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Datasets:
AplusX
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EgoPoseVR

Tasks:
Other
Size:
10K<n<100K
ArXiv:
Tags:
egocentric
pose-estimation
RGBD
SMPL
motion-capture
VR
License:
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  1. README.md +0 -68
  2. Scene0/AllDataPath_BioMotionLab_NTroje_train_1005/1.npz +0 -3
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README.md DELETED
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- ---
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- license: cc-by-4.0
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- task_categories:
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- - other
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- tags:
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- - egocentric
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- - pose-estimation
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- - RGBD
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- - SMPL
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- - motion-capture
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- size_categories:
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- - 10K<n<100K
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- ---
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-
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- # EgoPoseVR Dataset
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-
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- ## Overview
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-
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- This dataset contains egocentric RGBD sequences for 3D human pose estimation from a first-person VR perspective.
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-
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- - **Total samples**: 18,235 motion clips
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- - **Scenes**: 7 virtual scenes (Scene0 - Scene6)
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- - **Train / Val / Test**: 14,702 / 1,827 / 1,706
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- - **Total size**: ~362 GB
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- - **Data format**: `.npz` (NumPy compressed archives)
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-
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- ## Data Sources
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- - CMU Graphics Lab Motion Capture Database
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- - BioMotionLab (NTroje) Dataset
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-
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- ## Directory Structure
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-
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- ```
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- EgoPoseVR_Dataset/
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- ├── Scene{0-6}/ # 7 virtual scenes
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- │ └── AllDataPath_{Source}_{split}_{id}/ # motion sequence directory
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- │ └── {clip_id}.npz # motion clip file
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- ├── train_npz_paths.txt
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- ├── val_npz_paths.txt
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- ├── test_npz_paths.txt
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- └── all_npz_paths.txt
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- ```
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-
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- ## NPZ Fields
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-
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- Each `.npz` file represents a motion clip with T consecutive frames (typically T=100).
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-
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- | Field | Shape | Description |
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- |---|---|---|
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- | `input_rgbd` | (T, 4, H, W) | Input RGBD image sequence (channels 0-2: RGB normalized to [0,1]; channel 3: depth) |
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- | `gt_joints_relativeCam_2Dpos` | (T, 22, 2) | GT joint 2D positions projected to camera image plane |
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- | `gt_joints_relativePelvis_3Dpos` | (T, 22, 3) | GT joint 3D positions relative to pelvis (pelvis at origin) |
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- | `gt_pelvis_camera_3Dpos` | (T, 3) | GT pelvis 3D position in camera coordinate system |
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- | `gt_pelvis_camera_4Drot` | (T, 4) | GT pelvis rotation in camera space (quaternion) |
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- | `hmd_position_global_full_gt_list` | (T, 54) | HMD global position/orientation data (head + hands) |
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- | `head_global_trans_list` | (T, 4, 4) | Head global 4x4 transformation matrices per frame |
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- | `body_parms_list` | dict | SMPL body parameters (root_orient, pose_body, trans) |
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- | `pred_2d` | (T, 22, 2) | Predicted 2D joint positions from pretrained estimator |
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- | `pred_3d` | (T, 22, 3) | Predicted 3D joint positions from pretrained estimator |
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-
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- ## Joint Definition (22 SMPL joints)
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-
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- ```
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- 0:Pelvis 1:L_Hip 2:R_Hip 3:Spine1 4:L_Knee 5:R_Knee
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- 6:Spine2 7:L_Ankle 8:R_Ankle 9:Spine3 10:L_Foot 11:R_Foot
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- 12:Neck 13:L_Collar 14:R_Collar 15:Head 16:L_Shoulder 17:R_Shoulder
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- 18:L_Elbow 19:R_Elbow 20:L_Wrist 21:R_Wrist
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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