NVIDIA Jetson Xavier搭建qt开发以及yolov5环境

QT开发及YOLOv5环境搭建

该环境部署教程针对ARM架构的英伟达Jetson开发板

1 换源

首先进行换源操作，开发系统是ubuntu18.04

步骤：

• 备份原来的sorce文件：sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak

• 修改sources.list文件：sudo vim /etc/apt/sources.list

• 删除sources.list中文件内容，并将下列内容添加进sources.list

  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic main restricted
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-updates main restricted
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic universe
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-updates universe
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic multiverse
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-updates multiverse
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-backports main restricted universe multiverse
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-security main restricted
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-security universe
  deb http://mirrors.ustc.edu.cn/ubuntu-ports/ bionic-security multiverse
  

• 更新源：sudo apt upgrade

2 opencv安装

opencv默认自带，不需要安装

sudo apt install libopencv-dev

opencv库安装在以下路径：

• 库路径/usr/lib/aarch64-linux-gnu

• 头文件路径/usr/include/opencv4

3 QT下载与安装

使用apt-get install之前更新下，输入命令sudo apt-get update

sudo apt-get install build-essential
sudo apt-get install qt4-dev-tools qt4-doc qt4-qtconfig qt4-demos qt4-designer qtcreator

4 python运行环境部署

4.1 Archiconda安装

• github.com/Archiconda/build-tools/releases可下载脚本文件自动安装，也可下载源码自行编译安装

• chomd 777 Archiconda3-0.2.3-Linux-aarch64.sh
  ./Archiconda3-0.2.3-Linux-aarch64.sh`
  

  一路默认操作就完事儿，所有选项都yes

4.2 Archiconda换源

vim ~/.condarc

channels:
  - https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
  - https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  - defaults
show_channel_urls: true

4.3 建立yolov5环境

• 打开github找到yolov5的运行环境github.com/ultralytics/yolov5/blob/master/requirements.txt

• 新建一个yolov5的环境，并且通过requirements安装yolov5所需要的包

  conda create -n yolov5 python=3.7
  conda activate yolov5
  pip install -r requirements.txt