Fix CLI detect and segment resume (#134)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -17,9 +17,12 @@ from ultralytics.yolo.utils.torch_utils import de_parallel
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class SegmentationTrainer(v8.detect.DetectionTrainer):
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def load_model(self, model_cfg=None, weights=None, verbose=True):
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model = SegmentationModel(model_cfg or weights.yaml, ch=3, nc=self.data["nc"], verbose=verbose)
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model = SegmentationModel(model_cfg or getattr(weights, 'yaml', None) or weights['model'].yaml,
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ch=3,
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nc=self.data["nc"],
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verbose=verbose)
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if weights:
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model.load(weights, verbose)
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model.load(weights['model'] if isinstance(weights, dict) else weights, verbose)
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return model
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def get_validator(self):
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