AsuharietYgvar/AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
This project allows you to convert Apple's NeuralHash model into a standard ONNX format. This means you can take the specific image recognition logic used by Apple for content detection and use it independently. You provide the original Apple NeuralHash model files and image files, and it generates a unique 96-bit binary hash for each image. This is primarily useful for digital forensics experts, content moderation platform developers, or researchers studying perceptual hashing.
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Use this if you need to generate perceptual hashes for images using Apple's NeuralHash algorithm outside of Apple's ecosystem, for example, to test images against known hashes for content verification.
Not ideal if you are looking for a general-purpose image hashing library or a tool that doesn't require extracting proprietary model files from Apple devices or software.
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1,536
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127
Language
Python
License
Apache-2.0
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Last pushed
Aug 21, 2021
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