_instances"] = len(layout["instances"]) + for instance in layout["instances"]: + if "model_uid" in instance: + uid = instance["model_uid"] + model_uids.add(uid) + if uid not in instance_map: + instance_map[uid] = [] + instance_map[uid].append(instance) + + stats["unique_uids"] = len(model_uids) + + print(f"Found {stats['total_instances']} instances with {stats['unique_uids']} unique model UIDs") + + # 初始化工具 + finder = AssetFinder(asset_library_dir) + renderer = AssetRenderer() + + # 处理每个model_uid + for idx, model_uid in enumerate(sorted(model_uids), 1): + print(f"\n[{idx}/{len(model_uids)}] Processing model_uid: {model_uid}") + + # 检查是否已处理 + if description_manager.has_description(model_uid): + existing_desc = description_manager.get_description(model_uid) + print(f" ✓ Already processed: {existing_desc[:60]}...") + stats["already_processed"] += 1 + stats["model_descriptions"][model_uid] = existing_desc + continue + + try: + # 查找GLB文件 + asset_info = finder.find_asset_info(model_uid) + + if not asset_info["found"]: + print(f" ✗ GLB file not found") + stats["not_found"] += 1 + continue + + glb_path = asset_info["glb_path"] + print(f" Found GLB: {glb_path}") + + # 如果是dry_run，不进行后续处理 + if dry_run: + print(f" [DRY RUN] Would process: {glb_path}") + stats["newly_processed"] += 1 + continue + + # 生成临时渲染输出目录 + with tempfile.TemporaryDirectory(prefix="asset_render_") as temp_dir: + print(f" Rendering views...") + try: + # 渲染多视角图像 + # 注意：这里需要实现实际的渲染逻辑 + # 暂时使用简化版本 + rendered_images = render_asset_simple(glb_path, temp_dir, max_views) + + if not rendered_images: + print(f" ⚠ Rendering failed, using template description") + description = f"A {asset_info['category'] if asset_info['category'] else 'furniture'} object" + else: + print(f" Generated {len(rendered_images)} views") + + # 使用GPT生成描述 + description = generate_description_from_images( + rendered_images, + asset_info['category'] + ) + + # 保存描述 + description_manager.set_description( + model_uid, + description, + category=asset_info["category"], + metadata={"glb_path": glb_path} + ) + + print(f" ✓ Description: {description[:60]}...") + stats["newly_processed"] += 1 + stats["model_descriptions"][model_uid] = description + + except Exception as e: + print(f" ✗ Error during rendering/description: {e}") + stats["errors"] += 1 + + except Exception as e: + print(f" ✗ Error processing model_uid: {e}") + stats["errors"] += 1 + + # 更新layout文件中的description字段 + if not dry_run: + update_layout_with_descriptions(layout, stats["model_descriptions"]) + with open(layout_json_path, 'w', encoding='utf-8') as f: + json.dump(layout, f, ensure_ascii=False, indent=2) + print(f"\n✓ Updated layout file: {layout_json_path}") + + return stats + + +def render_asset_simple(glb_path: str, output_dir: str, num_views: int) -> List[str]: + """ + 简化版的资产渲染函数 + 使用render_to_image.py渲染多个视角 + """ + rendered_images = [] + + try: + import subprocess + render_script = Path(__file__).parent.parent / "render_to_image.py" + + if not render_script.exists(): + print(f" Warning: render_to_image.py not found") + return [] + + # 定义不同的相机视角参数 + view_configs = [ + # (camera_factor, camera_inset, look_offset) - 标准视角 + (1.2, 0.0, 0.0), # 正面斜上方 + (1.2, 0.3, 0.0), # 侧面 + (1.5, 0.0, -0.2), # 俯视 + (1.0, 0.2, 0.1), # 近距离 + ] + + for view_idx in range(min(num_views, len(view_configs))): + output_image = os.path.join(output_dir, f"view_{view_idx:02d}.png") + cfg = view_configs[view_idx] + + cmd = [ + sys.executable, str(render_script), + "--input", glb_path, + "--output", output_image, + "--width", "512", + "--height", "512", + "--camera-factor", str(cfg[0]), + "--camera-inset", str(cfg[1]), + "--look-offset", str(cfg[2]), + "--boundary-alpha", "0.0", # 不显示边界 + ] + + try: + result = subprocess.run(cmd, capture_output=True, text=True, timeout=60) + if result.returncode == 0 and os.path.exists(output_image): + rendered_images.append(output_image) + else: + if result.stderr: + print(f" Render stderr: {result.stderr[:200]}") + except subprocess.TimeoutExpired: + print(f" Timeout rendering view {view_idx}") + except Exception as e: + print(f" Error rendering view {view_idx}: {e}") + + except Exception as e: + print(f" Error in render_asset_simple: {e}") + + return rendered_images + + +def generate_description_from_images(image_paths: List[str], category: str = None) -> str: + """ + 调用Azure GPT生成描述 + + 如果Azure OpenAI未正确配置，使用模板描述 + """ + try: + from tools.asset_description.gpt_description_generator import GPTDescriptionGenerator + + generator = GPTDescriptionGenerator() + if generator.available: + description = generator.generate_description_from_images(image_paths, category) + return description + else: + print(f" Note: Azure GPT not available, using template description") + return f"A carefully designed {category if category else 'furniture'} object with specific aesthetic and functional properties." + + except ImportError as e: + print(f" Warning: gpt_description_generator not available: {e}") + return f"A {category if category else 'furniture'} object with specific design characteristics." + except Exception as e: + print(f" Warning: Failed to generate description with GPT: {e}") + return f"A {category if category else 'furniture'} object" + + +def update_layout_with_descriptions(layout: Dict, descriptions: Dict): + """ + 更新layout中的description字段 + + Args: + layout: layout字典 + descriptions: model_uid -> description的映射 + """ + if "instances" not in layout: + return + + for instance in layout["instances"]: + if "model_uid" in instance: + uid = instance["model_uid"] + if uid in descriptions: + instance["description"] = descriptions[uid] + + +def process_scannet_scenes(base_dir: str, asset_library_dir: str, + cache_file: str = None, dry_run: bool = False): + """ + 处理ScanNet数据集下的所有场景 + + Args: + base_dir: 包含场景文件夹的基础目录 + asset_library_dir: 资产库目录 + cache_file: 缓存文件路径 + dry_run: 干运行模式 + """ + # 初始化描述管理器 + description_manager = AssetDescriptionManager(cache_file) + + print(f"Description Manager Stats: {description_manager.get_stats()}") + print(f"Base directory: {base_dir}") + print(f"Asset library: {asset_library_dir}") + + # 找到所有layout_with_boundary.json文件（优先使用这个文件） + layout_files = [] + for root, dirs, files in os.walk(base_dir): + # 优先使用 layout_with_boundary.json + if "layout_with_boundary.json" in files: + layout_files.append(os.path.join(root, "layout_with_boundary.json")) + elif "layout_with_bounds.json" in files: + layout_files.append(os.path.join(root, "layout_with_bounds.json")) + elif "layout.json" in files: + layout_files.append(os.path.join(root, "layout.json")) + + print(f"\nFound {len(layout_files)} layout files") + + # 处理每个layout文件 + all_stats = { + "total_scenes": len(layout_files), + "processed": 0, + "total_instances": 0, + "unique_uids": 0, + "already_processed": 0, + "newly_processed": 0, + "not_found": 0, + "errors": 0 + } + + for layout_file in sorted(layout_files): + try: + stats = process_scene_layout( + layout_file, asset_library_dir, description_manager, + dry_run=dry_run + ) + + all_stats["processed"] += 1 + all_stats["total_instances"] += stats["total_instances"] + all_stats["unique_uids"] += stats["unique_uids"] + all_stats["already_processed"] += stats["already_processed"] + all_stats["newly_processed"] += stats["newly_processed"] + all_stats["not_found"] += stats["not_found"] + all_stats["errors"] += stats["errors"] + + except Exception as e: + print(f"Error processing {layout_file}: {e}") + + # 输出汇总信息 + print("\n" + "="*60) + print("SUMMARY") + print("="*60) + print(f"Scenes processed: {all_stats['processed']}/{all_stats['total_scenes']}") + print(f"Total instances: {all_stats['total_instances']}") + print(f"Unique UIDs: {all_stats['unique_uids']}") + print(f"Already processed: {all_stats['already_processed']}") + print(f"Newly processed: {all_stats['newly_processed']}") + print(f"Not found: {all_stats['not_found']}") + print(f"Errors: {all_stats['errors']}") + print(f"\nDescription cache: {description_manager.cache_file}") + print(f"Total cached: {len(description_manager.cache)}") + + +def main(): + parser = argparse.ArgumentParser( + description="Process 3D assets and generate descriptions using GPT" + ) + + parser.add_argument( + "--base-dir", + default="/home/v-meiszhang/backup/datas/InternScenes/Layout_info/scannet", + help="Base directory containing scene folders" + ) + + parser.add_argument( + "--asset-library", + default="/home/v-meiszhang/backup/datas/InternScenes/asset_library", + help="Asset library directory" + ) + + parser.add_argument( + "--cache-file", + help="Path to description cache file (default: tools/asset_descriptions.json)" + ) + + parser.add_argument( + "--dry-run", + action="store_true", + help="Dry run mode - don't save descriptions" + ) + + parser.add_argument( + "--scene", + help="Process single scene (e.g., scene0000_00)" + ) + + args = parser.parse_args() + + # 检查目录 + if not os.path.exists(args.base_dir): + print(f"Error: Base directory not found: {args.base_dir}") + sys.exit(1) + + if not os.path.exists(args.asset_library): + print(f"Error: Asset library not found: {args.asset_library}") + sys.exit(1) + + # 初始化描述管理器 + description_manager = AssetDescriptionManager(args.cache_file) + + if args.scene: + # 处理单个场景 - 优先使用 layout_with_boundary.json + layout_path = os.path.join(args.base_dir, args.scene, "layout_with_boundary.json") + if not os.path.exists(layout_path): + # 尝试其他文件名 + for fname in ["layout_with_bounds.json", "layout.json"]: + alt_path = os.path.join(args.base_dir, args.scene, fname) + if os.path.exists(alt_path): + layout_path = alt_path + break + + if not os.path.exists(layout_path): + print(f"Error: Layout file not found for scene {args.scene}") + sys.exit(1) + + stats = process_scene_layout( + layout_path, args.asset_library, description_manager, + dry_run=args.dry_run + ) + + print("\nScene Processing Summary:") + print(f" Total instances: {stats['total_instances']}") + print(f" Unique UIDs: {stats['unique_uids']}") + print(f" Already processed: {stats['already_processed']}") + print(f" Newly processed: {stats['newly_processed']}") + print(f" Not found: {stats['not_found']}") + print(f" Errors: {stats['errors']}") + else: + # 处理所有场景 + process_scannet_scenes( + args.base_dir, + args.asset_library, + args.cache_file, + args.dry_run + ) + + +if __name__ == "__main__": + main() diff --git a/tools/asset_description/process_asset_descriptions_mp.py b/tools/asset_description/process_asset_descriptions_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..884c6b146797263db1b6ba6e275bc0b8514f3b74 --- /dev/null +++ b/tools/asset_description/process_asset_descriptions_mp.py @@ -0,0 +1,645 @@ +#!/usr/bin/env python3 +""" +Asset Description Processing Pipeline (Multi-process version) +为3D资产添加description字段的完整流程 - 多进程优化版本 +使用 Blender 进行多视角渲染 + +需要在 blender conda 环境中运行: + conda activate blender + python tools/process_asset_descriptions_mp.py --dataset all +""" + +import argparse +import os +import json +import sys +import time +import tempfile +import shutil +from pathlib import Path +from typing import List, Dict, Set, Optional, Tuple +from multiprocessing import Pool, cpu_count +import traceback + +# 添加项目路径 +SCRIPT_DIR = Path(__file__).parent # tools/asset_description +TOOLS_DIR = SCRIPT_DIR.parent # tools +REPO_ROOT = TOOLS_DIR.parent # project root +sys.path.insert(0, str(REPO_ROOT)) + +from tools.asset_description.asset_description_manager import AssetDescriptionManager +from tools.asset_description.asset_finder import AssetFinder + +# 尝试导入 bpy +try: + import bpy + from mathutils import Vector + HAS_BPY = True +except ImportError: + HAS_BPY = False + print("Warning: bpy not available. Please run in blender conda environment:") + print(" conda activate blender") + + +# Global variables - 全局共享，只初始化一次 +_description_manager = None # 全局缓存管理器 +_asset_finder = None +_render_output_base = None +_save_renders = False +_asset_library_dir = None + + +def init_globals(cache_file: str, asset_library_dir: str, + render_output_base: str = None, save_renders: bool = False): + """初始化全局变量，只在程序开始时调用一次""" + global _description_manager, _asset_finder, _render_output_base, _save_renders, _asset_library_dir + + if _description_manager is None: + _description_manager = AssetDescriptionManager(cache_file) + print(f"✓ Loaded description cache: {len(_description_manager.cache)} entries") + + _asset_finder = AssetFinder(asset_library_dir) + _asset_library_dir = asset_library_dir + _render_output_base = render_output_base + _save_renders = save_renders + + +def init_worker(asset_library_dir: str, render_output_base: str, save_renders: bool): + """Initialize worker process (不需要重新加载缓存，因为是只读的)""" + global _asset_finder, _render_output_base, _save_renders + _asset_finder = AssetFinder(asset_library_dir) + _render_output_base = render_output_base + _save_renders = save_renders + + +def render_with_blender(glb_path: str, output_dir: str, num_views: int = 4, + width: int = 512, height: int = 512) -> List[str]: + """ + 使用Blender渲染GLB资产的多个视角（直接调用bpy） + + Args: + glb_path: GLB文件路径 + output_dir: 输出目录 + num_views: 视角数量 + width: 图像宽度 + height: 图像高度 + + Returns: + 渲染图像路径列表 + """ + if not HAS_BPY: + print(" Error: bpy not available") + return [] + + import math + + os.makedirs(output_dir, exist_ok=True) + + try: + # 重置场景 + bpy.ops.wm.read_factory_settings(use_empty=True) + + # 导入GLB + bpy.ops.import_scene.gltf(filepath=glb_path) + imported = list(bpy.context.selected_objects) + if not imported: + print(f" No objects imported from {glb_path}") + return [] + + # 计算边界 + min_corner = Vector((float("inf"), float("inf"), float("inf"))) + max_corner = Vector((float("-inf"), float("-inf"), float("-inf"))) + has_mesh = False + + for obj in imported: + if obj.type != "MESH": + continue + has_mesh = True + for vertex in obj.bound_box: + world_corner = obj.matrix_world @ Vector(vertex) + min_corner.x = min(min_corner.x, world_corner.x) + min_corner.y = min(min_corner.y, world_corner.y) + min_corner.z = min(min_corner.z, world_corner.z) + max_corner.x = max(max_corner.x, world_corner.x) + max_corner.y = max(max_corner.y, world_corner.y) + max_corner.z = max(max_corner.z, world_corner.z) + + if not has_mesh: + min_corner = Vector((-1, -1, -1)) + max_corner = Vector((1, 1, 1)) + + center = (min_corner + max_corner) * 0.5 + extent = max_corner - min_corner + radius = max(extent.length / 2.0, 0.1) + + # 设置灯光 + key_data = bpy.data.lights.new("KeyLight", type="SUN") + key_light = bpy.data.objects.new("KeyLight", key_data) + bpy.context.collection.objects.link(key_light) + key_light.location = center + Vector((radius * 2, -radius * 2, radius * 3)) + key_light.data.energy = 3.0 + + fill_data = bpy.data.lights.new("FillLight", type="SUN") + fill_light = bpy.data.objects.new("FillLight", fill_data) + bpy.context.collection.objects.link(fill_light) + fill_light.location = center + Vector((-radius * 2, radius, radius * 2)) + fill_light.data.energy = 1.5 + + # 设置世界 + scene = bpy.context.scene + if scene.world is None: + scene.world = bpy.data.worlds.new("AssetWorld") + scene.world.use_nodes = True + bg_node = scene.world.node_tree.nodes.get("Background") + if bg_node: + bg_node.inputs[0].default_value = (1.0, 1.0, 1.0, 1.0) + scene.render.film_transparent = True + scene.render.image_settings.color_mode = "RGBA" + + # 设置渲染参数 + render = scene.render + render.resolution_x = width + render.resolution_y = height + render.resolution_percentage = 100 + render.image_settings.file_format = "PNG" + + # 使用EEVEE快速渲染 + available_engines = {item.identifier for item in render.bl_rna.properties["engine"].enum_items} + if "BLENDER_EEVEE_NEXT" in available_engines: + render.engine = "BLENDER_EEVEE_NEXT" + elif "BLENDER_EEVEE" in available_engines: + render.engine = "BLENDER_EEVEE" + + # 创建相机 + camera_data = bpy.data.cameras.new("AssetCamera") + camera = bpy.data.objects.new("AssetCamera", camera_data) + bpy.context.collection.objects.link(camera) + scene.camera = camera + camera.data.type = "PERSP" + camera.data.lens = 35.0 + camera.data.clip_start = 0.01 + camera.data.clip_end = radius * 100.0 + + # 视角配置: (azimuth, elevation) + view_configs = [ + (45, 25), (135, 25), (225, 25), (315, 25), + (0, 45), (90, 45), (180, 45), (270, 45), + ] + + output_paths = [] + distance_factor = 2.5 + + for i in range(min(num_views, len(view_configs))): + azimuth, elevation = view_configs[i] + azimuth_rad = math.radians(azimuth) + elevation_rad = math.radians(elevation) + + distance = radius * distance_factor + x = center.x + distance * math.cos(elevation_rad) * math.cos(azimuth_rad) + y = center.y + distance * math.cos(elevation_rad) * math.sin(azimuth_rad) + z = center.z + distance * math.sin(elevation_rad) + + camera.location = Vector((x, y, z)) + + direction = center - camera.location + if direction.length > 1e-6: + direction.normalize() + quat = direction.to_track_quat("-Z", "Y") + camera.rotation_euler = quat.to_euler() + + output_path = os.path.join(output_dir, f"view_{i:02d}.png") + scene.render.filepath = output_path + bpy.ops.render.render(write_still=True) + + if os.path.exists(output_path): + output_paths.append(output_path) + + return output_paths + + except Exception as e: + print(f" Blender render error: {e}") + return [] + + +def generate_description_from_images(image_paths: List[str], category: str = None) -> str: + """ + 调用Azure GPT生成描述 + """ + try: + from tools.gpt_description_generator import GPTDescriptionGenerator + + generator = GPTDescriptionGenerator() + if generator.available: + description = generator.generate_description_from_images(image_paths, category) + return description + else: + return f"A carefully designed {category if category else 'furniture'} object with specific aesthetic and functional properties." + + except Exception as e: + print(f" Warning: GPT error: {e}") + return f"A {category if category else 'furniture'} object" + + +def process_single_asset(args: Tuple[str, str, int]) -> Tuple[str, str, bool, str]: + """ + 处理单个资产 (用于多进程) + + Args: + args: (model_uid, category, index) + + Returns: + (model_uid, description, success, error_message) + + 注意：不在 worker 中保存缓存，由主进程统一保存 + """ + global _asset_finder, _render_output_base, _save_renders + + model_uid, category, idx = args + + try: + # 查找GLB文件 + asset_info = _asset_finder.find_asset_info(model_uid) + + if not asset_info["found"]: + return (model_uid, None, False, "GLB not found") + + glb_path = asset_info["glb_path"] + asset_category = asset_info.get("category") or category + + # 确定渲染输出目录 + if _save_renders and _render_output_base: + # 保存渲染图像到永久目录 + safe_uid = model_uid.replace("/", "_").replace("\\", "_") + render_dir = os.path.join(_render_output_base, safe_uid) + use_temp = False + else: + # 使用临时目录 + render_dir = tempfile.mkdtemp(prefix="asset_render_") + use_temp = True + + try: + # 使用Blender渲染 + rendered_images = render_with_blender(glb_path, render_dir, num_views=4) + + if not rendered_images: + description = f"A {asset_category if asset_category else 'furniture'} object" + else: + # 使用GPT生成描述 + description = generate_description_from_images(rendered_images, asset_category) + + # 返回结果，由主进程保存到缓存 + return (model_uid, description, True, "processed") + + finally: + # 如果使用临时目录，清理 + if use_temp and os.path.exists(render_dir): + shutil.rmtree(render_dir, ignore_errors=True) + + except Exception as e: + error_msg = f"{type(e).