Unified model loading with backwards compatibility (#132)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
parent
8996c5c6cf
commit
c3d961fb03
10 changed files with 65 additions and 50 deletions
|
|
@ -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
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue