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    Upvotes7edited Jul 14, 2022 at 17:17

    Try using hashlib. Just open the file and perform a hash.

    import hashlib
    # Simple solution
    with open("image.extension", "rb") as f:
    hash = hashlib.sha256(f.read()).hexdigest()
    # General-purpose solution that can process large files
    def file_hash(file_path):
    # https://stackoverflow.com/questions/22058048/hashing-a-file-in-python

    sha256 = hashlib.sha256()

    with open(file_path, "rb") as f:
    while True:
    data = f.read(65536) # arbitrary number to reduce RAM usage
    if not data:
    break
    sha256.update(data)

    return sha256.hexdigest()
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  3. PyPI
    https://pypi.org/project/ImageHash

    ImageHash · PyPI

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  4. Github
    https://github.com/JohannesBuchner/imagehash

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  5. Stack Overflow
    https://stackoverflow.com/questions/64…

    hash - Python Image hashing - Stack Overflow

    WEBNov 24, 2020 · Code here. import os. from PIL import Image. import imagehash. def checkImage(): for filename in os.listdir('images//'): …

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      What is image hash in Python?An image hashing library written in Python. ImageHash supports: Image hashes tell whether two images look nearly identical. This is different from cryptographic hashing algorithms (like MD5, SHA-1) where tiny changes in the image give completely different hashes.

      ImageHash · PyPI

      pypi.org
      What is imagehash & how does it work?ImageHash supports: Image hashes tell whether two images look nearly identical. This is different from cryptographic hashing algorithms (like MD5, SHA-1) where tiny changes in the image give completely different hashes. In image fingerprinting, we actually want our similar inputs to have similar output hashes as well.

      ImageHash · PyPI

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      What is the difference between imagehash and image hash?That difference between the hash objects is the number of bits that are flipped. But imagehash will work even if the images are resized, compressed, different file formats or with adjusted contrast or colors. The hash (or fingerprint, really) is derived from a 8x8 monochrome thumbnail of the image.

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      How to compare similar images using imagehash library?You can use the imagehash library to compare similar images. cutoff = 5 # maximum bits that could be different between the hashes. print('images are similar') print('images are not similar') Since the images are not exactly the same, there will be some differences, so therefore we use a cutoff value with an acceptable maximum difference.

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      https://libraries.io/pypi/ImageHash

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