__name__}: {str(e)}" + return (model_uid, None, False, error_msg) + + +def find_all_layout_files(base_dir: str) -> List[str]: + """ + 查找所有 layout 文件 + """ + layout_files = [] + for root, dirs, files in os.walk(base_dir): + for fname in ["layout_with_boundary.json", "layout_with_bounds.json"]: + if fname in files: + layout_files.append(os.path.join(root, fname)) + break # 每个目录只取一个 + return layout_files + + +def process_layout_file( + layout_path: str, + num_workers: int = 4, + dry_run: bool = False +) -> Dict: + """ + 处理单个 layout 文件，使用多进程处理其中的资产 + 使用全局的 _description_manager + """ + global _description_manager, _asset_library_dir + + scene_name = os.path.basename(os.path.dirname(layout_path)) + print(f"Processing: {scene_name}") + + # 读取 layout + with open(layout_path, 'r', encoding='utf-8') as f: + layout = json.load(f) + + # 收集需要处理的 model_uids (跳过已有 description 的) + model_uids = {} + already_has_desc = 0 + if "instances" in layout: + for instance in layout["instances"]: + if "model_uid" in instance: + # 如果 instance 已经有 description，跳过 + if "description" in instance and instance["description"]: + already_has_desc += 1 + continue + uid = instance["model_uid"] + category = instance.get("category", None) + if uid not in model_uids: + model_uids[uid] = category + + # 统计 + stats = {"total": len(model_uids), "cached": 0, "processed": 0, "failed": 0, "not_found": 0, "already_has_desc": already_has_desc} + + # 检查缓存（使用全局的 _description_manager） + to_process = [] + descriptions = {} + for uid, category in model_uids.items(): + if _description_manager.has_description(uid): + descriptions[uid] = _description_manager.get_description(uid) + stats["cached"] += 1 + else: + to_process.append((uid, category, len(to_process))) + + print(f"Total UIDs: {stats['total']}, Cached: {stats['cached']}, To process: {len(to_process)}") + + if dry_run: + print(f"[DRY RUN] Would process {len(to_process)} assets") + return stats + + if not to_process: + # 全部已缓存，只需更新 layout + pass + else: + # 使用多进程处理 + render_output_base = _render_output_base or "" + + start_time = time.time() + + with Pool( + processes=min(num_workers, len(to_process)), + initializer=init_worker, + initargs=(_asset_library_dir, render_output_base, _save_renders) + ) as pool: + + for i, result in enumerate(pool.imap_unordered(process_single_asset, to_process)): + model_uid, description, success, status = result + + if success: + stats["processed"] += 1 + if description: + descriptions[model_uid] = description + # 保存到全局缓存 + _description_manager.set_description(model_uid, description) + else: + if status == "GLB not found": + stats["not_found"] += 1 + else: + stats["failed"] += 1 + + # 简短进度 + if (i + 1) % 10 == 0 or (i + 1) == len(to_process): + print(f" Progress: {i+1}/{len(to_process)}") + + elapsed = time.time() - start_time + print(f"Processing time: {elapsed:.1f}s") + + # 更新 layout 文件 + modified = False + for instance in layout.get("instances", []): + uid = instance.get("model_uid") + if uid and uid in descriptions and "description" not in instance: + instance["description"] = descriptions[uid] + modified = True + + if modified: + with open(layout_path, 'w', encoding='utf-8') as f: + json.dump(layout, f, ensure_ascii=False, indent=2) + print(f"✓ Updated layout file") + + print(f"Summary: cached={stats['cached']}, processed={stats['processed']}, " + f"not_found={stats['not_found']}, failed={stats['failed']}") + + return stats + + +def process_dataset( + dataset_name: str, + layout_files: List[str], + num_workers: int = 4, + dry_run: bool = False +): + """ + 处理整个数据集，逐个处理 layout 文件 + 使用全局的 _description_manager + """ + print("\n" + "=" * 60) + print(f"DATASET: {dataset_name} ({len(layout_files)} scenes)") + print("=" * 60) + + if not layout_files: + print("No layout files, skipping") + return + + # 汇总统计 + total_stats = {"total": 0, "cached": 0, "processed": 0, "failed": 0, "not_found": 0, "scenes": 0} + + for idx, layout_path in enumerate(sorted(layout_files), 1): + print(f"\n[{idx}/{len(layout_files)}] ", end="") + + try: + stats = process_layout_file( + layout_path, + num_workers, + dry_run + ) + + total_stats["scenes"] += 1 + total_stats["total"] += stats["total"] + total_stats["cached"] += stats["cached"] + total_stats["processed"] += stats["processed"] + total_stats["failed"] += stats["failed"] + total_stats["not_found"] += stats["not_found"] + + except Exception as e: + print(f"Error processing {layout_path}: {e}") + traceback.print_exc() + + # 数据集汇总 + print("\n" + "=" * 60) + print(f"DATASET SUMMARY: {dataset_name}") + print("=" * 60) + print(f"Scenes processed: {total_stats['scenes']}") + print(f"Total assets: {total_stats['total']}") + print(f"Cached: {total_stats['cached']}") + print(f"Processed: {total_stats['processed']}") + print(f"Not found: {total_stats['not_found']}") + print(f"Failed: {total_stats['failed']}") + + +def main(): + # 检查 bpy 是否可用 + if not HAS_BPY: + print("=" * 60) + print("ERROR: bpy module not available!") + print("=" * 60) + print("This script requires Blender's Python environment.") + print("Please run in the 'blender' conda environment:") + print() + print(" conda activate blender") + print(" python tools/process_asset_descriptions_mp.py --dataset all") + print() + sys.exit(1) + + parser = argparse.ArgumentParser( + description="Process 3D assets and generate descriptions using GPT (Multi-process)" + ) + + parser.add_argument( + "--base-dir", + default="/home/v-meiszhang/backup/datas/InternScenes/Layout_info", + help="Base directory containing dataset folders (scannet, 3rscan, arkitscenes)" + ) + + parser.add_argument( + "--dataset", + choices=["scannet", "3rscan", "arkitscenes", "all"], + default="all", + help="Which dataset to process" + ) + + parser.add_argument( + "--asset-library", + default="/home/v-meiszhang/backup/datas/InternScenes/asset_library", + help="Asset library directory" + ) + + parser.add_argument( + "--cache-file", + help="Path to description cache file" + ) + + parser.add_argument( + "--dry-run", + action="store_true", + help="Dry run mode" + ) + + parser.add_argument( + "--scene", + help="Process single scene (e.g., scene0000_00)" + ) + + parser.add_argument( + "--workers", "-j", + type=int, + default=4, + help="Number of worker processes" + ) + + parser.add_argument( + "--save-renders", + action="store_true", + help="Save rendered images instead of deleting them" + ) + + parser.add_argument( + "--render-output-dir", + help="Directory to save rendered images (when --save-renders is used)" + ) + + args = parser.parse_args() + + # 检查目录 + if not os.path.exists(args.base_dir): + print(f"Error: Base directory not found: {args.base_dir}") + sys.exit(1) + + if not os.path.exists(args.asset_library): + print(f"Error: Asset library not found: {args.asset_library}") + sys.exit(1) + + # 确定要处理的数据集目录 + dataset_dirs = [] + if args.dataset == "all": + # 处理所有数据集 + for dataset in ["scannet", "3rscan"]: + dataset_path = os.path.join(args.base_dir, dataset) + if os.path.exists(dataset_path): + dataset_dirs.append((dataset, dataset_path)) + + # arkitscenes 有 Training 和 Validation 子目录 + arkit_base = os.path.join(args.base_dir, "arkitscenes") + if os.path.exists(arkit_base): + for split in ["Training", "Validation"]: + split_path = os.path.join(arkit_base, split) + if os.path.exists(split_path): + dataset_dirs.append((f"arkitscenes/{split}", split_path)) + elif args.dataset == "arkitscenes": + # arkitscenes 特殊处理 + arkit_base = os.path.join(args.base_dir, "arkitscenes") + for split in ["Training", "Validation"]: + split_path = os.path.join(arkit_base, split) + if os.path.exists(split_path): + dataset_dirs.append((f"arkitscenes/{split}", split_path)) + else: + dataset_path = os.path.join(args.base_dir, args.dataset) + if os.path.exists(dataset_path): + dataset_dirs.append((args.dataset, dataset_path)) + + if not dataset_dirs: + print(f"Error: No valid dataset directories found") + sys.exit(1) + + # 预先获取所有 layout 文件 + dataset_layouts = [] + print("=" * 60) + print("DATASETS TO PROCESS:") + print("=" * 60) + for name, path in dataset_dirs: + layout_files = find_all_layout_files(path) + dataset_layouts.append((name, layout_files)) + print(f" {name}: {len(layout_files)} scenes") + print() + + # 初始化全局变量（只做一次） + cache_file = args.cache_file or str(SCRIPT_DIR / "asset_descriptions.json") + render_output_base = args.render_output_dir if args.save_renders else None + init_globals(cache_file, args.asset_library, render_output_base, args.save_renders) + + if args.scene: + # 处理单个场景 - 需要在正确的数据集目录中查找 + found = False + for name, dataset_path in dataset_dirs: + scene_path = os.path.join(dataset_path, args.scene) + if os.path.exists(scene_path): + # 找到 layout 文件 + layout_path = None + for fname in ["layout_with_boundary.json", "layout_with_bounds.json"]: + path = os.path.join(scene_path, fname) + if os.path.exists(path): + layout_path = path + break + + if layout_path: + process_layout_file( + layout_path, + args.workers, + args.dry_run + ) + found = True + break + if not found: + print(f"Error: Scene {args.scene} not found in any dataset") + sys.exit(1) + else: + # 依次处理每个数据集 + for name, layout_files in dataset_layouts: + process_dataset( + name, + layout_files, + args.workers, + args.dry_run + ) + + +if __name__ == "__main__": + main() diff --git a/tools/asset_description/uid_to_category.json b/tools/asset_description/uid_to_category.json new file mode 100644 index 0000000000000000000000000000000000000000..a74023c5dee7c40b2993ee45b019106fde7a67c4 --- /dev/null +++ b/tools/asset_description/uid_to_category.json @@ -0,0 +1,14342 @@ +{ + "partnet_mobility/103311": "window", + "partnet_mobility/103056": "window", + "partnet_mobility/34617": "table", + "partnet_mobility/47729": "cabinet", + "hssd-models/objects/2/2d1ab5502d369b889e1121b26cc50cad703dfd6f": "shower", + "gr100/home-others-curtain-14df3ee9a690c4767ba870da32919f67": "curtain", + "gr100/home-others-curtain-530881554eb0969aba7b6fbd07419a29": "curtain", + "partnet_mobility/26657": "table", + "partnet_mobility/47701": "cabinet", + "hssd-models/objects/6/6cef10bb7d5b957779798987549d382aec6849c6": "sink", + "hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355": "scale", + "partnet_mobility/4108": "bin", + "partnet_mobility/102210": "object", + "partnet_mobility/103013": "bin", + "partnet_mobility/4627": "monitor", + "gr100/commercial-others-pillow-5de121e27b4b275eb9b267a259437701": "pillow", + "partnet_mobility/6934": "clock", + "objaverse/b8f7d5d49fc7426b9e9f88c619022c99": "backpack", + "hssd-models/objects/1/11784b6fa57207d9f49ee6732224ff7443bb4d02": "stool", + "3D-FUTURE-model/8e9783b3-2885-45bf-b926-07587fa1833f": "stool", + "hssd-models/objects/9/999ce14924d99d6da8b84000c6e16b1fb6ce1a08": "stool", + "gen_assets/R-couch/1b8d76cdbfba43829563ba3fc99886a0": "couch", + "partnet_mobility/10627": "refrigerator", + "partnet_mobility/29133": "table", + "partnet_mobility/32052": "table", + "partnet_mobility/102708": "toilet", + "3D-FUTURE-model/22da2ff5-6dd3-4c99-b179-b075a35eb3eb": "bed", + "partnet_mobility/47443": "cabinet", + "partnet_mobility/45387": "cabinet", + "partnet_mobility/46199": "cabinet", + "partnet_mobility/46019": "cabinet", + "gr100/home-others-cabinet-06e16e91e80b6a6db4b91b7febe52ddf": "cabinet", + "partnet_mobility/46437": "cabinet", + "partnet_mobility/102060": "stove", + "hssd-models/objects/a/ab9e7948fa591932fcf4813a2eed1d4269b5498e": "basket", + "hssd-models/objects/4/43ea3f403dc977aebb0ca5ce4fa71297185c8be7": "guitar", + "hssd-models/objects/1/1472a0b835223f7c39e850146dbde04d28e99da1": "tissue box", + "partnet_mobility/48169": "cabinet", + "partnet_mobility/45420": "cabinet", + "objaverse_old/6dbbd66c154f47dcbfdbcd210446f4fa": "dish rack", + "partnet_mobility/7296": "microwave", + "partnet_mobility/103561": "toaster", + "partnet_mobility/9263": "door", + "hssd-models/objects/8/8f79b25bf93105c849e172333193374d16441ad0": "shelf", + "hssd-models/objects/3/323e91a7be4f48ea6f7f451d5f1d22edb030930c": "bicycle", + "hssd-models/objects/c/c8b5bac9217dd13b6eb65e0cb4dfaa2852fce3db": "shoe", + "objaverse/d964e2b610024301aec93d42ea628352": "lamp", + "gr100/commercial-others-cup-44ec4f26426fbcab582b8aa1842580e6": "cup", + "objaverse/f5ea1c211113479d9f642529402288e7": "toy", + "objaverse/e0b3b937380e4e9a80f51dae5c3bb778": "backpack", + "hssd-models/objects/openings/211-36": "doorframe", + "gr100/home-others-mirror-f6c117de29bb3ec19d15457cf6d49b55": "mirror", + "objaverse_old/d0fbadd14710419388a40d7505fca6c4": "doorframe", + "partnet_mobility/2364": "chair", + "objaverse/8f5bcdc1b8ec47a395402c0284b47d6e": "speaker", + "gr100/home-others-plant-0ffd448b79e7cea62c740a3273c1eb94": "plant", + "gr100/commercial-others-book-c371b111817bf9fc4831492311b7290a": "book", + "gr100/home-others-book-fda3339cb0fad47b2df1116f918cb5bb": "book", + "objaverse_old/77e17b8715ef4a07aeb5c8105a0c9393": "paper", + "gr100/commercial-others-book-8a9105a21cfbad67d6a1a36cc040ee14": "book", + "objaverse/197bf3f2cb4d40f28fbbbaf7191ad019": "bag", + "objaverse/d150454f2ce94372a164dc06f7538803": "computer", + "partnet_mobility/101002": "remote control", + "objaverse_old/ac6c00e9d60e423e8b1de41252004f7f": "paper", + "objaverse/49d0b3d6bd134acb8c4804b972151d29": "plate", + "objaverse_old/1cbd097b5612456ba78b782a8221144e": "paper", + "partnet_mobility/104038": "remote control", + "hssd-models/objects/6/6267aeaf1c9312e3d756923ede63c52c074ce307": "pillow", + "gr100/home-others-pillow-efe6b54f52079980e13fa19e9b07b92d": "pillow", + "hssd-models/objects/x/xxxx8a64d36ax736ax4dc9x99f8xa2b68365e94e": "pillow", + "hssd-models/objects/9/94caa134a7e999d3a8df744064177f2350593df1": "pillow", + "gr100/commercial-others-pillow-4e976ee69cb37bcb35d250575f7fc654": "pillow", + "hssd-models/objects/b/ba01530d043d906de59d3cebf910365e2d0f3b23": "pillow", + "objaverse_old/7e12160f27c94a2fb121fc14878fc972": "paper", + "objaverse/7eb9549a6db1488e8b558bf6eedec6ae": "teapot", + "hssd-models/objects/f/fcd3cdb03e553cd619428f7b0029ea46bd6bd977": "basket", + "gr100/commercial-others-picture-56087eb8130d0e371a50e10616ba126e": "picture", + "gr100/commercial-others-cup-f955665b023ec5db2036a58ac39329bf": "cup", + "objaverse/037b03a3e0274279be4b93b7c7cedf01": "box", + "hssd-models/objects/9/92b0589a6aeb4104cc9b5dc68ad5673f03d41cdb": "carpet", + "gr100/home-others-cup-2ecb8b8b0df7dcb89b62ff1b8a7b0567": "cup", + "gr100/home-others-book-3c22c63e1486ea917350c146b51e38b3": "book", + "hssd-models/objects/a/a13475d927ae8e04cd3bbfa6e384ee0330d8e6a3": "pillow", + "gr100/commercial-others-basket-70c119f3917e33a6592e853b200507ba": "basket", + "gr100/commercial-others-picture-5bbee9cdcef36131287da4067d079398": "picture", + "gr100/commercial-others-picture-535dbb0da8cab89913c4246fd6d03180": "picture", + "gr100/commercial-others-shoe-f2cf349d880229fdba42fcede0ff911e": "shoe", + "gr100/home-others-book-6e0e47532a4bddbceb93a55c1d4b3518": "book", + "hssd-models/objects/7/78bd5dbf1d365e2f34c10dc468a5decf3024e79b": "carpet", + "hssd-models/objects/a/ad87281ca93b236560306a08f0953ba340e85c3c": "vase", + "gr100/home-others-towel-59b00a957828daa51d39ea043d0e751d": "towel", + "objaverse/1e88c90205f244f2af50e42079062006": "basket", + "gr100/commercial-others-basket-7ed06230ee8cbca3b4ca9ca3bef2de56": "basket", + "objaverse/b6aa6e7f91d545f3bb5d4027a83e2da1": "basket", + "objaverse_old/181e3f451b1f40a6aa17702a8648760b": "paper", + "objaverse/4d19f0d33802411d83ff9061c033268d": "teapot", + "hssd-models/objects/4/491b19211376dfda637fbbaec406cd5c7d4e6ae1": "vase", + "gr100/commercial-others-bottle-07249a8ffce099b71b995ad9b8e15cd1": "bottle", + "objaverse/538e1ff6ba0f44fc9ff498b62d89f970": "box", + "objaverse/06f95c94a25b4ab1883ed3b8929cca9d": "box", + "objaverse/9ecfaed39d23496d803708155a47a3aa": "shoe", + "partnet_mobility/100906": "switch", + "gr100/home-others-towel-3539dd8d0bbe458f390a03842c98800e": "towel", + "partnet_mobility/100033": "pan", + "objaverse/af514ae1105f4aa5b0496a79e42a0fee": "fruit", + "gr100/commercial-others-bowl-55b8dc1be14ca07768041de21b89b1b1": "bowl", + "hssd-models/objects/0/0235b214f27bbe9539c1b9ca31a6ebd252f92c77": "can", + "objaverse/a7d2d52882c440c1a8ee0815cd314765": "box", + "objaverse/444a0c2f7ed449be9f127341b4eb2137": "hat", + "partnet_mobility/15913": "light", + "gr100/home-others-towel-f513f4f1ac9b788c47f92f0130486402": "towel", + "hssd-models/objects/5/5180a31c4bc56d00c3e83c4d21492f9edcb95ce3": "basket", + "partnet_mobility/7290": "oven", + "objaverse/be092afcba1b455f921b9e4a10d89c5d": "shovel", + "gr100/home-others-towel-1ac98137ddc9165c48c0f7562b301d69": "towel", + "partnet_mobility/9280": "door", + "objaverse/c9fc88f23ac34b62bd18aa46f0991ec8": "hat", + "gr100/commercial-others-book-9f252b71e90759c4a8099a8f4753e95a": "book", + "objaverse_old/2252e98897134a1a8be1f9080cb97942": "wrap", + "gr100/home-others-mirror-97de0bbed16e06ab7c171f40938f31fb": "mirror", + "partnet_mobility/10357": "bin", + "partnet_mobility/103040": "window", + "hssd-models/objects/6/689686140b7ab8fd656ce588f10f8c40568da3bf": "kettle", + "gr100/home-others-shoe-e0cbfaa6bb038f2c53f13f9bc969b523": "shoe", + "partnet_mobility/100839": "case", + "partnet_mobility/30666": "table", + "partnet_mobility/46130": "cabinet", + "3D-FUTURE-model/4811feb8-3e44-43ad-ab37-5a82e47a2ae2": "stool", + "3D-FUTURE-model/04714e6c-2095-4bd0-9158-bbfd92db067d": "stool", + "3D-FUTURE-model/5f25bc9d-3a6e-45e7-8c8c-e40b1d39e2a8": "stool", + "3D-FUTURE-model/1269b743-a5e4-4367-8d62-3e9f1d894ce4": "stool", + "partnet_mobility/11299": "refrigerator", + "hssd-models/objects/f/f06c68f87b5d56cb825f7029249c1eea91dace92": "pillow", + "partnet_mobility/103639": "bin", + "partnet_mobility/4853": "monitor", + "gr100/home-others-backpack-a0b702205df5d8cc1d28436e2a5f2e6b": "backpack", + "partnet_mobility/6813": "clock", + "hssd-models/objects/9/9698b67f0b863ee3d6d761478c2aac4f2e06310f": "bed", + "partnet_mobility/45633": "cabinet", + "hssd-models/objects/9/9a5a9e0fbb8c1f17f8488fbd602695bc85635816": "ottoman", + "partnet_mobility/46403": "cabinet", + "partnet_mobility/46896": "cabinet", + "partnet_mobility/45749": "cabinet", + "partnet_mobility/46768": "cabinet", + "partnet_mobility/40453": "cabinet", + "partnet_mobility/47954": "cabinet", + "partnet_mobility/48513": "cabinet", + "hssd-models/objects/2/2e29310bdf8a7d8b3f0e90e0d7aa18c929a5006b": "shower", + "partnet_mobility/7236": "microwave", + "partnet_mobility/47315": "cabinet", + "partnet_mobility/47711": "cabinet", + "hssd-models/objects/7/7e2ac0ab60d1eb757e125b4907ddadae7b184647": "sink", + "gen_assets/R-couch/7437ba359a5d4eff8dceadbc1919f976": "couch", + "partnet_mobility/44441": "chair", + "objaverse_old/fb84d93bbeb0459a8140f0cca9d6a28e": "hanger", + "objaverse/087a74906aa24b44b7b1cd0def74ec9f": "lamp", + "gr100/home-others-pillow-515afc167b87d6af4f265143f2dda67f": "pillow", + "hssd-models/objects/b/b9f34fec251e217addccee9fc021905f76eaef13": "pillow", + "hssd-models/objects/x/xxxxbc782b02x0cfdx46e0xb0a0xc45422544937": "plant", + "objaverse_old/17ef1ba122d342b1ab594401c24c36bd": "paper", + "objaverse_old/afd7419d080945dc9ae421297ba09773": "paper", + "objaverse_old/c5c13b3b960e4c9b9e7d483e996f301a": "paper", + "gr100/home-others-book-6860a70fe28540668161a321ef4faac2": "book", + "objaverse/66464c23eb644fafaeb6f486b09d1db3": "shoe", + "hssd-models/objects/7/79f9c6d53866d1e294c118bab39765751d85a111": "basket", + "hssd-models/objects/4/4e230c4a550f23fc126a47a03808e68747c4953d": "shoe", + "objaverse/9485c098f96542a69e028d3f2e4a60a6": "shoe", + "objaverse/5afaf3ae0c6d496e94f9ba733e0042a7": "fruit", + "gr100/home-others-book-0051a64ab76d7f5cdc6b28f78409fb4b": "book", + "partnet_mobility/100882": "switch", + "gr100/commercial-others-cup-0ab66b499e89ba10a2493c46b2448d20": "cup", + "gr100/commercial-others-towel-db059da14d9c81605c830a3e352cdad3": "towel", + "hssd-models/objects/e/ee21a6317ae6406c1ec070dd4c8b62739f852786": "carpet", + "hssd-models/objects/0/098937e4789f7f95404cc4eddf171387a4749df0": "toilet paper", + "gr100/commercial-others-bottle-f5b4c7a9efbe87ed7f4c08dab82fa992": "bottle", + "hssd-models/objects/9/9184b61f915b5f985b67251ebbf0a155e87bd48c": "washbasin", + "objaverse/34ba28d8a5a24f4ab67fd801ad74e1b6": "basket", + "gr100/home-others-towel-0e2d2e1973dd211b02b23815e808ac73": "towel", + "hssd-models/objects/8/8718b96e8acda5e530bc0eb72a0d3660778ff59a": "basin", + "objaverse/d68d498cf8fa409b8dbfe11335c0cba8": "fruit", + "objaverse/631eaeacef1843f1841770a09c934b1d": "box", + "hssd-models/objects/f/f19868a3be7f5f090e896fb1a5bb7e675d16c9e6": "plate", + "gr100/home-others-plate-00ce5369cf62c08573bb9ef97c359829": "plate", + "hssd-models/objects/6/64f63f10669ba4c9fa799e6f0b9aee5a0e122d77": "bowl", + "objaverse/c6efd7a599514ad28d61e826ae88ac89": "fruit", + "gr100/home-others-picture-822118201ea257622c13b6c9b50d5c9a": "picture", + "gr100/home-others-picture-f943545125c4915786a591f9a637d897": "picture", + "hssd-models/objects/9/993ff1199d078cae6b4da93bd2247b3a3fa72b89": "pillow", + "hssd-models/objects/x/xxxxfd0c8cbfx9cbax42e1xbba6x3d56adb64218": "pillow", + 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"gr100/commercial-others-plate-1c04c612c0bd411c6479d84c603dc82d": "plate", + "objaverse/aa578d64a6d247ddae18cc2cf73c1a06": "teapot", + "objaverse/e915170fbba64b75a3cd8de877d59aa8": "teapot", + "gr100/commercial-others-other-ad28c50d6b723552b7606e2d1cabf732": "object", + "objaverse/8782c57a912b4c7fad80ea7867e7df04": "hat", + "3D-FUTURE-model/4c0f8629-a4e6-4a9e-b8d6-7012f3ad4c69": "couch", + "hssd-models/objects/2/2bc5fe4f4fc48aec41c67e34ebe603bbb53b1d01": "vase", + "3D-FUTURE-model/6052bb84-e1a6-3071-874c-5ae10e3e12ea": "couch", + "3D-FUTURE-model/cf7b801c-9f8e-4ed3-85b8-f73175315728": "light", + "gr100/commercial-others-shelf-c3efec54e1818f894ebe2a7b0e4c9a2f": "shelf", + "3D-FUTURE-model/5befc930-7aeb-4271-b007-ad9b0b22bec3": "couch", + "objaverse/d2b5e837a8c24fa7b4ed68a787d3679b": "vase", + "hssd-models/objects/2/249f41d0f25f697d3b65260f9adb6d857a877b26": "cushion", + "objaverse/9ff256dc96f246cc875f7ebfcad25e94": "fruit", + "objaverse/08dd440442874c8e8ae35494b4aff0a2": "bowl", + "gr100/commercial-others-other-9123ebad158613a20910596704cff6cf": "object", + "objaverse/fc0e130e57bc4bc38ca2a7118a8fcaae": "teapot", + "objaverse/632a7297d0064939ba7625688fbf1d3a": "teapot", + "objaverse/3da14df4143a4dd6a8b8760f34336638": "light", + "gr100/home-others-bowl-2b4fe3da3b3d36202d613b4333a73fc4": "bowl", + "objaverse/416ee9813fb94287b3910fefd22ad1d7": "bowl", + "objaverse/62b405511b0c4ed6a5c0dd428a0d22e9": "can", + "hssd-models/objects/2/2b3b8da73eb3dee895c0652bfc3782e6f221a218": "lamp", + "3D-FUTURE-model/7400940b-2129-43d9-ab09-74c3d83adc97": "light", + "gr100/commercial-others-book-017735d671d1268cb3c6c376b8fd6908": "book", + "objaverse/b37a3d92d35445f3a8dba72a0b7c708a": "lamp", + "objaverse/c91ddb1195f14cc4812a7761c408315b": "hat", + "gr100/home-others-other-8790e255822061b71bcaec5430f066a2": "object", + "3D-FUTURE-model/89190118-3e68-4f86-a6f4-10ad85be929c": "couch", + "gr100/home-others-curtain-3bf8a6b389d53f362a04d455b58fa571": "curtain", + "objaverse/adaa0ed8707848d8b1379bdc97de1e6d": "cup", + "objaverse_old/b32b4cd381554a60b98d6ee1f2831b3d": "toiletry", + "gr100/home-others-stool-1bbdbd309ff86f6deec8ac3fe5d035dc": "stool", + "3D-FUTURE-model/4d46ad3a-750a-4f8f-afff-534a0fe3eec8": "bed", + "objaverse/422c8e6515f3400e8746393c70ed799d": "shoe", + "objaverse/73f901d70ae34951bb09e936a48b4562": "vase", + "gr100/home-others-book-0f865e74a3f213c07414a4b3d411db8b": "book", + "hssd-models/objects/5/5a8e29db883b2ace2e369b8032b8e276ae9339ac": "lamp", + "gr100/home-others-couch-f87c26c761b7b8f3524c0dca6cc68d0d": "couch", + "objaverse/2a898d916dc7448b847ebb094f262363": "bowl", + "gr100/home-others-plant-4b832953c719d818d20c6619ad081e15": "plant", + "objaverse/cd2e5c19833a41eda66488647d5f9d1e": "box", + "objaverse/17ad664addf44a11ba5bd09fd13df1a7": "can", + "objaverse/02145b85eb14409ba6522d139c349d38": "helmets", + "objaverse_old/950c0a1ea4d74fbf8949bfab6d020f8c": "frame", + "objaverse/9302d1b20b03440b9b34f9d7433cf665": "teapot", + "objaverse/1286aabb38ba49d1a31baf22e58a7fc0": "plant", + "3D-FUTURE-model/731509fc-6200-47cd-9e69-5d8ef55c3f8b": "couch", + "gr100/home-articulated-pan-24c1979e44794b7f2b38a2e208075e03": "pan", + "objaverse/047034b1ed1c425595276ba3ae178490": "bin", + "gr100/home-others-towel-1f6bebdea90428c04a44d509c393d68d": "towel", + "gr100/commercial-others-toy-d691d8001f8e43766f2b38510d099783": "toy", + "gr100/home-others-book-1dcdddffe6a7fd2b040dedca391b5b88": "book", + "gr100/home-others-other-629b032a12ce0176640abbc3104e24ad": "object", + "3D-FUTURE-model/b2e5a495-3ff6-4344-8394-299a42891da7": "light", + "objaverse/d622ab7c84f341628b6dd516ce39ccad": "box", + "objaverse/8fe28ef76b084801964c24aa22321f06": "teapot", + "gr100/commercial-others-other-2053a2d4acb3b4de695791f66979df0b": "object", + "objaverse/3728c36897824f878bcb44a4869cf33b": "vase", + "objaverse/13fe81d0df8d4803be04f74b10ac0556": "teapot", + "gr100/commercial-others-other-e4c83faa5f2157e23410d0a934a9edbf": "object", + "3D-FUTURE-model/0b6b6c39-4388-41d7-ac61-265e567c75e8": "couch", + "gr100/commercial-others-toy-b9d58bb302fc85d91d49b5a79fab69ba": "toy", + "3D-FUTURE-model/1baf5b9e-f889-45c7-99a8-6dd0e5a2c899": "couch", + "objaverse/ddd0e399d275441e81318b68eefa0e30": "shoe", + "objaverse/6bd800d3231b42c9bc55600a3abe3dbe": "shoe", + "objaverse_old/7c4231ce3043490bb933cff22ae5e909": "toiletry", + "gr100/home-articulated-trashcan-34d6b2d1f5e85db34fb83ead20bb4af9": "bin", + "gr100/home-others-cup-c6f5dd502acbbef0d1071876ff330f3a": "cup", + "objaverse/b081caa027aa41659dcc31e8014c761d": "book", + "gr100/home-others-book-1ff37e9b4a2605f06173e021f0a90a79": "book", + "gr100/home-others-light-41695251c1d745178d5fd4b09bd5cdc5": "light", + "objaverse/1f124d5de6364378bb937d5bf7c9da6d": "bin", + "objaverse/c18dd33765114c5fb8da2c3e0c0e8c00": "toy", + "objaverse/5785de2db36740fbb258266e60da94c9": "vase", + "objaverse/581caab3cab3465da3058d44434fd747": "box", + "objaverse/38d1b10ae86048bcafa6f6200f159007": "box", + "objaverse_old/98ae00efc6ba4098aab178400a051298": "poster", + "objaverse/df2852724f4940c294ee78f7c94a830b": "vase" +} \ No newline at end of file diff --git a/tools/post_process/align_unified_layout.py b/tools/post_process/align_unified_layout.py new file mode 100644 index 0000000000000000000000000000000000000000..944c315e890a735666ad1efa9c1eb6461ff7a83e --- /dev/null +++ b/tools/post_process/align_unified_layout.py @@ -0,0 +1,561 @@ +#!