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本教程具体记录了在 ubuntu 上装置 deepstream5.1 的办法。
之前写的这篇《【教训分享】ubuntu 装置 deepstream6.0》可能对于零碎版本要求过高,故又写了一篇 5.1 版本的,可能更通用一些。
一些版本要求:
- Ubuntu 18.04
- GStreamer 1.14.1
- NVIDIA driver 460.32
- CUDA 11.1
- TensorRT 7.2.3
1、装置 Gstreamer
sudo 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 libssl1.0.0 libgstrtspserver-1.0-0 libjansson4
查看是否装置胜利:
dpkg -l | grep gstreamer
2、装置 TensorRT 7.2.3
下载源码包,下载传送:https://developer.nvidia.com/…
解压,将 TensorRT 库放到零碎环境,而后装置 TensorRT python 接口:
cd <tensorrt-path>/python
pip install tensorrt-7.2.3.4-cpxx-none-linux_x86_64.whl
cd ../uff
pip install uff-0.6.9-py2.py3-none-any.whl
3、装置 librdkafka
git clone https://github.com/edenhill/librdkafka.git
cd librdkafka/
git reset --hard 7101c2310341ab3f4675fc565f64f0967e135a6a
./configure
sudo make
sudo make install
# 生成的库在 /usr/local/lib/librdkafka*
4、装置 deepstream sdk
下载源码包,下载传送:https://developer.nvidia.com/…
tar -xpvf deepstream_sdk_v5.1.0_x86_64.tbz2
cp -r opt /
# 将后面的 librdkafka 拷到 deepstream 库
sudo cp -r /usr/local/lib/librdkafka* /opt/nvidia/deepstream/deepstream-5.1/lib/
cd /opt/nvidia/deepstream/deepstream
sudo ./install.sh
装置一下 python 接口:
sudo apt update
sudo apt install python3-gi python3-dev python3-gst-1.0 -y
cd /opt/nvidia/deepstream/deepstream/lib
python3 setup.py install
5、验证是否装置胜利
which deepstream-app
能定位到 deepstream-app 个别就胜利了,而后能够用 deepstram-app 执行一些 samples,根本命令如下:
deepstream-app -c <path_to_config_file>
验证一下 python 示例:
cd /opt/nvidia/deepstream/deepstream/sources
git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps
# 运行例子 1
cd /opt/nvidia/deepstream/deepstream/sources/deepstream_python_apps/apps/deepstream-test1
python3 deepstream_test_1.py /opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.h264
以上分享了在 ubuntu 上装置 deepstream5.1 的办法,心愿我的分享对你会有一点帮忙。
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《【教训分享】ubuntu 装置 deepstream5.1》
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