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SMHasher3 is a test suite for evaluating non-cryptographic hash functions. It focuses on things like output distribution and collisions, with some perf tests. Based on the SMHasher fork maintained by Reini Urban (https://github.com/rurban/smhasher).
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A focused project on perceptual hashing techniques for multimedia content analysis. This includes creating unique hashes for images and audio, detecting duplicates, and enabling efficient content indexing and comparison. Practical examples cover real-world applications like image deduplication and audio recognition.
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