#face detection

TengineKit, developed by OPEN AI LAB, is a versatile AI algorithm SDK for efficient integration and low-latency operations across mobile devices. Key features include face detection, 2D and 3D landmarks, and real-time hand and body detection. Its user-friendly API and compact design make it suitable for mobile applications. Frequent updates enhance capabilities, including recent improvements for Linux and Android performance. TengineKit is an effective tool for developers needing real-time AI functionalities on mobile platforms.

RetinaFace is a Python-based deep learning face detector offering strong detection capabilities in crowded environments. It meshes with the ArcFace module from the insightface project for complete face recognition solutions. Re-implemented with TensorFlow for modern compatibility, RetinaFace simplifies installation via PyPI and supports detection, alignment, and recognition tasks, enhancing accuracy for developers and researchers.

This project uses the YOLOv5-Face architecture for real-time, high-accuracy face detection. The integration of models like BlazeFace and SCRFD enhances performance across different levels of difficulty. With TensorRT optimization, it significantly reduces inference time, making it ideal for multi-scale face detection. Compatibility with Android and OpenCV DNN extends its application range, supporting participation in global events like the ICCV2021 Masked Face Recognition Challenge.

This repository delivers a REST API designed for face detection and recognition powered by FastAPI and NVIDIA TensorRT. It supports fast deployment on NVIDIA GPU systems through Docker, optimizing inference speed and allowing model conversion to ONNX and TensorRT formats. Highlights include automatic model retrieval, compatibility with multiple detection models including SCRFD and RetinaFace, and recognition models like ArcFace and PyTorch. Supports batch inference for both detection and recognition, making it suitable for high-performance face analysis in various applications.