# Fast-RCNN demo
This folder contains an example implementation of Fast-RCNN [1] in
MatConvNet. The example trains and test on the PASCAL VOC 2007 data.
There are three entry-point scripts:
* `fast_rcnn_demo.m`: runs the original Caffe model imported in MatConvNet.
* `fast_rcnn_train.m`: trains a new model from scratch, using pre-computed proposals.
* `fast_rcnn_evaluate.m`: evaluates the trained model.
Note that the code does not ship with a proposal generation method, so
proposals must be precomputed (using e.g. edge boxes or selective
search windows).
The `fast_rcnn_demo.m` code should run out of the box, downloading the
model as needed.
To test the training code using the first GPU on your system, use
something like:
run matlab/vl_setupnn
addpath examples/fast_rcnn
fast_rcnn_train('train',struct('gpus',1)) ;
fast_rcnn_evaluate('gpu',1) ;
## References
1. *Fast R-CNN*, R. Girshick, International Conference on Computer
Vision (ICCV), 2015.
编译工具箱代码matconvnet17.rar_matconvnet_matconvnet cnn_编译图像处理工具箱 （362个子文件） 
references.bib 5KB COPYING 735B normalize_cpu.cpp 12KB roipooling_cpu.cpp 12KB pooling_cpu.cpp 10KB bnorm_cpu.cpp 10KB tinythread.cpp 8KB im2row_cpu.cpp 8KB imread_libjpeg.cpp 6KB bilinearsampler_cpu.cpp 6KB imread_gdiplus.cpp 6KB imread_quartz.cpp 5KB subsample_cpu.cpp 3KB imread.cpp 1KB nnbias.cpp 1KB copy_cpu.cpp 1KB vl_nnbilinearsampler.cpp 122B nnfullyconnected.cpp 121B vl_nnnormalize.cpp 116B vl_imreadjpeg_old.cpp 115B vl_imreadjpeg.cpp 115B vl_nnroipool.cpp 114B vl_taccummex.cpp 114B vl_cudatool.cpp 113B nnbilinearsampler.cpp 113B nnroipooling.cpp 113B vl_nnconvt.cpp 112B nnsubsample.cpp 112B vl_nnbnorm.cpp 112B vl_nnconv.cpp 111B nnnormalize.cpp 111B vl_nnpool.cpp 111B vl_tmove.cpp 110B datamex.cpp 109B nnpooling.cpp 107B data.cpp 106B nnbnorm.cpp 103B nnconv.cpp 101B fixes.css 3KB base.css 2KB vl_tmove.cu 76KB bnorm_gpu.cu 45KB vl_imreadjpeg.cu 43KB nnconv_cudnn.cu 23KB im2row_gpu.cu 20KB vl_nnconv.cu 17KB nnbnorm_cudnn.cu 17KB data.cu 14KB pooling_gpu.cu 13KB vl_imreadjpeg_old.cu 13KB vl_nnconvt.cu 13KB datamex.cu 13KB roipooling_gpu.cu 13KB nnbilinearsampler_cudnn.cu 12KB bilinearsampler_gpu.cu 12KB datacu.cu 10KB vl_nnbnorm.cu 10KB vl_nnpool.cu 9KB nnpooling_cudnn.cu 9KB nnconv.cu 9KB nnbias_cudnn.cu 8KB vl_nnroipool.cu 8KB nnbnorm.cu 8KB nnfullyconnected.cu 8KB nnsubsample.cu 7KB vl_nnbilinearsampler.cu 7KB nnpooling.cu 6KB normalize_gpu.cu 5KB vl_taccummex.cu 5KB vl_nnnormalize.cu 5KB subsample_gpu.cu 5KB nnroipooling.cu 5KB nnbilinearsampler.cu 5KB nnnormalize.cu 4KB vl_cudatool.cu 4KB nnbias.cu 4KB copy_gpu.cu 1KB sharedmem.cuh 4KB googlenet_prototxt_patch.diff 2KB matconvnet.vcxproj.filters 12KB .gitattributes 119B .gitignore 877B .gitmodules 0B tinythread.h 21KB mexutils.h 19KB fast_mutex.h 7KB imread_helpers.hpp 21KB nnconv_blas.hpp 13KB blashelper.hpp 11KB data.hpp 7KB nnbias_blas.hpp 5KB datacu.hpp 4KB cudnnhelper.hpp 3KB bnorm.hpp 2KB nnbnorm.hpp 2KB nnconv.hpp 2KB roipooling.hpp 2KB pooling.hpp 2KB nnbnorm_cudnn.hpp 2KB datamex.hpp 2KB共 362 条
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