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安装Python

sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt instlal python-dev

管理多个版本Python

sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.8 2
sudo update-alternatives --config

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安装VirtualEnv

Install

$ pip3 install virtualenv
$ pip3 install virtualenvwrapper

$ mkdir $HOME/.virtualenvs

#.bashrc add

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安装CUDA和cuDNN

安装CUDA

link: https://developer.nvidia.com/cuda-toolkit-archive

$ sudo chmod +x cuda_{xx.x.xxx_xxx.xx}_linux.run
$ sudo sh cuda_10.2.89_440.33.01_linux.run

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安装DeepStream

---

安装依赖

$ sudo apt install libjson-glib-dev libjansson4 libvtk6-dev python-vtk6 openssl libssl-dev ffmpeg libx11-dev 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 gstreamer1.0-rtsp libgstreamer-plugins-base1.0-dev libgstreamer1.0-0 libgstreamer1.0-dev libgstrtspserver-1.0-0 libgstrtspserver-1.0-dev 

sudo apt-get install libv4l-dev
cd /usr/include/linux
sudo ln -s ../libv4l1-videodev.h videodev.h

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Docker容器ssh远程连接

1.Ubuntu 版本

安装ssh

apt update
apt install openssh-server
/etc/init.d/ssh start

修改ssh配置文件

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Ubuntu修改用户名和主机名

{user_name}@{host_name}

参考链接：https://blog.csdn.net/Dan1374219106/article/details/106631364

修改主机名host_name

#进入root
$ su root

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容器启动后增加 端口映射 和 挂载目录

增加 端口映射

停止docker服务(一定要，否则修改会自动还原)

sudo systemctl stop docker

修改/var/lib/docker/containers/[hash_of_the_container]/hostconfig.json和/var/lib/docker/containers/[hash_of_the_container]/config.v2.json

修改hostconfig.json

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PyPy安装及加速Python代码

首先安装PyPy环境

下载地址：https://downloads.python.org/pypy/

解压

创建使用pypy的virtualenv

mkvirtualenv -p {解压好的路径}/bin/pypy {virtualenv name}

OK!!

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xmake安装和使用教程

https://xmake.io/#/zh-cn/about/course

安装xmake

$ git clone --recursive https://github.com/xmake-io/xmake.git
$ cd ./xmake 
$ ./scripts/get.sh __local__ 
$ source ~/.xmake/profile
#如果觉得github的源太慢，可以通过gitee的镜像源拉取：

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opencv Mat to ncnn Mat

• cv::Mat CV_8UC3 -> ncnn::Mat 3 channel + swap RGB/BGR

// cv::Mat a(h, w, CV_8UC3);
ncnn::Mat in = ncnn::Mat::from_pixels(a.data, ncnn::Mat::PIXEL_BGR2RGB, a.cols, a.rows);

• cv::Mat CV_8UC3 -> ncnn::Mat 3 channel + keep RGB/BGR order