XiaoHongbo-Hope opened a new pull request, #9757: URL: https://github.com/apache/paimon/pull/9757
### Purpose Support map-style training from video-backed LeRobot v3 table groups imported by `load_from_lerobot()`. This is the read-side follow-up to #9494 and #9498. ### Changes - decode `.video` frame descriptors inside `PaimonLeRobotDataset` - reuse the existing per-worker bounded video decoder cache - prefer TorchCodec and fall back to PyAV; `video_backend` can select either - apply existing episode selection, delta windows, padding, transforms, and `return_uint8` behavior to video features - keep encoded video payloads lazy during planning and indexed row lookup TorchCodec is the preferred random-access path. The PyAV fallback scans forward and rewinds for backward frame access. ### Tests - 78 LeRobot and video tests passed - real MP4 import and descriptor-backed map-style reads - delta windows, Episode padding, decoder reuse, and spawn DataLoader workers - flake8, Python 3.6/3.11 compile, and `git diff --check` passed -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
