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  1. .gitattributes +14 -0
  2. data/processed_data/scannet/.DS_Store +0 -0
  3. data/processed_data/scannet/color/train/scene0000_00/000000.jpg +3 -0
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  15. data/processed_data/scannet/intrinsic/train/intrinsic_depth_scene0000_00.txt +4 -0
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  22. data/processed_data/scannet/pose/train/scene0000_00/005577.txt +4 -0
  23. data/processed_data/scannet/successful_scenes_train.txt +1 -0
  24. data/qa/ScanQA_v1.0_test_w_obj.json +0 -0
  25. data/qa/ScanQA_v1.0_test_wo_obj.json +0 -0
  26. data/qa/ScanQA_v1.0_train.json +0 -0
  27. data/qa/ScanQA_v1.0_val.json +0 -0
  28. data/qa/extract_scene_ids.py +50 -0
  29. data/qa/scan_id.txt +800 -0
  30. data/raw_data/scannet/scannetv2-labels.combined.tsv +608 -0
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  34. data/raw_data/scannet/scans/scene0000_00/scene0000_00.sens +3 -0
  35. data/raw_data/scannet/scans/scene0000_00/scene0000_00.txt +18 -0
  36. data/raw_data/scannet/scans/scene0000_00/scene0000_00_2d-instance-filt.zip +3 -0
  37. data/raw_data/scannet/scans/scene0000_00/scene0000_00_2d-instance.zip +3 -0
  38. data/raw_data/scannet/scans/scene0000_00/scene0000_00_2d-label-filt.zip +3 -0
  39. data/raw_data/scannet/scans/scene0000_00/scene0000_00_2d-label.zip +3 -0
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data/qa/ScanQA_v1.0_test_w_obj.json ADDED
The diff for this file is too large to render. See raw diff
 
data/qa/ScanQA_v1.0_test_wo_obj.json ADDED
The diff for this file is too large to render. See raw diff
 
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The diff for this file is too large to render. See raw diff
 
data/qa/ScanQA_v1.0_val.json ADDED
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data/qa/extract_scene_ids.py ADDED
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1
+ #!/usr/bin/env python3
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+ """Collect sorted scene_id values from all JSON files in this directory."""
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+
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+ from __future__ import annotations
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+
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+ import json
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+ from pathlib import Path
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+ from typing import Any, Set
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+
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+
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+ OUTPUT_NAME = "scan_id.txt"
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+
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+
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+ def collect_scene_ids(obj: Any, out: Set[str]) -> None:
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+ """Recursively collect values for keys named scene_id."""
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+ if isinstance(obj, dict):
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+ for key, value in obj.items():
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+ if key == "scene_id":
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+ if isinstance(value, str):
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+ out.add(value)
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+ elif value is not None:
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+ out.add(str(value))
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+ collect_scene_ids(value, out)
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+ elif isinstance(obj, list):
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+ for item in obj:
26
+ collect_scene_ids(item, out)
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+
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+
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+ def main() -> None:
30
+ qa_dir = Path(__file__).resolve().parent
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+ json_files = sorted(qa_dir.glob("*.json"))
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+
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+ scene_ids: Set[str] = set()
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+ for json_file in json_files:
35
+ with json_file.open("r", encoding="utf-8") as f:
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+ data = json.load(f)
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+ collect_scene_ids(data, scene_ids)
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+
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+ output_path = qa_dir / OUTPUT_NAME
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+ with output_path.open("w", encoding="utf-8") as f:
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+ for scene_id in sorted(scene_ids):
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+ f.write(f"{scene_id}\n")
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+
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+ print(f"Processed {len(json_files)} JSON files.")
45
+ print(f"Found {len(scene_ids)} unique scene_id values.")
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+ print(f"Saved to: {output_path}")
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+
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+
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+ if __name__ == "__main__":
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+ main()
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+ id raw_category category count nyu40id eigen13id nyuClass nyu40class eigen13class ModelNet40 ModelNet10 ShapeNetCore55 synsetoffset wnsynsetid wnsynsetkey mpcat40 mpcat40index
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6
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9
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23
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29
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39
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49
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50
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59
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78
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79
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90
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92
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119
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120
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122
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126
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127
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128
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129
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130
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131
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132
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133
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+ 300 plunger plunger 30 40 7 otherprop Objects n03970156 plunger.n.03 objects 39
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147
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148
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149
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150
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153
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154
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155
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166
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171
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175
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176
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178
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185
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187
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188
+ 28 lamp base lamp 15 35 7 lamp lamp Objects lamp lamp 3636649 n03636649 lamp.n.02 lighting 28
189
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190
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191
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194
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195
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196
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197
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202
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207
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208
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209
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212
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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231
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232
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233
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234
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235
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236
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239
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240
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241
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242
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243
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244
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245
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246
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252
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253
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256
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257
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+ 245 cutting board cutting board 8 40 7 cutting board otherprop Objects n03025513 chopping_board.n.01 objects 39
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261
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262
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263
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264
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265
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267
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269
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271
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272
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273
+ 39 couch cushions cushion 7 18 7 pillow pillow Objects n03151500 cushion.n.03 cushion 8
274
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537
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558
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