mirror of
https://github.com/licsber/Colorful-Black.git
synced 2024-09-19 23:30:23 +08:00
59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
import os
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import cv2
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import numpy as np
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def memoize(func):
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cache = dict()
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def memoized_func(*args):
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if args in cache:
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return cache[args]
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result = func(*args)
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cache[args] = result
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return result
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return memoized_func
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@memoize
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def get_color_img(width, height):
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w = np.logspace(0, 255, height, base=1.01, dtype=np.uint8)
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w = np.reshape(w, (-1, 1))
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h = np.linspace(0, 255, width, dtype=np.uint8)
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h = np.reshape(h, (1, -1))
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shu = w * h
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shu = np.reshape(shu, (height, -1))
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shu = cv2.cvtColor(shu, cv2.COLOR_GRAY2BGR)
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shu = cv2.applyColorMap(shu, cv2.COLORMAP_HSV)
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w = np.linspace(0, 255, height, dtype=np.uint8)
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w = np.reshape(w, (-1, 1))
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h = np.logspace(0, 255, width, base=1.01, dtype=np.uint8)
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h = np.reshape(h, (1, -1))
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heng = w * h
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heng = np.reshape(heng, (height, -1))
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heng = cv2.cvtColor(heng, cv2.COLOR_GRAY2BGR)
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heng = cv2.applyColorMap(heng, cv2.COLORMAP_HSV)
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img = heng + shu
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img = cv2.medianBlur(img, 101)
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return img
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def mix_img(file_dir, filename, count):
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path = os.path.join(file_dir, filename)
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for i in range(1, count):
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img = cv2.imread(path + str(i) + '.jpg')
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color = get_color_img(img.shape[1], img.shape[0])
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mask = (img == (0, 0, 0))[:, :, 0]
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img[mask] = color[mask]
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mix = img
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cv2.imwrite(path + str(i) + '.jpg', mix)
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if __name__ == '__main__':
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img = get_color_img(100, 100)
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cv2.imwrite('tmp/1.jpg', img)
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