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from PIL import Image
from PIL import ImageChops
def compare_images(path_one, path_two, diff_save_location):
"""
比较图片,如果有不同则生成展示不同的图片
@参数一: path_one: 第一张图片的路径
@参数二: path_two: 第二张图片的路径
@参数三: diff_save_location: 不同图的保存路径
"""
image_one = Image. open (path_one)
image_two = Image. open (path_two)
try :
diff = ImageChops.difference(image_one, image_two)
if diff.getbbox() is None :
# 图片间没有任何不同则直接退出
print ( "【+】We are the same!" )
else :
diff.save(diff_save_location)
except ValueError as e:
text = ( "表示图片大小和box对应的宽度不一致,参考API说明:Pastes another image into this image."
"The box argument is either a 2-tuple giving the upper left corner, a 4-tuple defining the left, upper, "
"right, and lower pixel coordinate, or None (same as (0, 0)). If a 4-tuple is given, the size of the pasted "
"image must match the size of the region.使用2纬的box避免上述问题" )
print ( "【{0}】{1}" . format (e,text))
if __name__ = = '__main__' :
compare_images( '1.png' ,
'2.png' ,
'我们不一样.png' )
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执行结果:
第二种方法:
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from PIL import Image
import math
import operator
from functools import reduce
def image_contrast(img1, img2):
image1 = Image. open (img1)
image2 = Image. open (img2)
h1 = image1.histogram()
h2 = image2.histogram()
result = math.sqrt( reduce (operator.add, list ( map ( lambda a,b: (a - b) * * 2 , h1, h2))) / len (h1) )
return result
if __name__ = = '__main__' :
img1 = "./1.png" # 指定图片路径
img2 = "./2.png"
result = image_contrast(img1,img2)
print (result)
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如果两张图片完全相等,则返回结果为浮点类型“0.0”,如果不相同则返回结果值越大。
同样用上面两张图片,执行结果为38,还是比较小的:
这样就可以在自动化测试用例中调用该方法来断言执行结果。
关于Pillow库的详细文档:
http://pillow.readthedocs.org/en/latest/index.html
总结
以上所述是小编给大家介绍的用python实现对比两张图片的不同,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对服务器之家网站的支持!
原文链接:https://www.cnblogs.com/botoo/archive/2018/02/05/8416315.html