搭建faster-rcnn进行目标检测的环境
faster-rcnn提出论文： 《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》
faster-rcnn 的算法详解可看这篇博文（清晰易懂，良心博文！）： http://blog.****.net/shenxiaolu1984/article/details/51152614
faster-rcnn python版本源码地址：https://github.com/rbgirshick/py-faster-rcnn
这篇文章主要介绍搭建用faster-rcnn进行目标检测所需的环境。
1.电脑上已经有可运行caffe所需的环境
2.下载faster-rcnn python版本源码
- git clone --recursive https://github.com/rbgirshick/py-faster-rcnn.git
3. 进入/py-faster-rcnn/lib 进行编译
- cd py-faster-rcnn/lib
- make
4.编译/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
进行编译：
- make -j8 && make pycaffe
因为这个版本所用的cudnn为旧版本的，可能与新环境的cudnn不兼容，导致出现如下错误：
- 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....
解决办法：
1).将/py-faster-rcnn/caffe-fast-rcnn/include/caffe/util/cudnn.hpp 换成最新版的caffe里的cudnn的实现，即相应的cudnn.hpp.
2).将/py-faster-rcnn/caffe-fast-rcnn/src/caffe/layer里的，所有以cudnn开头的文件，例如cudnn_lrn_layer.cu，cudnn_pooling_layer.cpp，cudnn_sigmoid_layer.cu。
都替换成最新版的caffe里的相应的同名文件。5.运行faster-rcnn里的demo
- cd py-faster-rcnn/tools
- ./tools/demo.py