配置Dese Pose(ソースコードのコンパイルプロセスはサーバに適用されます)

22358 ワード

コンピュータビジョン環境設定

システム:Ubuntu 14.04

グラフィックス:GTX 1060 6 GB

#     densepose     cmake>=3.5，      cmake3.12   ，   cmake3.12  gcc-5 g++-5，    sudo     gcc g++   。
#        Ubuntu 14.04      ，     Linux    gcc-5 g++-5        
#   gcc g++
sudo add-apt-repository ppa:ubuntu-toolchain-r/test  
sudo apt-get update
sudo apt-get install gcc-5 g++-5  
cd /usr/bin  
sudo rm -rf gcc g++
sudo ln -s gcc-5 gcc
sudo ln -s g++-5 g++

#        /home/michael/local，      (  bin，lib，include，share)               ，  cuda
# PS：    NVIDIA driver cuda_8.0.61(       (Ubuntu Desktop)                    ，         )
vim /etc/modprobe.d/blacklist.conf
#        blacklist nouveau 
#    nouveau      ，        sudo  
sudo update-initramfs -u
#     ， cuda_8.0.61_375.26_linux.run            
#   Ctrl + Alt + F1        ，        X Server，  sudo  
sudo /etc/init.d/lightdm stop
#       
chmod a+x cuda_8.0.61_375.26_linux.run
./cuda_8.0.61_375.26_linux.run #      ，    
#                 

Do you accept the previously read EULA?
accept/decline/quit: accept

Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 375.26?
(y)es/(n)o/(q)uit: yes

Install the CUDA 8.0 Toolkit?
(y)es/(n)o/(q)uit: yes

Enter Toolkit Location
 [ default is /usr/local/cuda-8.0 ]: /home/michael/local/cuda_8.0.61

#        OpenGL  no    ，      ，      ，        X Server    
sudo /etc/init.d/lightdm restart
#     nvidia-smi                   ，          OK  ，      cuda_8.0.61


# PS:                  640x480         ，     
#              ，    sudo
sudo gedit /etc/X11/xorg.conf
#           ，       ，  
Section "ServerLayout"
    Identifier     "Layout0"
    Screen      0  "Screen0"
    InputDevice    "Keyboard0" "CoreKeyboard"
    InputDevice    "Mouse0" "CorePointer"
EndSection

Section "Files"
EndSection

Section "InputDevice"
    # generated from default
    Identifier     "Mouse0"
    Driver         "mouse"
    Option         "Protocol" "auto"
    Option         "Device" "/dev/psaux"
    Option         "Emulate3Buttons" "no"
    Option         "ZAxisMapping" "4 5"
EndSection

Section "InputDevice"
    # generated from default
    Identifier     "Keyboard0"
    Driver         "kbd"
EndSection

Section "Monitor"
    Identifier     "Monitor0"
    VendorName     "Unknown"
    ModelName      "Unknown"
    HorizSync       31.5 - 61.0 #      
    VertRefresh     50.0 - 75.0 #      
    Option         "DPMS"
EndSection

Section "Device"
    Identifier     "Device0"
    Driver         "nvidia"
    VendorName     "NVIDIA Corporation"
EndSection

Section "Screen"
    Identifier     "Screen0"
    Device         "Device0"
    Monitor        "Monitor0"
    DefaultDepth    24
    SubSection     "Display"
        Depth       24
    Modes "1920×1080"  #      
    EndSubSection
EndSection
#     OK，

#   cuda_8.0.61
chmod a+x cuda_8.0.61_375.26_linux.run
./cuda_8.0.61_375.26_linux.run
#   cuda_8.0.61       /home/michael/local/cuda_8.0.61
#        cuda8.0.61        
vim ~/.bashrc
#      
export PATH=/home/michael/local/cuda_8.0.61/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/home/michael/local/cuda_8.0.61/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export C_INCLUDE_PATH=/home/michael/local/cuda_8.0.61/include${C_INCLUDE_PATH:+:${C_INCLUDE_PATH}}
export CPLUS_INCLUDE_PATH=/home/michael/local/cuda_8.0.61/include${CPLUS_INCLUDE_PATH:+:${CPLUS_INCLUDE_PATH}}
#         
source ~/.bashrc
#    nvcc -V     cuda

#   cudnn6.0
tar -zxvf cudnn-8.0-linux-x64-v6.0.tgz #            cuda
cd cuda/include
cp cudnn.h /home/michael/local/cuda_8.0.61/include
cd ../lib64
cp -a lib* /home/michael/local/cuda_8.0.61/lib64
#    cudnn      cuda        ，      cuda  ，

#   opencv3.3
unzip opencv-3.3.0.zip
cd opencv-3.3.0 
mkdir build
cd build
#               
cmake \
-D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/home/michael/local \
-D WITH_TBB=ON \
-D BUILD_NEW_PYTHON_SUPPORT=ON \
-D WITH_V4L=ON \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D BUILD_EXAMPLES=ON \
-D WITH_QT=ON \
-D WITH_OPENGL=ON ..
#       
make -j4
make install

#                 opencv，      local  ，                                   
vim ~/.bashrc #      
export PATH=/home/michael/local/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/home/michael/local/lib${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export C_INCLUDE_PATH=/home/michael/local/include${C_INCLUDE_PATH:+:${C_INCLUDE_PATH}}
export CPLUS_INCLUDE_PATH=/home/michael/local/include${CPLUS_INCLUDE_PATH:+:${CPLUS_INCLUDE_PATH}}
export PKG_CONFIG_PATH=/home/michael/local/lib/pkgconfig${PKG_CONFIG_PATH:+:${PKG_CONFIG_PATH}}
#         
source ~/.bashrc
#    opencv_version     opencv

