Use python to compare the differences between the two images,

Use python to compare the differences between the two images,

From PIL import Imagefrom PIL import ImageChops def compare_images (path_one, path_two, diff_save_location): "" compare images. If there are differences, different images are generated and displayed. @ parameter 1: path_one: path of the first Image @ parameter 2: path_two: Path of the second Image @ parameter 3: diff_save_location: Save path of different images "" 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: # exit print ("[+] We Are the same! ") Else: diff. save (diff_save_location) failed t ValueError as e: text = ("indicates that the image size and the width of the box are inconsistent. For details, refer to API Description: 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. use a 2-latitude box to avoid the above problem ") print (" [{0}] {1 }". format (e, text) if _ name _ = '_ main _': compare_images('1.png ', '2.png', 'We are not like .png ')

Execution result:

Method 2:

From PIL import Imageimport mathimport operatorfrom functools import performancedef 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" # specify the image path img2 = ". /2.png" result = image_contrast (img1, img2) print (result)

If the two images are completely equal, the returned results are of the floating point type "0.0". If they are different, the returned results are larger.

Similarly, with the above two images, the execution result is 38, which is relatively small:

In this way, you can call this method in an automated test case to assert the execution result.

Detailed documentation on the Pillow database:

Http://pillow.readthedocs.org/en/latest/index.html

Summary

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