StZaBL commited on
Commit
ef74e47
·
verified ·
1 Parent(s): 9dac784

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +89 -0
README.md ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ task_categories:
4
+ - robotics
5
+ - object-detection
6
+ language:
7
+ - en
8
+ tags:
9
+ - robotics
10
+ - grasping
11
+ - affordance
12
+ - hand-object-interaction
13
+ - contact-detection
14
+ - YCB
15
+ - DexYCB
16
+ - HO3D
17
+ - FoundationPose
18
+ - MANO
19
+ pretty_name: Affordance2Grasp Preprocessed Assets
20
+ size_categories:
21
+ - 1G<n<10G
22
+ ---
23
+
24
+ # Affordance2Grasp — Preprocessed Assets
25
+
26
+ Preprocessed object meshes and initialization files for the
27
+ [Affordance2Grasp](https://github.com/stzabl-png/UCB_Project) pipeline.
28
+
29
+ This repository contains assets you download **once** before running the pipeline.
30
+ The pipeline then generates per-dataset intermediate data (depth maps, MANO estimates,
31
+ poses, contact labels) from the raw videos, which are not included here due to size and
32
+ licensing constraints.
33
+
34
+ ---
35
+
36
+ ## Contents
37
+
38
+ | Folder | Size | Description |
39
+ |---|---|---|
40
+ | `obj_meshes/ycb/` | ~1 GB | YCB object meshes + `scale.json` (metric scale) for all objects used in DexYCB and HO3D v3 |
41
+ | `obj_recon_input/ycb/` | ~50 MB | FoundationPose initialization masks (reference images + bounding boxes) for each YCB object |
42
+ | `training_fp/dexycb/` | ~1 MB | Validated contact labels for DexYCB `ycb_dex_01` and `ycb_dex_02` (sanity-check reference) |
43
+
44
+ ---
45
+
46
+ ## Usage
47
+
48
+ ```bash
49
+ pip install huggingface_hub
50
+
51
+ python -c "
52
+ from huggingface_hub import snapshot_download
53
+ snapshot_download(
54
+ repo_id='StZaBL/Affordance2Grasp-ProcessedData',
55
+ repo_type='dataset',
56
+ local_dir='data_hub/ProcessedData',
57
+ )
58
+ "
59
+ ```
60
+
61
+ Then follow the pipeline in the
62
+ [main repository README](https://github.com/stzabl-png/UCB_Project).
63
+
64
+ ---
65
+
66
+ ## Supported Datasets
67
+
68
+ Both datasets use the same YCB objects — the meshes here cover all required objects.
69
+
70
+ | Dataset | Objects covered |
71
+ |---|---|
72
+ | **DexYCB** | 20 YCB objects (`ycb_dex_01` – `ycb_dex_20`) |
73
+ | **HO3D v3** | `003_cracker_box`, `004_sugar_box`, `006_mustard_bottle`, `010_potted_meat_can`, `011_banana`, `021_bleach_cleanser`, `035_power_drill`, `052_extra_large_clamp` |
74
+
75
+ ---
76
+
77
+ ## Raw Data
78
+
79
+ Raw videos must be downloaded separately from the official sources:
80
+
81
+ - **DexYCB**: https://dex-ycb.github.io
82
+ - **HO3D v3**: https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/hand-object-3d-pose-annotation
83
+
84
+ ---
85
+
86
+ ## Related
87
+
88
+ - **Code**: [stzabl-png/UCB_Project](https://github.com/stzabl-png/UCB_Project)
89
+ - **Pipeline**: Depth Pro → HaPTIC → FoundationPose → Contact Labels → Affordance Model → Robot Grasp