/usr/bin/env python3 +""" +Align Unified Layout Coordinate System to Z-up + +统一所有数据集到 Z-up 坐标系，弧度制旋转。 + +坐标系标准 (Z-up): + - X: 水平轴 (左右) + - Y: 水平轴 (前后) + - Z: 垂直轴 (高度，向上为正) + - 旋转: 弧度制 + +数据现状分析: +================================================================================ +| 数据源 | boundary | assets pos | assets rot | +|--------------------------------|-------------|-------------|---------------| +| Layout_info/scannet bbox | N/A | Z-up | 弧度 | +| layout_with_boundary.instances | N/A | Z-up | 弧度 | +| layout_with_boundary.boundary | Y-up | N/A | N/A | +| unified-layout/scannet | Y-up | Z-up | 角度 | +| unified-layout/3rscan | Y-up | Z-up | 角度 | +| unified-layout/arkitscenes | Y-up | Z-up | 角度 | +| unified-layout/3d-front | Y-up | Y-up | 弧度 | +================================================================================ + +需要执行的转换: +1. scannet/3rscan/arkitscenes: + - boundary: Y-up -> Z-up + - assets pos: 已经是 Z-up，不变 + - assets rot: 角度 -> 弧度 + +2. 3d-front: + - boundary: Y-up -> Z-up + - assets pos: Y-up -> Z-up + - assets rot: 已经是弧度，但绕轴需要调整 + +Y-up 到 Z-up 转换: + [x, y, z]_yup -> [x, z, -y]_zup + + 即: X不变, Y变成-Z, Z变成Y + +使用方法: + python tools/post_process/align_unified_layout.py --input-dir /path/to/unified-layout --dataset all + python tools/post_process/align_unified_layout.py --input-dir /path/to/unified-layout --dataset 3d-front --in-place +""" + +import argparse +import json +import math +import os +import sys +from pathlib import Path +from typing import Dict, List, Optional, Tuple +from concurrent.futures import ProcessPoolExecutor, as_completed +import traceback +import copy + +# 添加项目路径 +SCRIPT_DIR = Path(__file__).parent +TOOLS_DIR = SCRIPT_DIR.parent +REPO_ROOT = TOOLS_DIR.parent +sys.path.insert(0, str(REPO_ROOT)) + + +def deg_to_rad(deg: float) -> float: + """角度转弧度""" + return deg * math.pi / 180.0 + + +def y_up_to_z_up_pos(pos: List[float]) -> List[float]: + """ + 将位置坐标从 Y-up 转换为 Z-up + + Y-up: [x, y, z] 其中 y 是高度 + Z-up: [x, y, z] 其中 z 是高度 + + 转换: [x, y, z]_yup -> [x, -z, y]_zup + + 这样可以保持: + - 原来的X仍是X + - 原来向上的Y变成向上的Z + - 原来的Z变成-Y (保持右手系) + """ + if len(pos) != 3: + return pos + x, y, z = pos + # Y-up to Z-up: X不变, Y(高度)变Z, Z变-Y + return [round(x, 4), round(-z, 4), round(y, 4)] + + +def y_up_to_z_up_size(size: List[float]) -> List[float]: + """ + 将尺寸从 Y-up 转换为 Z-up + + Y-up size: [sx, sy, sz] 其中 sy 是高度 + Z-up size: [sx, sy, sz] 其中 sz 是高度 + + 转换: [sx, sy, sz]_yup -> [sx, sz, sy]_zup + """ + if len(size) != 3: + return size + sx, sy, sz = size + return [round(sx, 4), round(sz, 4), round(sy, 4)] + + +def y_up_to_z_up_rot(rot: List[float]) -> List[float]: + """ + 将旋转从 Y-up 转换为 Z-up + + Y-up 欧拉角: [rx, ry, rz] 绕 x, y, z 轴旋转 (y 是垂直轴) + Z-up 欧拉角: [rx, ry, rz] 绕 x, y, z 轴旋转 (z 是垂直轴) + + 坐标轴映射: X -> X, Y -> Z, Z -> -Y + + compose_generated.py 使用 euler_matrix(rot[0], rot[1], rot[2], axes='rzxy'): + - rot[0] 是绕 Z 轴的旋转 + - rot[1] 是绕 X 轴的旋转 + - rot[2] 是绕 Y 轴的旋转 + + 转换逻辑: + - 绕 Y_yup 旋转 (垂直轴) -> 绕 Z_zup 旋转 -> 放到 rot[0] + - 绕 X_yup 旋转 -> 绕 X_zup 旋转 -> 放到 rot[1] + - 绕 Z_yup 旋转 -> 绕 -Y_zup 旋转 -> 放到 rot[2] 取负 + + 所以: [rx, ry, rz]_yup -> [ry, rx, -rz]_zup + """ + if len(rot) != 3: + return rot + + rx, ry, rz = rot + + # 坐标系旋转映射: [rx, ry, rz]_yup -> [ry, rx, -rz]_zup + new_rot0 = ry # Y_yup -> Z_zup (绕垂直轴) + new_rot1 = rx # X_yup -> X_zup + new_rot2 = -rz # Z_yup -> -Y_zup + + return [round(new_rot0, 6), round(new_rot1, 6), round(new_rot2, 6)] + + +def y_up_to_z_up_normal(normal: List[float]) -> List[float]: + """ + 将法向量从 Y-up 转换为 Z-up + """ + if len(normal) != 3: + return normal + x, y, z = normal + return [round(x, 4), round(-z, 4), round(y, 4)] + + +def transform_boundary_y_to_z(boundary: List[List[float]]) -> List[List[float]]: + """ + 将边界多边形从 Y-up 转换为 Z-up + """ + return [y_up_to_z_up_pos(v) for v in boundary] + + +def transform_wall_segment_y_to_z(segment) -> List: + """ + 将墙壁段从 Y-up (2D: [x, z]) 转换为 Z-up (2D: [x, y]) + + 在 Y-up 系统中，墙壁段是 [x, z] (水平面是 XZ) + 在 Z-up 系统中，墙壁段是 [x, y] (水平面是 XY) + + 转换: [x, z]_yup -> [x, -z]_zup = [x, y]_zup + + 支持多种格式: + - [[x, z], [x, z]] - 标准格式 + - [x1, z1, x2, z2] - 扁平格式 + - 其他格式保持不变 + """ + if not isinstance(segment, list) or len(segment) == 0: + return segment + + # 检查第一个元素来判断格式 + first = segment[0] + + # 格式1: [[x, z], [x, z]] - 嵌套列表 + if isinstance(first, list): + result = [] + for point in segment: + if isinstance(point, list) and len(point) == 2: + x, z = point + result.append([round(x, 4), round(-z, 4)]) + else: + result.append(point) + return result + + # 格式2: [x1, z1, x2, z2] - 扁平列表 + elif isinstance(first, (int, float)) and len(segment) == 4: + x1, z1, x2, z2 = segment + return [[round(x1, 4), round(-z1, 4)], [round(x2, 4), round(-z2, 4)]] + + # 其他格式保持不变 + return segment + + +def transform_asset_scannet(asset: Dict, convert_rot_to_rad: bool = True) -> None: + """ + 转换 scannet/3rscan/arkitscenes 的 asset + + - pos: 已经是 Z-up，不变 + - size: 已经是 Z-up，不变 + - rot: 角度 -> 弧度 (如果需要) + """ + if "transform" in asset: + transform = asset["transform"] + + # rot: 角度 -> 弧度 + if "rot" in transform and convert_rot_to_rad: + rot = transform["rot"] + transform["rot"] = [round(deg_to_rad(r), 6) for r in rot] + else: + # 直接格式 + if "rot" in asset and convert_rot_to_rad: + rot = asset["rot"] + asset["rot"] = [round(deg_to_rad(r), 6) for r in rot] + + +def transform_asset_3dfront(asset: Dict) -> None: + """ + 转换 3D-FRONT 的 asset + + - pos: Y-up -> Z-up + - size: Y-up -> Z-up + - rot: Y-up -> Z-up + """ + if "transform" in asset: + transform = asset["transform"] + + # pos: Y-up -> Z-up + if "pos" in transform: + transform["pos"] = y_up_to_z_up_pos(transform["pos"]) + + # size: Y-up -> Z-up + if "size" in transform: + transform["size"] = y_up_to_z_up_size(transform["size"]) + + # rot: Y-up -> Z-up + if "rot" in transform: + transform["rot"] = y_up_to_z_up_rot(transform["rot"]) + else: + if "pos" in asset: + asset["pos"] = y_up_to_z_up_pos(asset["pos"]) + if "size" in asset: + asset["size"] = y_up_to_z_up_size(asset["size"]) + if "rot" in asset: + asset["rot"] = y_up_to_z_up_rot(asset["rot"]) + + +def align_layout_scannet(data: Dict) -> int: + """ + 对齐 scannet/3rscan/arkitscenes 的 layout + + Returns: + 处理的 asset 数量 + """ + asset_count = 0 + + # 转换 architecture.boundary_polygon: Y-up -> Z-up + if "architecture" in data: + arch = data["architecture"] + if "boundary_polygon" in arch: + arch["boundary_polygon"] = transform_boundary_y_to_z(arch["boundary_polygon"]) + + # 转换 structure_nodes 中的墙壁 + if "structure_nodes" in arch: + for node in arch["structure_nodes"]: + if "segment" in node: + node["segment"] = transform_wall_segment_y_to_z(node["segment"]) + if "normal" in node: + node["normal"] = y_up_to_z_up_normal(node["normal"]) + + # 转换 assets: rot 角度 -> 弧度 + if "functional_zones" in data: + for zone in data["functional_zones"]: + if "assets" in zone: + for asset in zone["assets"]: + transform_asset_scannet(asset, convert_rot_to_rad=True) + asset_count += 1 + + if "assets" in data: + for asset in data["assets"]: + transform_asset_scannet(asset, convert_rot_to_rad=True) + asset_count += 1 + + return asset_count + + +def align_layout_3dfront(data: Dict) -> int: + """ + 对齐 3D-FRONT 的 layout + + Returns: + 处理的 asset 数量 + """ + asset_count = 0 + + # 转换 architecture.boundary_polygon: Y-up -> Z-up + if "architecture" in data: + arch = data["architecture"] + if "boundary_polygon" in arch: + arch["boundary_polygon"] = transform_boundary_y_to_z(arch["boundary_polygon"]) + + # 转换 structure_nodes 中的墙壁 + if "structure_nodes" in arch: + for node in arch["structure_nodes"]: + if "segment" in node: + node["segment"] = transform_wall_segment_y_to_z(node["segment"]) + if "normal" in node: + node["normal"] = y_up_to_z_up_normal(node["normal"]) + + # 转换 assets: pos/size/rot 全部 Y-up -> Z-up + if "functional_zones" in data: + for zone in data["functional_zones"]: + if "assets" in zone: + for asset in zone["assets"]: + transform_asset_3dfront(asset) + asset_count += 1 + + if "assets" in data: + for asset in data["assets"]: + transform_asset_3dfront(asset) + asset_count += 1 + + return asset_count + + +def align_single_layout( + input_path: str, + output_path: str, + dataset_type: str +) -> Tuple[bool, str]: + """ + 对齐单个 layout.json 文件 + + Args: + input_path: 输入文件路径 + output_path: 输出文件路径 + dataset_type: 数据集类型 ('scannet', '3rscan', 'arkitscenes', '3d-front') + + Returns: + (success, message) + """ + try: + with open(input_path, 'r', encoding='utf-8') as f: + data = json.load(f) + + # 检查是否已经对齐过 + if data.get("meta", {}).get("aligned"): + return True, "already aligned" + + # 根据数据集类型选择对齐函数 + if dataset_type == "3d-front": + asset_count = align_layout_3dfront(data) + else: + # scannet, 3rscan, arkitscenes + asset_count = align_layout_scannet(data) + + # 添加对齐标记 + if "meta" not in data: + data["meta"] = {} + data["meta"]["coordinate_system"] = "Z-up" + data["meta"]["rotation_unit"] = "radians" + data["meta"]["aligned"] = True + data["meta"]["original_dataset"] = dataset_type + + # 确保输出目录存在 + os.makedirs(os.path.dirname(output_path), exist_ok=True) + + # 保存 + with open(output_path, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=2) + + return True, f"success ({asset_count} assets)" + + except Exception as e: + traceback.print_exc() + return False, f"Error: {e}" + + +def process_scene(args: Tuple[str, str, str, str]) -> Tuple[str, bool, str]: + """处理单个场景 (用于多进程)""" + scene_id, input_dir, output_dir, dataset_type = args + + input_path = os.path.join(input_dir, scene_id, "layout.json") + output_path = os.path.join(output_dir, scene_id, "layout.json") + + if not os.path.isfile(input_path): + return scene_id, False, "input not found" + + success, msg = align_single_layout(input_path, output_path, dataset_type) + return scene_id, success, msg + + +def discover_scenes(base_dir: str, dataset: str = None) -> List[Tuple[str, str]]: + """ + 发现所有场景 + + Args: + base_dir: 基础目录 + dataset: 数据集名称 或 None 表示全部 + + Returns: + (场景路径, 数据集类型) 列表 + """ + scenes = [] + + with open("/home/v-meiszhang/amlt-project/InternScenes/unified_layout_scenes.txt", 'r') as f: + for line in f: + line = line.strip() + if not line: + continue + # 从路径中提取数据集类型 (第一个目录名) + scene_type = line.split('/')[0] + scenes.append((line, scene_type)) + + # 过滤数据集 + if dataset and dataset != "all": + # 只保留指定数据集的场景 + scenes = [(path, ds_type) for path, ds_type in scenes if ds_type == dataset] + + # 验证场景路径是否存在 + filtered_scenes = [] + for scene_name, ds_type in scenes: + scene_path = os.path.join(base_dir, scene_name) + if os.path.isdir(scene_path): + layout_path = os.path.join(scene_path, "layout.json") + if os.path.isfile(layout_path): + filtered_scenes.append((scene_name, ds_type)) + + return sorted(filtered_scenes, key=lambda x: x[0]) + + +def main(): + parser = argparse.ArgumentParser( + description="Align unified-layout coordinate system to Z-up" + ) + + parser.add_argument( + "--input-dir", + default="/home/v-meiszhang/backup/datas/unified-layout", + help="Input unified-layout directory" + ) + + parser.add_argument( + "--output-dir", + default="/home/v-meiszhang/backup/datas/unified-layout-aligned", + help="Output directory (default: input-dir with suffix '-zup')" + ) + + parser.add_argument( + "--dataset", + choices=["scannet", "arkitscenes", "3rscan", "3d-front", "all"], + default="all", + help="Dataset to process" + ) + + parser.add_argument( + "--in-place", + action="store_true", + help="Modify files in place (output-dir = input-dir)" + ) + + parser.add_argument( + "--workers", "-j", + type=int, + default=16, + help="Number of worker processes" + ) + + parser.add_argument( + "--limit", + type=int, + help="Limit number of scenes to process" + ) + + parser.add_argument( + "--dry-run", + action="store_true", + help="Only show what would be done" + ) + + args = parser.parse_args() + + # 确定输出目录 + if args.in_place: + output_dir = args.input_dir + elif args.output_dir: + output_dir = args.output_dir + else: + output_dir = args.input_dir + "-zup" + + print(f"Input directory: {args.input_dir}") + print(f"Output directory: {output_dir}") + print(f"Dataset: {args.dataset}") + print(f"Target coordinate system: Z-up") + print(f"Target rotation unit: radians") + + # 发现场景 + scenes = discover_scenes(args.input_dir, args.dataset) + + if args.limit: + scenes = scenes[:args.limit] + + print(f"\nFound {len(scenes)} scenes to process") + + # 统计各数据集数量 + ds_counts = {} + for _, ds_type in scenes: + ds_counts[ds_type] = ds_counts.get(ds_type, 0) + 1 + for ds, count in sorted(ds_counts.items()): + print(f" {ds}: {count}") + + if args.dry_run: + print("\n[DRY RUN] Would process:") + for scene, ds_type in scenes[:10]: + print(f" [{ds_type}] {scene}") + if len(scenes) > 10: + print(f" ... and {len(scenes) - 10} more") + return + + # 处理 + task_args = [(scene, args.input_dir, output_dir, ds_type) + for scene, ds_type in scenes] + + results = {"success": 0, "failed": 0, "skipped": 0} + + print(f"\nProcessing with {args.workers} workers...") + + with ProcessPoolExecutor(max_workers=args.workers) as executor: + futures = {executor.submit(process_scene, arg): arg[0] for arg in task_args} + + for i, future in enumerate(as_completed(futures), 1): + scene_id = futures[future] + scene_id, success, msg = future.result() + + if success: + results["success"] += 1 + elif "not found" in msg or "already" in msg: + results["skipped"] += 1 + else: + results["failed"] += 1 + print(f" FAILED: {scene_id}: {msg}") + + if i % 500 == 0 or i == len(scenes): + print(f"[{i}/{len(scenes)}] success={results['success']}, " + f"skipped={results['skipped']}, failed={results['failed']}") + + # 统计 + print("\n" + "=" * 60) + print("SUMMARY") + print("=" * 60) + print(f"Total scenes: {len(scenes)}") + print(f"Successfully aligned: {results['success']}") + print(f"Skipped (missing/already aligned): {results['skipped']}") + print(f"Failed: {results['failed']}") + print(f"\nOutput saved to: {output_dir}") + + +if __name__ == "__main__": + main() diff --git a/tools/post_process/classify_scene_type.py b/tools/post_process/classify_scene_type.py new file mode 100644 index 0000000000000000000000000000000000000000..a1fc1abbdccb16eeb4b85cc9e05354943af80b63 --- /dev/null +++ b/tools/post_process/classify_scene_type.py @@ -0,0 +1,516 @@ +#!/usr/bin/env python3 +""" +Scene Type Classification Tool + +使用 GPT-4o 对场景进行类型分类，基于渲染图像和 layout 信息。 +支持的场景类型: bedroom, livingroom, diningroom, bathroom, kitchen, office, room + +使用方法: + python tools/post_process/classify_scene_type.py --dataset all --workers 8 +""" + +import argparse +import os +import sys +import json +import base64 +from pathlib import Path +from typing import List, Dict, Optional, Tuple +from concurrent.futures import ThreadPoolExecutor, as_completed +import time + +# 添加项目路径 +SCRIPT_DIR = Path(__file__).parent +TOOLS_DIR = SCRIPT_DIR.parent +REPO_ROOT = TOOLS_DIR.parent +sys.path.insert(0, str(REPO_ROOT)) + +# Azure OpenAI imports +try: + from openai import AzureOpenAI + from azure.identity import ChainedTokenCredential, AzureCliCredential, ManagedIdentityCredential, get_bearer_token_provider + HAS_AZURE_OPENAI = True +except ImportError: + HAS_AZURE_OPENAI = False + print("Warning: Azure OpenAI packages not installed. Run: pip install openai azure-identity") + +# 支持的场景类型 +VALID_SCENE_TYPES = ["bedroom", "livingroom", "diningroom", "bathroom", "kitchen", "study_room", "other"] + +# 缓存文件路径 +DEFAULT_CACHE_FILE = TOOLS_DIR / "post_process" / "scene_type_cache.json" + + +class SceneTypeClassifier: + """使用 GPT-4o 对场景进行类型分类""" + + def __init__(self, cache_file: str = None): + """ + 初始化分类器 + + Args: + cache_file: 缓存文件路径 + """ + self.cache_file = Path(cache_file) if cache_file else DEFAULT_CACHE_FILE + self.cache = self._load_cache() + self.available = HAS_AZURE_OPENAI + + # Azure 配置 (不在这里初始化 client) + self.api_version = '2024-12-01-preview' + self.deployment_name = 'gpt-4o_2024-11-20' + self.instance = 'msra/shared' + self.endpoint = f'https://trapi.research.microsoft.com/{self.instance}' + + def _create_client(self): + """每次调用时创建新的 Azure OpenAI 客户端""" + scope = "api://trapi/.default" + credential = get_bearer_token_provider(ChainedTokenCredential( + AzureCliCredential(), + ManagedIdentityCredential(), + ), scope) + + return AzureOpenAI( + azure_endpoint=self.endpoint, + azure_ad_token_provider=credential, + api_version=self.api_version, + ) + + def _load_cache(self) -> Dict: + """加载缓存""" + if self.cache_file.exists(): + try: + with open(self.cache_file, 'r', encoding='utf-8') as f: + return json.load(f) + except: + return {} + return {} + + def _save_cache(self): + """保存缓存""" + self.cache_file.parent.mkdir(parents=True, exist_ok=True) + with open(self.cache_file, 'w', encoding='utf-8') as f: + json.dump(self.cache, f, ensure_ascii=False, indent=2) + + def encode_image(self, image_path: str) -> str: + """将图像编码为 base64""" + with open(image_path, "rb") as f: + return base64.b64encode(f.read()).decode('utf-8') + + def get_scene_key(self, scene_path: str) -> str: + """获取场景的唯一标识符""" + # 从路径中提取 dataset/scene_id + parts = Path(scene_path).parts + # 找到 Layout_info 后面的部分作为 key + try: + idx = parts.index("Layout_info") + return "/".join(parts[idx+1:]) + except ValueError: + return scene_path + + def has_cached_type(self, scene_path: str) -> bool: + """检查是否已有缓存的分类结果""" + key = self.get_scene_key(scene_path) + return key in self.cache + + def get_cached_type(self, scene_path: str) -> Optional[str]: + """获取缓存的分类结果""" + key = self.get_scene_key(scene_path) + return self.cache.get(key, {}).get("scene_type") + + def classify_scene( + self, + scene_path: str, + topdown_image: str, + diagonal_image: str, + layout_data: Dict, + force: bool = False + ) -> Optional[str]: + """ + 对场景进行分类 + + Args: + scene_path: 场景路径 + topdown_image: 俯视图路径 + diagonal_image: 斜视图路径 + layout_data: layout JSON 数据 + force: 是否强制重新分类（忽略缓存） + + Returns: + 场景类型，如果失败返回 None + """ + key = self.get_scene_key(scene_path) + + # 检查缓存 + if not force and key in self.cache: + return self.cache[key].get("scene_type") + + if not self.available: + print(f" ✗ GPT client not available") + return None + + # 构建提示 + # 提取 layout 中的物体类别信息 + categories = [] + if "instances" in layout_data: + for inst in layout_data["instances"]: + cat = inst.get("category", "") + if cat and cat not in categories: + categories.append(cat) + + categories_str = ", ".join(categories[:30]) if categories else "unknown" + + system_prompt = """You are an expert at classifying indoor 3D scenes. +Based on the provided top-down view, diagonal view, and object categories in the scene, +classify the scene into exactly ONE of the following types: + +- bedroom: A room primarily for sleeping, containing beds +- livingroom: A room for relaxing and socializing, typically with sofas and TV +- diningroom: A room for eating meals, with dining table and chairs +- bathroom: A room for personal hygiene, with toilet, sink, bathtub/shower +- kitchen: A room for cooking, with stove, refrigerator, cabinets +- study_room: A workspace for studying, reading, or office work +- other: A generic room that doesn't clearly fit other categories + +Respond with ONLY the scene type (one word from the list above), nothing else.""" + + user_content = [ + { + "type": "text", + "text": f"""Please classify this indoor scene. + +Object categories found in the scene: {categories_str} + +Based on the two rendered views (top-down and diagonal) and the object categories, +what type of