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standalone cv2.imwrite: use uint8 / bilevel
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1 changed files with 4 additions and 2 deletions
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@ -255,9 +255,11 @@ class SbbBinarizer:
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img_fin = (res[:, :] == 0) * 255
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img_last = img_last + img_fin
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kernel = np.ones((5, 5), np.uint8)
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img_last[:, :][img_last[:, :] > 0] = 255
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img_last = (img_last[:, :] == 0) * 255
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if save:
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cv2.imwrite(save, img_last)
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cv2.imwrite(save, img_last.astype(np.uint8), [
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cv2.IMWRITE_PNG_BILEVEL, 1,
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cv2.IMWRITE_JPEG_QUALITY, 100
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])
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return img_last
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