- Skeleton video: deeplabcut → .h5 → script → .mp4, in
/train_video
folder. - In
/train_data
folder, CSV files, three cols: start, end, duration. Hand labeled grooming moments. - Initialize/config model (critical, many magic numbers, all
about tensorflow & keras), then train model, save to a
.h5
- Output prediction CSV
- (optional) Our decision model: when to mark 1 or 0
- plot based on decision output or prediction CSV
fengxia41103 / mouse Goto Github PK
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