biubug6/Pytorch_Retinaface

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2976 stars · 804 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of the RetinaFace single-stage face detection model, supporting mobilenet0.25 and resnet50 backbones with pretrained weights. It detects faces and five facial landmarks, achieving strong WIDER FACE and FDDB benchmark results with a compact 1.7M-parameter mobile model.

Use cases

• detect faces in images with pytorch
• find facial landmarks in photos
• run face detection on mobile or edge devices
• train a custom face detector on widerface
• convert face detection model to tensorrt for inference

When to choose

• you need accurate face detection with landmarks in Python
• you want a tiny model for edge or mobile deployment
• you want to train or fine-tune RetinaFace yourself

When to avoid

• you need a maintained library with regular updates and support
• you need general object detection beyond faces
• you prefer not to manage PyTorch and dataset setup yourself

Facets

library · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing deep-learning machine-learning python cross-platform face-detection retinaface pytorch facial-landmarks widerface mobilenet tensorrt edge-deployment gpu

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markdown · JSON · MCP: product_card(name="biubug6/Pytorch_Retinaface")