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Update pretreatment_SUSTech1K.py

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Fix RGB_image transposed shape
This commit is contained in:
SHEN CHUANFU
2025-09-24 21:17:51 +08:00
committed by GitHub
parent c5e92d25d2
commit 74883d8373
1 changed files with 3 additions and 3 deletions
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datasets/SUSTech1K/pretreatment_SUSTech1K.py
+3 -3
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@@ -54,8 +54,8 @@ def imgs2pickle(img_groups: Tuple, output_path: Path, img_size: int = 64, verbos
HWs = [img.shape[:2] for img in imgs]
# transpose to (C, H W)
data = [cv2.resize(img, (img_size, img_size), interpolation=cv2.INTER_CUBIC) for img in imgs]
imgs = [img.transpose(2, 0, 1) for img in imgs]
data = np.asarray(data)
imgs = [img.transpose(2, 0, 1) for img in data]
data = np.asarray(imgs)
HWs = np.asarray(HWs)
elif modality == 'Sils_raw':
sils = [cv2.imread(sil, cv2.IMREAD_GRAYSCALE) for sil in data_files]
@@ -218,4 +218,4 @@ if __name__ == '__main__':
for k, v in args.__dict__.items():
logging.debug(f'{k}: {v}')
pretreat(input_path=Path(args.input_path), output_path=Path(args.output_path), img_size=args.img_size, workers=args.n_workers, verbose=args.verbose, dataset=args.dataset)
pretreat(input_path=Path(args.input_path), output_path=Path(args.output_path), img_size=args.img_size, workers=args.n_workers, verbose=args.verbose, dataset=args.dataset)