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Simplify postprocessing methods (#4497)

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Glenn Jocher 2023-08-22 19:01:33 +02:00 • committed by GitHub
parent 6da8f7f51e
commit b890e1c937
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8 changed files with 45 additions and 61 deletions
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9
ultralytics/models/yolo/classify/predict.py
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@ -39,10 +39,9 @@ class ClassificationPredictor(BasePredictor):
def postprocess(self, preds, img, orig_imgs):
"""Post-processes predictions to return Results objects."""
results = []
is_list = isinstance(orig_imgs, list) # input images are a list, not a torch.Tensor
for i, pred in enumerate(preds):
orig_img = orig_imgs[i] if isinstance(orig_imgs, list) else orig_imgs
path = self.batch[0]
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))
orig_img = orig_imgs[i] if is_list else orig_imgs
img_path = self.batch[0][i]
results.append(Results(orig_img, path=img_path, names=self.model.names, probs=pred))
return results