#   cmake3.12
tar -zxvf cmake-3.12.0.tar.gz
cd cmake-3.12.0
./bootstrap --prefix=/home/michael/local/ 
make -j4 
make install

#   Anaconda2，  Anaconda python         ，    python    ，       Anaconda  
sh Anaconda2-5.0.1-Linux-x86_64.sh
#        /home/michael/local/anaconda2，                 
#        yes Anaconda2   ~/.bashrc    ，        Python       Anaconda      Python
#         pip ，     pip        pip    ，        
#            pip ，Anaconda    python     ，    ：
cd ~/ && mkdir .pip && cd .pip && vim pip.conf
#     ：
[global]  
index-url=https://pypi.tuna.tsinghua.edu.cn/simple
[install]  
trusted-host=pypi.tuna.tsinghua.edu.cn 
disable-pip-version-check = true  
timeout = 6000
#       ，                   Densepose Caffe2 python   ，      
pip install --ignore-installed -U pip numpy pyyaml matplotlib setuptools Cython mock scipy typing future protobuf opencv-python memory-profiler

#          sudo  ，      sudo apt-get install XXX                    ，            
#          ，            

# zlib
#     Anaconda     Ubuntu    zlib，  Ubuntu     zlib   zlib_1.2.11.dfsg.orig.tar.xz     。
#   zlib_1.2.11.dfsg.orig.tar.xz，   zlib-1.2.11，   
./configure --prefix=/home/michael/local
make -j4
make install

# cocoapi
git clone --recursive https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI && make && make install
#   python  import pycocotools.coco     cocoapi    

# openblas
tar -zxvf OpenBLAS-0.2.20.tar.gz
cd OpenBLAS-0.2.20/
make -j4 && make PREFIX=/home/michael/local install

# snappy
tar -zxvf snappy-1.1.4.tar.gz
cd snappy-1.1.4/
./configure --prefix=/home/michael/local
make -j4
make install

# gtest
tar -zxvf gtest-1.5.0.tar.gz
cd gtest-1.5.0/
./configure --prefix=/home/michael/local
make -j4
make install

# glog
tar -zxvf glog-0.3.3.tar.gz
cd glog-0.3.3/
./configure --prefix=/home/michael/local
make -j4
make install

# leveldb
unzip leveldb-1.20.zip
cd leveldb-1.20/
make -j4
cd include/
cp -r leveldb/ /home/michael/local/include
cd ..
cd out-shared/
cp -a lib* /home/michael/local/lib/

# hdf5
tar -zxvf hdf5-1.8.17.tar.gz
cd hdf5-1.8.17/
./configure --prefix=/home/michael/local
make -j4
make install

# lmdb
tar -zxvf lmdb-LMDB_0.9.22.tar.gz
cd lmdb-LMDB_0.9.22/libraries/liblmdb
vim Makefile
#     prefix  = /home/michael/local
make -j4
make install 

# gflag
unzip gflags-master.zip
cd gflags-master/
mkdir build
cd build
cmake -D CMAKE_INSTALL_PREFIX=/home/michael/local ..
make -j4
make install

# protobuf
tar -zxvf protobuf-cpp-3.5.0.tar.gz
cd protobuf-3.5.0/
./configure --prefix=/home/michael/local
make -j4
make install

# openmpi
tar -zxvf openmpi-3.1.1.tar.gz
cd openmpi-3.1.1/
./configure --prefix=/home/michael/local
make -j4
make install

# caffe2
git clone --recursive https://github.com/pytorch/pytorch.git 
cd pytorch 
git submodule update --init 
mkdir build 
cd build
#   /home/michael/local/caffe2  ，    caffe2           caffe     ，     caffe2            
cmake -D CMAKE_INSTALL_PREFIX=/home/michael/local/caffe2 ..
make install -j4
#   PYTHON    
vim ~/.bashrc
export PYTHONPATH=/home/michael/pytorch/build${PYTHONPATH:+:${PYTHONPATH}}
#   caffe2       GPU
michael@hp:~/pytorch/build$ python -c 'from caffe2.python import core' 2>/dev/null && echo "Success" || echo "Failure"
Success #  Success

# densepose
git clone --recursive https://github.com/facebookresearch/densepose
cd densepose
make -j4
python detectron/tests/test_spatial_narrow_as_op.py
#  OK
make ops -j4
#  ，   caffe2，  ，          cuda9 cudnn7， densepose   cuda8 cudnn6  ，   make ops      make。
cd build #    make      build
#        
cmake \
-D CUDA_TOOLKIT_ROOT_DIR=/home/michael/local/cuda_8.0.61 \
-D CUDNN_INCLUDE_DIR=/home/michael/local/cuda_8.0.61/include \
-D CUDNN_LIBRARY=/home/michael/local/cuda_8.0.61/lib64/libcudnn.so \
-D CMAKE_PREFIX_PATH=/home/michael/local/caffe2 ..
make -j4
cd ..
python detectron/tests/test_zero_even_op.py
#  OK，  densepose         ，                   demo

#      
DensePose_ResNet101_FPN_s1x-e2e.pkl
DensePoseData/eval_data   # DensePoseData/get_eval_data.sh       
DensePoseData/UV_data    # DensePoseData/get_densepose_uv.sh       

#    densepose                 demo
python2 tools/infer_simple.py \
    --cfg configs/DensePose_ResNet101_FPN_s1x-e2e.yaml \
    --output-dir DensePoseData/infer_out/ \
    --image-ext jpg \
    --wts DensePose_ResNet101_FPN_s1x-e2e.pkl \
    DensePoseData/demo_data/demo_im.jpg
#     X Server                ，     imshow       
#      DensePoseData/infer_out     demo_im_INDS.png  demo_im_IUV.png  demo_im.jpg.pdf

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