ECO
所属分类:图形图像处理
开发工具:matlab
文件大小:22997KB
下载次数:1
上传日期:2020-07-29 16:32:30
上 传 者:
6166393
说明: 视频追踪ECO算法源代码以及ECO论文PDF
(Video tracking eco algorithm and eco paper pdf)
文件列表:
ECO (0, 2020-07-26)
ECO\1611.09224.pdf (2679399, 2017-11-24)
demo_ECO.m (274, 2017-07-08)
demo_ECO_gpu.m (278, 2017-07-08)
demo_ECO_HC.m (285, 2017-07-08)
external_libs (0, 2017-07-08)
external_libs\matconvnet (0, 2020-07-26)
external_libs\matconvnet\CONTRIBUTING.md (1562, 2017-03-24)
external_libs\matconvnet\COPYING (741, 2017-03-24)
external_libs\matconvnet\doc (0, 2020-07-26)
external_libs\matconvnet\doc\blocks.tex (32022, 2017-03-24)
external_libs\matconvnet\doc\figures (0, 2020-07-26)
external_libs\matconvnet\doc\figures\imnet.pdf (18884, 2017-03-24)
external_libs\matconvnet\doc\figures\pepper.pdf (702358, 2017-03-24)
external_libs\matconvnet\doc\figures\svg (0, 2020-07-26)
external_libs\matconvnet\doc\figures\svg\conv.svg (68592, 2017-03-24)
external_libs\matconvnet\doc\figures\svg\convt.svg (65347, 2017-03-24)
external_libs\matconvnet\doc\figures\svg\matconvnet-blue.svg (6561, 2017-03-24)
external_libs\matconvnet\doc\figures\svg\matconvnet-white.svg (6734, 2017-03-24)
external_libs\matconvnet\doc\fundamentals.tex (33879, 2017-03-24)
external_libs\matconvnet\doc\geometry.tex (16551, 2017-03-24)
external_libs\matconvnet\doc\impl.tex (26898, 2017-03-24)
external_libs\matconvnet\doc\intro.tex (17869, 2017-03-24)
external_libs\matconvnet\doc\Makefile (4254, 2017-03-24)
external_libs\matconvnet\doc\matconvnet-manual.tex (4412, 2017-03-24)
external_libs\matconvnet\doc\matdoc.py (7192, 2017-03-24)
external_libs\matconvnet\doc\matdocparser.py (11110, 2017-03-24)
external_libs\matconvnet\doc\references.bib (4639, 2017-03-24)
external_libs\matconvnet\doc\site (0, 2020-07-26)
external_libs\matconvnet\doc\site\docs (0, 2020-07-26)
external_libs\matconvnet\doc\site\docs\about.md (10743, 2017-03-24)
external_libs\matconvnet\doc\site\docs\css (0, 2020-07-26)
external_libs\matconvnet\doc\site\docs\css\fixes.css (2957, 2017-03-24)
external_libs\matconvnet\doc\site\docs\developers.md (3393, 2017-03-24)
... ...
# 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.
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