安装jtop

sudo apt-get install python3-pip

sudo -H pip3 install -U jetson-stats

sudo jtop

更换镜像源

deb https://mirrors.tuna./ubuntu-ports/ bionic main restricted universe multiversedeb https://mirrors.tuna./ubuntu-ports/ bionic-updates main restricted universe multiversedeb https://mirrors.tuna./ubuntu-ports/ bionic-backports main restricted universe multiversedeb https://mirrors.tuna./ubuntu-ports/ bionic-security main restricted universe multiverse

配置CUDA

sudo vi /home/jetson/.bashrc 末尾添加两行

export PATH=/usr/local/cuda-10.2/bin:$PATH

export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

保存退出，source生效

source /home/jetson/.bashrc

nvcc -V

安装TensorFlowGPU版（不使用不装）

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran

sudo pip3 install --pre --extra-index-url https://developer./compute/redist/jp/v44 tensorflow

下载tensorflow.whl文件，然后安装

pip3 install Cython

pip3 install tensorflow-2.1.0+nv20.4-cp36-cp36m-linux_aarch64.whl --use-feature=-resolver

安装keras（不使用不装）

sudo python3 -m pip install keras

TensorRT 环境搭建

默认安装了TensorRT

如果要使用python接口的tensorrt，则需要安装pycuda

pip3 install pycuda

jetson-inference（不使用不装）

sudo apt-get install libpython3-dev python3-numpy

sudo apt-get install git cmake

git config --global http.postBuffer 5242880000

git config --global http.lowSpeedLimit 0

git config --global http.lowSpeedTime 999999

git clone /dusty-nv/jetson-inference# 手动下载

git clone --recursive /dusty-nv/jetson-inference

cd jetson-inference

将jetson-inference需要的包里所有内容复制到jetson-inference/data/networks下

git init

git submodule update --init

mkdir build

cd build

git init

git submodule update --init

# 解决办法 由于没有公钥，无法验证下列签名： NO_PUBKEY 0CC3FD642696BFC8

sudo apt-key adv --keyserver hkp://:80 --recv 0CC3FD642696BFC8

sudo apt-get update

编辑jetson-inference/CMakePrebuild.sh。把./download-models.sh注释掉,（前面加个#注释）

cmake ../

../CMakePreBuild.sh

安装exfat-fuse,挂载移动硬盘

sudo apt-get install exfat-fuse

安装vscode

sudo apt-get install curl

curl -L /toolboc/vscode/releases/download/1.32.3/code-oss_1.32.3-arm64.deb -o code-oss_1.32.3-arm64.deb

sudo dpkg -i code-oss_1.32.3-arm64.deb

摄像头

sudo apt-get install v4l-utils

安装伺服舵机包（Servo）

sudo python3 -m pip install adafruit-circuitpython-servokit

安装面部识别相关库（不使用不装）

sudo apt-get install cmake libopenblas-dev liblapack-dev libjpeg-dev

wget /files/dlib-19.17.tar.bz

tar jxvf dlib-19.17.tar.bz2

cd dlib-19.17

vi dlib/cuda/cudnn_dlibapi.cpp 注释掉 //Forward_algo = forward_best_algo; 保存

sudo python3 setup.py install

sudo pip3 install face_recognition

测试 python3 import face-recogniton

安装pip

sudo apt-get install python3-pip python3-dev

python3 -m pip install --upgrade pip #升级pip

安装机器学习包

sudo apt-get install python3-numpy

sudo apt-get install python3-scipy

sudo apt-get install python3-pandas

sudo apt-get install python3-matplotlib

sudo apt-get install python3-sklearn

vnc远程桌面控制

sudo apt-get update

sudo apt-get install vino

cd ~

sudo ln -s ../vino-server.service /usr/lib/systemd/user/graphical-session.target.wants

gsettings set org.gnome.Vino prompt-enabled false

gsettings set org.gnome.Vino require-encryption false

sudo vi /usr/share/glib-2.0/schemas/org.gnome.Vino.gschema.xml

在key内容添加到文件的最后面（key name ='notify-on-connect'后面）

<key name='enabled' type='b'><summary>Enable remote access to the desktop</summary><description>If true, allows remote access to the desktop via the RFBprotocol. Users on remote machines may then connect to thedesktop using a VNC viewer.</description><default>false</default></key>

sudo glib-compile-schemas /usr/share/glib-2.0/schemas

gsettings set org.gnome.Vino authentication-methods "['vnc']"

gsettings set org.gnome.Vino vnc-password $(echo -n '登录密码'|base64)

sudo reboot

设置开机启动VNC

gsettings set org.gnome.Vino enabled true

mkdir -p ~/.config/autostart

sudo vi ~/.config/autostart/vino-server.desktop

[Desktop Entry]Type=ApplicationName=Vino VNC serverExec=/usr/lib/vino/vino-serverNoDisplay=true

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