您可以使用OpenCV做到这一点:
#!/usr/local/bin/python3
import numpy as np
import cv2
# Load base image and overlay
base = cv2.imread("image.jpg", cv2.IMREAD_UNCHANGED)
over = cv2.imread("overlay.jpg", cv2.IMREAD_UNCHANGED)
# Anywhere the red channel of overlay image exceeds 127, make base image red
# Remember OpenCV uses BGR ordering, not RGB
base[over[...,2]>127] = [0,0,255]
# Save result
cv2.imwrite('result.jpg',base)
如果要混合少量的红色(例如20%),同时保留基础图像的结构,则可以执行以下操作:
#!/usr/local/bin/python3
import numpy as np
import cv2
# Load base image and overlay
base = cv2.imread("image.jpg", cv2.IMREAD_UNCHANGED)
over = cv2.imread("overlay.jpg", cv2.IMREAD_UNCHANGED)
# Blend 80% of the base layer with 20% red
blended = cv2.addWeighted(base,0.8,(np.zeros_like(base)+[0,0,255]).astype(np.uint8),0.2,0)
# Anywhere the red channel of overlay image exceeds 127, use blended image, elsewhere use base
result = np.where((over[...,2]>127)[...,None], blended, base)
# Save result
cv2.imwrite('result.jpg',result)
顺便说一句,您实际上并不需要任何Python,只需在Terminal中使用ImageMagick进行如下操作:
magick image.jpg \( overlay.jpg -fuzz 30% -transparent blue \) -composite result.png
关键字:Python,图像处理,覆盖,蒙版。
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