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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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10
ultralytics/models/nas/predict.py
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@ -24,11 +24,11 @@ class NASPredictor(BasePredictor):
classes=self.args.classes)
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
if not isinstance(orig_imgs, torch.Tensor):
orig_img = orig_imgs[i] if is_list else orig_imgs
if is_list:
pred[:, :4] = ops.scale_boxes(img.shape[2:], pred[:, :4], orig_img.shape)
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, boxes=pred))
img_path = self.batch[0][i]
results.append(Results(orig_img, path=img_path, names=self.model.names, boxes=pred))
return results