DeepStream主页：https://developer.nvidia.com/deepstream-sdk
DeepStream Development Guide：https://docs.nvidia.com/metropolis/deepstream/4.0/dev-guide/
DeepStream SDK API：https://docs.nvidia.com/metropolis/deepstream/4.0/dev-guide/DeepStream_Development_Guide/baggage/index.html
环境搭建：
1）要求
2）执行nvidia-smi查询Nvidia驱动版本
Driver Version: 418.87.00
执行cat /usr/local/cuda/version.txt查询CUDA版本
CUDA Version 10.1.243
执行cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2查询cudnn版本
7.6.3
执行cat /proc/version查询ubuntu系统版本
18.04.1
Gstreamer安装：
apt-get install libgstreamer1.0-0 gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav gstreamer1.0-doc gstreamer1.0-tools gstreamer1.0-x gstreamer1.0-alsa gstreamer1.0-gl gstreamer1.0-gtk3 gstreamer1.0-qt5 gstreamer1.0-pulseaudio
验证Gstreamer：dpkg -l | grep gstreamer
TensorRT安装：参考https://docs.nvidia.com/deeplearning/sdk/tensorrt-install-guide/index.html#installing-tar
下载：https://developer.nvidia.com/nvidia-tensorrt-5x-download，需要先登录NVIDIA账号
tar xzvf TensorRT-5.1.5.0.Ubuntu-18.04.2.x86_64-gnu.cuda-10.1.cudnn7.5.tar.gz
sudo vim ~/.bashrc,添加：
source ~/.bashrc
cd TensorRT-5.1.5.0/python/
sudo -H pip3 install tensorrt-5.1.5.0-cp36-none-linux_x86_64.whl
cd ../uff (计划将TensorRT与TensorFlow一起使用时，安装uff才是必要的)
sudo -H pip3 install uff-0.6.3-py2.py3-none-any.whl
which convert-to-uff
cd ../graphsurgeon
sudo -H pip3 install graphsurgeon-0.4.1-py2.py3-none-any.whl
验证TensorRT
cd TensorRT-5.1.5.0/samples/sampleMNIST/
make
cd ../../bin
./sample_mnist，如下所示，则安装成功
来源：博客园
作者：walker_lin
链接：https://www.cnblogs.com/walker-lin/p/11528243.html