NX Ubuntu environment configuration for RM vision development

Table of contents

Install cmake and other dependent libraries

Change source for ubuntu18.04

sudo gedit /etc/apt/sources.list

(The following is the relevant source ubuntu18.04 arm version, nx can be used directly)

#阿里源
deb http://mirrors.aliyun.com/ubuntu-ports/ bionic main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-security main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-updates main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-proposed main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-backports main restricted universe multiverse


#中科大源
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic main restricted universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-updates main restricted universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-backports main restricted universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-security main restricted universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-proposed main restricted universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic main restricted universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-updates main restricted universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-backports main restricted universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-security main restricted universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-proposed main restricted universe multiverse


#163源
deb http://mirrors.163.com/ubuntu/ bionic main restricted universe multiverse
deb http://mirrors.163.com/ubuntu/ bionic-security main restricted universe multiverse
deb http://mirrors.163.com/ubuntu/ bionic-updates main restricted universe multiverse
deb http://mirrors.163.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb http://mirrors.163.com/ubuntu/ bionic-backports main restricted universe multiverse
deb-src http://mirrors.163.com/ubuntu/ bionic main restricted universe multiverse
deb-src http://mirrors.163.com/ubuntu/ bionic-security main restricted universe multiverse
deb-src http://mirrors.163.com/ubuntu/ bionic-updates main restricted universe multiverse
deb-src http://mirrors.163.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb-src http://mirrors.163.com/ubuntu/ bionic-backports main restricted universe multiverse

sudo apt-get update

If the source change fails, be sure to check your own network

If the network connection is normal and the source change still fails:

Open software and update: check and switch Ali source as shown in the figure

Close Software & Updates:

Click to reload

Can be ignored: select 20W 6CORE mode in the upper right corner (optional)

Install cmake and other dependent libraries

sudo apt-get install cmake-gui

If the cmake-gui installation fails here: it is probably a source problem, check the source, update

sudo apt-get install build-essential

sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev python-pip

Compile and install opencv

Unzip the opencv compressed package in the u disk to the home directory (or download it yourself, the version is opencv4.5.3)

You can go to the official website to download, or you can download the installation package from me

Link: https://pan.baidu.com/s/1AqR_G1n4gsWYorB36LHMhQ
Extraction code: x8qk

Unzip opencv_contrib to the opencv folder (optional)

Create folder build in opencv folder

open cmake-gui

The first directory selects the opencv folder

The second selects the build folder

Click configure, then select BUILD_opencv_world

CMAKE_BUILD_TYPE input Release

OPENCV_EXTRA_MODULES_MATH selects the module folder in opencv_contrib (optional)

Click configure, click generate

Go to the build folder

make -j4（根据minipc核心数量，如12线程则最多可选-j12）

sudo make install

Compile and install ceres-slover

(git clone https://ceres-solver.googlesource.com/ceres-solver )

You can also download the installation package from me, link: https://pan.baidu.com/s/1hmC1mq0GvDRDugwZBms-Kg  
Extraction code: tagw

# google-glog + gflags

sudo apt-get install libgoogle-glog-dev libgflags-dev

# Use ATLAS for BLAS & LAPACK

sudo apt-get install libatlas-base-dev

# Eigen3

sudo apt-get install libeigen3-dev

# SuiteSparse and CXSparse (optional)

sudo apt-get install libsuitesparse-dev

Enter the ceres-solover directory

create build folder

Go to the build folder

cmake ..
make -j6
sudo make install

Upgrade gcc:

sudo add-apt-repository ppa:ubuntu-toolchain-r/test

If the previous step prompts that the connection has timed out, check the network first

sudo apt-get update

sudo apt-get install gcc-11 g++-11

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 20

sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-11 20

(In this step, if it prompts that the link library is damaged, update it again)

sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-7 19

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 19



sudo update-alternatives --config gcc

Select gcc11 according to the prompt

sudo update-alternatives --config g++

Select g++11 according to the prompt

(tips: sudo update-alternatives –-config xxx can choose gcc/g++ version, different versions may be needed when compiling different libraries)

Install monitoring software jtop

sudo -H pip install -U jetson-stats

Install QT

sudo apt-get install qt5-default qtcreator -y

Install the camera driver (http://download.huaraytech.com/pub/sdk/), pay attention to the architecture, nuc is x86, tx2/nx is arm (nuc can choose the latest version to install, tx2/nx choose aarch64/arm linux version )

Put the camera driver into tx2 (MVviewer_Ver2.2.3_Linux_arm_Jetson_TX2_Build20200311.run)

Enter the placement location (preferably not on the desktop)

sudo sh MVviewer_Ver2.2.3_Linux_arm_Jetson_TX2_Build20200311.run  //文件名

If there are no special requirements, the environment construction has been completed at this step. Readers can move to view other people's excellent articles.

Solve the problem that cuda-runtime-api.h cannot be found when linking (stupid way)

sudo cp -r /usr/local/cuda/include/* /usr/include/aarch64-linux-gnu

Check whether it has been set to automatically log in when booting, not to automatically turn off the screen, and to automatically sleep

Create a folder SD in the home directory and download the code with git

(note if ssh has been added)

Start-up settings

Execute in terminal

gnome-session-properties

Add "tools/dog.sh" in the code project, namely:

gnome-terminal -- /home/nvidia/SD/Fastest/tools/dog.sh

I have little talent and knowledge, if there is any misunderstanding, please correct me, thank you for watching.