Ubuntu 18.04 重灌

依據 https://developer.nvidia.com/deepstream-getting-started

選擇各個版本

https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html

sudo apt-get install ssh

sudo apt install python3-pip

sudo ln -s /usr/bin/python3 /usr/bin/python

安裝 NVIDIA Driver

https://www.linuxbabe.com/ubuntu/install-nvidia-driver-ubuntu-18-04

sudo lshw -c display

sudo lshw -c video

sudo ubuntu-drivers devices

sudo ubuntu-drivers autoinstall

sudo reboot

sudo lshw -c display

安裝 CUDA Toolkit

https://developer.nvidia.com/cuda-downloads

請選擇 CUDA Toolkit 10.2

Linux/x86_64/Ubuntu/18.04/deb(local)

vi ~/.bashrc

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

export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:$LD_LIBRARY_PATH

安裝 CUDNN

https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html

https://developer.nvidia.com/cudnn

選擇 cuDNN v8.0.5 for CUDA 10.2

選擇 cuDNN Library for Linux (x86)

tar -xzvf cudnn-10.2-linux-x64-v8.0.5.39.tgz

sudo cp cuda/include/cudnn*.h /usr/local/cuda/include

sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64

sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*

sudo ldconfig

/sbin/ldconfig.real: /usr/local/cuda-10.2/targets/x86_64-linux/liblibcudnn.so.8 is not a symbolic link

cd /usr/local/cuda-10.2/targets/x86_64-linux/lib

sudo rm liblibcudnn.so.8 liblibcudnn.so

sudo ln -s libcudnn.so.8.0.5 libcudnn.so.8

sudo ln -s libcudnn.so.8 libcudnn.so

sudo ldconfig

安裝 TensorRT

下載 TensorRT binary

https://developer.nvidia.com/nvidia-tensorrt-7x-download

選擇 TensorRT 7.1.3.4 for Ubuntu 18.04 and CUDA 10.2 TAR package

version="7.1.3.4"

os="Ubuntu-18.04"

arch=$(uname -m)

cuda="cuda-10.2"

cudnn="cudnn8.0"

tar -xvzf TensorRT-7.1.3.4.Ubuntu-18.04.x86_64-gnu.cuda-10.2.cudnn8.0.tar.gz

vi ~/.bashrc

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/Data/TensorRT/TensorRT-7.1.3.4/lib

source ~/.bashrc

cd TensorRt-7.1.3.4/python

sudo pip3 install tensorrt-7.1.3.4-cp36-none-linux_x86_64.whl

cd ../uff

sudo pip3 install uff-0.6.9-py2.py3-none-any.whl

cd ../graphsurgeon/

sudo pip3 install graphsurgeon-0.4.5-py2.py3-none-any.whl

安裝 GStreamer

https://yingrenn.blogspot.com/2020/09/gstreamer.html

安裝 DeepStream

https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html#dgpu-setup-for-ubuntu

sudo apt install \

 libssl1.0.0 \

 libgstreamer1.0-0 \

 gstreamer1.0-tools \

 gstreamer1.0-plugins-good \

 gstreamer1.0-plugins-bad \

 gstreamer1.0-plugins-ugly \

 gstreamer1.0-libav \

 libgstrtspserver-1.0-0 \

 libgstrtspserver-1.0-dev \

 libjansson4

git clone https://github.com/edenhill/librdkafka.git

cd librdkafka

git reset --hard 7101c2310341ab3f4675fc565f64f0967e135a6a

./configure

make

sudo make install

sudo mkdir -p /opt/nvidia/deepstream/deepstream-5.0/lib

sudo cp /usr/local/lib/librdkafka* /opt/nvidia/deepstream/deepstream-5.0/lib

下載 DeepStream

https://developer.nvidia.com/assets/Deepstream/5.0/ga/secure/deepstream_sdk_5.0.1_x86_64.tbz2

sudo tar -xvf deepstream_sdk_v5.0.1_x86_64.tbz2 -C /

cd /opt/nvidia/deepstream/deepstream-5.0/

sudo ./install.sh

sudo ldconfig

安裝 CMake v3.13

wget http://www.cmake.org/files/v3.13/cmake-3.13.5.tar.gz

tar xpvf cmake-3.13.5.tar.gz cmake-3.13.5

cd cmake-3.13.5

sudo apt-get install zlib1g-dev

sudo apt-get install curl

sudo apt-get install libcurl3

sudo apt-get install libcurl4 libcurl4-openssl-dev

./bootstrap --system-curl

make -j$(nproc)

sudo make install

安裝 Docker

https://docs.docker.com/engine/install/ubuntu/

sudo apt-get update

sudo apt-get install \

    apt-transport-https \

    ca-certificates \

    curl \

    gnupg-agent \

    software-properties-common

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository \

   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \

   $(lsb_release -cs) \

   stable"

