Unified model loading with backwards compatibility (#132)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2023-01-02 17:37:23 +01:00
parent 8996c5c6cf
commit c3d961fb03
10 changed files with 65 additions and 50 deletions
--- a/ultralytics/yolo/v8/detect/train.py
+++ b/ultralytics/yolo/v8/detect/train.py
@ -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