Compute NeuralHash for a given image.
Works with macOS 11.3 or later.
Behind the scene, the implementation invokes the API provided by the Vision framework to compute the NeuralHash for a given image.
The end result is a base64 encoded hash representing the given image.
Usage: nhcalc path_to_image
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First of all, thanks for sharing your findings of this private api!
I have created AppleNeuralHash2ONNX, which can convert Apple's model to ONNX, by doing reverse-engineering on this API. It can be used to calculate neural hash with onnxruntime, even on Linux.
One suggestion: The API returns 96-bit binary data encoded in base64. You can decode it to raw binary and encode again with hex. This will result in 24 hex characters instead of 32 produced here, making it easier to do bitwise comparisons.
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