room is this? Reply with only one word from: bedroom, livingroom, diningroom, bathroom, kitchen, study_room, other""" + }, + { + "type": "image_url", + "image_url": { + "url": f"data:image/png;base64,{self.encode_image(topdown_image)}", + "detail": "low" + } + }, + { + "type": "image_url", + "image_url": { + "url": f"data:image/png;base64,{self.encode_image(diagonal_image)}", + "detail": "low" + } + } + ] + + max_retries = 10000 + for retry in range(max_retries): + try: + # 每次重试都创建新的 client + client = self._create_client() + response = client.chat.completions.create( + model=self.deployment_name, + messages=[ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_content} + ], + max_tokens=20, + temperature=1.0 + ) + + result = response.choices[0].message.content.strip().lower() + + # 清理结果，只保留字母和下划线 + result = ''.join(c for c in result if c.isalpha() or c == '_') + + # 验证结果是否有效 + if result not in VALID_SCENE_TYPES: + # 尝试从结果中提取有效类型 + for valid_type in VALID_SCENE_TYPES: + if valid_type in result: + result = valid_type + break + else: + print(f" ⚠ Invalid response: {response.choices[0].message.content.strip()}, defaulting to 'other'") + result = "other" + + # 保存到缓存 + self.cache[key] = { + "scene_type": result, + "categories": categories[:30], + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S") + } + self._save_cache() + + return result + + except Exception as e: + error_str = str(e) + if "429" in error_str or "Rate Limit" in error_str: + print(f" ⚠ Rate limited, waiting 60s... (retry {retry+1}/{max_retries})") + else: + print(f" ✗ API error: {e} (retry {retry+1}/{max_retries})") + + # 所有重试都失败 + print(f" ✗ All retries failed, returning 'other'") + return "other" + +def find_scenes_to_classify(base_dir: str, dataset: str) -> List[Dict]: + """ + 查找需要分类的场景 (优化版本 - 多线程并行检查) + + Args: + base_dir: Layout_info 基础目录 + dataset: 数据集名称 (scannet, 3rscan, arkitscenes, all) + + Returns: + 场景信息列表 + """ + if dataset == "all": + datasets = ["scannet", "3rscan", "arkitscenes/Training", "arkitscenes/Validation", "matterport3d"] + elif dataset == "arkitscenes": + datasets = ["arkitscenes/Training", "arkitscenes/Validation"] + else: + datasets = [dataset] + + # 第一步：快速收集所有可能的场景路径（不做文件检查） + candidates = [] + for ds in datasets: + ds_path = os.path.join(base_dir, ds) + if not os.path.exists(ds_path): + print(f" ⚠ Dataset path not found: {ds_path}") + continue + + try: + # matterport3d 有两层结构: scene_id/region_id + if ds == "matterport3d": + scene_ids = os.listdir(ds_path) + for scene_id in scene_ids: + scene_id_path = os.path.join(ds_path, scene_id) + if not os.path.isdir(scene_id_path): + continue + region_ids = os.listdir(scene_id_path) + for region_id in region_ids: + region_path = os.path.join(scene_id_path, region_id) + if os.path.isdir(region_path): + # scene_name 用 scene_id/region_id 表示 + candidates.append((ds, f"{scene_id}/{region_id}", region_path)) + else: + scene_names = os.listdir(ds_path) + for scene_name in scene_names: + scene_path = os.path.join(ds_path, scene_name) + candidates.append((ds, scene_name, scene_path)) + except OSError as e: + print(f" ⚠ Cannot list {ds_path}: {e}") + continue + + print(f" Found {len(candidates)} candidate scenes, checking files...") + + # 第二步：多线程并行检查文件是否存在 + def check_scene(args): + ds, scene_name, scene_path = args + topdown = os.path.join(scene_path, "render_topdown.png") + diagonal = os.path.join(scene_path, "render_diagonal.png") + layout = os.path.join(scene_path, "layout_with_boundary.json") + + # 检查三个文件是否都存在 + if os.path.isfile(layout) and os.path.isfile(topdown) and os.path.isfile(diagonal): + return { + "dataset": ds, + "scene_name": scene_name, + "scene_path": scene_path, + "topdown": topdown, + "diagonal": diagonal, + "layout": layout + } + return None + + # 使用多线程并行检查 + scenes = [] + with ThreadPoolExecutor(max_workers=32) as executor: + results = executor.map(check_scene, candidates) + for result in results: + if result is not None: + scenes.append(result) + + return scenes + + +def process_scene(scene_info: Dict, classifier: SceneTypeClassifier, force: bool = False) -> Tuple[str, Optional[str]]: + """ + 处理单个场景 + + Returns: + (scene_key, scene_type) 或 (scene_key, None) 如果失败 + """ + scene_path = scene_info["scene_path"] + scene_name = scene_info["scene_name"] + + # 检查缓存 + if not force and classifier.has_cached_type(scene_path): + cached_type = classifier.get_cached_type(scene_path) + return (scene_name, cached_type) + + try: + # 加载 layout + with open(scene_info["layout"], 'r', encoding='utf-8') as f: + layout_data = json.load(f) + + # 分类 + scene_type = classifier.classify_scene( + scene_path, + scene_info["topdown"], + scene_info["diagonal"], + layout_data, + force=force + ) + + return (scene_name, scene_type) + + except Exception as e: + print(f" ✗ Error processing {scene_name}: {e}") + return (scene_name, None) + + +def update_layout_with_scene_type(layout_path: str, scene_type: str): + """ + 更新 layout 文件，添加 scene_type 字段 + """ + with open(layout_path, 'r', encoding='utf-8') as f: + layout = json.load(f) + + layout["scene_type"] = scene_type + + with open(layout_path, 'w', encoding='utf-8') as f: + json.dump(layout, f, ensure_ascii=False, indent=2) + + +def main(): + parser = argparse.ArgumentParser( + description="Classify scene types using GPT-4o" + ) + + parser.add_argument( + "--base-dir", + default="/home/v-meiszhang/backup/datas/InternScenes/Layout_info", + help="Base directory containing Layout_info" + ) + + parser.add_argument( + "--dataset", + choices=["scannet", "3rscan", "arkitscenes", "matterport3d", "all"], + default="all", + help="Which dataset to process" + ) + + parser.add_argument( + "--cache-file", + help="Path to cache file" + ) + + parser.add_argument( + "--workers", "-j", + type=int, + default=8, + help="Number of worker threads (default: 4, reduce if hitting rate limits)" + ) + + parser.add_argument( + "--force", + action="store_true", + help="Force re-classification (ignore cache)" + ) + + parser.add_argument( + "--update-layout", + action="store_true", + help="Update layout files with scene_type field" + ) + + parser.add_argument( + "--limit", + type=int, + help="Limit number of scenes to process" + ) + + args = parser.parse_args() + + # 初始化分类器 + classifier = SceneTypeClassifier(args.cache_file) + + if not classifier.available and not args.dry_run: + print("✗ GPT client not available. Exiting.") + sys.exit(1) + + # 查找场景 + print(f"\nSearching for scenes in {args.base_dir}...") + scenes = find_scenes_to_classify(args.base_dir, args.dataset) + + if args.limit: + scenes = scenes[:args.limit] + + print(f"Found {len(scenes)} scenes with required files") + + # 统计缓存情况 + cached_count = sum(1 for s in scenes if classifier.has_cached_type(s["scene_path"])) + print(f"Already cached: {cached_count}") + print(f"To process: {len(scenes) - cached_count}") + + if args.dry_run: + print("\n[DRY RUN] Would process the following scenes:") + for scene in scenes[:10]: + print(f" - {scene['dataset']}/{scene['scene_name']}") + if len(scenes) > 10: + print(f" ... and {len(scenes) - 10} more") + return + + # 处理场景 + print(f"\nProcessing scenes with {args.workers} workers...") + + results = {"success": 0, "failed": 0, "cached": 0} + type_counts = {t: 0 for t in VALID_SCENE_TYPES} + + # 使用线程池处理（因为主要是 I/O 操作） + with ThreadPoolExecutor(max_workers=args.workers) as executor: + futures = {} + for scene in scenes: + future = executor.submit(process_scene, scene, classifier, args.force) + futures[future] = scene + + for i, future in enumerate(as_completed(futures), 1): + scene = futures[future] + scene_name, scene_type = future.result() + + if scene_type: + if classifier.has_cached_type(scene["scene_path"]) and not args.force: + results["cached"] += 1 + else: + results["success"] += 1 + + type_counts[scene_type] += 1 + + # 更新 layout 文件 + if args.update_layout: + try: + update_layout_with_scene_type(scene["layout"], scene_type) + except Exception as e: + print(f" ⚠ Failed to update layout for {scene_name}: {e}") + + print(f"[{i}/{len(scenes)}] {scene_name}: {scene_type}") + else: + results["failed"] += 1 + print(f"[{i}/{len(scenes)}] {scene_name}: FAILED") + + # 打印统计 + print("\n" + "=" * 60) + print("SUMMARY") + print("=" * 60) + print(f"Total scenes: {len(scenes)}") + print(f"Successfully classified: {results['success']}") + print(f"From cache: {results['cached']}") + print(f"Failed: {results['failed']}") + print(f"\nScene type distribution:") + for scene_type, count in sorted(type_counts.items(), key=lambda x: -x[1]): + if count > 0: + print(f" {scene_type}: {count}") + print(f"\nCache file: {classifier.cache_file}") + + +if __name__ == "__main__": + main() diff --git a/tools/post_process/render_aligned_scenes.py b/tools/post_process/render_aligned_scenes.py new file mode 100644 index 0000000000000000000000000000000000000000..b6fe0417978c7899afd8991635640128bb96a0e8 --- /dev/null +++ b/tools/post_process/render_aligned_scenes.py @@ -0,0 +1,434 @@ +#!/usr/bin/env python3 +"""Batch render aligned scenes from different datasets: generate GLB files and render top/diagonal views. + +This script processes the aligned unified-layout data (Z-up coordinate system). + +Supports: scannet, arkitscenes, 3rscan, 3d-front + +Usage: + # Step 1: Generate all GLB files (use internscenes environment) + conda activate internscenes + python tools/post_process/render_aligned_scenes.py --dataset scannet --mode compose --workers 4 + + # Step 2: Render all views (use blender environment) + conda activate blender + python tools/post_process/render_aligned_scenes.py --dataset scannet --mode render --workers 8 + + # Process all datasets + python tools/post_process/render_aligned_scenes.py --dataset all --mode render --workers 8 +""" + +from __future__ import annotations + +import argparse +import os +import sys +import json +import subprocess +from pathlib import Path +from concurrent.futures import ProcessPoolExecutor, as_completed +from multiprocessing import cpu_count + +try: + from tqdm import tqdm +except ImportError: + def tqdm(iterable, desc=None, total=None, **kwargs): + if desc: + print(f"{desc}...") + for i, item in enumerate(iterable): + yield item + tqdm.write = print + +# Paths - 使用备份目录中的路径 +ALIGNED_LAYOUT_DIR = "/home/v-meiszhang/backup/datas/unified-layout-aligned" +ASSET_LIBRARY_DIR = "/home/v-meiszhang/backup/datas/InternScenes/asset_library" +SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) +REPO_ROOT = Path(SCRIPT_DIR).parent.parent +BLENDER_RENDERER = str(REPO_ROOT / "InternScenes" / "InternScenes_Real2Sim" / "blender_renderer.py") + +# Supported datasets +DATASETS = ["scannet", "3rscan", "arkitscenes", "3d-front"] + + +def get_all_scenes(dataset: str) -> list[tuple[str, str]]: + """Get all scene names and their full paths for a dataset. + + Returns list of (scene_name, scene_dir) tuples. + """ + dataset_dir = os.path.join(ALIGNED_LAYOUT_DIR, dataset) + scenes = [] + + if not os.path.isdir(dataset_dir): + print(f"Warning: Dataset directory not found: {dataset_dir}") + return scenes + + if dataset == "arkitscenes": + # arkitscenes has Training/Validation subdirectories + for split in ["Training", "Validation"]: + split_dir = os.path.join(dataset_dir, split) + if os.path.isdir(split_dir): + for scene_name in sorted(os.listdir(split_dir)): + scene_path = os.path.join(split_dir, scene_name) + layout_json = os.path.join(scene_path, "layout.json") + if os.path.isdir(scene_path) and os.path.exists(layout_json): + full_scene_name = f"{dataset}/{split}/{scene_name}" + scenes.append((full_scene_name, scene_path)) + elif dataset == "3d-front": + # 3d-front has uuid/room_name structure + for uuid_dir in sorted(os.listdir(dataset_dir)): + uuid_path = os.path.join(dataset_dir, uuid_dir) + if os.path.isdir(uuid_path): + for room_name in sorted(os.listdir(uuid_path)): + room_path = os.path.join(uuid_path, room_name) + layout_json = os.path.join(room_path, "layout.json") + if os.path.isdir(room_path) and os.path.exists(layout_json): + full_scene_name = f"{dataset}/{uuid_dir}/{room_name}" + scenes.append((full_scene_name, room_path)) + else: + # scannet, 3rscan have flat structure + for scene_name in sorted(os.listdir(dataset_dir)): + scene_path = os.path.join(dataset_dir, scene_name) + layout_json = os.path.join(scene_path, "layout.json") + if os.path.isdir(scene_path) and os.path.exists(layout_json): + full_scene_name = f"{dataset}/{scene_name}" + scenes.append((full_scene_name, scene_path)) + + return scenes + + +def convert_unified_layout_to_instance_infos(layout_data: dict) -> list: + """将 unified-layout 格式转换为 compose_scenes 期望的 instance_infos 格式。 + + unified-layout 格式: + functional_zones[].assets[]: {model_id/model_uid, transform: {pos, size, rot}} + + instance_infos 格式: + [{model_uid, category, bbox: [cx, cy, cz, sx, sy, sz, rx, ry, rz]}] + """ + import re + + # 检测是否是纯 UUID 格式 (用于 3D-FRONT) + uuid_pattern = re.compile(r'^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}', re.IGNORECASE) + + instance_infos = [] + + for zone in layout_data.get('functional_zones', []): + for asset in zone.get('assets', []): + # 同时支持 model_id 和 model_uid 字段 + model_id = asset.get('model_id') or asset.get('model_uid', '') + + if not model_id: + continue + + # 处理 3D-FRONT 的纯 UUID 格式 + # 格式可能是: uuid 或 uuid-(scale1)-(scale2)-(scale3) + if uuid_pattern.match(model_id): + # 提取纯 UUID 部分 (去掉可能的 scale 后缀) + uuid_part = model_id.split('-(')[0] if '-(' in model_id else model_id.split('-')[0:5] + if isinstance(uuid_part, list): + uuid_part = '-'.join(uuid_part) + model_id = f"3D-FUTURE-model/{uuid_part}" + + transform = asset.get('transform', {}) + pos = transform.get('pos', [0, 0, 0]) + size = transform.get('size', [1, 1, 1]) + rot = transform.get('rot', [0, 0, 0]) + + instance_info = { + 'model_uid': model_id, + 'category': asset.get('category', 'unknown'), + 'bbox': [ + pos[0], pos[1], pos[2], # center x, y, z + size[0], size[1], size[2], # size x, y, z + rot[0], rot[1], rot[2] # rotation x, y, z (radians) + ] + } + instance_infos.append(instance_info) + + return instance_infos + + +def compose_one_scene(args: tuple[str, str, bool]) -> tuple[str, bool, str]: + """Compose GLB for a single scene. Returns (scene_name, success, message).""" + full_scene_name, scene_dir, skip_existing = args + + # Check if GLB already exists and skip if requested + glb_path = os.path.join(scene_dir, "glb_scene.glb") + if skip_existing and os.path.exists(glb_path) and os.path.getsize(glb_path) > 0: + return full_scene_name, True, "SKIPPED (already exists)" + + try: + # 直接导入原始的 compose_scenes 模块 + sys.path.insert(0, str(REPO_ROOT / "InternScenes" / "InternScenes_Real2Sim")) + from compose_scenes import SceneComposer, AssetMeshLoader + + # 创建自定义的 AssetMeshLoader，使用正确的资产库路径 + class CustomAssetMeshLoader(AssetMeshLoader): + def __init__(self): + self.asset_dir = ASSET_LIBRARY_DIR + self.obja_uid_2_rotation = json.load(open(os.path.join(ASSET_LIBRARY_DIR, "uid_2_angle.json"))) + self.pm_uid_2_origin_cate = json.load(open(os.path.join(ASSET_LIBRARY_DIR, "uid_2_origin_cate.json"))) + + # 创建 composer + loader = CustomAssetMeshLoader() + composer = SceneComposer(asset_mesh_loader=loader) + + # 读取 unified-layout 格式的数据 + layout_path = os.path.join(scene_dir, "layout.json") + with open(layout_path) as f: + layout_data = json.load(f) + + # 转换为 instance_infos 格式 + instance_infos = convert_unified_layout_to_instance_infos(layout_data) + + if not instance_infos: + return full_scene_name, False, "No assets found in layout" + + # 确保输出目录存在 + os.makedirs(scene_dir, exist_ok=True) + + # 直接调用 compose_scene_from_instance_infos + composer.compose_scene_from_instance_infos( + instance_infos, + glb_path, + use_texture=True, + bbox_data_key="bbox" + ) + + return full_scene_name, True, f"OK ({len(instance_infos)} assets)" + except Exception as e: + import traceback + return full_scene_name, False, f"{str(e)}\n{traceback.format_exc()}" + + +def compose_all_scenes(scenes: list[tuple[str, str]], max_workers: int = 4, skip_existing: bool = False) -> None: + """Compose GLB files for all scenes using multiprocessing.""" + print(f"Composing {len(scenes)} scenes with {max_workers} workers...") + if skip_existing: + print(" (skipping scenes with existing GLB files)") + + success_count = 0 + skip_count = 0 + fail_count = 0 + + # Add skip_existing flag to each scene tuple + scenes_with_flag = [(name, path, skip_existing) for name, path in scenes] + + with ProcessPoolExecutor(max_workers=max_workers) as executor: + futures = {executor.submit(compose_one_scene, scene): scene[0] for scene in scenes_with_flag} + + with tqdm(total=len(futures), desc="Composing") as pbar: + for future in as_completed(futures): + scene_name, success, msg = future.result() + if success: + if "SKIPPED" in msg: + skip_count += 1 + else: + success_count += 1 + else: + fail_count += 1 + tqdm.write(f"Failed: {scene_name} - {msg[:200]}") + pbar.update(1) + + print(f"\nCompose: {success_count} success, {skip_count} skipped, {fail_count} failed") + + +def render_one_scene(args: tuple[str, str, bool]) -> tuple[str, bool, str]: + """Render top and diagonal views for a single scene.""" + full_scene_name, scene_dir, skip_existing = args + try: + glb_path = os.path.join(scene_dir, "glb_scene.glb") + + # Output paths (same directory as layout.json) + topdown_output = os.path.join(scene_dir, "render_topdown.png") + diagonal_output = os.path.join(scene_dir, "render_diagonal.png") + + # Skip if both renders already exist + if skip_existing: + topdown_exists = os.path.exists(topdown_output) and os.path.getsize(topdown_output) > 0 + diagonal_exists = os.path.exists(diagonal_output) and os.path.getsize(diagonal_output) > 0 + if topdown_exists and diagonal_exists: + return full_scene_name, True, "SKIPPED" + + # Common render arguments + base_args = [ + sys.executable, BLENDER_RENDERER, + "--input", glb_path, + "--scene-y-up", + "--engine", "BLENDER_EEVEE", + "--samples", "128", + "--auto-crop", + "--crop-padding", "20", + ] + + # Render top-down view + topdown_args = base_args + [ + "--output", topdown_output, + "--view-mode", "topdown", + "--topdown-height", "1.5", + "--topdown-scale", "1.2", + ] + result = subprocess.run(topdown_args, capture_output=True, text=True, timeout=120) + if result.returncode != 0: + return full_scene_name, False, f"Topdown render failed: {result.stderr[:200]}" + + # Render diagonal view + diagonal_args = base_args + [ + "--output", diagonal_output, + "--view-mode", "diagonal", + "--diagonal-distance", "1.2", + "--diagonal-height-offset", "0.1", + ] + result = subprocess.run(diagonal_args, capture_output=True, text=True, timeout=120) + if result.returncode != 0: + return full_scene_name, False, f"Diagonal render failed: {result.stderr[:200]}" + + return full_scene_name, True, "OK" + except subprocess.TimeoutExpired: + return full_scene_name, False, "Timeout" + except Exception as e: + return full_scene_name, False, str(e) + + +def render_all_scenes(scenes: list[tuple[str, str]], max_workers: int = 4, skip_existing: bool = False) -> None: + """Render all scenes that have GLB files using multiprocessing.""" + print(f"Checking {len(scenes)} scenes for rendering...") + + # Find scenes with existing valid GLB files (non-empty) + scenes_to_render = [] + skipped_empty = 0 + skipped_missing = 0 + skipped_existing = 0 + + for full_scene_name, scene_dir in scenes: + glb_path = os.path.join(scene_dir, "glb_scene.glb") + if os.path.exists(glb_path): + if os.path.getsize(glb_path) > 0: + # Check if renders already exist when skip_existing is enabled + if skip_existing: + topdown_output = os.path.join(scene_dir, "render_topdown.png") + diagonal_output = os.path.join(scene_dir, "render_diagonal.png") + if os.path.exists(topdown_output) and os.path.exists(diagonal_output): + skipped_existing += 1 + continue + scenes_to_render.append((full_scene_name, scene_dir)) + else: + skipped_empty += 1 + else: + skipped_missing += 1 + + print(f"Found {len(scenes_to_render)} scenes to render") + if skipped_existing > 0: + print(f" Skipped {skipped_existing} already rendered scenes") + if skipped_empty > 0: + print(f" Skipped {skipped_empty} empty/corrupted GLB files") + if skipped_missing > 0: + print(f" Skipped {skipped_missing} missing GLB files") + print(f"Using {max_workers} workers") + + if not scenes_to_render: + print("No scenes to render!") + return + + success_count = 0 + fail_count = 0 + + with ProcessPoolExecutor(max_workers=max_workers) as executor: + futures = { + executor.submit(render_one_scene, (scene[0], scene[1], skip_existing)): scene[0] + for scene in scenes_to_render + } + + with tqdm(total=len(futures), desc="Rendering") as pbar: + for future in as_completed(futures): + scene_name, success, msg = future.result() + if success: + success_count += 1 + else: + fail_count += 1 + tqdm.write(f"Failed: {scene_name} - {msg}") + pbar.update(1) + + print(f"\nRender: {success_count} success, {fail_count} failed") + + +def main(): + parser = argparse.ArgumentParser(description="Batch process aligned scenes from different datasets") + parser.add_argument( + "--dataset", + choices=DATASETS + ["all"], + default="scannet", + help="Dataset to process (default: scannet)" + ) + parser.add_argument( + "--mode", + choices=["compose", "render", "all"], + default="all", + help="compose: generate GLB files, render: render views, all: both" + ) + parser.add_argument( + "--workers", + type=int, + default=max(1, cpu_count() // 2), + help=f"Number of parallel workers (default: {max(1, cpu_count() // 2)})" + ) + parser.add_argument( + "--limit", + type=int, + default=None, + help="Limit number of scenes to process (for testing)" + ) + parser.add_argument( + "--start", + type=int, + default=0, + help="Start index for scenes (for resuming)" + ) + parser.add_argument( + "--skip-existing", + action="store_true", + default=False, + help="Skip scenes that already have GLB/render files (for resuming)" + ) + args = parser.parse_args() + + # Get datasets to process + if args.dataset == "all": + datasets_to_process = DATASETS + else: + datasets_to_process = [args.dataset] + + for dataset in datasets_to_process: + print(f"\n{'='*60}") + print(f"Processing dataset: {dataset}") + print(f"{'='*60}") + + # Get all scenes + all_scenes = get_all_scenes(dataset) + print(f"Found {len(all_scenes)} scenes") + + if not all_scenes: + print(f"No scenes found for {dataset}, skipping...") + continue + + # Apply limits + scenes = all_scenes[args.start:] + if args.limit: + scenes = scenes[:args.limit] + + if args.start > 0 or args.limit: + print(f"Processing scenes {args.start} to {args.start + len(scenes)}") + + if args.mode in ["compose", "all"]: + print("\n=== Step 1: Composing GLB files ===") + compose_all_scenes(scenes, max_workers=args.workers, skip_existing=args.skip_existing) + + if args.mode in ["render", "all"]: + print("\n=== Step 2: Rendering views ===") + render_all_scenes(scenes, max_workers=args.workers, skip_existing=args.skip_existing) + + print("\nAll done!") + + +if __name__ == "__main__": + main() diff --git a/tools/post_process/reorder_asset_fields.py b/tools/post_process/reorder_asset_fields.py new file mode 100644 index 0000000000000000000000000000000000000000..a0d5d2f9ee809a8af56e47f16e84d0f103f3a2c0 --- /dev/null +++ b/tools/post_process/reorder_asset_fields.py @@ -0,0 +1,216 @@ +#!