ronghuaiyang/arcface-pytorch

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1901 stars · 401 forks observed · 2026-08-28

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

A PyTorch implementation of ArcFace, a deep metric learning approach for face recognition that adds angular margin penalties to face embeddings. It includes model definitions, training and testing scripts, and a pretrained ResNet-18 model evaluated on the LFW dataset.

Use cases

• train a face recognition model with arcface loss
• generate face embeddings for identity verification
• evaluate face recognition accuracy on lfw
• implement metric learning with angular margin loss in pytorch
• build a face matching or verification system
• compare arcface with cosface loss implementations

When to choose

• you want a simple, readable PyTorch ArcFace implementation to train or fine-tune face recognition models
• you need a pretrained face embedding model for quick experiments on LFW
• you are learning how angular margin losses work in face recognition

When to avoid

• you need a production-grade, actively maintained face recognition toolkit with many models and pipelines
• you require a permissive license - the repository has no license file
• you need multi-GPU training, ONNX export, or deployment tooling out of the box

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision deep-learning machine-learning image-processing python cross-platform face-recognition arcface pytorch metric-learning face-embedding lfw

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ronghuaiyang/arcface-pytorch")