ultralytics 8.0.239 Ultralytics Actions and hub-sdk adoption (#7431)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com> Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
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139 changed files with 6870 additions and 5125 deletions
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@ -25,12 +25,12 @@ class OBBTrainer(yolo.detect.DetectionTrainer):
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"""Initialize a OBBTrainer object with given arguments."""
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if overrides is None:
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overrides = {}
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overrides['task'] = 'obb'
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overrides["task"] = "obb"
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super().__init__(cfg, overrides, _callbacks)
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def get_model(self, cfg=None, weights=None, verbose=True):
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"""Return OBBModel initialized with specified config and weights."""
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model = OBBModel(cfg, ch=3, nc=self.data['nc'], verbose=verbose and RANK == -1)
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model = OBBModel(cfg, ch=3, nc=self.data["nc"], verbose=verbose and RANK == -1)
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if weights:
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model.load(weights)
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@ -38,5 +38,5 @@ class OBBTrainer(yolo.detect.DetectionTrainer):
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def get_validator(self):
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"""Return an instance of OBBValidator for validation of YOLO model."""
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self.loss_names = 'box_loss', 'cls_loss', 'dfl_loss'
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self.loss_names = "box_loss", "cls_loss", "dfl_loss"
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return yolo.obb.OBBValidator(self.test_loader, save_dir=self.save_dir, args=copy(self.args))
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