cmusatyalab/openface
Face recognition with deep neural networks.
Implements face embedding via triplet loss on deep convolutional networks to generate compact 128-D representations enabling efficient face comparison and clustering. Includes batch processing pipelines, real-time webcam classification, and evaluation scripts against standard LFW benchmarks, with training utilities for custom models built on Torch and integrated with dlib's landmark detection.
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Oct 04, 2024
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