搭建faster-rcnn進行目標檢測的環境

faster-rcnn提出論文： 《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》

faster-rcnn 的算法詳解可看這篇博文（清晰易懂，良心博文！）： http://blog.csdn.net/shenxiaolu1984/article/details/51152614

faster-rcnn python版本源碼地址：https://github.com/rbgirshick/py-faster-rcnn

這篇文章主要介紹搭建用faster-rcnn進行目標檢測所需的環境。

1.電腦上已經有可運行caffe所需的環境

2.下載faster-rcnn python版本源碼

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

3. 進入/py-faster-rcnn/lib 進行編譯

cd py-faster-rcnn/lib
make

4.編譯/py-faster-rcnn/caffe-fast-rcnn

cd py-faster-rcnn/caffe-fast-rcnn

cp Makefile.config.example Makefile.config

更改Makefile.config文件：

# 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

進行編譯：

make -j8 && make pycaffe

因爲這個版本所用的cudnn爲舊版本的，可能與新環境的cudnn不兼容，導致出現如下錯誤：

In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from src/caffe/util/db.cpp:1:
/usr/local/cuda/include/cudnn.h:803:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
make: *** [.build_release/src/caffe/util/db.o] Error 1
make: *** Waiting for unfinished jobs....

    

 解決辦法：

         1).將/py-faster-rcnn/caffe-fast-rcnn/include/caffe/util/cudnn.hpp 換成最新版的caffe裏的cudnn的實現，即相應的cudnn.hpp.

         2).將/py-faster-rcnn/caffe-fast-rcnn/src/caffe/layer裏的，所有以cudnn開頭的文件，例如cudnn_lrn_layer.cu，cudnn_pooling_layer.cpp，cudnn_sigmoid_layer.cu。

   都替換成最新版的caffe裏的相應的同名文件。

5.運行faster-rcnn裏的demo

cd py-faster-rcnn/tools
./tools/demo.py