【实例简介】
【实例截图】
![96e785ab09c830340372aed6c12bfc60.png](https://img01.haolizi.net/2019/06/02/96/e/7/96e785ab09c830340372aed6c12bfc60.png)
【核心代码】
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
from PIL import Image
import numpy as np
count = 85
def addWaterMark(pic, mark):
img = Image.open(pic).convert("RGB")
width, height = img.size
img = img.point(lambda i : (int(i >> 2))<< 2)
img = list(img.getdata())
mark = Image.open(mark).convert("RGB")
mark = mark.resize((width, height))
mark = mark.point(lambda i : round(i / count))
mark = list(mark.getdata())
output = [0 for i in range(len(img))]
for i in range(len(img)):
temp = []
for j in range(3):
temp.append(img[i][j] mark[i][j])
output[i] = tuple(temp)
im = Image.new("RGB", (width, height))
im.putdata(data = output)
im.save('output.png')
return
def testwatermark(pic, mark):
img = Image.open(pic).convert("RGB")
width, height = img.size
mark1 = Image.open(mark).convert("RGB")
w, h = mark1.size
mark1 = mark1.resize((width, height))
mark1 = mark1.point(lambda i : round(i / count) * count)
mark1 = mark1.resize((w, h))
mark2 = img.point(lambda i : (int(i & 3) * count))
mark2 = mark2.resize((w, h))
mark2.save('watermark2.png')
m1 = mark1.convert("L");
m2 = mark2.convert("L")
d1 = m1.getdata()
d2 = m2.getdata()
d1 = np.mat(d1) / 255.0
d2 = np.mat(d2) / 255.0
corr = np.corrcoef(d1, d2)
corr = np.mean(corr.flatten())
return corr
addWaterMark('carry.bmp', 'watermark1.png')
test = testwatermark('output.png', 'watermark1.png')
if test > 0.8:
print('水印验证成功!')
else:
print('水印验证失败!')