/usr/bin/env python3 +""" +重新排列 unified-layout-aligned 中所有场景的 asset 字段顺序。 + +目标顺序: +1. id +2. category +3. role (如果有) +4. description +5. transform (包含 pos, size, rot) +6. model_id 或 model_uid (放在最后，如果有的话) + +使用方法: + python tools/post_process/reorder_asset_fields.py + python tools/post_process/reorder_asset_fields.py --dry-run # 只预览，不修改 +""" + +import argparse +import json +import os +from pathlib import Path +from concurrent.futures import ProcessPoolExecutor, as_completed +from collections import OrderedDict + +# 默认路径 +ALIGNED_LAYOUT_DIR = "/home/v-meiszhang/backup/datas/unified-layout-aligned" + +# 目标字段顺序（不包含 model_id/model_uid，它们会放在最后） +FIELD_ORDER = ["id", "category", "role", "description", "transform"] + + +def reorder_asset_fields(asset: dict) -> dict: + """ + 重新排列 asset 的字段顺序。 + + 目标顺序: + 1. id + 2. category + 3. role (如果有) + 4. description + 5. transform + 6. model_id 或 model_uid (放在最后) + """ + ordered = OrderedDict() + + # 按顺序添加已知字段 + for field in FIELD_ORDER: + if field in asset: + ordered[field] = asset[field] + + # 添加其他未知字段（除了 model_id/model_uid） + model_field = None + model_value = None + + for key, value in asset.items(): + if key in FIELD_ORDER: + continue + if key in ("model_id", "model_uid"): + model_field = key + model_value = value + else: + ordered[key] = value + + # 最后添加 model_id 或 model_uid + if model_field is not None: + ordered[model_field] = model_value + + return dict(ordered) + + +def process_layout_file(layout_path: str, dry_run: bool = False) -> tuple: + """ + 处理单个 layout.json 文件。 + + Returns: + (path, success, message, num_assets_processed) + """ + try: + with open(layout_path, 'r', encoding='utf-8') as f: + data = json.load(f) + + num_assets = 0 + modified = False + + if data.get("scene_type") is not None: + del data["scene_type"] + + metadata = data.get("meta", {}) + # "coordinate_system": "Z-up", + # "rotation_unit": "radians", + # "aligned": true, + # "original_dataset": "scannet" + del metadata["coordinate_system"] + del metadata["rotation_unit"] + del metadata["aligned"] + del metadata["original_dataset"] + + # 处理 functional_zones 中的 assets + if 'functional_zones' in data: + for zone in data['functional_zones']: + if 'assets' in zone: + new_assets = [] + for asset in zone['assets']: + new_asset = reorder_asset_fields(asset) + new_assets.append(new_asset) + num_assets += 1 + # 检查是否有变化 + if list(asset.keys()) != list(new_asset.keys()): + modified = True + zone['assets'] = new_assets + + if not dry_run and modified: + with open(layout_path, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=2) + + status = "modified" if modified else "unchanged" + return (layout_path, True, status, num_assets) + + except Exception as e: + return (layout_path, False, str(e), 0) + + +def discover_all_layouts(base_dir: str) -> list: + """发现所有 layout.json 文件""" + layouts = [] + + for dataset in ["scannet", "3rscan", "arkitscenes", "3d-front"]: + dataset_dir = os.path.join(base_dir, dataset) + if not os.path.isdir(dataset_dir): + continue + + for root, dirs, files in os.walk(dataset_dir): + if "layout.json" in files: + layouts.append(os.path.join(root, "layout.json")) + + return layouts + + +def main(): + parser = argparse.ArgumentParser(description="Reorder asset fields in unified-layout-aligned") + parser.add_argument( + "--base-dir", + default=ALIGNED_LAYOUT_DIR, + help="Base directory of aligned layouts" + ) + parser.add_argument( + "--dry-run", + action="store_true", + help="Only preview changes, don't modify files" + ) + parser.add_argument( + "--workers", + type=int, + default=16, + help="Number of worker processes" + ) + parser.add_argument( + "--limit", + type=int, + help="Limit number of files to process" + ) + + args = parser.parse_args() + + print(f"Discovering layout files in {args.base_dir}...") + layouts = discover_all_layouts(args.base_dir) + print(f"Found {len(layouts)} layout files") + + if args.limit: + layouts = layouts[:args.limit] + print(f"Limited to {len(layouts)} files") + + if args.dry_run: + print("\n*** DRY RUN MODE - No files will be modified ***\n") + + # 处理文件 + results = {"modified": 0, "unchanged": 0, "failed": 0} + total_assets = 0 + + print(f"Processing with {args.workers} workers...") + + with ProcessPoolExecutor(max_workers=args.workers) as executor: + futures = { + executor.submit(process_layout_file, path, args.dry_run): path + for path in layouts + } + + for i, future in enumerate(as_completed(futures), 1): + path, success, status, num_assets = future.result() + total_assets += num_assets + + if success: + results[status] += 1 + else: + results["failed"] += 1 + print(f"Failed: {path} - {status}") + + if i % 1000 == 0 or i == len(layouts): + print(f"[{i}/{len(layouts)}] modified={results['modified']}, unchanged={results['unchanged']}, failed={results['failed']}") + + # 打印统计 + print("\n" + "=" * 60) + print("SUMMARY") + print("=" * 60) + print(f"Total files processed: {len(layouts)}") + print(f"Modified: {results['modified']}") + print(f"Unchanged: {results['unchanged']}") + print(f"Failed: {results['failed']}") + print(f"Total assets processed: {total_assets}") + + if args.dry_run: + print("\n*** DRY RUN - No files were actually modified ***") + + +if __name__ == "__main__": + main() diff --git a/tools/post_process/scene_type_cache.json b/tools/post_process/scene_type_cache.json new file mode 100644 index 0000000000000000000000000000000000000000..1607a4a19f1a4827b213dd7b501564fa213d48b5 --- /dev/null +++ b/tools/post_process/scene_type_cache.json @@ -0,0 +1,155228 @@ +{ + "scannet/scene0001_01": { + "scene_type": "livingroom", + "categories": [ + "couch", + "table", + "chair", + "window", + "door", + "backpack", + "column", + "picture", + "bin" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0002_00": { + "scene_type": "livingroom", + "categories": [ + "doorframe", + "cabinet", + "door", + "fireplace", + "coffee maker", + "stand", + "chair", + "plant", + "sign", + "bin", + "pillow", + "tv", + "bag", + "shelf", + "toy", + "window", + "fan", + "shoe", + "picture", + "teapot", + "ottoman", + "radiator", + "table", + "lamp", + "refrigerator", + "couch", + "microwave", + "backpack", + "printer", + "hat" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0001_00": { + "scene_type": "livingroom", + "categories": [ + "couch", + "table", + "chair", + "column", + "window", + "picture", + "door", + "doorframe", + "wrap", + "plant" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0000_01": { + "scene_type": "other", + "categories": [ + "scale", + "basket", + "oven", + "guitar", + "shovel", + "towel", + "toilet", + "door", + "tissue box", + "hat", + "backpack", + "book", + "wrap", + "doorframe", + "mirror", + "bin", + "window", + "kettle", + "shoe", + "case", + "curtain", + "desk", + "cabinet", + "toaster", + "bicycle", + "stool", + "refrigerator", + "pillow", + "tv", + "clock" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0000_02": { + "scene_type": "bedroom", + "categories": [ + "bicycle", + "cabinet", + "refrigerator", + "clock", + "desk", + "curtain", + "window", + "bed", + "stand", + "ottoman", + "stool", + "chair", + "oven", + "tv", + "backpack", + "bin", + "couch", + "guitar", + "shower", + "sink", + "hamper", + "toilet", + "door", + "towel", + "microwave", + "shoe", + "book", + "pillow", + "wrap", + "helmets" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0003_00": { + "scene_type": "kitchen", + "categories": [ + "counter", + "cabinet", + "water cooler", + "microwave", + "bin", + "refrigerator", + "sink", + "door", + "dispenser", + "doorframe", + "bottle", + "stopcock", + "switch", + "picture" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0002_01": { + "scene_type": "livingroom", + "categories": [ + "tv", + "bin", + "plant", + "chair", + "printer", + "fan", + "shoe", + "statue", + "remote control", + "refrigerator", + "cabinet", + "doorframe", + "picture", + "lamp", + "coffee maker", + "fireplace", + "stand", + "shelf", + "ledge", + "couch", + "basket", + "microwave", + "door", + "window", + "radiator", + "pillow", + "table", + "hat", + "stool", + "bottle" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0000_00": { + "scene_type": "other", + "categories": [ + "window", + "table", + "counter", + "shower", + "curtain", + "desk", + "cabinet", + "sink", + "scale", + "bin", + "tv", + "pillow", + "clock", + "backpack", + "stool", + "couch", + "refrigerator", + "toilet", + "bed", + "oven", + "basket", + "guitar", + "tissue box", + "stand", + "dish rack", + "microwave", + "toaster", + "door", + "shelf", + "bicycle" + ], + "timestamp": "2025-12-02 10:48:51" + }, + "scannet/scene0004_00": { + "scene_type": "diningroom", + "categories": [ + "table", + "blinds", + "window", + "chair" + ], + "timestamp": "2025-12-02 10:49:12" + }, + "scannet/scene0003_01": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "refrigerator", + "water cooler", + "bin", + "sink", + "knife", + "soap dispenser", + "dispenser", + "microwave", + "backpack", + "door", + "switch", + "picture", + "bottle", + "stopcock", + "socket" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0006_00": { + "scene_type": "bedroom", + "categories": [ + "bed", + "curtain", + "desk", + "chair", + "tv", + "pillow", + "stand", + "lamp", + "telephone", + "backpack", + "purse", + "case", + "picture", + "shoe", + "bag", + "table", + "clothes", + "mirror", + "bin", + "door", + "doorframe", + "bottle", + "plant", + "paper", + "switch", + "coffee maker", + "cup", + "book" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0005_00": { + "scene_type": "study_room", + "categories": [ + "bench", + "cart", + "chair", + "tv", + "cabinet", + "table", + "teapot", + "door", + "dvd", + "picture", + "bin", + "switch", + "plant" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0003_02": { + "scene_type": "kitchen", + "categories": [ + "sink", + "cabinet", + "refrigerator", + "water cooler", + "backpack", + "bin", + "microwave", + "soap dispenser", + "dispenser", + "plug", + "doorframe", + "door", + "can", + "switch", + "picture", + "stopcock", + "socket" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0006_01": { + "scene_type": "bedroom", + "categories": [ + "bed", + "desk", + "curtain", + "pillow", + "picture", + "doorframe", + "door", + "case", + "backpack", + "purse", + "lamp", + "book", + "mirror", + "telephone", + "tv", + "chair", + "clothes", + "table", + "shoe", + "bottle", + "bowl", + "switch", + "coffee maker", + "cup" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0005_01": { + "scene_type": "study_room", + "categories": [ + "table", + "chair", + "tv", + "bench", + "cabinet", + "bin", + "cart", + "door", + "shoe", + "switch", + "plant", + "book", + "picture" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0006_02": { + "scene_type": "bedroom", + "categories": [ + "pillow", + "tv", + "bed", + "chair", + "curtain", + "table", + "lamp", + "case", + "stand", + "cabinet", + "picture", + "backpack", + "purse", + "doorframe", + "door", + "coffee maker", + "book", + "mirror", + "bin", + "clothes", + "shoe", + "telephone", + "bottle", + "cup" + ], + "timestamp": "2025-12-02 10:49:13" + }, + "scannet/scene0008_00": { + "scene_type": "livingroom", + "categories": [ + "couch", + "chair", + "table", + "door", + "pillow", + "lamp", + "tv", + "doorframe", + "window", + "switch", + "socket" + ], + "timestamp": "2025-12-02 10:49:39" + }, + "scannet/scene0009_01": { + "scene_type": "bathroom", + "categories": [ + "dispenser", + "sink", + "stall", + "door", + "bin", + "soap dispenser", + "mirror", + "socket", + "bottle" + ], + "timestamp": "2025-12-02 10:49:39" + }, + "scannet/scene0009_02": { + "scene_type": "bathroom", + "categories": [ + "sink", + "mirror", + "dispenser", + "soap dispenser", + "bin", + "door", + "stall", + "socket" + ], + "timestamp": "2025-12-02 10:49:40" + }, + "scannet/scene0009_00": { + "scene_type": "bathroom", + "categories": [ + "stall", + "sink", + "dispenser", + "soap dispenser", + "bin", + "mirror", + "door", + "socket", + "picture" + ], + "timestamp": "2025-12-02 10:49:40" + }, + "scannet/scene0007_00": { + "scene_type": "other", + "categories": [ + "box", + "cabinet", + "bin", + "door", + "shoe", + "tube", + "object", + "bucket", + "doorframe", + "picture" + ], + "timestamp": "2025-12-02 10:49:40" + }, + "scannet/scene0010_00": { + "scene_type": "study_room", + "categories": [ + "bag", + "plate", + "laptop", + "book", + "vase", + "blackboard", + "bin", + "backpack", + "shoe", + "cabinet", + "window", + "paper", + "shelf", + "box", + "computer", + "chair", + "desk", + "speaker", + "monitor", + "jacket", + "table", + "door", + "keyboard", + "plug", + "mouse", + "switch", + "socket", + "bottle", + "cup", + "board" + ], + "timestamp": "2025-12-02 10:49:41" + }, + "scannet/scene0011_00": { + "scene_type": "diningroom", + "categories": [ + "cabinet", + "table", + "chair", + "bin", + "tv", + "refrigerator", + "window", + "counter", + "sink", + "door", + "doorframe", + "socket", + "oven" + ], + "timestamp": "2025-12-02 10:49:41" + }, + "scannet/scene0010_01": { + "scene_type": "study_room", + "categories": [ + "computer", + "monitor", + "chair", + "shelf", + "desk", + "bin", + "speaker", + "box", + "paper", + "cabinet", + "backpack", + "jacket", + "table", + "window", + "doorframe", + "door", + "bag", + "plate", + "book", + "ball", + "blackboard", + "laptop", + "switch", + "socket", + "bottle", + "keyboard", + "mouse", + "spoon" + ], + "timestamp": "2025-12-02 10:49:41" + }, + "scannet/scene0011_01": { + "scene_type": "kitchen", + "categories": [ + "refrigerator", + "chair", + "counter", + "window", + "tv", + "table", + "bin", + "oven", + "cabinet", + "furniture", + "sink", + "door", + "switch", + "socket" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0012_00": { + "scene_type": "study_room", + "categories": [ + "chair", + "board", + "shelf", + "table", + "door", + "doorframe", + "plant", + "box", + "bag", + "basket", + "bowl", + "carpet", + "plate", + "book" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0012_02": { + "scene_type": "study_room", + "categories": [ + "chair", + "shelf", + "box", + "table", + "basket", + "door", + "doorframe", + "board", + "bag", + "carpet", + "book", + "cup" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0012_01": { + "scene_type": "study_room", + "categories": [ + "chair", + "shelf", + "table", + "box", + "plant", + "door", + "doorframe", + "board", + "bag", + "carpet", + "cup", + "book" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0013_01": { + "scene_type": "study_room", + "categories": [ + "chair", + "table", + "paper" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0014_00": { + "scene_type": "bathroom", + "categories": [ + "doorframe", + "rod", + "door", + "curtain", + "holder", + "window", + "toilet", + "dispenser", + "cabinet", + "bin", + "soap dispenser", + "sink", + "picture", + "toilet paper", + "brush", + "hanger", + "paper", + "mat" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0013_00": { + "scene_type": "study_room", + "categories": [ + "chair", + "table", + "paper" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0013_02": { + "scene_type": "study_room", + "categories": [ + "chair", + "table", + "paper" + ], + "timestamp": "2025-12-02 10:50:15" + }, + "scannet/scene0016_00": { + "scene_type": "other", + "categories": [ + "picture", + "basket", + "container", + "shelf", + "microwave", + "pillow", + "piano", + "ball", + "cup", + "shoe", + "box", + "toy", + "tube", + "bowl", + "curtain", + "helmets", + "bag", + "refrigerator", + "bin", + "couch", + "door", + "machine", + "object" + ], + "timestamp": "2025-12-02 10:50:19" + }, + "scannet/scene0016_01": { + "scene_type": "other", + "categories": [ + "curtain", + "ball", + "bag", + "refrigerator", + "shelf", + "piano", + "container", + "basket", + "pillow", + "box", + "couch", + "helmets", + "microwave", + "tube", + "stool", + "picture", + "shoe", + "hat", + "door", + "machine", + "switch" + ], + "timestamp": "2025-12-02 10:50:19" + }, + "scannet/scene0016_02": { + "scene_type": "other", + "categories": [ + "container", + "box", + "hat", + "piano", + "shoe", + "toy", + "picture", + "pillow", + "ball", + "refrigerator", + "couch", + "book", + "curtain", + "bag", + "door", + "tube", + "cup", + "can", + "stool", + "microwave", + "shelf", + "helmets", + "basket", + "machine", + "chair", + "switch" + ], + "timestamp": "2025-12-02 10:50:19" + }, + "scannet/scene0017_02": { + "scene_type": "study_room", + "categories": [ + "window", + "picture", + "chair", + "table", + "door", + "monitor", + "keyboard", + "bin", + "telephone", + "plant", + "blackboard", + "cabinet", + "book", + "computer", + "bowl", + "mouse", + "bottle", + "container", + "box", + "cup", + "socket", + "paper", + "headphones" + ], + "timestamp": "2025-12-02 10:50:19" + }, + "scannet/scene0015_00": { + "scene_type": "study_room", + "categories": [ + "chair", + "window", + "table", + "blackboard", + "backpack", + "cup", + "bottle", + "socket" + ], + "timestamp": "2025-12-02 10:50:19" + }, + "scannet/scene0017_01": { + "scene_type": "study_room", + "categories": [ + "window", + "chair", + "desk", + "monitor", + "bin", + "keyboard", + "book", + "cabinet", + "plant", + "computer", + "door", + "switch", + "bottle", + "cup", + "telephone", + "headphones", + "container", + "paper", + "picture", + "fan" + ], + "timestamp": "2025-12-02 10:50:19" + }, + "scannet/scene0018_00": { + "scene_type": 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"2025-12-02 17:28:01" + }, + "arkitscenes/Validation/48018381": { + "scene_type": "livingroom", + "categories": [ + "cabinet", + "shelf", + "monitor", + "couch", + "table", + "stove", + "sink", + "toy", + "light", + "flowerpot", + "plant", + "pillow", + "book", + "cup", + "vase", + "window", + "radiator" + ], + "timestamp": "2025-12-02 17:27:59" + }, + "arkitscenes/Validation/48018379": { + "scene_type": "livingroom", + "categories": [ + "couch", + "cabinet", + "table", + "shelf", + "monitor", + "toy", + "pillow", + "flowerpot", + "radiator", + "book", + "light", + "window", + "mirror" + ], + "timestamp": "2025-12-02 17:27:57" + }, + "arkitscenes/Validation/48018387": { + "scene_type": "bathroom", + "categories": [ + "bathtub", + "toilet", + "cabinet", + "sink", + "stool", + "box", + "door" + ], + "timestamp": "2025-12-02 17:28:00" + }, + "arkitscenes/Validation/48018559": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "refrigerator", + "sink", + "oven", + "stove", + "stool", + "microwave", + "can", + "light", + "kettle", + "window" + ], + "timestamp": "2025-12-02 17:28:18" + }, + "arkitscenes/Validation/48018560": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "refrigerator", + "oven", + "sink", + "stove", + "stool", + "microwave", + "light", + "cup", + "kettle", + "towel", + "box", + "window" + ], + "timestamp": "2025-12-02 17:28:18" + }, + "arkitscenes/Validation/48018572": { + "scene_type": "livingroom", + "categories": [ + "couch", + "table", + "cabinet", + "monitor", + "bowl", + "flowerpot", + "radiator" + ], + "timestamp": "2025-12-02 17:28:22" + }, + "arkitscenes/Validation/48018571": { + "scene_type": "livingroom", + "categories": [ + "couch", + "table", + "cabinet", + "monitor", + "radiator", + "laptop", + "teapot", + "window" + ], + "timestamp": "2025-12-02 17:28:21" + }, + "arkitscenes/Validation/48018562": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "refrigerator", + "oven", + "stove", + "sink", + "washing machine", + "stool", + "microwave", + "kettle", + "towel", + "light", + "bottle", + "book", + "window" + ], + "timestamp": "2025-12-02 17:28:21" + }, + "arkitscenes/Validation/48018566": { + "scene_type": "livingroom", + "categories": [ + "couch", + "table", + "cabinet", + "monitor", + "flowerpot", + "plant", + "book", + "radiator" + ], + "timestamp": "2025-12-02 17:28:21" + }, + "arkitscenes/Validation/48018732": { + "scene_type": "bedroom", + "categories": [ + "table", + "couch", + "cabinet", + "monitor", + "stool", + "bin", + "light", + "speaker", + "bed", + "plate", + "window" + ], + "timestamp": "2025-12-02 