准备

请参考深度学习：Ubuntu16.04+双TitanX+CUDA8.0+CUDNN5.1+Caffe 搭建起深度学习基础平台

安装

github address Fater RCNN

git clone --recursive https://github.com/rbgirshick/py-faster-rcnn.git

Faster R-CNN 并不支持CUDNN5.1 所以需要合并Caffe来支持

cd caffe-fast-rcnn
git remote add caffe https://github.com/BVLC/caffe.git
git fetch caffe
git merge -X theirs caffe/master

然后删除 self_.attr("phase") = static_cast<int>(this->phase_); 从 include/caffe/layers/python_layer.hpp 中，当合并结束后

Build the Cython modules

cd $FRCN_ROOT/lib
make

修改Makfile.config

USE_CUDNN := 1 (可选)
USE_OPENCV := 1 （可选）
OPENCV_VERSION := 3 （如果打开了USE_OPENCV，而且opencv版本为3时）
PYTHON_INCLUDE := /usr/include/python2.7 /usr/lib/python2.7/dist-packages/numpy/core/include
WITH_PYTHON_LAYER := 1
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 /usr/local/share/OpenCV/3rdparty/lib

修改Makfile

将下面这一行:
NVCCFLAGS += -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)
替换为：
NVCCFLAGS += -D_FORCE_INLINES -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)

当使用opencv3 出现错误 imread,imencode,imdecode 或者 VideoCapture 时，编辑Makefile :

 LIBRARIES += glog gflags protobuf leveldb snappy \
  lmdb boost_system boost_filesystem hdf5_hl hdf5 m \
  opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs opencv_videoio

Build Caffe and pycaffe

cd $FRCN_ROOT/caffe-fast-rcnn
# Now follow the Caffe installation instructions here:
#   http://caffe.berkeleyvision.org/installation.html
# If you're experienced with Caffe and have all of the requirements installed
# and your Makefile.config in place, then simply do:
make -j8 && make pycaffe