| # Human whole body or hand movements | |
| This dataset comprises SMPL-H body motion sequences reconstructed from third-person videos, as well as MANO hand motion sequences derived from ego-centric videos. | |
| ## Data-format | |
| - whole_body: | |
| - "seq_name"/"file_name".npz | |
| - pose_body: (T, 63) | |
| - betas: (B) | |
| - root_orient: (T, 3) | |
| - trans: (T, 3) | |
| - "other parameters" | |
| - ego_hand: | |
| - Sample ego-centric hand motion clips. | |
| - Each sample has one `.hdf5` annotation file and one same-name `.mp4` source video. | |
| - The `.hdf5` file contains camera intrinsics, camera transforms, hand/body transforms, and hand confidence values. | |
| - Example pair: | |
| - `ego_hand/95125_30577_34946.hdf5` | |
| - `ego_hand/95125_30577_34946.mp4` | |
| ## Usage | |
| - whole_body | |
| - usage pip to install smplx, and use smplx.SMPLH to convert parameters into human mesh/joints | |
| - The converted human body mesh uses the negative Y-axis as the gravity axis. | |
| - ego_hand | |
| - Keep the same-name `.hdf5` and `.mp4` files in one directory. | |
| - They can be visualized with the EgoDex 2D visualization script. | |