openpose簡單安裝 ubuntu18.04+openpose1.5.1+cuda10.0+cudnn7.3.1+qt5+cmake3.15.6+opencv4.2.0+caffe+pybind @ 微笑創客 Smile assassin

這是經過多次測試所跑出來的流程，版本要相同才能避免一些BUG

1.安裝nvidia驅動

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
sudo apt install ubuntu-drivers-common
ubuntu-drivers devices

查看驅動狀態

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sudo apt install nvidia-driver-440

(通常是安裝最新的，但可以稍微測試一下哪個版本最正常)

sudo reboot

網站內檢查驅動安裝是否安裝正確的方式：

http://benjaminnl.pixnet.net/blog/post/4897796-ubuntu-%E5%AE%89%E8%A3%9Dnvidia%E9%A9%85%E5%8B%95

2.安裝CUDA10

sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
wget https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux
sudo sh cuda_10.0.130_410.48_linux

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成功後會出現：

Installing the CUDA Toolkit in /usr/local/cuda-10.0 ...
Installing the CUDA Samples in /home/winter ...
Copying samples to /home/winter/NVIDIA_CUDA-10.0_Samples now...
Finished copying samples.

===========
= Summary =
===========

Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-10.0
Samples: Installed in /home/winter

Please make sure that
- PATH includes /usr/local/cuda-10.0/bin
- LD_LIBRARY_PATH includes /usr/local/cuda-10.0/lib64, or, add /usr/local/cuda-10.0/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-10.0/bin

Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-10.0/doc/pdf for detailed information on setting up CUDA.

***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 384.00 is required for CUDA 10.0 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
sudo <CudaInstaller>.run -silent -driver

Logfile is /tmp/cuda_install_15075.log

裡面有檢查CUDA是否安裝正確的方法：

http://benjaminnl.pixnet.net/blog/post/4874375-%E6%AA%A2%E6%9F%A5cuda%E6%98%AF%E5%90%A6%E5%AE%89%E8%A3%9D%E6%88%90%E5%8A%9F

3.安裝Cudnn

http://developer.nvidia.com/rdp/cudnn-download

要先登入下載：

cuDNN v7.3.1 Library for Linux

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先解壓縮然後將檔案放入cuda：

tar -xvf cudnn-10.0-linux-x64-v7.3.1.20.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda/include/
sudo cp cuda/lib64/lib* /usr/local/cuda/lib64/
cd /usr/local/cuda/lib64/
sudo chmod +r libcudnn.so.7.3.1
sudo ln -sf libcudnn.so.7.3.1 libcudnn.so.7
sudo ln -sf libcudnn.so.7 libcudnn.so
sudo ldconfig

裡面有檢查Cudnn是否安裝正確的心得：

http://benjaminnl.pixnet.net/blog/post/4916189-ubuntu-%E5%AE%89%E8%A3%9Dcudnn-7.3.1-for-cuda10

4.cmake安裝

sudo apt-get update
sudo apt-get install qt5-default qtcreator
wget https://cmake.org/files/v3.15/cmake-3.15.6.tar.gz
tar -xzf cmake-3.15.6.tar.gz
cd cmake-3.15.6/
./configure --qt-gui
make -j6
cd bin/
./cmake-gui

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5.opencv4.2.0

sudo apt-get update
sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt-get install -y python2.7-dev python3.6-dev python-dev python-numpy python3-numpy
sudo apt-get install -y libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev
sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp
sudo apt-get install -y curl
sudo apt-get update
wget https://github.com/opencv/opencv/archive/4.2.0.zip
unzip 4.2.0.zip
cd opencv-4.2.0/
mkdir build
cd build/
cmake ..
make -j6
sudo make install -j6

檢查opencv的版本

python
import cv2
cv2.__version__

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6.安裝openpose

sudo apt install libcanberra-gtk-module libcanberra-gtk3-module
sudo apt-get --assume-yes update
sudo apt-get --assume-yes install build-essential
sudo apt-get --assume-yes install libatlas-base-dev libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get --assume-yes install --no-install-recommends libboost-all-dev
sudo apt-get --assume-yes install libgflags-dev libgoogle-glog-dev liblmdb-dev
sudo apt-get --assume-yes install python-setuptools python-dev build-essential
sudo easy_install pip
sudo -H pip install --upgrade numpy protobuf opencv-python
sudo apt-get --assume-yes install python3-setuptools python3-dev build-essential
sudo apt-get --assume-yes install python3-pip
sudo -H pip3 install --upgrade numpy protobuf opencv-python
sudo apt-get --assume-yes install opencl-headers ocl-icd-opencl-dev
git clone https://github.com/CMU-Perceptual-Computing-Lab/openpose.git
cd openpose/
mkdir build
git clone https://github.com/CMU-Perceptual-Computing-Lab/caffe.git
git clone https://github.com/pybind/pybind11.git