RetinaFace: Deep Face Detection Library for Python
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
Face Tracker using RetinaFace Detector and Kalman Filter
RetinaNet face detection model inference on edge/mobile device utilizing MNN framework.
👁️ | PyTorch Implementation of "RetinaFace: Single-stage Dense Face Localisation in the Wild" | 88.90% on WiderFace Hard >> ONNX
Using DeepFace & InsightFace to verify the identity of a person by analyzing key facial features and patterns
Face Mask Detection API powered by FastAPI, RetinaFace Detector and Res10.
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