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Right now DREEM training assumes that SLP files contain a single video.
Our data loader should do a lot of validation about the expected inputs.
In particular, it should:
Treat contiguously tracked frames within the same video as a clip, and not form a batch for training with large gaps in between consecutive frames (e.g., when you only have frames 1-100 and then 1000-1100)
Be aware that there may be multiple videos in the same SLP file, so we shouldn't form a batch across different videos.
The text was updated successfully, but these errors were encountered:
Right now DREEM training assumes that SLP files contain a single video.
Our data loader should do a lot of validation about the expected inputs.
In particular, it should:
The text was updated successfully, but these errors were encountered: