ubuntu 20.04 A10配置deepstream6.1.1环境（dGPU）

1.remove old deepstream

$ sudo rm -rf /usr/local/deepstream /usr/lib/x86_64-linux-gnu/gstreamer-1.0/libgstnv* /usr/bin/deepstream* /usr/lib/x86_64-linux-gnu/gstreamer-1.0/libnvdsgst*
/usr/lib/x86_64-linux-gnu/gstreamer-1.0/deepstream*
/opt/nvidia/deepstream/deepstream*
$ sudo rm -rf /usr/lib/x86_64-linux-gnu/libv41/plugins/libcuvidv4l2_plugin.so

2.install dependencies

$ sudo apt install \
libssl1.1 \
libgstreamer1.0-0 \
gstreamer1.0-tools \
gstreamer1.0-plugins-good \
gstreamer1.0-plugins-bad \
gstreamer1.0-plugins-ugly \
gstreamer1.0-libav \
libgstreamer-plugins-base1.0-dev \
libgstrtspserver-1.0-0 \
libjansson4 \
libyaml-cpp-dev \
gcc \
make \
git \
python3

3.Install CUDA Toolkit 11.7.1 (CUDA 11.7 Update 1) and NVIDIA driver 515.65.01

install driver
sudo ./NVIDIA-Linux-x86_64-515.65.01.run

install cuda
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.7.1/local_installers/cuda-repo-ubuntu2004-11-7-local_11.7.1-515.65.01-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-7-local_11.7.1-515.65.01-1_amd64.deb
sudo cp /var/cuda-repo-ubuntu2004-11-7-local/cuda-*-keyring.gpg /usr/share/keyrings/
sudo apt-get update
sudo apt-get -y install cuda

如果安装cuda错误，重新安装驱动，再次安装cuda即可。

4.install cudnn

wget https://developer.nvidia.com/compute/cudnn/secure/8.4.1/local_installers/11.6/cudnn-local-repo-ubuntu2004-8.4.1.50_1.0-1_amd64.deb
sudo dpkg -i cudnn-local-repo-ubuntu2004-8.4.1.50_1.0-1_amd64.deb
sudo cp /var/cudnn-local-repo-ubuntu2004-8.4.1.50/cudnn-local-E3EC4A60-keyring.gpg /usr/share/keyrings/
sudo apt-get update
sudo apt install libcudnn8=8.4.1.50-1+cuda11.6 libcudnn8-dev=8.4.1.50-1+cuda11.6

5. Install TensorRT 8.4.1.5

wget https://developer.download.nvidia.cn/compute/machine-learning/tensorrt/secure/8.4.1/local_repos/nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.1.5-ga-20220604_1-1_amd64.deb?qEMj7j8bsN2dxWF5GC53FHGJ52vqYMOXbm4N4UcGVRaUC2h5pw6zIV4NxG4QhjngyfzMz_12lmlw-9J47cCrm2lSsRm6Y7H_nzMspcLv-N76K9viO_1lxA3YgA3YlUL6pCuocv7Qv6NRbF59-lLVANPz08VcMp1AoHq3cniPPkb-s3vxlyEQ_IJIb4z0rExAGmXqOLpiV-Rxwzijh1CohG6X5aHFjARUphddlvnoWMTL8ozeZaFYgGi3_fAmWAiPqPFt&t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczpcL1wvd3d3Lmdvb2dsZS5jb21cLyJ9

sudo dpkg -i nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.1.5-ga-20220604_1-1_amd64.deb

sudo apt-key add /var/nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.1.5-ga-20220604/9a60d8bf.pub
 

sudo apt update

 sudo apt-get install libnvinfer8=8.4.1-1+cuda11.6 libnvinfer-plugin8=8.4.1-1+cuda11.6 libnvparsers8=8.4.1-1+cuda11.6 \
  libnvonnxparsers8=8.4.1-1+cuda11.6 libnvinfer-bin=8.4.1-1+cuda11.6 libnvinfer-dev=8.4.1-1+cuda11.6 \
  libnvinfer-plugin-dev=8.4.1-1+cuda11.6 libnvparsers-dev=8.4.1-1+cuda11.6 libnvonnxparsers-dev=8.4.1-1+cuda11.6 \
  libnvinfer-samples=8.4.1-1+cuda11.6 libcudnn8=8.4.1.50-1+cuda11.6 libcudnn8-dev=8.4.1.50-1+cuda11.6 \
  python3-libnvinfer=8.4.1-1+cuda11.6 python3-libnvinfer-dev=8.4.1-1+cuda11.6

6. Install librdkafka

 sudo apt install python
 git clone https://github.com/edenhill/librdkafka.git
 cd librdkafka
 git reset --hard 7101c2310341ab3f4675fc565f64f0967e135a6a
./configure
 make
 sudo make install
 sudo mkdir -p /opt/nvidia/deepstream/deepstream-6.1/lib
 sudo cp /usr/local/lib/librdkafka* /opt/nvidia/deepstream/deepstream-6.1/lib

7.Install the DeepStream6.1.1

$wget https://developer.nvidia.com/deepstream-6.1_6.1.1-1_amd64.deb

$ sudo apt-get install ./deepstream-6.1_6.1.1-1_amd64.deb

8.install torch环境

$wget https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp38-cp38-linux_x86_64.whl

$wget https://download.pytorch.org/whl/cu102/torchvision-0.13.1%2Bcu102-cp38-cp38-linux_x86_64.whl$sudo apt install ./torch-1.12.1+cu116-cp38-cp38-linux_x86_64.whl

$sudo apt install ./torchvision-0.13.1+cu102-cp38-cp38-linux_x86_64.whl

9.finish