编译py-faster-rcnn的问题汇总及解决方法

    #    Extension('nms.gpu_nms',
    #        ['nms/nms_kernel.cu', 'nms/gpu_nms.pyx'],
    #        library_dirs=[CUDA['lib64']],
    #        libraries=['cudart'],
    #        language='c++',
    #        runtime_library_dirs=[CUDA['lib64']],
    #         # this syntax is specific to this build system
    #         # we're only going to use certain compiler args with nvcc and not with
    #         # gcc the implementation of this trick is in customize_compiler() below
    #        extra_compile_args={'gcc': ["-Wno-unused-function"],
    #                            'nvcc': ['-arch=sm_35',
    #                                     '--ptxas-options=-v',
    #                                     '-c',
    #                                     '--compiler-options',
    #                                     "'-fPIC'"]},
    #        include_dirs = [numpy_include, CUDA['include']]
    #    ),
    
    
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    
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    g++ -pthread -shared -B /data1/caiyong.wang/bin/anaconda2/compiler_compat -L/data1/caiyong.wang/bin/anaconda2/lib -Wl,-rpath=/data1/caiyong.wang/bin/anaconda2/lib,--no-as-needed build/temp.linux-x86_64-2.7/nms/nms_kernel.o build/temp.linux-x86_64-2.7/nms/gpu_nms.o -L/usr/local/cuda/lib64 -L/data1/caiyong.wang/bin/anaconda2/lib -Wl,-rpath=/usr/local/cuda/lib64 -lcudart -lpython2.7 -o /data1/caiyong.wang/program/faster_rcnn/py-faster-rcnn/lib/nms/gpu_nms.so
    
    
      
    
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    [caiyong.wang@localhost lib]$ make
    python setup.py build_ext --inplace
    running build_ext
    skipping 'utils/bbox.c' Cython extension (up-to-date)
    skipping 'nms/cpu_nms.c' Cython extension (up-to-date)
    skipping 'nms/gpu_nms.cpp' Cython extension (up-to-date)
    skipping 'pycocotools/_mask.c' Cython extension (up-to-date)
    rm -rf build
    
    
      
      
      
      
      
      
      
      
    
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    export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
    export PATH=/usr/local/cuda-8.0/bin:$PATH
    
    
      
      
    
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    export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH
    
    
      
    
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    sudo yum install  hdf5-devel
    
    
    
      
      
    
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     ./configure --prefix=/**/hdf5-X.Y.Z/ <more configure_flags> 
    
    
      
    
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     ./configure   --enable-cxx
    
    
      
    
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    $ gunzip < hdf5-X.Y.Z.tar.gz | tar xf -
    $ cd hdf5-X.Y.Z
    $ ./configure --prefix= /**/hdf5-X.Y.Z/ <more configure_flags>
    $ make
    $ make check                # run test suite.
    $ make install
    $ make check-install        # verify installation.
    
    
      
      
      
      
      
      
      
    
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    INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include  /**/hdf5-X.Y.Z/hdf5/include 
    LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /**/hdf5-X.Y.Z/hdf5/lib
    
    
      
      
    
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    如果安装过 anaconda 的话，那 libhdf5-serial-dev 可以不装。如果编译时提示找不到 hdf5 的库。就把 anaconda/lib 加到 ld.so.conf 中去。
    
    $ sudo vim /etc/ld.so.conf
    
    添加一行,用户名改为你自己的:
    /home/your_username/anaconda/lib
    关闭并保存文件。
    
    $ sudo ldconfig
    
    
      
      
      
      
      
      
      
      
      
    
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    [ RUN      ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth
    libprotobuf ERROR google/protobuf/text_format.cc:169] Error parsing text-format caffe.SolverParameter: 1:23: Expected identifier.
    F1018 01:39:16.016651  8291 test_gradient_based_solver.cpp:56] Check failed: google::protobuf::TextFormat::ParseFromString(proto, &param)
    *** Check failure stack trace: ***
    @     0x7f66fa250a5d  google::LogMessage::Fail()
    @     0x7f66fa254ef7  google::LogMessage::SendToLog()
    @     0x7f66fa252d59  google::LogMessage::Flush()
    @     0x7f66fa25305d  google::LogMessageFatal::~LogMessageFatal()
    @           0x8fb1c1  caffe::GradientBasedSolverTest<>::InitSolverFromProtoString()
    @           0x8e6a93  caffe::GradientBasedSolverTest<>::RunLeastSquaresSolver()
    @           0x8f16db  caffe::GradientBasedSolverTest<>::TestLeastSquaresUpdate()
    @           0x966cc3  testing::internal::HandleExceptionsInMethodIfSupported<>()
    @           0x95eac7  testing::Test::Run()
    @           0x95eb6e  testing::TestInfo::Run()
    @           0x95ec75  testing::TestCase::Run()
    @           0x960f08  testing::internal::UnitTestImpl::RunAllTests()
    @           0x961197  testing::UnitTest::Run()
    @           0x5257af  main
    @       0x3d21a1ed1d  (unknown)
    @           0x525355  (unknown)
    make: *** [runtest] Aborted (core dumped)
    
    
    
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    
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    $ protoc --version
    libprotoc 2.3.0
    
    
    
      
      
      
    
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    $./autogen.sh(在下载的可以省略)
    $./configure --prefix=/home/**/protobuf （自己的目录下）
    $ make
    $ make check
    $ make install
    
     编译成功后将export PATH=/home/**/protobuf/bin:$PATH加入到环境变量中
    
      最后输入 protoc --version命令，如显示protobuf-**则安装成功。
    
    
      
      
      
      
      
      
      
      
      
    
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