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Release 8.0.5 PR (#279)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Izam Mohammed <106471909+izam-mohammed@users.noreply.github.com>
Co-authored-by: Yue WANG 王跃 <92371174+yuewangg@users.noreply.github.com>
Co-authored-by: Thibaut Lucas <thibautlucas13@gmail.com>
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Laughing 2023-01-13 00:09:26 +08:00 • committed by GitHub
parent 9552827157
commit c42e44a021
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5
ultralytics/yolo/engine/model.py
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@ -111,7 +111,7 @@ class YOLO:
self.model.fuse()
@smart_inference_mode()
def predict(self, source, return_outputs=True, **kwargs):
def predict(self, source, return_outputs=False, **kwargs):
"""
Visualize prediction.
@ -191,6 +191,9 @@ class YOLO:
self.trainer.model = self.trainer.get_model(weights=self.model if self.ckpt else None, cfg=self.model.yaml)
self.model = self.trainer.model
self.trainer.train()
# update model and configs after training
self.model, _ = attempt_load_one_weight(str(self.trainer.best))
self.overrides = self.model.args
def to(self, device):
"""