Bokep
- Viewed 14k times7edited Jul 14, 2022 at 17:17
Try using hashlib. Just open the file and perform a hash.
import hashlib# Simple solutionwith open("image.extension", "rb") as f:hash = hashlib.sha256(f.read()).hexdigest()# General-purpose solution that can process large filesdef file_hash(file_path):# https://stackoverflow.com/questions/22058048/hashing-a-file-in-pythonsha256 = hashlib.sha256()with open(file_path, "rb") as f:while True:data = f.read(65536) # arbitrary number to reduce RAM usageif not data:breaksha256.update(data)return sha256.hexdigest()Content Under CC-BY-SA license Explore further
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WEBMar 5, 2021 · To create the image hashes and assess the performance of the different hashing algorithms, we’ll open each of the images in the list and hash the image using the average hash, perceptual hash, difference …
WEBJan 8, 2013 · Provide algorithms to extract the hash of images and fast way to figure out most similar images in huge data set. Namespace for all functions is cv::img_hash. Supported Algorithms. Average hash (also …
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WEBJul 20, 2021 · Image Hashing. Image hashing is the process of giving a unique hash code to an image. As we can encode an image to a unique code, this code can be used to index the images. So we...
Simple and fast method to compare images for similarity
WEBNov 17, 2010 · pHash. imgSeek ( GitHub repo) (GPL) based on the paper Fast Multiresolution Image Querying. image-match. Very similar to what I was searching for. Similar to pHash, based on An image signature for …
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