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ultralytics 8.3.47 fix softmax and Classify head commonality (#18085)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Laughing 2024-12-07 20:55:59 +08:00 • committed by GitHub
parent 95a9796fee
commit 3d52c4fa10
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6 changed files with 17 additions and 4 deletions
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3
ultralytics/models/yolo/classify/predict.py
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@ -53,7 +53,8 @@ class ClassificationPredictor(BasePredictor):
if not isinstance(orig_imgs, list): # input images are a torch.Tensor, not a list
orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)
preds = preds[0] if isinstance(preds, (list, tuple)) else preds
return [
Results(orig_img, path=img_path, names=self.model.names, probs=pred.softmax(0))
Results(orig_img, path=img_path, names=self.model.names, probs=pred)
for pred, orig_img, img_path in zip(preds, orig_imgs, self.batch[0])
]

4
ultralytics/models/yolo/classify/val.py
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@ -71,6 +71,10 @@ class ClassificationValidator(BaseValidator):
self.metrics.confusion_matrix = self.confusion_matrix
self.metrics.save_dir = self.save_dir
def postprocess(self, preds):
"""Preprocesses the classification predictions."""
return preds[0] if isinstance(preds, (list, tuple)) else preds
def get_stats(self):
"""Returns a dictionary of metrics obtained by processing targets and predictions."""
self.metrics.process(self.targets, self.pred)