17:28:22" + }, + "arkitscenes/Validation/48018730": { + "scene_type": "bedroom", + "categories": [ + "table", + "bed", + "chair", + "stool", + "cabinet", + "monitor", + "backpack", + "object", + "speaker", + "light", + "window" + ], + "timestamp": "2025-12-02 17:28:23" + }, + "arkitscenes/Validation/48018962": { + "scene_type": "bathroom", + "categories": [ + "washing machine", + "shelf", + "toilet", + "sink", + "object", + "ball", + "bucket", + "towel", + "light", + "box" + ], + "timestamp": "2025-12-02 17:28:46" + }, + "arkitscenes/Validation/48018956": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "oven", + "stove", + "sink", + "shelf", + "refrigerator", + "table", + "chair", + "couch", + "monitor", + "flowerpot", + "plate", + "cup", + "pillow", + "bottle", + "backpack", + "microwave", + "pan", + "box", + "fruit", + "bin", + "curtain", + "object" + ], + "timestamp": "2025-12-02 17:28:45" + }, + "arkitscenes/Validation/48018737": { + "scene_type": "bathroom", + "categories": [ + "sink", + "bathtub", + "washing machine", + "box", + "bottle", + "clothes", + "light", + "shoe" + ], + "timestamp": "2025-12-02 17:28:45" + }, + "arkitscenes/Validation/48018960": { + "scene_type": "bathroom", + "categories": [ + "sink", + "toilet", + "washing machine", + "shelf", + "cup", + "box", + "bucket", + "bin", + "light", + "mirror" + ], + "timestamp": "2025-12-02 17:28:47" + }, + "arkitscenes/Validation/48018739": { + "scene_type": "bathroom", + "categories": [ + "bathtub", + "sink", + "washing machine", + "cabinet", + "bottle", + "box", + "light", + "clothes", + "shoe" + ], + "timestamp": "2025-12-02 17:28:47" + }, + "arkitscenes/Validation/48018741": { + "scene_type": "bathroom", + "categories": [ + "bathtub", + "sink", + "washing machine", + "cabinet", + "bin", + "light", + "box", + "door", + "carpet", + "bottle", + "towel", + "toiletry", + "mirror" + ], + "timestamp": "2025-12-02 17:28:45" + }, + "arkitscenes/Validation/48018966": { + "scene_type": "bedroom", + "categories": [ + "bed", + "chair", + "table", + "cabinet", + "shelf", + "monitor", + "toy", + "box", + "book", + "pillow", + "case", + "door", + "window" + ], + "timestamp": "2025-12-02 17:28:45" + }, + "arkitscenes/Validation/48018957": { + "scene_type": "bathroom", + "categories": [ + "sink", + "toilet", + "washing machine", + "shelf", + "cabinet", + "cup", + "box", + "light", + "bucket", + "basket", + "towel", + "carpet" + ], + "timestamp": "2025-12-02 17:28:46" + }, + "arkitscenes/Validation/48018970": { + "scene_type": "study_room", + "categories": [ + "table", + "chair", + "bed", + "cabinet", + "shelf", + "monitor", + "box", + "lamp", + "pillow", + "cup", + "teapot", + "door", + "window" + ], + "timestamp": "2025-12-02 17:28:50" + }, + "arkitscenes/Validation/48018972": { + "scene_type": "study_room", + "categories": [ + "bed", + "table", + "chair", + "cabinet", + "monitor", + "shelf", + "pillow", + "book", + "box", + "basket", + "teapot", + "plant", + "toy", + "frame", + "object", + "clothes", + "door", + "window" + ], + "timestamp": "2025-12-02 17:28:50" + }, + "arkitscenes/Validation/48458415": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "oven", + "stove", + "refrigerator", + "sink", + "washing machine", + "table", + "chair", + "monitor", + "couch", + "stool", + "bin", + "basket", + "bag", + "box", + "vase", + "clock", + "kettle", + "pan", + "fruit", + "pillow", + "light", + "towel", + "door", + "window" + ], + "timestamp": "2025-12-02 17:28:51" + }, + "arkitscenes/Validation/48458417": { + "scene_type": "kitchen", + "categories": [ + "table", + "chair", + "cabinet", + "monitor", + "refrigerator", + "oven", + "stove", + "sink", + "stool", + "couch", + "bag", + "bin", + "light", + "cup", + "pan", + "clock", + "kettle", + "shoe", + "case", + "door", + "window", + "radiator" + ], + "timestamp": "2025-12-02 17:28:51" + }, + "arkitscenes/Validation/48458424": { + "scene_type": "kitchen", + "categories": [ + "table", + "chair", + "refrigerator", + "cabinet", + "monitor", + "oven", + "stove", + "stool", + "couch", + "sink", + "bag", + "door", + "pan", + "bin", + "clock", + "kettle", + "light", + "frame", + "calendar", + "cup", + "bowl", + "book", + "window", + "backpack", + "can" + ], + "timestamp": "2025-12-02 17:28:52" + }, + "arkitscenes/Validation/48458427": { + "scene_type": "bathroom", + "categories": [ + "bathtub", + "sink", + "toilet", + "window", + "decoration", + "light", + "door", + "shelf", + "bin", + "flowerpot", + "cup" + ], + "timestamp": "2025-12-02 17:28:54" + }, + "arkitscenes/Validation/48458428": { + "scene_type": "bathroom", + "categories": [ + "bathtub", + "toilet", + "sink", + "bin", + "flowerpot", + "basin", + "towel", + "door", + "bag", + "window" + ], + "timestamp": "2025-12-02 17:28:54" + }, + "arkitscenes/Validation/48458430": { + "scene_type": "bathroom", + "categories": [ + "bathtub", + "sink", + "toilet", + "flowerpot", + "backpack", + "towel", + "door", + "window" + ], + "timestamp": "2025-12-02 17:28:52" + }, + "arkitscenes/Validation/48458456": { + "scene_type": "livingroom", + "categories": [ + "couch", + "cabinet", + "table", + "monitor", + "frame", + "pillow", + "bowl", + "lamp", + "teapot", + "plate", + "bag", + "toy", + "carpet", + "door", + "window", + "curtain", + "mirror", + "box" + ], + "timestamp": "2025-12-02 17:28:54" + }, + "arkitscenes/Validation/48458465": { + "scene_type": "livingroom", + "categories": [ + "couch", + "cabinet", + "table", + "monitor", + "chair", + "frame", + "pillow", + "plate", + "cup", + "shoe", + "backpack", + "teapot", + "book", + "lamp", + "door", + "carpet", + "curtain", + "window" + ], + "timestamp": "2025-12-02 17:28:55" + }, + "arkitscenes/Validation/48458472": { + "scene_type": "livingroom", + "categories": [ + "couch", + "table", + "cabinet", + "monitor", + "chair", + "frame", + "pillow", + "teapot", + "mirror", + "lamp", + "basket", + "plant", + "plate", + "carpet", + "shoe", + "curtain", + "window", + "book", + "toy" + ], + "timestamp": "2025-12-02 17:28:56" + }, + "arkitscenes/Validation/48458473": { + "scene_type": "livingroom", + "categories": [ + "cabinet", + "couch", + "table", + "pillow" + ], + "timestamp": "2025-12-02 17:28:56" + }, + "arkitscenes/Validation/48458481": { + "scene_type": "kitchen", + "categories": [ + "dishwasher", + "washing machine", + "cabinet", + "stool", + "table", + "pan", + "microwave", + "box", + "can", + "cup", + "light", + "door", + "shelf" + ], + "timestamp": "2025-12-02 17:28:56" + }, + "arkitscenes/Validation/48458484": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "washing machine", + "table", + "chair", + "box", + "pan", + "microwave", + "bin", + "plant", + "door", + "light", + "can" + ], + "timestamp": "2025-12-02 17:28:56" + }, + "arkitscenes/Validation/48458489": { + "scene_type": "other", + "categories": [ + "washing machine", + "table", + "cabinet", + "case", + "cup", + "box", + "fruit", + "basket", + "vase", + "door", + "frame", + "light" + ], + "timestamp": "2025-12-02 17:29:00" + }, + "arkitscenes/Validation/48458650": { + "scene_type": "bedroom", + "categories": [ + "table", + "chair", + "bed", + "cabinet", + "monitor", + "bin", + "radiator", + "window", + "mirror", + "clothes", + "picture", + "pillow" + ], + "timestamp": "2025-12-02 17:28:58" + }, + "arkitscenes/Validation/48458647": { + "scene_type": "bedroom", + "categories": [ + "bed", + "table", + "chair", + "cabinet", + "monitor", + "lamp", + "bucket", + "basket", + "radiator", + "clothes", + "flowerpot", + "pillow", + "book", + "door", + "window", + "picture", + "plant", + "mirror" + ], + "timestamp": "2025-12-02 17:28:58" + }, + "arkitscenes/Validation/48458652": { + "scene_type": "bedroom", + "categories": [ + "table", + "chair", + "bed", + "cabinet", + "monitor", + "plant", + "pillow", + "bucket", + "board", + "object", + "clothes", + "flowerpot", + "radiator", + "window", + "cup", + "door", + "picture", + "backpack", + "mirror" + ], + "timestamp": "2025-12-02 17:28:59" + }, + "arkitscenes/Validation/48458654": { + "scene_type": "bathroom", + "categories": [ + "toilet", + "shelf", + "sink", + "table", + "carpet", + "backpack", + "cabinet", + "radiator", + "door", + "towel", + "mirror" + ], + "timestamp": "2025-12-02 17:29:00" + }, + "arkitscenes/Validation/48458657": { + "scene_type": "bathroom", + "categories": [ + "toilet", + "shelf", + "sink", + "cabinet", + "bottle", + "cup", + "carpet", + "box", + "basket", + "towel", + "door" + ], + "timestamp": "2025-12-02 17:29:03" + }, + "arkitscenes/Validation/48458656": { + "scene_type": "bathroom", + "categories": [ + "cabinet", + "toilet", + "shelf", + "sink", + "table", + "carpet", + "box", + "bottle", + "teapot", + "towel", + "bin", + "door", + "radiator" + ], + "timestamp": "2025-12-02 17:29:01" + }, + "arkitscenes/Validation/48458660": { + "scene_type": "bedroom", + "categories": [ + "bed", + "cabinet", + "monitor", + "table", + "chair", + "shelf", + "bucket", + "basket", + "box", + "radiator", + "clothes", + "backpack", + "guitar", + "window", + "poster" + ], + "timestamp": "2025-12-02 17:29:02" + }, + "arkitscenes/Validation/48458663": { + "scene_type": "bedroom", + "categories": [ + "bed", + "table", + "chair", + "cabinet", + "monitor", + "shelf", + "bucket", + "basket", + "clothes", + "case", + "pillow", + "door", + "poster" + ], + "timestamp": "2025-12-02 17:29:03" + }, + "arkitscenes/Validation/48458665": { + "scene_type": "bedroom", + "categories": [ + "bed", + "cabinet", + "monitor", + "table", + "shelf", + "chair", + "cup", + "basket", + "bucket", + "bottle", + "object", + "clothes", + "door", + "box", + "window" + ], + "timestamp": "2025-12-02 17:29:04" + }, + "arkitscenes/Validation/48458667": { + "scene_type": "bedroom", + "categories": [ + "bed", + "table", + "chair", + "cabinet", + "shelf", + "monitor", + "pillow", + "bucket", + "ball", + "object", + "clothes", + "book", + "door", + "curtain", + "window", + "guitar", + "radiator" + ], + "timestamp": "2025-12-02 17:29:11" + }, + "arkitscenes/Validation/48458735": { + "scene_type": "kitchen", + "categories": [ + "table", + "couch", + "chair", + "monitor", + "cabinet", + "washing machine", + "oven", + "stove", + "sink", + "pillow", + "microwave", + "case", + "towel", + "backpack", + "bowl", + "fruit", + "door", + "bag", + "basket", + "cup", + "light", + "plant", + "range hood", + "window" + ], + "timestamp": "2025-12-02 17:29:20" + }, + "arkitscenes/Validation/48458732": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "table", + "oven", + "stove", + "sink", + "washing machine", + "chair", + "couch", + "monitor", + "pillow", + "bag", + "towel", + "vase", + "teapot", + "box", + "microwave", + "cup", + "bowl", + "backpack", + "knife", + "tv", + "door", + "bin", + "window", + "kitchenware" + ], + "timestamp": "2025-12-02 17:29:21" + }, + "arkitscenes/Validation/48458747": { + "scene_type": "kitchen", + "categories": [ + "cabinet", + "table", + "oven", + "stove", + "washing machine", + "sink", + "couch", + "chair", + "monitor", + "pillow", + "bin", + "microwave", + "box", + "vase", + "bowl", + "plate", + "cup", + "fruit", + "towel", + "kettle", + "door", + "window", + "range hood" + ], + "timestamp": "2025-12-02 17:29:25" + } +} \ No newline at end of file diff --git a/tools/utils/__init__.py b/tools/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tools/utils/matterport3d_output.py b/tools/utils/matterport3d_output.py new file mode 100644 index 0000000000000000000000000000000000000000..67603f73556720c8104fa6d093f9de33fc9dcae7 --- /dev/null +++ b/tools/utils/matterport3d_output.py @@ -0,0 +1,17 @@ +import json +import os + +dir_list = [] + +pth = "/home/v-meiszhang/backup/datas/InternScenes/Layout_info/matterport3d" + +for room_dir in os.listdir(pth): + room_dir_path = os.path.join(pth, room_dir) + if os.path.isdir(room_dir_path): + for region_dir in os.listdir(room_dir_path): + region_dir_path = os.path.join(room_dir_path, region_dir) + dir_list.append(region_dir_path) + +with open("matterport3d_dir_list.txt", "w") as f: + for item in dir_list: + f.write("%s\n" % item) \ No newline at end of file diff --git a/tools/utils/mycopy.sh b/tools/utils/mycopy.sh new file mode 100644 index 0000000000000000000000000000000000000000..d62acb402156acb13078aeeb2ecf48524f9a8ad6 --- /dev/null +++ b/tools/utils/mycopy.sh @@ -0,0 +1,24 @@ + +#!/bin/bash +SUBSCRIPTION_NAME="VtML - ML - MSRA" +STORAGE_ACCOUNT_NAME=msramldl +CONTAINER_NAME=backup +SRC_PATH=/home/v-meiszhang/amlt-project/group-layout/infer_results/individual_samples/full_20251215_002635/checkpoint-1200 +DEST_PATH=https://msramldl.blob.core.windows.net/backup/llm3d/infer_results/individual_samples +EXPIRY_DAYS=1 + +az account set --subscription "$SUBSCRIPTION_NAME" + +EXPIRY=$(date -u -d "+${EXPIRY_DAYS} days" '+%Y-%m-%dT%H:%MZ') + +SAS_TOKEN=$(az storage container generate-sas \ + --as-user \ + --auth-mode login \ + --account-name "$STORAGE_ACCOUNT_NAME" \ + --name "$CONTAINER_NAME" \ + --permissions dlrw \ + --expiry "$EXPIRY" -o tsv) + +DEST_URL="https://${STORAGE_ACCOUNT_NAME}.blob.core.windows.net/${CONTAINER_NAME}/${SRC_PATH}?${SAS_TOKEN}" + +azcopy copy "$SRC_PATH" "$DEST_URL" --recursive=true diff --git a/tools/utils/render_top2_largest.py b/tools/utils/render_top2_largest.py new file mode 100644 index 0000000000000000000000000000000000000000..d5a4bf2f57287c57b76c466c3c22aaaca4c10aab --- /dev/null +++ b/tools/utils/render_top2_largest.py @@ -0,0 +1,234 @@ +""" +Render the N largest assets from a scene layout (default N=2). +""" + +import os +import json +import argparse +import subprocess +import sys +import tempfile +from pathlib import Path +from typing import List, Dict, Any + +# Add project root +SCRIPT_DIR = Path(__file__).parent +REPO_ROOT = SCRIPT_DIR.parent.parent +sys.path.insert(0, str(REPO_ROOT)) + + +def get_asset_volume(asset: Dict) -> float: + """Calculate the volume of an asset from its size.""" + size = asset.get('size', [1, 1, 1]) + if len(size) >= 3: + return size[0] * size[1] * size[2] + return 0.0 + + +def get_all_assets(layout: Dict) -> List[Dict]: + """Extract all assets from layout (supports both flat and zone-based formats).""" + all_assets = [] + + # Check for flat assets list + if 'assets' in layout: + all_assets.extend(layout['assets']) + + # Check for functional_zones format + if 'functional_zones' in layout: + for zone in layout['functional_zones']: + if 'assets' in zone: + all_assets.extend(zone['assets']) + + return all_assets + + +def find_top_n_largest(layout: Dict, n: int = 2) -> List[Dict]: + """Find the N largest assets by volume.""" + all_assets = get_all_assets(layout) + + # Calculate volume for each asset + assets_with_volume = [] + for asset in all_assets: + volume = get_asset_volume(asset) + assets_with_volume.append({ + 'asset': asset, + 'volume': volume + }) + + # Sort by volume (descending) + assets_with_volume.sort(key=lambda x: x['volume'], reverse=True) + + # Return top N + return [item['asset'] for item in assets_with_volume[:n]] + + +def compose_assets_scene(assets: List[Dict], output_path: str): + """Compose a scene with only the specified assets.""" + from tools.data_gen.compose_generated import compose_scene + + # Create a minimal layout with just these assets + layout = { + "meta": {"scene_type": "asset_vis"}, + "architecture": {"boundary_polygon": []}, + "assets": assets + } + + compose_scene( + layout=layout, + output_path=output_path, + add_floor=False, + add_walls=False, + add_ceiling=False, + ) + print(f" Composed scene: {output_path}") + + +def run_command(cmd, env=None, quiet=False): + """Run a shell command.""" + print(f" Running: {cmd[:100]}...") + try: + if quiet: + subprocess.check_call(cmd, shell=True, env=env, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL) + else: + subprocess.check_call(cmd, shell=True, env=env) + return True + except subprocess.CalledProcessError as e: + print(f" Command failed: {e}") + return False + + +def render_scene(glb_path: str, output_path: str, view_mode: str = "diagonal", + width: int = 1200, height: int = 900): + """Render a GLB scene using Blender.""" + current_env = os.environ.copy() + + cmd = ( + f"conda run -n blender python InternScenes/InternScenes_Real2Sim/blender_renderer.py " + f"--input '{glb_path}' " + f"--output '{output_path}' " + f"--width {width} --height {height} " + f"--engine BLENDER_EEVEE --samples 64 " + f"--view-mode {view_mode} --auto-crop " + f"--floor-material solid " + f"--diagonal-distance 3.0 " + f"--camera-factor 2.0 " + ) + + run_command(cmd, env=current_env, quiet=True) + + +def render_top_n_largest( + layout_path: str, + output_dir: str, + n: int = 2, + render_views: List[str] = None, +): + """Main function to render the N largest assets from a layout.""" + if render_views is None: + render_views = ["side_front"] + + print(f"\n{'='*60}") + print(f"Render Top {n} Largest Assets") + print(f"{'='*60}") + print(f"Input: {layout_path}") + print(f"Output: {output_dir}") + print(f"{'='*60}\n") + + # Load layout + with open(layout_path, 'r') as f: + layout = json.load(f) + + # Create output directory + os.makedirs(output_dir, exist_ok=True) + + # Find top N largest assets + print(f"Finding the {n} largest assets by volume...") + top_assets = find_top_n_largest(layout, n=n) + + if len(top_assets) < n: + print(f"Warning: Only found {len(top_assets)} asset(s)!") + + print(f"\nTop {n} largest assets:") + for i, asset in enumerate(top_assets): + volume = get_asset_volume(asset) + category = asset.get('category', 'unknown') + size = asset.get('size', [0, 0, 0]) + model_uid = asset.get('model_uid', asset.get('uid', 'unknown'))[:40] + print(f" {i+1}. {category}") + print(f" Size: {size[0]:.2f} x {size[1]:.2f} x {size[2]:.2f}") + print(f" Volume: {volume:.3f}") + print(f" Model: {model_uid}...") + + if not top_assets: + print("No assets found in this layout!") + return + + print(f"\nRendering {len(top_assets)} asset(s) separately...") + + # Create temporary directory for intermediate files + with tempfile.TemporaryDirectory() as tmpdir: + # Render each asset separately + for idx, asset in enumerate(top_assets): + category = asset.get('category', 'unknown') + print(f"\n--- Rendering asset {idx+1}: {category} ---") + + # Compose scene with single asset + scene_glb = os.path.join(tmpdir, f"asset_{idx+1}.glb") + compose_assets_scene([asset], scene_glb) + + # Render from different views + for view in render_views: + print(f" Rendering {view} view...") + output_img = os.path.join(output_dir, f"asset{idx+1}_{category}_{view}.png") + render_scene(scene_glb, output_img, view_mode=view) + + if os.path.exists(output_img): + print(f" Saved: {output_img}") + + # Save asset info + info_path = os.path.join(output_dir, "asset_info.json") + info = { + 'top_assets': [ + { + 'category': a.get('category'), + 'model_uid': a.get('model_uid', a.get('uid')), + 'size': a.get('size'), + 'volume': get_asset_volume(a), + 'pos': a.get('pos'), + } + for a in top_assets + ] + } + with open(info_path, 'w') as f: + json.dump(info, f, indent=2) + + print(f"\n{'='*60}") + print(f"Done! Outputs saved to {output_dir}") + print(f"{'='*60}\n") + + +def main(): + parser = argparse.ArgumentParser(description='Render the N largest assets from a scene layout') + parser.add_argument('--input', default="/home/v-meiszhang/amlt-project/InternScenes/test_vis_output2/scannet_scene0368_01_coarse/layout_retrieved.json", help='Path to layout JSON file') + parser.add_argument('--output', default='top_n_output', help='Output directory') + parser.add_argument('-n', '--num', type=int, default=48, help='Number of assets to render (default: 2)') + parser.add_argument('--all-views', default=True, help='Render from all standard views') + + args = parser.parse_args() + + views = ["side_front"] # Use side_front for front view + if args.all_views: + views = ["side_front", "diagonal", "diagonal2", "topdown"] + + render_top_n_largest( + layout_path=args.input, + output_dir=args.output, + n=args.num, + render_views=views, + ) + + +if __name__ == "__main__": + main() diff --git a/tools/utils/statistics_asset_distribution.py b/tools/utils/statistics_asset_distribution.py new file mode 100644 index 0000000000000000000000000000000000000000..8ea31a7c2c2a7eba5add1578cde089ce38eea8b1 --- /dev/null +++ b/tools/utils/statistics_asset_distribution.py @@ -0,0 +1,188 @@ +#!