HongChuang/ultralytics-ascend
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Refactor Python code (#13448)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-06-09 02:32:17 +02:00 • committed by GitHub
parent 6a234f3639
commit 1b26838def
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22 changed files with 81 additions and 101 deletions
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9
ultralytics/engine/model.py
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@ -742,11 +742,10 @@ class Model(nn.Module):
if hasattr(self.model, "names"):
return check_class_names(self.model.names)
else:
if not self.predictor: # export formats will not have predictor defined until predict() is called
self.predictor = self._smart_load("predictor")(overrides=self.overrides, _callbacks=self.callbacks)
self.predictor.setup_model(model=self.model, verbose=False)
return self.predictor.model.names
if not self.predictor: # export formats will not have predictor defined until predict() is called
self.predictor = self._smart_load("predictor")(overrides=self.overrides, _callbacks=self.callbacks)
self.predictor.setup_model(model=self.model, verbose=False)
return self.predictor.model.names
@property
def device(self) -> torch.device: