faster-rcnn在编译时遇到的一些问题

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在安装faster-rcnn事如果报这种错误

In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/net.hpp:10,
                 from ./include/caffe/solver.hpp:7,
                 from ./include/caffe/sgd_solvers.hpp:7,
                 from src/caffe/solvers/adam_solver.cpp:3:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^

处理方案:

这种问题出现的原因是在rbg开源这套物体检查方案时是依据的当时最新的cundnn版本，而这么多年过去，cudnn已经发布了好几个版本，所以要处理这个问题，只需要将caffe框架下的所有cudnn相关的文件替换车成当前caffe最新的即可.

rbg的faster-rcnn模型代码地址： https://github.com/rbgirshick/py-faster-rcnn

cafe框架的代码地址： https://github.com/BVLC/caffe

进入faster-rcnn目录下caffe-fast-rcnn的src/caffe/util/cudnn.cpp 以及src/caffe/layers/cudnn中的所有文件，还有include/util/cudnn.hpp 和include/layers/cudnn.hpp中的文件全部替换成caffe中对应的文件。然后编译即可.

参考：https://www.cnblogs.com/gongxijun/p/6672797.html