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📁 Lưu giữ về tài liệu học tập trong thời gian thực tập tại công ty MediTech.

Setup env note

Ghi chú lại các cài đặt setup môi trường.

Nvidia Drivers, Cuda, Cudnn, Tensorrt

Nvidia Drivers

Gỡ bỏ Cuda, Drivers cũ trên máy

sudo /usr/local/cuda-X.Y/bin/uninstall_cuda_X.Y.pl
sudo /usr/bin/nvidia-uninstall
sudo reboot
sudo add-apt-repository ppa:graphics-drivers
sudo apt-get update
sudo apt-get install nvidia-driver-440
sudo reboot

Kiểm tra với nvidia-smi

Nvidia Cuda 10.1

Cài đặt Cuda 10.1

cd ~
wget -O cuda-repo-ubuntu1804_10.1.105-1_amd64.deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.1.105-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.1.105-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda-10-1

Add Cuda to path: Thêm vào ~/.bashrc

# NVIDIA CUDA Toolkit
export PATH=/usr/local/cuda-10.1/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64

source ~/.bashrc

Kiểm tra cuda: nvcc -V

Cudnn 7.6.5.32

Cài đặt Cudnn 7.6.5.32 cho Cuda 10.1. Tải tại đây (sử dụng .tgz)

cd ~
tar -xzvf cudnn-10.2-linux-x64-v7.6.5.32.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*

Nvidia Tensorrt

Cài đặt TensorRT 6.0.1.5-ga. Phiên bản cuda10.1, deb (tải tại đây)

cd ~
sudo dpkg -i nv-tensorrt-repo-ubuntu1804-cuda10.1-trt6.0.1.5-ga-20190913_1-1_amd64.deb
sudo apt-key add /var/nv-tensorrt-repo-cuda10.1-trt6.0.1.5-ga-20190913/7fa2af80.pub
sudo apt-get update
sudo apt-get install tensorrt
sudo apt-get install python3-libnvinfer-dev
sudo apt-get install uff-converter-tf

Cài Docker, Nvidia-docker, Tensorflow Serving Docker

Docker

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

Nvidia-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-container-toolkit
sudo systemctl restart docker

Tensorflow Serving Docker

sudo docker pull tensorflow/serving:latest-gpu

Build Opencv với Cuda

Cài đặt các thư viện

$ sudo apt-get update
$ sudo apt-get upgrade
$ sudo apt-get install build-essential cmake unzip pkg-config
$ sudo apt-get install libjpeg-dev libpng-dev libtiff-dev
$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev
$ sudo apt-get install libv4l-dev libxvidcore-dev libx264-dev
$ sudo apt-get install libgtk-3-dev
$ sudo apt-get install libatlas-base-dev gfortran
$ sudo apt-get install python3-dev python3-pip

Tải source opencv

$ cd ~
$ wget -O opencv.zip https://github.com/opencv/opencv/archive/4.2.0.zip
$ wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.2.0.zip
$ unzip opencv.zip
$ unzip opencv_contrib.zip
$ mv opencv-4.2.0 opencv
$ mv opencv_contrib-4.2.0 opencv_contrib

Tạo và config virtualenv

sudo python3 -m pip install virtualenv virtualenvwrapper

Add virtuanenvwrapper to path: Thêm vào ~/.bashrc

# virtualenv and virtualenvwrapper
export WORKON_HOME=$HOME/.virtualenvs
export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
source /usr/local/bin/virtualenvwrapper.sh

source ~/.bashrc

Tạo môi trường

mkvirtualenv iview -p python3
pip install numpy

Build Opencv với Cuda

cd ~/opencv
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 OPENCV_ENABLE_NONFREE=ON \
	-D WITH_CUDA=ON \
	-D WITH_CUDNN=ON \
	-D OPENCV_DNN_CUDA=ON \
	-D ENABLE_FAST_MATH=1 \
	-D CUDA_FAST_MATH=1 \
	-D CUDA_ARCH_BIN=7.5 \
	-D WITH_CUBLAS=1 \
	-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \
	-D HAVE_opencv_python3=ON \
	-D PYTHON_EXECUTABLE=~/.virtualenvs/iview/bin/python \
	-D BUILD_EXAMPLES=ON ..
make -j8
sudo make install
sudo ldconfig

Dẫn opencv đến môi trường

cd ~/.virtualenvs/iview/lib/python3.6/site-packages/
ln -s /usr/local/lib/python3.6/site-packages/cv2/python-3.6/cv2.cpython-36m-x86_64-linux-gnu.so cv2.so