41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
import numpy as np
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from PIL import Image
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import sys
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def preprocess(mask_values, pil_img, scale, is_mask):
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w, h = pil_img.size
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newW, newH = int(scale * w), int(scale * h)
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assert newW > 0 and newH > 0, 'Scale is too small, resized images would have no pixel'
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pil_img = pil_img.resize((newW, newH), resample=Image.NEAREST if is_mask else Image.BICUBIC)
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img = np.asarray(pil_img)
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if is_mask:
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mask = np.zeros((newH, newW), dtype=np.int64)
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for i, v in enumerate(mask_values):
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if img.ndim == 2:
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mask[img == v] = i
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else:
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mask[(img == v).all(-1)] = i
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return mask
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else:
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if img.ndim == 2:
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img = img[np.newaxis, ...]
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else:
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img = img.transpose((2, 0, 1))
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if (img > 1).any():
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img = img / 255.0
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return img
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if __name__=='__main__':
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img = Image.open(sys.argv[1])
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img = preprocess(None, img, 0.5, False)
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img = img.astype(np.float32)
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print(img.shape)
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with open(sys.argv[2],'wb') as f:
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f.write(img.tobytes())
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