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@hust-kevin
They are the indices of valid training examples in a batch.
cls_keep_inds: hard examples of positives and negatives
bbox_keep_inds: positives and part faces
Hello
when I read 'metric.py',I have a question
what do 'cls_keep_inds, bbox_keep_inds' mean ?
Looking forward to your reply
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