算法部署-使用deepstream部署人脸识别应用-附项目源码-优质项目实战.zip

# Face Recognition DeepStream This is a face recognition app built on DeepStream reference app. [RetinaFace](https://github.com/biubug6/Face-Detector-1MB-with-landmark) and [ArcFace](https://github.com/ZhaoJ9014/face.evoLVe.PyTorch) is used for detection and recognition respectively. ## Prerequisites You must have the following development packages installed - GStreamer-1.0 - GStreamer-1.0 Base Plugins - GStreamer-1.0 gstrtspserver - X11 client-side library - Glib json library - json-glib-1.0 You can install those packages via **apt**: ```bash sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev libgstrtspserver-1.0-dev libx11-dev libjson-glib-dev ``` ## Requirements - DeepStream 5.0 - CUDA 10.2 ## Installation ```bash mkdir build && cd build && ln -s ../Makefile make -j$(nproc) ``` ## Pretrained Please refer to [this repo](https://github.com/nghiapq77/face-recognition-cpp-tensorrt) for pretrained models and serialized TensorRT engine. ## Usage ```bash ./deepstream-app -c <config-file> ``` ## Develop See [DEVELOP.md](DEVELOP.md) for my modified code to original app.