matconvnet-1.0-beta25
所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:2525KB
下载次数:7
上传日期:2018-10-16 10:22:07
上 传 者:
Hlf_A
说明: matconvnet-25编译好的文件,确保放到matlab里面可以正常运行。
(Matconvnet-25 compiled files to ensure that the Matlab can run normally.)
文件列表:
matconvnet-1.0-beta25\CONTRIBUTING.md (1562, 2017-08-17)
matconvnet-1.0-beta25\COPYING (741, 2017-08-17)
matconvnet-1.0-beta25\doc\blocks.tex (32022, 2017-08-17)
matconvnet-1.0-beta25\doc\figures\imnet.pdf (18884, 2017-08-17)
matconvnet-1.0-beta25\doc\figures\pepper.pdf (702358, 2017-08-17)
matconvnet-1.0-beta25\doc\figures\svg\conv.svg (68592, 2017-08-17)
matconvnet-1.0-beta25\doc\figures\svg\convt.svg (65347, 2017-08-17)
matconvnet-1.0-beta25\doc\figures\svg\matconvnet-blue.svg (6561, 2017-08-17)
matconvnet-1.0-beta25\doc\figures\svg\matconvnet-white.svg (6734, 2017-08-17)
matconvnet-1.0-beta25\doc\fundamentals.tex (33879, 2017-08-17)
matconvnet-1.0-beta25\doc\geometry.tex (16551, 2017-08-17)
matconvnet-1.0-beta25\doc\impl.tex (26898, 2017-08-17)
matconvnet-1.0-beta25\doc\intro.tex (17869, 2017-08-17)
matconvnet-1.0-beta25\doc\Makefile (4269, 2017-08-17)
matconvnet-1.0-beta25\doc\matconvnet-manual.tex (4412, 2017-08-17)
matconvnet-1.0-beta25\doc\matdoc.py (7192, 2017-08-17)
matconvnet-1.0-beta25\doc\matdocparser.py (11110, 2017-08-17)
matconvnet-1.0-beta25\doc\references.bib (4639, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\about.md (10722, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\css\fixes.css (2957, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\developers.md (3393, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\faq.md (7480, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\figures\stn-perf.png (59846, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\figures\stn-samples.png (32055, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\functions.md (3336, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\gpu.md (1148, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\index.md (4440, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\install-alt.md (3407, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\install.md (9956, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\js\mathjaxhelper.js (138, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\js\toggle.js (191, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\pretrained.md (17516, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\quick.md (2723, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\spatial-transformer.md (1282, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\training.md (1166, 2017-08-17)
matconvnet-1.0-beta25\doc\site\docs\wrappers.md (9183, 2017-08-17)
matconvnet-1.0-beta25\doc\site\mkdocs.yml (2362, 2017-08-17)
... ...
# 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.
近期下载者:
相关文件:
收藏者: