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:
from PIL import Image
import math
import operator
from functools import reducedef 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 resultif __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。
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
来源:https://www.cnblogs.com/botoo/p/8416315.html