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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | Stream Vera Sans Mono', 'Courier New', Courier, monospace !important; FLOAT: none !important; BORDER-TOP-WIDTH: 0px !important; BORDER-BOTTOM-WIDTH: 0px !important; HEIGHT: auto !important; COLOR: rgb(0,102,153) !important; CLEAR: both; VERTICAL-ALIGN: baseline !important; OVERFLOW: visible !important; TOP: auto !important; RIGHT: auto !important; FONT-WEIGHT: bold !important; PADDING-TOP: 0px; LEFT: auto !important; border-radius: 0px; background-size: initial; background-origin: initial; background-clip: initial" class="py keyword">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' ) |
执行结果:
第二种方法:
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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) |
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。