Fix yolo mode=train
CLI bug on model load (#133)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@ -54,9 +54,12 @@ class DetectionTrainer(BaseTrainer):
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self.model.names = self.data["names"]
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def load_model(self, model_cfg=None, weights=None, verbose=True):
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model = DetectionModel(model_cfg or weights.yaml, ch=3, nc=self.data["nc"], verbose=verbose)
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model = DetectionModel(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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