calls retinaface-pytorch “Choose it if you need a PyTorch RetinaFace codebase for training your own face detector rather than a ready C++ model.”
An open source library for face detection in images. The face detection speed can reach 1000FPS.
retinaface-pytorch is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named retinaface-pytorch among their alternatives. The relationship is not symmetric — how retinaface-pytorch rates them is a separate judgement, made when retinaface-pytorch is analysed in its own right.
calls retinaface-pytorch “Choose it if you need a PyTorch RetinaFace codebase for training your own face detector rather than a ready C++ model.”
An open source library for face detection in images. The face detection speed can reach 1000FPS.
calls retinaface-pytorch “Use when you want to train RetinaFace on custom data in PyTorch and do not need the seed's edge-optimized lightweight deployment.”
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)