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ultralytics 8.0.50 AMP check and YOLOv5u YAMLs (#1263)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Troy <wudashuo@vip.qq.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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Co-authored-by: Huijae Lee <46982469+ZeroAct@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-03-06 11:39:26 +01:00
committed by GitHub
parent 3861e6c82a
commit f0d8e4718b
29 changed files with 440 additions and 83 deletions
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9
ultralytics/yolo/v8/classify/predict.py
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@ -14,14 +14,13 @@ class ClassificationPredictor(BasePredictor):
return Annotator(img, example=str(self.model.names), pil=True)
def preprocess(self, img):
img = (img if isinstance(img, torch.Tensor) else torch.Tensor(img)).to(self.model.device)
img = img.half() if self.model.fp16 else img.float() # uint8 to fp16/32
return img
img = (img if isinstance(img, torch.Tensor) else torch.from_numpy(img)).to(self.model.device)
return img.half() if self.model.fp16 else img.float() # uint8 to fp16/32
def postprocess(self, preds, img, orig_img):
def postprocess(self, preds, img, orig_imgs):
results = []
for i, pred in enumerate(preds):
orig_img = orig_img[i] if isinstance(orig_img, list) else orig_img
orig_img = orig_imgs[i] if isinstance(orig_imgs, list) else orig_imgs
path, _, _, _, _ = self.batch
img_path = path[i] if isinstance(path, list) else path
results.append(Results(orig_img=orig_img, path=img_path, names=self.model.names, probs=pred))