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standalone val (#56)

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Ayush Chaurasia 2022-11-30 15:04:44 +05:30 • committed by GitHub
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ultralytics/yolo/utils/modeling/tasks.py
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@ -172,7 +172,7 @@ class DetectionModel(BaseModel):
csd = weights['model'].float().state_dict() # checkpoint state_dict as FP32
csd = intersect_state_dicts(csd, self.state_dict()) # intersect
self.load_state_dict(csd, strict=False) # load
LOGGER.info(f'Transferred {len(csd)}/{len(self.model.state_dict())} items from {weights}')
LOGGER.info(f'Transferred {len(csd)}/{len(self.model.state_dict())} items from pretrained weights')
class SegmentationModel(DetectionModel):