Fix resume (#138)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@ -1,3 +1,5 @@
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from copy import copy
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import hydra
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import torch
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import torch.nn as nn
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@ -27,7 +29,7 @@ class SegmentationTrainer(v8.detect.DetectionTrainer):
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return v8.segment.SegmentationValidator(self.test_loader,
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save_dir=self.save_dir,
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logger=self.console,
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args=self.args)
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args=copy(self.args))
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def criterion(self, preds, batch):
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if not hasattr(self, 'compute_loss'):
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@ -37,10 +37,9 @@ class SegmentationValidator(DetectionValidator):
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def init_metrics(self, model):
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head = model.model[-1] if self.training else model.model.model[-1]
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if self.data:
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self.is_coco = self.data.get('val', '').endswith(f'coco{os.sep}val2017.txt') # is COCO dataset
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self.class_map = ops.coco80_to_coco91_class() if self.is_coco else list(range(1000))
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self.args.save_json |= self.is_coco and not self.training # run on final val if training COCO
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self.is_coco = self.data.get('val', '').endswith(f'coco{os.sep}val2017.txt') # is COCO dataset
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self.class_map = ops.coco80_to_coco91_class() if self.is_coco else list(range(1000))
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self.args.save_json |= self.is_coco and not self.training # run on final val if training COCO
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self.nc = head.nc
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self.nm = head.nm if hasattr(head, "nm") else 32
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self.names = model.names
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