HongChuang/ultralytics-ascend
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Replace enumerate + index with zip() (#14574)

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Kayzwer 2024-07-22 00:01:17 +08:00 • committed by GitHub
parent 68f1f326f5
commit e59376b55f
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4 changed files with 7 additions and 15 deletions
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ultralytics/models/sam/predict.py
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@ -372,8 +372,7 @@ class Predictor(BasePredictor):
orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)
results = []
for i, masks in enumerate([pred_masks]):
orig_img = orig_imgs[i]
for masks, orig_img, img_path in zip([pred_masks], orig_imgs, self.batch[0]):
if pred_bboxes is not None:
pred_bboxes = ops.scale_boxes(img.shape[2:], pred_bboxes.float(), orig_img.shape, padding=False)
cls = torch.arange(len(pred_masks), dtype=torch.int32, device=pred_masks.device)
@ -381,7 +380,6 @@ class Predictor(BasePredictor):
masks = ops.scale_masks(masks[None].float(), orig_img.shape[:2], padding=False)[0]
masks = masks > self.model.mask_threshold # to bool
img_path = self.batch[0][i]
results.append(Results(orig_img, path=img_path, names=names, masks=masks, boxes=pred_bboxes))
# Reset segment-all mode.
self.segment_all = False