/usr/bin/env python3 +""" +Statistics of asset library distribution in different datasets. +Analyzes the proportion of 3D assets from different sources. +""" + +import json +import os +import sys +from pathlib import Path +from collections import defaultdict + +BASE_PATH = Path("/home/v-meiszhang/backup/datas/InternScenes/Layout_info") + +def extract_asset_library(uid): + """Extract the asset library name from a model uid.""" + if uid.startswith("objaverse/"): + return "objaverse" + elif uid.startswith("objaverse_old/"): + return "objaverse_old" + elif uid.startswith("partnet_mobility"): + return "partnet_mobility" + elif uid.startswith("3D-FUTURE-model"): + return "3D-FUTURE-model" + elif uid.startswith("hssd-models"): + return "hssd-models" + elif uid.startswith("gen_assets"): + return "gen_assets" + elif uid.startswith("gr100"): + return "gr100" + else: + return "unknown" + +def process_dataset(dataset_name, dataset_path): + """Process a single dataset and return statistics.""" + # Statistics containers + total_instances = 0 + library_stats = defaultdict(lambda: {"count": 0, "scenes": set()}) + category_stats = defaultdict(lambda: defaultdict(int)) + scene_count = 0 + scenes_with_instances = 0 + + # Handle different dataset structures + if dataset_name == "arkitscenes": + # ARKitScenes has Training/Validation subdirs + search_dirs = [] + for split in ["Training", "Validation"]: + split_path = dataset_path / split + if split_path.exists(): + search_dirs.extend(sorted(split_path.iterdir())) + else: + # Other datasets have scenes directly + search_dirs = sorted(dataset_path.iterdir()) + + # Process all scenes + for scene_dir in search_dirs: + if not scene_dir.is_dir(): + continue + + scene_count += 1 + layout_file = scene_dir / "layout.json" + + if not layout_file.exists(): + continue + + try: + with open(layout_file, 'r') as f: + data = json.load(f) + + # layout.json is directly a list of instances + if isinstance(data, list): + instances = data + else: + instances = data.get("instances", []) + + if not instances: + continue + + scenes_with_instances += 1 + + for instance in instances: + total_instances += 1 + + uid = instance.get("model_uid", "") + category = instance.get("category", "unknown") + + if not uid: + library = "empty_uid" + else: + library = extract_asset_library(uid) + + library_stats[library]["count"] += 1 + library_stats[library]["scenes"].add(scene_dir.name) + category_stats[library][category] += 1 + + except Exception as e: + print(f" Error {scene_dir.name}: {e}", file=sys.stderr) + + return { + "total_instances": total_instances, + "library_stats": library_stats, + "category_stats": category_stats, + "scene_count": scene_count, + "scenes_with_instances": scenes_with_instances + } + +def print_statistics(dataset_name, stats): + """Print statistics for a dataset.""" + total_instances = stats["total_instances"] + library_stats = stats["library_stats"] + category_stats = stats["category_stats"] + scene_count = stats["scene_count"] + scenes_with_instances = stats["scenes_with_instances"] + + print("=" * 80) + print(f"{dataset_name.upper()} ASSET LIBRARY STATISTICS") + print("=" * 80) + print() + + print(f"Total scenes: {scene_count}") + print(f"Scenes with instances: {scenes_with_instances}") + print(f"Total instances: {total_instances}") + print() + + if total_instances == 0: + print("No instances found!") + print() + return + + print("-" * 80) + print("ASSET LIBRARY DISTRIBUTION") + print("-" * 80) + print() + + # Sort by count descending + sorted_libs = sorted(library_stats.items(), key=lambda x: x[1]["count"], reverse=True) + + print(f"{'Library':<25} {'Count':<10} {'Percentage':<12} {'Scenes':<10}") + print("-" * 80) + + for library, stats_data in sorted_libs: + count = stats_data["count"] + percentage = 100.0 * count / total_instances if total_instances > 0 else 0 + scenes_count = len(stats_data["scenes"]) + print(f"{library:<25} {count:<10} {percentage:>10.2f}% {scenes_count:<10}") + + print("-" * 80) + print() + + # Print top categories per library + print("-" * 80) + print("TOP CATEGORIES BY ASSET LIBRARY") + print("-" * 80) + print() + + for library, _ in sorted_libs[:8]: # Top 8 libraries + categories = category_stats[library] + sorted_cats = sorted(categories.items(), key=lambda x: x[1], reverse=True) + + print(f"{library}:") + for category, count in sorted_cats[:5]: # Top 5 categories + percentage = 100.0 * count / library_stats[library]["count"] + print(f" - {category:<30} {count:<8} ({percentage:>6.2f}%)") + print() + + print("=" * 80) + print() + +def main(): + datasets = ["scannet", "arkitscenes", "3rscan", "matterport3d"] + + if len(sys.argv) > 1: + # Process specific dataset if provided + datasets = sys.argv[1:] + + for dataset_name in datasets: + dataset_path = BASE_PATH / dataset_name + + if not dataset_path.exists(): + print(f"Warning: {dataset_path} not found, skipping") + continue + + print(f"Processing {dataset_name}...") + stats = process_dataset(dataset_name, dataset_path) + print_statistics(dataset_name, stats) + +if __name__ == "__main__": + main() diff --git a/tools/utils/unified_layout.json b/tools/utils/unified_layout.json new file mode 100644 index 0000000000000000000000000000000000000000..0af6616be2d5aa1f931c6c9e7457c34ab40a5d33 --- /dev/null +++ b/tools/utils/unified_layout.json @@ -0,0 +1,63 @@ +{ + "meta": { + "scene_id": "scannet/scene0000_00", + "scene_type": "..." + }, + "architecture": { + "floor_polygon": [ + [ + -1.85, + 0.0, + 2.05 + ], + [ + 1.85, + 0.0, + 2.05 + ], + [ + 1.85, + 0.0, + -2.05 + ], + [ + -1.85, + 0.0, + -2.05 + ], + [ + -1.85, + 2.6, + 2.05 + ], + [ + 1.85, + 2.6, + 2.05 + ], + [ + 1.85, + 2.6, + -2.05 + ], + [ + -1.85, + 2.6, + -2.05 + ] + ], + "height": 2.6 + }, + "assets": [ + { + "id": 0, + "model_id": "...", + "category": "...", + "description": "...", + "pos": [-0.1, 0.42, 2.33], + "size": [1.99, 0.83, 1.56], + "rot": [0, -90, 0] + }, + ... + ] +} \ No newline at end of file diff --git a/tools/utils/visualize_zone_isolation.py b/tools/utils/visualize_zone_isolation.py new file mode 100644 index 0000000000000000000000000000000000000000..747e5c8833287b75c9d8e815500ff5a6c4edd77e --- /dev/null +++ b/tools/utils/visualize_zone_isolation.py @@ -0,0 +1,487 @@ +#!/usr/bin/env python3 +""" +Zone Isolation Visualization - Render each functional zone independently. + +This script renders each zone separately with close-up "in your face" camera views +while ensuring all assets in the zone are visible. Renders 8 views per zone: +- 4 diagonal views (diagonal, diagonal2, diagonal3, diagonal4) +- 4 side views (side_front, side_back, side_left, side_right) + +Output structure: + output_dir/ + zone_/ + diagonal.png + diagonal2.png + diagonal3.png + diagonal4.png + side_front.png + side_back.png + side_left.png + side_right.png + zone_info.json + +Based on visualize_zones_progressive.py logic. +""" + +import os +import json +import argparse +import subprocess +import sys +import shutil +from pathlib import Path +from typing import List, Dict, Any, Optional, Tuple +from copy import deepcopy + +import numpy as np +import trimesh +from trimesh.visual.material import PBRMaterial + +# Add project root +SCRIPT_DIR = Path(__file__).parent +REPO_ROOT = SCRIPT_DIR.parent.parent +sys.path.insert(0, str(REPO_ROOT)) + +# Import from visualize_zones +from tools.utils.visualize_zones import ( + ZONE_COLORS, + compute_zone_bbox, + compute_all_zone_bboxes, + get_scene_bounds, +) + + +# All 8 view modes +DIAGONAL_VIEWS = ["diagonal", "diagonal2", "diagonal3", "diagonal4"] +SIDE_VIEWS = ["side_front", "side_back", "side_left", "side_right"] +ALL_VIEWS = DIAGONAL_VIEWS + SIDE_VIEWS + + +def run_command(cmd, env=None, quiet=False): + """Run a shell command.""" + if not quiet: + print(f" Running: {cmd[:100]}...") + try: + if quiet: + subprocess.check_call(cmd, shell=True, env=env, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL) + else: + subprocess.check_call(cmd, shell=True, env=env) + return True + except subprocess.CalledProcessError as e: + print(f" Command failed: {e}") + return False + + +def compose_single_zone_scene( + layout: Dict, + zone_index: int, + output_path: str, + use_retrieval: bool = True, + embedding_manager=None, + asset_finder=None, +) -> str: + """ + Compose a scene with only a single zone's assets. + + Args: + layout: Full layout dictionary + zone_index: Index of zone to include (0-based) + output_path: Output GLB path + use_retrieval: Whether to run asset retrieval + embedding_manager: Pre-initialized embedding manager + asset_finder: Pre-initialized asset finder + + Returns: + Path to composed GLB + """ + from tools.data_gen.compose_generated import compose_scene + + # Create layout with only the selected zone + partial_layout = deepcopy(layout) + + all_zones = layout.get('functional_zones', []) + + if zone_index >= len(all_zones): + raise ValueError(f"Zone index {zone_index} out of range (total: {len(all_zones)})") + + # Keep only the specified zone + partial_layout['functional_zones'] = [all_zones[zone_index]] + + # Remove top-level assets to avoid duplication + partial_layout.pop('assets', None) + partial_layout.pop('groups', None) + + if use_retrieval: + from tools.data_gen.layout_retrieval import process_layout + + # Use provided managers or create new ones + if embedding_manager is None or asset_finder is None: + from tools.asset_description.asset_embedding_manager import AssetEmbeddingManager + from tools.asset_description.asset_finder import AssetFinder + + asset_library_dir = os.path.join(REPO_ROOT, "data/asset_library") + embeddings_file = os.path.join(REPO_ROOT, "tools/asset_embeddings.pkl") + + embedding_manager = AssetEmbeddingManager(embeddings_file=embeddings_file) + asset_finder = AssetFinder(asset_library_dir) + + partial_layout = process_layout(partial_layout, embedding_manager, asset_finder) + + # Compose scene - no floor, walls, or ceiling for isolated zone view + compose_scene( + layout=partial_layout, + output_path=output_path, + add_floor=False, + add_walls=False, + add_ceiling=False, + ) + + return output_path + + +def compute_zone_camera_params(zone_info: Dict) -> Dict: + """ + Compute camera parameters to get a close-up view of the zone. + + Args: + zone_info: Zone info dict with bbox + + Returns: + Dict with camera parameters + """ + bbox = zone_info['bbox'] + bbox_min = np.array(bbox['min']) + bbox_max = np.array(bbox['max']) + + # Compute center and size + center = (bbox_min + bbox_max) / 2.0 + size = bbox_max - bbox_min + + # Diagonal of the bbox - determines how far camera needs to be + diagonal = np.linalg.norm(size) + + # For close-up view, use smaller distance factor + # The camera will be positioned at diagonal_distance * diagonal from center + camera_distance_factor = 0.8 # Close-up but still see everything + + return { + 'center': center.tolist(), + 'size': size.tolist(), + 'diagonal': float(diagonal), + 'camera_distance_factor': camera_distance_factor, + } + + +def render_zone_view( + glb_path: str, + output_path: str, + view_mode: str, + zone_camera_params: Dict, + width: int = 1600, + height: int = 1200, + engine: str = "BLENDER_EEVEE", + samples: int = 256, +): + """ + Render a zone from a specific view with close-up camera. + + Args: + glb_path: Input GLB path + output_path: Output PNG path + view_mode: Camera view mode + zone_camera_params: Camera parameters computed from zone bbox + width: Image width + height: Image height + engine: Blender render engine + samples: Number of samples + """ + current_env = os.environ.copy() + + # Use smaller diagonal distance for close-up view + diagonal_distance = zone_camera_params['camera_distance_factor'] + + # High quality render args similar to visualize_gt_hq.py + HQ_RENDER_ARGS = ( + f"--engine {engine} --samples {samples} " + "--fill-lights " + "--floor-material solid" # Simple floor for zone isolation + ) + + # Side views get slight elevation angle for better perspective + elevation_arg = "" + if view_mode.startswith("side_"): + elevation_arg = "--side-elevation-angle 25" + + cmd = ( + f"conda run -n blender python InternScenes/InternScenes_Real2Sim/blender_renderer.py " + f"--input '{glb_path}' " + f"--output '{output_path}' " + f"--width {width} --height {height} " + f"--view-mode {view_mode} " + f"--diagonal-distance {diagonal_distance} " + f"--camera-factor 1.2 " # Slightly wider field of view + f"{elevation_arg} " + f"{HQ_RENDER_ARGS}" + ) + + return run_command(cmd, env=current_env, quiet=True) + + +def visualize_zone_isolation( + layout_path: str, + output_dir: str, + use_retrieval: bool = True, + render_diagonal: bool = True, + render_side: bool = True, + width: int = 1600, + height: int = 1200, + engine: str = "BLENDER_EEVEE", + samples: int = 256, + zone_indices: List[int] = None, +): + """ + Main function: render each zone independently with close-up views. + + Args: + layout_path: Path to layout.json file + output_dir: Directory to save outputs + use_retrieval: Whether to run asset retrieval + render_diagonal: Whether to render 4 diagonal views + render_side: Whether to render 4 side views + width: Image width + height: Image height + engine: Blender render engine + samples: Number of render samples + zone_indices: Specific zone indices to render (None = all zones) + """ + print(f"\n{'='*60}") + print(f"Zone Isolation Visualization") + print(f"{'='*60}") + print(f"Input: {layout_path}") + print(f"Output: {output_dir}") + print(f"Engine: {engine}, Samples: {samples}") + print(f"Resolution: {width}x{height}") + print(f"{'='*60}\n") + + # Load layout + with open(layout_path, 'r') as f: + layout = json.load(f) + + # Create output directory + os.makedirs(output_dir, exist_ok=True) + + # Get zones info + functional_zones = layout.get('functional_zones', []) + n_zones = len(functional_zones) + + if n_zones == 0: + print("Error: No functional zones found in layout!") + return + + print(f"Found {n_zones} functional zones") + + # Compute zone bboxes + print("\nComputing zone bounding boxes...") + zones_info = compute_all_zone_bboxes(layout) + + if len(zones_info) == 0: + print("Error: No valid zones with bbox found!") + return + + # Map zone_id to original index + zone_id_to_original_idx = {} + for i, zone in enumerate(functional_zones): + zone_id = zone.get('id', f'zone_{i}') + zone_id_to_original_idx[zone_id] = i + + for zone_info in zones_info: + zone_info['original_index'] = zone_id_to_original_idx.get(zone_info['zone_id'], -1) + + # Filter to specific zone indices if provided + if zone_indices is not None: + zones_info = [z for z in zones_info if z['original_index'] in zone_indices] + print(f"Filtering to {len(zones_info)} specified zones") + + # Print zone info + print("\nZones to render:") + for zone_info in zones_info: + print(f" [{zone_info['original_index']}] {zone_info['zone_id']}: {zone_info['semantic_label']} ({zone_info['asset_count']} assets)") + + # Determine views to render + views_to_render = [] + if render_diagonal: + views_to_render.extend(DIAGONAL_VIEWS) + if render_side: + views_to_render.extend(SIDE_VIEWS) + + if not views_to_render: + print("Error: No views to render! Enable at least --diagonal or --side") + return + + print(f"\nViews to render per zone: {views_to_render}") + + # Create temp directory for intermediate GLBs + temp_dir = os.path.join(output_dir, "_temp") + os.makedirs(temp_dir, exist_ok=True) + + # Initialize embedding manager and asset finder once + embedding_manager = None + asset_finder = None + if use_retrieval: + print("\nInitializing asset retrieval system...") + from tools.asset_description.asset_embedding_manager import AssetEmbeddingManager + from tools.asset_description.asset_finder import AssetFinder + + asset_library_dir = os.path.join(REPO_ROOT, "data/asset_library") + embeddings_file = os.path.join(REPO_ROOT, "tools/asset_embeddings.pkl") + + embedding_manager = AssetEmbeddingManager(embeddings_file=embeddings_file) + asset_finder = AssetFinder(asset_library_dir) + print(" Asset retrieval system initialized.") + + # Process each zone + for zone_info in zones_info: + zone_id = zone_info['zone_id'] + zone_idx = zone_info['original_index'] + semantic_label = zone_info['semantic_label'] + + print(f"\n{'='*50}") + print(f"Processing Zone: {zone_id} ({semantic_label})") + print(f"{'='*50}") + + # Create zone output directory + zone_output_dir = os.path.join(output_dir, f"zone_{zone_id}") + os.makedirs(zone_output_dir, exist_ok=True) + + # Compose scene with only this zone's assets + zone_glb_path = os.path.join(temp_dir, f"zone_{zone_id}_scene.glb") + print(f" Composing zone scene...") + try: + compose_single_zone_scene( + layout=layout, + zone_index=zone_idx, + output_path=zone_glb_path, + use_retrieval=use_retrieval, + embedding_manager=embedding_manager, + asset_finder=asset_finder, + ) + except Exception as e: + print(f" Error composing zone: {e}") + continue + + # Compute camera params for close-up view + camera_params = compute_zone_camera_params(zone_info) + print(f" Zone bbox diagonal: {camera_params['diagonal']:.2f}m") + + # Render all views + for view in views_to_render: + output_img = os.path.join(zone_output_dir, f"{view}.png") + print(f" Rendering {view}...") + + success = render_zone_view( + glb_path=zone_glb_path, + output_path=output_img, + view_mode=view, + zone_camera_params=camera_params, + width=width, + height=height, + engine=engine, + samples=samples, + ) + + if success and os.path.exists(output_img): + print(f" ✓ Saved: {output_img}") + else: + print(f" ✗ Failed to render {view}") + + # Save zone info + zone_info_path = os.path.join(zone_output_dir, "zone_info.json") + zone_info_to_save = { + 'zone_id': zone_id, + 'semantic_label': semantic_label, + 'asset_count': zone_info['asset_count'], + 'bbox': zone_info['bbox'], + 'camera_params': camera_params, + } + with open(zone_info_path, 'w') as f: + json.dump(zone_info_to_save, f, indent=2) + + # Clean up temp directory + # shutil.rmtree(temp_dir) # Uncomment to auto-clean + + print(f"\n{'='*60}") + print(f"Done! Outputs saved to: {output_dir}") + print(f"{'='*60}") + + # Summary + print("\n=== Output Summary ===") + for zone_info in zones_info: + zone_id = zone_info['zone_id'] + zone_dir = os.path.join(output_dir, f"zone_{zone_id}") + if os.path.exists(zone_dir): + files = [f for f in os.listdir(zone_dir) if f.endswith('.png')] + print(f" zone_{zone_id}/: {len(files)} images") + + +def main(): + parser = argparse.ArgumentParser( + description="Render each functional zone independently with close-up views", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + # Basic usage - render all zones with all 8 views + python visualize_zone_isolation.py --input layout.json --output zone_output + + # Render only diagonal views + python visualize_zone_isolation.py --input layout.json --output zone_output --no-side + + # Render only side views + python visualize_zone_isolation.py --input layout.json --output zone_output --no-diagonal + + # Render specific zones only (by index) + python visualize_zone_isolation.py --input layout.json --output zone_output --zones 0 2 3 + + # Higher quality with CYCLES + python visualize_zone_isolation.py --input layout.json --output zone_output --engine CYCLES --samples 512 + + # Higher resolution + python visualize_zone_isolation.py --input layout.json --output zone_output --width 2400 --height 1800 + +Views rendered per zone: + Diagonal: diagonal, diagonal2, diagonal3, diagonal4 + Side: side_front, side_back, side_left, side_right +""" + ) + + parser.add_argument("--input", default="case_hq/H-shaped_01_001536_1766364802273481/layout_retrieved/layout_retrieved.json", help="Path to layout JSON file") + parser.add_argument("--output", default="zone_isolation_output1536", help="Output directory") + parser.add_argument("--no-retrieval", action="store_true", help="Skip asset retrieval (use existing model_uid)") + parser.add_argument("--no-diagonal", action="store_true", help="Skip diagonal views") + parser.add_argument("--no-side", action="store_true", help="Skip side views") + parser.add_argument("--zones", type=int, nargs="+", help="Specific zone indices to render") + parser.add_argument("--width", type=int, default=1600, help="Image width (default: 1600)") + parser.add_argument("--height", type=int, default=1200, help="Image height (default: 1200)") + parser.add_argument("--engine", default="BLENDER_EEVEE", choices=["BLENDER_EEVEE", "CYCLES"], + help="Blender render engine (default: BLENDER_EEVEE)") + parser.add_argument("--samples", type=int, default=256, help="Render samples (default: 256)") + + args = parser.parse_args() + + visualize_zone_isolation( + layout_path=args.input, + output_dir=args.output, + use_retrieval=not args.no_retrieval, + render_diagonal=not args.no_diagonal, + render_side=not args.no_side, + width=args.width, + height=args.height, + engine=args.engine, + samples=args.samples, + zone_indices=args.zones, + ) + + +if __name__ == "__main__": + main() diff --git a/tools/utils/visualize_zones_progressive.py b/tools/utils/visualize_zones_progressive.py new file mode 100644 index 0000000000000000000000000000000000000000..481516214e58dce7f581fdbf7c9df31f947c7a7a --- /dev/null +++ b/tools/utils/visualize_zones_progressive.py @@ -0,0 +1,696 @@ +#!