xdobro23/YOLOv8-16bit
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Unified model loading with backwards compatibility (#132)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-01-02 17:37:23 +01:00
committed by GitHub
parent 8996c5c6cf
commit c3d961fb03
10 changed files with 65 additions and 50 deletions
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2
ultralytics/yolo/v8/detect/train.py
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@ -54,7 +54,7 @@ class DetectionTrainer(BaseTrainer):
self.model.names = self.data["names"]
def load_model(self, model_cfg=None, weights=None, verbose=True):
model = DetectionModel(model_cfg or weights["model"].yaml, ch=3, nc=self.data["nc"], verbose=verbose)
model = DetectionModel(model_cfg or weights.yaml, ch=3, nc=self.data["nc"], verbose=verbose)
if weights:
model.load(weights, verbose)
return model

2
ultralytics/yolo/v8/segment/train.py
View File

@ -17,7 +17,7 @@ from ultralytics.yolo.utils.torch_utils import de_parallel
class SegmentationTrainer(v8.detect.DetectionTrainer):
def load_model(self, model_cfg=None, weights=None, verbose=True):
model = SegmentationModel(model_cfg or weights["model"].yaml, ch=3, nc=self.data["nc"], verbose=verbose)
model = SegmentationModel(model_cfg or weights.yaml, ch=3, nc=self.data["nc"], verbose=verbose)
if weights:
model.load(weights, verbose)
return model