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Editor to share with you Python to achieve the old photo repair color tips, I believe that most people do not know much, so share this article for your reference, I hope you will learn a lot after reading this article, let's go to know it!

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Baidu AI open platform "black-and-white image color", this is highly recommended, 20 lines of code can be done black-and-white photos to color!

The first step: search Baidu AI into the official website to find: open ability-"image technology."

Step 2: find the black-and-white image and color it.

Step 3: you need to register as a Baidu developer, create applications, get API Key and Secret Key, then get access_token, and input black-and-white images to get Base64 coding of color images. Then convert the Base64 encoding string into a picture!

Attached code: import base64import requests # client_id is the AK obtained on the official website Client_secret for the official website to obtain SKhost = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id= your AK&client_secret= your SK'response = requests.get (host) if response: print (response.json ()) # black-and-white image color request_url = "https://aip.baidubce.com/rest/2.0/image-process/v1/colourize"# binary open picture file f = open (' test.png') 'rb') img = base64.b64encode (f.read ()) params = {"image": img} access_token= response.json () [' access_token'] request_url = request_url + "? access_token=" + access_tokenheaders = {'content-type':' application/x-www-form-urlencoded'} response = requests.post (request_url, data=params) Headers=headers) if response: print (response.json ()) # base64 Encoding to Picture img = base64.b64decode (response.json () ['image']) file = open (' result.jpg', 'wb') file.write (img) file.close () effect is as follows

The first group of black-and-white old photos:

The second group of black and white old photos--

The third group of black and white old photos--

The above is all the contents of this article entitled "what are the tips for Python to repair and color old photos?" Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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