def checkImgIsSameByMD5Hash(img1,img2):
img_data1 = numpy.array(Image.open(img1))
img_data2 = numpy.array(Image.open(img2))
imgMD51 = hashlib.md5(img_data1).hexdigest()
imgMD52 = hashlib.md5(img_data2).hexdigest()
if imgMD51==imgMD52:
return True
else:
return False
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')
###第三种方法
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)
#方案三
import cv2
import numpy as np
image1 = cv2.imread('A.jpg')
image2 = cv2.imread('B.jpg')
difference = cv2.subtract(image1, image2)
result = not np.any(difference) #if difference is all zeros it will return False
if result is True:
print("两张图片一样")
else:
cv2.imwrite("result.jpg", difference)
print ("两张图片不一样")
0021-python比较两张图片是否一致
猜你喜欢
转载自blog.csdn.net/zhonglongshen/article/details/112806436
今日推荐
周排行