pavelkrolevets/face_clustering
Sort similar looking faces to clusters
Uses pretrained FaceNet to generate 128-dimensional face embeddings, then computes a full N×N Euclidean distance matrix and applies KMeans clustering to group similar faces. The pipeline exports embeddings from images, calculates pairwise distances (stored as NumPy arrays), and clusters the resulting vectors with configurable cluster count. Designed for batch processing of image datasets in OpenFace directory format, leveraging TensorFlow and OpenCV.
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Language
Python
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Last pushed
Feb 06, 2019
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