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npdraft.py
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npdraft.py
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import numpy as np, Image
from matplotlib.colors import hsv_to_rgb, rgb_to_hsv
import matplotlib.pyplot as plt
import matplotlib.cm as cm
# input image
img = Image.open('orig/kueche.jpg')
img.thumbnail((256,256))
ary = np.asarray(img)/255.0
# match colors
match = np.array([[1.0,0,0],
[0,1.0,0],
[0,0,1.0]])
#match = np.array([[0,0,1.0]])
# max brightness
hsv = rgb_to_hsv(ary)
hsv[:,:,2] = 1.0
flat = hsv_to_rgb(hsv)
# main loop
res = np.zeros_like(flat)
res_map = np.zeros_like(flat)
#res = np.copy(ary)
for col in match:
print col
# calc distance
diff = 1 - np.absolute(flat - col)
k = np.array(np.ones((3,3))) / 3.0
diff = np.inner(diff, k)
diff = np.square(diff)
ths = 0.4
map = diff - ths
map = np.sign(map) / 2 + 0.5
map = map * diff
plt.imshow(map[:,:,0], cmap=cm.jet)
plt.show()
res_map += map
res += map * col
# output image
res_map = np.clip(res_map, 0,1)
out = ary * (1-res_map) + res
out = np.clip(out, 0,1)
out *= 255
nimg = Image.fromarray(out.astype(np.uint8))
nimg.show()