feat: Add perceptual hashing functionality #100
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…algorithms - Implemented PerceptualHasher class for generating perceptual hashes using various algorithms (pHash, AverageHash, DHash, WaveletHash, PDQ). - Added methods for computing hashes for individual files and directories, as well as batch processing. - Created main plugin file with endpoints for creating, finding, exporting, importing, listing, and deleting hash collections. - Integrated CLI parsing for user-friendly command line interactions. - Established a pyproject.toml for dependency management and project metadata.
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A forensic investigation plugin for detecting duplicate and near-duplicate images using perceptual hashing algorithms. This plugin enables large-scale image similarity detection using PostgreSQL with the pgvector extension for efficient vector-based similarity search.
Related Issues: Closes #93