python识别图片中是否包含水印(opencv)
摘要: 最近在写爬虫，但爬下来的很多图片被加了水印，而且水印的位置不是固定的。本来不是搞图形图像处理的我，只好google了一把，看到很多用opencv来解决类似问题。这里记录一下水印识别的代码.
最近在写爬虫，但爬下来的很多图片被加了水印，而且水印的位置不是固定的。本来不是搞图形图像处理的我，只好google了一把，看到很多用opencv来解决类似问题。这里记录一下水印识别的代码.
首先，必须安装如下依赖, 用了豆瓣的镜像，速度快些.
pip install matplotlib -i https://pypi.douban.com/simple pip install numpy pip install opencv-python -i https://pypi.douban.com/simple
识别水印的代码如下:
import cv2
import numpy as np
# Read the main image
img_rgb = cv2.imread('maven-spotbugs-static-code.png')
# Convert it to grayscale
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
# Read the template
template = cv2.imread('mark.jpg',0)
# Store width and heigth of template in w and h
w, h = template.shape[::-1]
# Perform match operations.
res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED)
# Specify a threshold
threshold = 0.8
# Store the coordinates of matched area in a numpy array
loc = np.where( res >= threshold)
x=loc[0]
y=loc[1]
# Draw a rectangle around the matched region.
if len(x) and len(y):
for pt in zip(*loc[::-1]):
cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2)
# Show the final image with the matched area.
#cv2.imshow('Detected',img_rgb)
cv2.imwrite("test_001.png", img_rgb)
print("I found the watermark")
else:
print('there is no watermark')
找到水印之后，还会把水印所在位置框选出来，而且还可以得到坐标，这为以后替换水印打下了基础.
