data

Data

The main data can be downloaded from my Google Drive with the links below. The directory structure should be:

Tennis/
└── data/
    ├── annotations (9.5 MB)
    ├── features (13.2 GB)
    ├── flow (217 GB)
    ├── frames (217 GB)
    ├── splits (36.3 MB)
    └── videos (11.1 GB)

The frames and flow directories can be generated with the process.py script. Please first download the FlowNet model before running this script, putting in the ../models/vision/flownet directory.

• annotations stores .json files for each video generated by the annotator, as well as other annotation and commentary .txt files.
• features stores .npy feature files for frames for each video in subdirectories.
• flow stores .jpg image files for flow frames for each video in subdirectories.
• frames stores .jpg image files for RGB frames for each video in subdirectories.
• splits stores .txt files for each split (train, val, test).
• videos stores the original video files as .mp4 files.