/usr/bin/env python3 +""" +Progressive Visualization of Functional Zones in a 3D Indoor Scene Layout. + +This script renders a series of images showing zones being added one by one, +starting from an empty scene and progressively adding each zone with its assets. +Each zone's bounding box can be optionally visualized. + +Output: +- step_0_empty.png: Empty scene (floor only) +- step_1_zone_.png: First zone added +- step_2_zone_.png: First + second zone +- ... +- step_N_all_zones.png: All zones with bboxes + +Materials available: +- tiled_wood, herringbone, ceramic_tile, marble_tile, carpet, solid, dark_wood, light_wood +""" + +import os +import json +import argparse +import subprocess +import sys +import shutil +from pathlib import Path +from typing import List, Dict, Any, Optional, Tuple +from copy import deepcopy + +import numpy as np +import trimesh +from trimesh.visual.material import PBRMaterial + +# Add project root +SCRIPT_DIR = Path(__file__).parent +REPO_ROOT = SCRIPT_DIR.parent.parent +sys.path.insert(0, str(REPO_ROOT)) + +# Import from visualize_zones +from tools.utils.visualize_zones import ( + ZONE_COLORS, + compute_zone_bbox, + compute_all_zone_bboxes, + get_scene_bounds, + clamp_bbox_to_bounds, + create_zone_bbox_glb, + run_command, + add_zone_labels_to_image, +) + + +# Available floor materials +FLOOR_MATERIALS = [ + "ceramic_tile", + "tiled_wood", + "herringbone", + "marble_tile", + "carpet", + "solid", + "dark_wood", + "light_wood", +] + + +def compose_partial_scene( + layout: Dict, + zone_indices: List[int], + output_path: str, + use_retrieval: bool = True, + embedding_manager=None, + asset_finder=None, +) -> str: + """ + Compose a scene with only specified zones. + + Args: + layout: Full layout dictionary + zone_indices: Indices of zones to include (0-based) + output_path: Output GLB path + use_retrieval: Whether to run asset retrieval + embedding_manager: Pre-initialized embedding manager (optional, for reuse) + asset_finder: Pre-initialized asset finder (optional, for reuse) + + Returns: + Path to composed GLB + """ + from tools.data_gen.compose_generated import compose_scene + + # Create partial layout with only selected zones + partial_layout = deepcopy(layout) + + all_zones = layout.get('functional_zones', []) + + # Filter to only the specified zone indices + partial_zones = [all_zones[i] for i in zone_indices if i < len(all_zones)] + partial_layout['functional_zones'] = partial_zones + + # Remove top-level assets to avoid duplication + partial_layout.pop('assets', None) + partial_layout.pop('groups', None) + + if use_retrieval: + from tools.data_gen.layout_retrieval import process_layout + + # Use provided managers or create new ones + if embedding_manager is None or asset_finder is None: + from tools.asset_description.asset_embedding_manager import AssetEmbeddingManager + from tools.asset_description.asset_finder import AssetFinder + + asset_library_dir = os.path.join(REPO_ROOT, "data/asset_library") + embeddings_file = os.path.join(REPO_ROOT, "tools/asset_embeddings.pkl") + + embedding_manager = AssetEmbeddingManager(embeddings_file=embeddings_file) + asset_finder = AssetFinder(asset_library_dir) + + partial_layout = process_layout(partial_layout, embedding_manager, asset_finder) + + # Compose scene + compose_scene( + layout=partial_layout, + output_path=output_path, + add_walls=False, + add_ceiling=False, + ) + + return output_path + + +def create_single_zone_bbox_glb( + zone_info: Dict, + output_path: str, + scene_bounds: Optional[Dict] = None, + face_alpha: float = 0.15, + edge_alpha: float = 0.8, + edge_radius: float = 0.015, + render_faces: bool = True, + render_edges: bool = True, +): + """ + Create a GLB file containing bounding box for a single zone with transparent faces. + + Args: + zone_info: Zone info dict with bbox, color, etc. + output_path: Output GLB path + scene_bounds: Optional scene bounds to clamp bbox after padding + face_alpha: Alpha value for box faces (0.0-1.0, default 0.25) + edge_alpha: Alpha value for wireframe edges (0.0-1.0, default 0.8) + edge_radius: Radius of edge cylinders (default 0.015m) + render_faces: Whether to render transparent box faces (default True) + render_edges: Whether to render wireframe edges (default True) + """ + create_zone_bbox_glb( + [zone_info], + output_path, + scene_bounds=scene_bounds, + face_alpha=face_alpha, + edge_alpha=edge_alpha, + edge_radius=edge_radius, + render_faces=render_faces, + render_edges=render_edges, + ) + + +def create_multi_zone_bbox_glb( + zones_info: List[Dict], + output_path: str, + scene_bounds: Optional[Dict] = None, + face_alpha: float = 0.25, + edge_alpha: float = 0.8, + edge_radius: float = 0.015, + render_faces: bool = True, + render_edges: bool = True, +): + """ + Create a GLB file containing bounding boxes for multiple zones with transparent faces. + + Args: + zones_info: List of zone info dicts + output_path: Output GLB path + scene_bounds: Optional scene bounds to clamp bbox after padding + face_alpha: Alpha value for box faces (0.0-1.0, default 0.25) + edge_alpha: Alpha value for wireframe edges (0.0-1.0, default 0.8) + edge_radius: Radius of edge cylinders (default 0.015m) + render_faces: Whether to render transparent box faces (default True) + render_edges: Whether to render wireframe edges (default True) + """ + create_zone_bbox_glb( + zones_info, + output_path, + scene_bounds=scene_bounds, + face_alpha=face_alpha, + edge_alpha=edge_alpha, + edge_radius=edge_radius, + render_faces=render_faces, + render_edges=render_edges, + ) + + +def merge_glb_files(base_glb: str, overlay_glb: str, output_glb: str): + """ + Merge two GLB files (scene + zone bboxes). + + Args: + base_glb: Base scene GLB path + overlay_glb: Overlay GLB (zone bboxes) path + output_glb: Output merged GLB path + """ + try: + base_mesh = trimesh.load(base_glb) + overlay_mesh = trimesh.load(overlay_glb) + + if isinstance(base_mesh, trimesh.Scene): + if isinstance(overlay_mesh, trimesh.Scene): + for name, geom in overlay_mesh.geometry.items(): + base_mesh.add_geometry(geom, node_name=f"overlay_{name}") + else: + base_mesh.add_geometry(overlay_mesh, node_name="overlay") + else: + scene = trimesh.Scene() + scene.add_geometry(base_mesh, node_name="base") + if isinstance(overlay_mesh, trimesh.Scene): + for name, geom in overlay_mesh.geometry.items(): + scene.add_geometry(geom, node_name=f"overlay_{name}") + else: + scene.add_geometry(overlay_mesh, node_name="overlay") + base_mesh = scene + + base_mesh.export(output_glb) + + except Exception as e: + print(f" Warning: Could not merge GLBs: {e}") + shutil.copy(base_glb, output_glb) + + +def render_scene( + glb_path: str, + output_path: str, + zones_info: List[Dict] = None, + scene_bounds: Dict = None, + show_labels: bool = True, + floor_material: str = "ceramic_tile", + view_mode: str = "diagonal", + width: int = 1600, + height: int = 900, + engine: str = "BLENDER_EEVEE", + samples: int = 64, +): + """ + Render a GLB scene using Blender and add zone labels. + + Args: + glb_path: Input GLB path + output_path: Output PNG path + zones_info: List of zone info dicts for label annotation + scene_bounds: Dict with 'center' and 'radius' for 3D->2D projection + show_labels: Whether to add semantic label text overlays + floor_material: Floor material type + view_mode: Camera view mode (diagonal, diagonal2, topdown) + width: Image width + height: Image height + engine: Blender render engine + samples: Number of samples + """ + current_env = os.environ.copy() + + cmd = ( + f"conda run -n blender python InternScenes/InternScenes_Real2Sim/blender_renderer.py " + f"--input '{glb_path}' " + f"--output '{output_path}' " + f"--width {width} --height {height} " + f"--engine {engine} --samples {samples} " + f"--view-mode {view_mode} --auto-crop " + f"--floor-material {floor_material}" + ) + + run_command(cmd, env=current_env, quiet=True) + + # Add zone labels as text overlays if zones_info provided and show_labels is True + if show_labels and zones_info and scene_bounds: + add_zone_labels_to_image(output_path, zones_info, scene_bounds, view_mode=view_mode) + + +def visualize_zones_progressive( + layout_path: str, + output_dir: str, + floor_material: str = "ceramic_tile", + view_mode: str = "diagonal", + show_bboxes: bool = True, + show_labels: bool = True, + use_retrieval: bool = True, + render_all_materials: bool = False, + render_all_views: bool = False, + width: int = 1600, + height: int = 900, + engine: str = "BLENDER_EEVEE", + samples: int = 64, + # Zone bbox visualization parameters + face_alpha: float = 0.25, + edge_alpha: float = 0.8, + edge_radius: float = 0.015, + render_faces: bool = True, + render_edges: bool = True, +): + """ + Main function: progressively visualize zones being added one by one. + + Args: + layout_path: Path to layout.json file + output_dir: Directory to save outputs + floor_material: Floor material type (or "all" for all materials) + view_mode: Camera view mode + show_bboxes: Whether to show zone bounding boxes + show_labels: Whether to add semantic label text overlays on rendered images + use_retrieval: Whether to run asset retrieval + render_all_materials: Whether to render with all available materials + render_all_views: Whether to render all view modes (diagonal, diagonal2, topdown) + width: Image width + height: Image height + engine: Blender render engine (BLENDER_EEVEE, CYCLES, etc.) + samples: Number of render samples + face_alpha: Alpha value for zone bbox faces (0.0-1.0, default 0.25) + edge_alpha: Alpha value for zone bbox edges (0.0-1.0, default 0.8) + edge_radius: Radius of edge cylinders in meters (default 0.015) + render_faces: Whether to render transparent box faces (default True) + render_edges: Whether to render wireframe edges (default True) + """ + print(f"\n{'='*60}") + print(f"Progressive Zone Visualization") + print(f"{'='*60}") + print(f"Input: {layout_path}") + print(f"Output: {output_dir}") + print(f"Floor Material: {floor_material}") + print(f"View Mode: {view_mode}") + print(f"Show BBoxes: {show_bboxes}") + print(f"{'='*60}\n") + + # Load layout + with open(layout_path, 'r') as f: + layout = json.load(f) + + # Create output directory + os.makedirs(output_dir, exist_ok=True) + + # Get zones + functional_zones = layout.get('functional_zones', []) + n_zones = len(functional_zones) + + if n_zones == 0: + print("Error: No functional zones found in layout!") + return + + print(f"Found {n_zones} functional zones:") + + # Compute zone bboxes using the same logic as visualize_zones.py + # This ensures bbox computation is exactly the same + print("\nComputing zone bounding boxes...") + zones_info = compute_all_zone_bboxes(layout) + + # zones_info already has correct colors based on original zone indices + # Add original_index to track which zone in functional_zones this corresponds to + # We need to match zones_info back to functional_zones by zone_id + zone_id_to_original_idx = {} + for i, zone in enumerate(functional_zones): + zone_id = zone.get('id', f'zone_{i}') + zone_id_to_original_idx[zone_id] = i + + for zone_info in zones_info: + zone_info['original_index'] = zone_id_to_original_idx.get(zone_info['zone_id'], -1) + color = zone_info['color'] + color_str = f"RGB({int(color[0]*255)}, {int(color[1]*255)}, {int(color[2]*255)})" + print(f" [orig:{zone_info['original_index']}] {zone_info['zone_id']}: {zone_info['semantic_label']} ({zone_info['asset_count']} assets) - {color_str}") + + if len(zones_info) == 0: + print("Error: No valid zones with bbox found!") + return + + n_valid_zones = len(zones_info) + + # Get scene bounds for clamping bbox visualization + scene_bounds = get_scene_bounds(layout) + + # Calculate scene center and radius for 3D->2D projection + import numpy as np + scene_min = np.array(scene_bounds['min']) + scene_max = np.array(scene_bounds['max']) + scene_center_arr = (scene_min + scene_max) / 2.0 + scene_radius = np.linalg.norm(scene_max - scene_min) / 2.0 + scene_bounds_for_projection = { + 'center': scene_center_arr.tolist(), + 'radius': float(scene_radius) + } + + # Save zones info + zones_info_path = os.path.join(output_dir, "zones_info.json") + with open(zones_info_path, 'w') as f: + json.dump(zones_info, f, indent=2) + print(f"\nSaved zones info to: {zones_info_path}") + + # Determine materials to render + materials_to_render = FLOOR_MATERIALS if render_all_materials else [floor_material] + + # Determine views to render + # 4 diagonal views + 4 side views + ALL_VIEWS = ["diagonal", "diagonal2", "diagonal3", "diagonal4", + "side_front", "side_back", "side_left", "side_right"] + views_to_render = ALL_VIEWS if render_all_views else [view_mode] + + # Create temp directory for intermediate GLBs + temp_dir = os.path.join(output_dir, "_temp") + os.makedirs(temp_dir, exist_ok=True) + + # Initialize embedding manager and asset finder once (for reuse) + embedding_manager = None + asset_finder = None + if use_retrieval: + print("\nInitializing asset retrieval system...") + from tools.asset_description.asset_embedding_manager import AssetEmbeddingManager + from tools.asset_description.asset_finder import AssetFinder + + asset_library_dir = os.path.join(REPO_ROOT, "data/asset_library") + embeddings_file = os.path.join(REPO_ROOT, "tools/asset_embeddings.pkl") + + embedding_manager = AssetEmbeddingManager(embeddings_file=embeddings_file) + asset_finder = AssetFinder(asset_library_dir) + print(" Asset retrieval system initialized.") + + # --- Step 0: Empty scene (floor only) --- + print(f"\n[Step 0] Creating empty scene (floor only)...") + + # Create layout with no zones/assets for floor-only scene + empty_layout = deepcopy(layout) + empty_layout['functional_zones'] = [] + empty_layout.pop('assets', None) + empty_layout.pop('groups', None) + + empty_glb_path = os.path.join(temp_dir, "step_0_empty.glb") + + from tools.data_gen.compose_generated import compose_scene + compose_scene( + layout=empty_layout, + output_path=empty_glb_path, + add_walls=False, + add_ceiling=False, + ) + + for mat in materials_to_render: + for view in views_to_render: + mat_suffix = f"_{mat}" if render_all_materials else "" + view_suffix = f"_{view}" if render_all_views else "" + render_path = os.path.join(output_dir, f"step_0_empty{view_suffix}{mat_suffix}.png") + print(f" Rendering {view} with {mat}...") + render_scene( + glb_path=empty_glb_path, + output_path=render_path, + floor_material=mat, + view_mode=view, + width=width, + height=height, + engine=engine, + samples=samples, + zones_info=None, # Empty scene, no zones + scene_bounds=None, # No zones to label + show_labels=False, # No zones to label + ) + + # --- Steps 1 to N: Add zones progressively --- + for step in range(1, n_valid_zones + 1): + # Get original zone indices for zones up to this step + zone_indices = [zones_info[i]['original_index'] for i in range(step)] + current_zone = zones_info[step - 1] + zone_id = current_zone['zone_id'] + semantic_label = current_zone['semantic_label'] + + print(f"\n[Step {step}] Adding zone: {zone_id} ({semantic_label})") + print(f" Original zone indices: {zone_indices}") + + # Compose partial scene + scene_glb_path = os.path.join(temp_dir, f"step_{step}_scene.glb") + compose_partial_scene( + layout=layout, + zone_indices=zone_indices, + output_path=scene_glb_path, + use_retrieval=use_retrieval, + embedding_manager=embedding_manager, + asset_finder=asset_finder, + ) + + # Create zone bbox GLB (for all zones up to this step) + if show_bboxes: + bbox_glb_path = os.path.join(temp_dir, f"step_{step}_bboxes.glb") + current_zones_info = zones_info[:step] + create_multi_zone_bbox_glb( + current_zones_info, + bbox_glb_path, + scene_bounds=scene_bounds, + face_alpha=face_alpha, + edge_alpha=edge_alpha, + edge_radius=edge_radius, + render_faces=render_faces, + render_edges=render_edges, + ) + + # Merge scene with bboxes + merged_glb_path = os.path.join(temp_dir, f"step_{step}_merged.glb") + merge_glb_files(scene_glb_path, bbox_glb_path, merged_glb_path) + render_glb = merged_glb_path + else: + render_glb = scene_glb_path + + # Render + for mat in materials_to_render: + for view in views_to_render: + mat_suffix = f"_{mat}" if render_all_materials else "" + view_suffix = f"_{view}" if render_all_views else "" + render_path = os.path.join(output_dir, f"step_{step}_zone_{zone_id}{view_suffix}{mat_suffix}.png") + print(f" Rendering {view} with {mat}...") + # Get zones info for labels (zones up to this step) + current_zones_info = zones_info[:step] + render_scene( + glb_path=render_glb, + output_path=render_path, + floor_material=mat, + view_mode=view, + width=width, + height=height, + engine=engine, + samples=samples, + zones_info=current_zones_info, + scene_bounds=scene_bounds_for_projection, + show_labels=show_labels, + ) + + # --- Final: Render with all bboxes highlighted --- + if show_bboxes: + print(f"\n[Final] Rendering complete scene with all zone bboxes...") + + # Create final bbox GLB + final_bbox_glb = os.path.join(temp_dir, "final_bboxes.glb") + create_multi_zone_bbox_glb( + zones_info, + final_bbox_glb, + scene_bounds=scene_bounds, + face_alpha=face_alpha, + edge_alpha=edge_alpha, + edge_radius=edge_radius, + render_faces=render_faces, + render_edges=render_edges, + ) + + # Use last step's scene + final_scene_glb = os.path.join(temp_dir, f"step_{n_valid_zones}_scene.glb") + final_merged_glb = os.path.join(temp_dir, "final_merged.glb") + merge_glb_files(final_scene_glb, final_bbox_glb, final_merged_glb) + + for mat in materials_to_render: + for view in views_to_render: + mat_suffix = f"_{mat}" if render_all_materials else "" + view_suffix = f"_{view}" if render_all_views else "" + render_path = os.path.join(output_dir, f"final_all_zones{view_suffix}{mat_suffix}.png") + print(f" Rendering {view} with {mat}...") + render_scene( + glb_path=final_merged_glb, + output_path=render_path, + floor_material=mat, + view_mode=view, + width=width, + height=height, + engine=engine, + samples=samples, + zones_info=zones_info, # All zones + scene_bounds=scene_bounds_for_projection, + show_labels=show_labels, + ) + + # Clean up temp directory (optional - comment out to keep intermediate files) + # shutil.rmtree(temp_dir) + + print(f"\n{'='*60}") + print(f"Done! Outputs saved to: {output_dir}") + print(f"{'='*60}") + + # Print legend + print("\n=== Zone Color Legend ===") + for zone in zones_info: + color = zone['color'] + color_str = f"RGB({int(color[0]*255)}, {int(color[1]*255)}, {int(color[2]*255)})" + print(f" {zone['zone_id']}: {zone['semantic_label']} - {color_str}") + + print(f"\n=== Output Files ===") + for f in sorted(os.listdir(output_dir)): + if f.endswith('.png'): + print(f" {f}") + + return zones_info + + +def main(): + parser = argparse.ArgumentParser( + description="Progressive visualization of functional zones in a 3D scene layout", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + # Basic usage with default settings (diagonal view, ceramic_tile floor) + python visualize_zones_progressive.py --input layout.json --output output_dir + + # Render with different floor material + python visualize_zones_progressive.py --input layout.json --output output_dir --floor-material herringbone + + # Render all available floor materials + python visualize_zones_progressive.py --input layout.json --output output_dir --all-materials + + # Use diagonal2 view (opposite corner) + python visualize_zones_progressive.py --input layout.json --output output_dir --view-mode diagonal2 + + # Render all views (4 diagonal + 4 side views) + python visualize_zones_progressive.py --input layout.json --output output_dir --all-views + + # Without bounding boxes + python visualize_zones_progressive.py --input layout.json --output output_dir --no-bboxes + + # Use CYCLES engine for higher quality + python visualize_zones_progressive.py --input layout.json --output output_dir --engine CYCLES --samples 128 + + # Full combination: all views + all materials + python visualize_zones_progressive.py --input layout.json --output output_dir --all-views --all-materials + +Available floor materials: tiled_wood, herringbone, ceramic_tile, marble_tile, carpet, solid, dark_wood, light_wood +View modes: diagonal, diagonal2, diagonal3, diagonal4 (4 corners), side_front, side_back, side_left, side_right (4 sides), topdown (bird's eye) +Engines: BLENDER_EEVEE (fast), CYCLES (high quality) +""" + ) + + parser.add_argument("--input", default="case_hq/H-shaped_01_001536_1766364802273481/layout_retrieved/layout_retrieved.json", help="Path to layout.json file") + parser.add_argument("--output", default="progressive_zone_output_start", help="Output directory") + parser.add_argument("--floor-material", default="tiled_wood", + choices=FLOOR_MATERIALS, + help="Floor material type (default: ceramic_tile)") + parser.add_argument("--all-materials", action="store_true", + help="Render with all available floor materials") + parser.add_argument("--view-mode", default="diagonal", + choices=["diagonal", "diagonal2", "diagonal3", "diagonal4", + "side_front", "side_back", "side_left", "side_right", "topdown"], + help="Camera view mode (default: diagonal)") + parser.add_argument("--all-views", action="store_true", + help="Render all view modes (diagonal, diagonal2, topdown)") + parser.add_argument("--no-bboxes", dest="show_bboxes", action="store_false", + help="Don't show zone bounding boxes") + parser.add_argument("--no-labels", dest="show_labels", action="store_false", + help="Don't add semantic label text overlays on rendered images") + parser.add_argument("--no-retrieval", action="store_true", + help="Skip asset retrieval (use existing model_uids)") + parser.add_argument("--width", type=int, default=1600, help="Image width (default: 1600)") + parser.add_argument("--height", type=int, default=900, help="Image height (default: 900)") + parser.add_argument("--engine", default="BLENDER_EEVEE", + choices=["BLENDER_EEVEE", "CYCLES", "BLENDER_EEVEE_NEXT"], + help="Blender render engine (default: BLENDER_EEVEE)") + parser.add_argument("--samples", type=int, default=64, + help="Number of render samples (default: 64)") + # Zone bbox visualization options + parser.add_argument("--face-alpha", type=float, default=0.25, + help="Alpha value for zone bbox faces (0.0-1.0, default 0.25)") + parser.add_argument("--edge-alpha", type=float, default=0.8, + help="Alpha value for zone bbox edges (0.0-1.0, default 0.8)") + parser.add_argument("--edge-radius", type=float, default=0.015, + help="Radius of edge cylinders in meters (default 0.015)") + parser.add_argument("--no-faces", dest="render_faces", action="store_false", default=True, + help="Don't render transparent box faces (wireframe only)") + parser.add_argument("--no-edges", dest="render_edges", action="store_false", default=True, + help="Don't render wireframe edges (faces only)") + + args = parser.parse_args() + + visualize_zones_progressive( + layout_path=args.input, + output_dir=args.output, + floor_material=args.floor_material, + view_mode=args.view_mode, + show_bboxes=args.show_bboxes, + show_labels=args.show_labels, + use_retrieval=not args.no_retrieval, + render_all_materials=args.all_materials, + render_all_views=args.all_views, + width=args.width, + height=args.height, + engine=args.engine, + samples=args.samples, + face_alpha=args.face_alpha, + edge_alpha=args.edge_alpha, + edge_radius=args.edge_radius, + render_faces=args.render_faces, + render_edges=args.render_edges, + ) + + +if __name__ == "__main__": + main()