1、deepstream6.0 x86安裝
阿新 • • 發佈:2022-04-18
deepstream x86架構安裝
1、sudo apt install nvidia-driver-470
2、安裝cuda11.4 相對應的cudnn
安裝完記得新增環境變數
3、安裝依賴
sudo apt install \ libssl1.0.0 \ libgstreamer1.0-0 \ gstreamer1.0-tools \ gstreamer1.0-plugins-good \ gstreamer1.0-plugins-bad \ gstreamer1.0-plugins-ugly \ gstreamer1.0-libav \ libgstrtspserver-1.0-0 \ libjansson4 \ gcc \ make \ git \ python3
4、Install TensorRT 8.0.1
①執行如下命令
echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda-repo.list
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-key add 7fa2af80.pub
sudo apt-get update
②Download TensorRT 8.0.1 GA for Ubuntu 18.04 and CUDA 11.3 DEB local repo package
③安裝
sudo dpkg -i nv-tensorrt-repo-ubuntu1804-cuda11.3-trt8.0.1.6-ga-20210626_1-1_amd64.deb sudo apt-key add /var/nv-tensorrt-repo-ubuntu1804-cuda11.3-trt8.0.1.6-ga-20210626/7fa2af80.pub sudo apt-get update sudo apt-get install libnvinfer8=8.0.1-1+cuda11.3 libnvinfer-plugin8=8.0.1-1+cuda11.3 libnvparsers8=8.0.1-1+cuda11.3 libnvonnxparsers8=8.0.1-1+cuda11.3 libnvinfer-bin=8.0.1-1+cuda11.3 libnvinfer-dev=8.0.1-1+cuda11.3 libnvinfer-plugin-dev=8.0.1-1+cuda11.3 libnvparsers-dev=8.0.1-1+cuda11.3 libnvonnxparsers-dev=8.0.1-1+cuda11.3 libnvinfer-samples=8.0.1-1+cuda11.3 libnvinfer-doc=8.0.1-1+cuda11.3
5、安裝librdkafka
1.下載
$ git clone https://github.com/edenhill/librdkafka.git
2.配置
cd librdkafka
git reset --hard 7101c2310341ab3f4675fc565f64f0967e135a6a
./configure
make
sudo make install
3、
sudo mkdir -p /opt/nvidia/deepstream/deepstream-6.0/lib
sudo cp /usr/local/lib/librdkafka* /opt/nvidia/deepstream/deepstream-6.0/lib
6、安裝deepstream6.0
1、下載原始碼
https://developer.nvidia.com/deepstream_sdk_v6.0.1_x86_64tbz2
編譯:
sudo tar -xvf deepstream_sdk_v6.0.1_x86_64.tbz2 -C /
cd /opt/nvidia/deepstream/deepstream-6.0/
sudo ./install.sh
sudo ldconfig
7、安裝gstreamer
sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev libgstrtspserver-1.0-dev libx11-dev
8、python deepstream安裝
$ sudo apt-get install python-gi-dev
$ export GST_LIBS="-lgstreamer-1.0 -lgobject-2.0 -lglib-2.0"
$ export GST_CFLAGS="-pthread -I/usr/include/gstreamer-1.0 -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include"
$ git clone https://github.com/GStreamer/gst-python.git
$ cd gst-python
$ git checkout 1a8f48a
$ ./autogen.sh PYTHON=python3
$ ./configure PYTHON=python3
$ make
$ sudo make install
9、根據官方文件安裝完後缺乏一個pyds.so檔案
cd deepstream_python_apps/bindings
mkdir build
cd build
cmake .. -DPYTHON_MAJOR_VERSION=3 -DPYTHON_MINOR_VERSION=6 \
-DPIP_PLATFORM=linux_aarch64 -DDS_PATH=/opt/nvidia/deepstream/deepstream-6.0/
make
make完後會生成一個pyds.so然後拷貝到/opt/nvidia/deepstream/deepstream/lib目錄下
參考資料
https://blog.csdn.net/weixin_41562691/article/details/116793532
https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/blob/master/HOWTO.md
https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html