kuaikuaikim/dface

Health v2 · maintenance only

Adoption not part of the score

1339 stars · 348 forks observed · 2026-08-28

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

DFace is an open-source Python library implementing face detection and recognition with PyTorch, based on the MTCNN cascaded convolutional network architecture and FaceNet-style embeddings. It supports NVIDIA CUDA GPU acceleration for real-time performance and is released under the Apache-2.0 license.

Use cases

• detect faces in images with pytorch
• build a face recognition system in python
• mtcnn face detection implementation
• extract face embeddings for identification
• real-time face detection on gpu
• face detection and alignment from webcam

When to choose

• you need a pure PyTorch MTCNN face detection pipeline you can modify
• you want GPU-accelerated face detection and recognition in Python
• you want an Apache-2.0 licensed face recognition starting point

When to avoid

• you need production-grade anti-spoofing, tracking, and support - the commercial DFace SDK covers that instead
• you need actively maintained models or recent research architectures
• you work outside Python/PyTorch ecosystems

Facets

library · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python windows face-detection face-recognition mtcnn pytorch facenet cuda linux macos gpu

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markdown · JSON · MCP: product_card(name="kuaikuaikim/dface")