在配置py-faster-rcnn的过程中，我遇到一些问题，记录如下
py-faster-rcnn文件夹下面有一个caffe-fast-rcnn文件夹
这个过程中，我们需要编译caffe,
rbgirshick 大神说，需要打开 WITH_PYTHON_LAYER := 1
和 USE_CUDNN := 1
Note: Caffe must be built with support for Python layers!
# In your Makefile.config, make sure to have this line uncommented
WITH_PYTHON_LAYER := 1
# Unrelatedly, it's also recommended that you use CUDNN
USE_CUDNN := 1
但是由于我安装的cudnn版本不对，就造成下面的报
util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’: ./include/caffe/util/cudnn.hpp:117:13: error: ‘CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING’ was not declared in this scope *mode = CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING; ^ Makefile:510: recipe for target '.build_release/src/caffe/util/im2col.o' failed make: *** [.build_release/src/caffe/util/im2col.o] Error 1
这个时候，可以换cudnn的版本，这样的话，需要重新配置和编译一下caffe，我比较懒，就没这么做。
还有最简单的办法是： 直接关掉 cudnn 这样就不会报这个错误了
接着 make all
出现了下面这个错误
我在编译单独caffe的时候，就已经把opencv安装好了，按理来说不应该出现这个错误
.build_release/lib/libcaffe.so: undefined reference to `cv::imread(cv::String const&, int)' .build_release/lib/libcaffe.so: undefined reference to `cv::imencode(cv::String const&, cv::_InputArray const&, std::vector<unsigned char, std::allocator<unsigned char> >&, std::vector<int, std::allocator<int> > const&)' .build_release/lib/libcaffe.so: undefined reference to `cv::imdecode(cv::_InputArray const&, int)' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/convert_imageset.bin] Error 1
我 google到了解决办法
意思就是在 makefile.config里面加一个LIBRARIES
我是这样加的 直接加在opencv下面
# Uncomment if you're using OpenCV 3 OPENCV_VERSION := 3 LIBRARIES += glog gflags protobuf leveldb snappy \ lmdb boost_system hdf5_hl hdf5 m \ opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs
再make all就通过了
