Created
June 25, 2018 15:08
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mis1yakudo
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import numpy as np | |
import cv2 | |
orig = cv2.imread('src.png').astype(np.float32) | |
width, height, _ = orig.shape | |
center_x, center_y = width/4, height/2 | |
blur, iterations = 0.008, 20 | |
map_x1 = np.fromfunction(lambda y, x: x, (width, height), dtype=np.float32) | |
map_y1 = np.fromfunction(lambda y, x: y, (width, height), dtype=np.float32) | |
map_x2 = np.fromfunction(lambda y, x: (x - center_x) * blur, (width, height), dtype=np.float32) | |
map_y2 = np.fromfunction(lambda y, x: (y - center_y) * blur, (width, height), dtype=np.float32) | |
dst = np.copy(orig) | |
for i in range(iterations): | |
enlarged = cv2.remap(dst, map_x1 + map_x2, map_y1 + map_y2, cv2.INTER_LINEAR) | |
shrinked = cv2.remap(dst, map_x1 - map_x2, map_y1 - map_y2, cv2.INTER_LINEAR) | |
dst = cv2.addWeighted(enlarged, 0.5, shrinked, 0.5, 0, dst) | |
cv2.imwrite('dst.png', dst) |
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