ultralytics 8.0.79
expand Docs reference section (#2053)
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Fri3dChicken <87434761+AmoghDhaliwal@users.noreply.github.com>
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@ -101,18 +101,6 @@ class ClassificationTrainer(BaseTrainer):
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loss_items = loss.detach()
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return loss, loss_items
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# def label_loss_items(self, loss_items=None, prefix="train"):
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# """
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# Returns a loss dict with labelled training loss items tensor
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# """
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# # Not needed for classification but necessary for segmentation & detection
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# keys = [f"{prefix}/{x}" for x in self.loss_names]
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# if loss_items is not None:
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# loss_items = [round(float(x), 5) for x in loss_items] # convert tensors to 5 decimal place floats
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# return dict(zip(keys, loss_items))
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# else:
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# return keys
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def label_loss_items(self, loss_items=None, prefix='train'):
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"""
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Returns a loss dict with labelled training loss items tensor
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