zoukankan      html  css  js  c++  java
  • flownet2.0 caffe anaconda2 编译安装


    1. 下载flownet2.0源码到指定目录

    cd /home/zzq/saliency_models/deep_optical_flow
    git clone https://github.com/lmb-freiburg/flownet2
    cd flownet2
    cp Makefile.config.example Makefile.config
    

    2. 新建anaconda2 flownet2.0环境

    cd ~/anaconda2/bin
    conda create -n flownet2.0 python=2.7
    source activate flownet2.0
    conda install numpy
    conda instaLL cython
    conda install scipy
    conda install scikit-image
    pip install msgpack
    pip install opencv-python
    

    3. 配置flownet2.0环境

    修改Makefile.config:

    USE_CUDNN := 1
    USE_OPENCV := 1
    ANACONDA_HOME := $(HOME)/anaconda2/envs/flownet2.0
    PYTHON_INCLUDE := $(ANACONDA_HOME)/include 
     		    $(ANACONDA_HOME)/include/python2.7 
            	    $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include 
                        /usr/include/python2.7 
    
    INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/
    LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
    

    修改Makefile:

    LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial  opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs
    
    NVCCFLAGS += -D_FORCE_INLINES -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)
    

    4. 编译flownet2.0

    make -j `nproc` all tools pycaffe 
    

    如果出现fatal error: pyconfig.h: No such file or directory #include "pyconfig.h",则:

    make clean
    export CPLUS_INCLUDE_PATH=/home/zzq/anaconda2/envs/flownet2.0/include/python2.7
    make -j `nproc` all tools pycaffe
    

    如果出现 ‘numeric_limits’ is not a member of ‘std’, 则在出错CPP文件中添加:

    #include<stdexcept>
    #include<limits>
    

    如果出现

    /usr/local/lib/libopencv_imgcodecs.so:对‘TIFFReadDirectory@LIBTIFF_4.0’未定义的引用
    /usr/local/lib/libopencv_imgcodecs.so:对‘TIFFWriteEncodedStrip@LIBTIFF_4.0’未定义的引用
    /usr/local/lib/libopencv_imgcodecs.so:对‘TIFFIsTiled@LIBTIFF_4.0’未定义的引用
    /usr/local/lib/libopencv_imgcodecs.so:对‘TIFFOpen@LIBTIFF_4.0’未定义的引用
    

    则在cmake opencv时添加:

    -D BUILD_TIFF=ON
    

    配置环境, 每次使用 flownet2.0 时, 都要进行如下操作

    source set-env.sh


    5. 测试flownet2.0

    cd models,下载模型。

    run-flownet.py ../models/FlowNet2/FlowNet2_weights.caffemodel.h5  ../models/FlowNet2/FlowNet2_deploy.prototxt.template /home/zzq/ZZQ/MSVSD/OUTPUT/video/1/1.jpg /home/zzq/ZZQ/MSVSD/OUTPUT/video/1/2.jpg /home/zzq/ZZQ/MSVSD/OUTPUT/video/1/flow2.flo 
    
    

    可视化结果:

    注意: conda install protobuf一定要在编译环境成功之后。否则会出现/usr/include/c++/5/bits/c++0x_warning.h:32:2: error: #error This file requires compiler and library support for the ISO C++ 2011 standard. This support must be enabled with the -std=c++11 or -std=gnu++11 compiler options. 的错误。

    CV小蜡肉
  • 相关阅读:
    修复 Visual Studio Error “No exports were found that match the constraint”
    RabbitMQ Config
    Entity Framework Extended Library
    Navisworks API 简单二次开发 (自定义工具条)
    NavisWorks Api 简单使用与Gantt
    SQL SERVER 竖表变成横表
    SQL SERVER 多数据导入
    Devexpress GridControl.Export
    mongo DB for C#
    Devexress XPO xpPageSelector 使用
  • 原文地址:https://www.cnblogs.com/zzq-123456/p/9706036.html
Copyright © 2011-2022 走看看