metadata
license: apache-2.0
Dataset format:-
release_data/
├── match1/
│ ├── match1_3/
│ │ ├── match1_3.mp4 # Original clipped video
│ │ ├── match1_3_ball.csv # Ball tracking results
│ │ ├── match1_3_keypoints_2d.npy # 2D keypoints for detected humans
│ │ ├── match1_3_keypoints_3d.npy # 3D keypoints for detected humans
│ │ ├── match1_3_metadata.json # Metadata for detected humans
│ │ ├── match1_3_paddle.csv # Paddle detection results
│ │ ├── match1_3_table.npy # Detected table corners
│ │ ├── match1_3_recon.npy # Reconstructed scene information
│ ├── ...
└── ...
NOTE: match{match_id}_{rally_id}_recon.npy consists of a 3d numpy array of shape (no of frames, 91, 3) with each row containing scene information for a frame in that timestep. The columns are as follows:-
- metadata ((fps, no of frames, no of frames usable) in first row, (dist from player 1 hand, dist from player 2 hand, player 1 hand id) in second row, (player 2 hand id, 0, 0) in third row and (0,0,0) in all other rows), hit info ((is contact with player 1 racket?, is contact with player 2 racket?, is contact with table?)), next 44 columns contain 3d feature points of player 1, next 44 columns contain 3d feature points of player 2, next columns contain ball position in 3d