sudo apt-get update

sudo apt-get install docker-ce docker-ce-cli containerd.io

安裝 NVIDIA Docker

https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker

curl https://get.docker.com | sh \

  && sudo systemctl start docker \

  && sudo systemctl enable docker

distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \

   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \

   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list

sudo apt-get update

sudo apt-get install -y nvidia-docker2

sudo systemctl restart docker

sudo groupadd docker

sudo usermod -a -G docker $USER

sudo reboot

若 sudo apt update 出現

W: Target CNF (stable/cnf/Commands-all) is configured multiple times in /etc/apt/sources.list:52 and /etc/apt/sources.list.d/docker.list:1

sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 4773BD5E130D1D45

sudo rm /etc/apt/sources.list.d/docker.list

安裝 TensorRT 7.1 OSS

https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html

https://github.com/NVIDIA/TensorRT/tree/master

從 master 切換到 release/7.1

下載 TensorRT OSS

TensorRT OSS: 包含 TensorRT plugins, Caffe 和 ONNX parsers 等

git clone -b master https://github.com/nvidia/TensorRT TensorRT

cd TensorRT

git submodule update --init --recursive

參考之前的 TensorRT binary

cd TensorRT-7.1.3.4

export TRT_RELEASE=`pwd`

cd $TRT_SOURCE

./docker/build.sh --file docker/ubuntu.Dockerfile --tag tensorrt-ubuntu --os 18.04 --cuda 10.2

./docker/launch.sh --tag tensorrt-ubuntu --gpus all --release $TRT_RELEASE --source $TRT_SOURCE

cd $TRT_SOURCE

mkdir -p build && cd build

cmake .. -DTRT_LIB_DIR=$TRT_RELEASE/lib -DTRT_OUT_DIR=`pwd`/out

make -j$(nproc)

exit

mkdir backup

mv $TRT_RELEASE/targets/x86_64-linux-gnu/lib/libnvinfer_plugin.so.7.1.3 backup

cp $TRT_SOURCE/build/out/libnvinfer_plugin.so.7.2.1 $TRT_RELEASE/targets/x86_64-linux-gnu/lib/libnvinfer_plugin.so.7.1.3

安裝 OpenCV 4.4

git clone https://github.com/opencv/opencv.git opencv-4.4.0 -b 4.4.0 --depth 1

git clone https://github.com/opencv/opencv_contrib.git opencv_contrib-4.4.0 -b 4.4.0 --depth 1

sudo apt-get update

sudo add-apt-repository ppa:alex-p/tesseract-ocr

sudo apt install tesseract-ocr libtesseract-dev

sudo apt-get install libleptonica-dev

sudo apt-get install qt5-default

sudo apt-get install qtcreator

sudo apt-get install build-essential cmake unzip pkg-config

sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev

sudo apt-get install libxvidcore-dev libx264-dev

sudo apt-get install libgtk-3-dev

sudo apt-get install libatlas-base-dev gfortran

sudo apt-get install libhdf5-dev

sudo apt-get install python3-dev

mkdir build; cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE \

-D CMAKE_INSTALL_PREFIX=/usr/local \

-D INSTALL_PYTHON_EXAMPLES=ON \

-D INSTALL_C_EXAMPLES=OFF \

-D WITH_TBB=ON \

-D BUILD_opencv_cudacodec=OFF \

-D ENABLE_FAST_MATH=1 \

-D CUDA_FAST_MATH=1 \

-D WITH_CUDA=ON \

-D WITH_CUBLAS=ON \

-D WITH_LIBV4L=ON \

-D BUILD_opencv_python3=ON \

-D BUILD_opencv_python2=OFF \

-D BUILD_opencv_java=OFF \

-D WITH_V4L=ON \

-D WITH_QT=ON \

-D WITH_OPENGL=ON \

-D WITH_GSTREAMER=ON \

-D WITH_GTK=ON \

-D OPENCV_GENERATE_PKGCONFIG=ON \

-D OPENCV_PC_FILE_NAME=opencv.pc \

-D OPENCV_ENABLE_NONFREE=OFF \

-D OPENCV_EXTRA_MODULES_PATH=/your_path_to/opencv/opencv_contrib-4.4.0/modules \

-D BUILD_EXAMPLES=ON \

-D WITH_CUDNN=ON \

-D CUDNN_VERSION="8.0.5" \

-D OPENCV_DNN_CUDA=ON \

-D CUDNN_INCLUDE_DIR=/usr/local/cuda/include \

-D CUDNN_LIBRARY=/usr/local/cuda/lib64/libcudnn.so.8.0.5 \

-D CUDA_ARCH_BIN=7.5 \

../opencv-4.4.0

#-D OPENCV_ENABLE_NONFREE=ON \

#-D OpenGL_GL_PREFERENCE=LEGACY \

make -j$(nproc)

sudo make install

sudo ldconfig

opencv_version -v

下載 Tesseract 的中文字 chi_tra.traineddata, chi_tra_vert.traineddate

https://github.com/tesseract-ocr/tessdata

放至 /usr/share/tesseract-ocr/4.00/tessdata

安裝 Xpra

https://www.xpra.org/trac/wiki/Building/Debian

sudo apt-get install libx11-dev libxtst-dev libxcomposite-dev libxdamage-dev \

 libxkbfile-dev python-all-dev

sudo apt-get install libgtk-3-dev python3-dev python3-cairo-dev python-gi-dev cython3

sudo apt-get install xauth x11-xkb-utils

sudo apt-get install libx264-dev libvpx-dev yasm

sudo apt-get install libnvidia-encode-440

sudo apt-get install libavformat-dev libavcodec-dev libswscale-dev

sudo apt-get install libturbojpeg-dev

sudo apt-get install libwebp-dev

sudo apt-get install uglifyjs brotli libjs-jquery libjs-jquery-ui gnome-backgrounds

sudo apt-get install python3-opengl python3-numpy python3-pil

sudo apt-get install python3-rencode python3-lz4 python3-dbus python3-cryptography \

 python3-netifaces python3-yaml

sudo apt-get install python3-setproctitle python3-xdg python3-pyinotify python3-opencv

sudo apt-get install libpam-dev quilt xserver-xorg-dev xutils-dev xvfb keyboard-configuration

sudo apt-get install python3-kerberos python3-gssapi

sudo apt-get install gstreamer1.0-pulseaudio gstreamer1.0-alsa \

 gstreamer1.0-plugins-base gstreamer1.0-plugins-good \

 gstreamer1.0-plugins-ugly

sudo apt-get install cups-filters cups-common cups-pdf python3-cups

sudo apt-get install openssh-client sshpass python3-paramiko

sudo apt-get install devscripts build-essential lintian debhelper

wget https://www.xpra.org/src/xpra-4.0.4.tar.xz

tar -xf xpra-4.0.6.tar.xz

cd xpra-4.0.6

vi setup.py

#!/usr/bin/env python3

sudo ./setup.py install

安裝 frp

https://yingrenn.blogspot.com/2020/03/frp.html

vi frps.ini

[common]

bind_port = 7000

dashboard_port = 7001

dashboard_user = user

dashboard_pwd = password

vi /etc/systemd/system/frps.service

[Unit]

Description=FRP Server Daemon

[Service]

Type=simple

ExecStartPre=-/usr/sbin/setcap cap_net_bind_service=+ep /home/mark/Data/frp/frp_0.34.3_linux_amd64/frps

ExecStart=/path_to_frp/frp_0.34.3_linux_amd64/frps -c /path_to_frp/frp_0.34.3_linux_amd64/frps.ini

Restart=always

RestartSec=20s

User=nobody

PermissionsStartOnly=true

LimitNOFILE=infinity

[Install]

WantedBy=multi-user.target

sudo systemctl start frps

sudo systemctl enable ftps

安裝 Gitea Tomcat Nginx

https://yingrenn.blogspot.com/2019/11/gitea-in-ubuntu.html

https://yingrenn.blogspot.com/search/label/tomcat

安裝 x11vnc

因為 Ubuntu 18.04 改 LightDM 到 GDM3, 所以要在 console login 後，才能動作

sudo apt install x11vnc

sudo x11vnc -storepasswd

sudo chown mark.mark ~/.vnc/passwd

sudo vi /etc/systemd/system/x11vnc.service

# Description: Custom Service Unit file

# File: /etc/systemd/system/x11vnc.service

[Unit]

Description="x11vnc"

Requires=display-manager.service

After=display-manager.service

[Service]

ExecStart=/usr/bin/x11vnc -loop -nopw -xkb -repeat -noxrecord -noxfixes -noxdamage -forever -rfbport 5900 -display :1 -auth /run/user/1000/gdm/Xauthority -rfbauth /home/mark/.vnc/passwd

ExecStop=/usr/bin/killall x11vnc

Restart=on-failure

RestartSec=2

[Install]

WantedBy=multi-user.target

安裝 VirtualBox

https://www.virtualbox.org/wiki/Downloads

到官網下載

virtualbox-6.1_6.1.16-140961~Ubuntu~bionic_amd64.deb

Oracle_VM_VirtualBox_Extension_Pack-6.1.16.vbox-extpack

sudo dpkg -i virtualbox-6.1_6.1.16-140961~Ubuntu~bionic_amd64.deb

sudo groupadd win10disk

sudo usermod -a -G win10disk youruser

sudo udevadm info /dev/sdX | grep UUID

E: ID_PART_TABLE_UUID=01234567-89ab-cdef-0123-456789abcde

vi /etc/udev/rules.d/99-win10disk.rules

ENV{ID_PART_TABLE_UUID}=="1234567-89ab-cdef-0123-456789abcde", GROUP="win10disk"

ls -l /dev/sdb

brw-rw---- 1 root win10disk 8, 16 Nov 4 23:33 /dev/sdb

VBoxManage internalcommands createrawvmdk -filename .VirtualBox/Crucial1T.vmdk -rawdisk /dev/sda

sudo usermod -a -G vboxusers youruser

拷貝舊的 VM, 修改 win10.vbox, win10.vbox-prev 內的 uuid

與 .VirtualBox/Crucial1T.vmdk 的 uuid 一致

開啟 VirtualBox

File/Preferences...

Extensions 按 +

選擇剛下載的 Oracle_VM_VirtualBox_Extension_Pack-6.1.16.vbox-extpack

只有登入畫面無法使用滑鼠和鍵盤，其餘正常

sudo apt-get instll xserver-xorg-input-all