Facial re-identification ensures consistent recognition of individuals across varied scenarios, enhancing security and personalized services. It's pivotal for public safety and user-specific applications.
Key Features
— YOLOV8-Face facial detection model with landmarks — NumPy/Numba output postprocessing (box and landmarks) — Facial tracking (with Nvidia Tracker) — Landmark-based facial alignment with OpenCV-CUDA — ReID generation with AdaFace — Facial index implemented with HNSWLIB