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Q1.In compute_loss( ) function, rpn_class_loss = utils.compute_rpn_class_loss(rpn_match, rpn_class_logits), but utils.compute_rpn_class_loss() doesn't exist.
Q2.In model.compute_rpn_class_loss(), you use the original cross-entropy instead. The only use of focal loss is in mask.forward(), but it seemed doesn't work.
Looking for your kind reply. Thanks in advance.
The text was updated successfully, but these errors were encountered:
Q1.In compute_loss( ) function, rpn_class_loss = utils.compute_rpn_class_loss(rpn_match, rpn_class_logits), but utils.compute_rpn_class_loss() doesn't exist.
Q2.In model.compute_rpn_class_loss(), you use the original cross-entropy instead. The only use of focal loss is in mask.forward(), but it seemed doesn't work.
Looking for your kind reply. Thanks in advance.
The text was updated successfully, but these errors were encountered: