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
