【ACF学习】ACF安装、训练及检测初探

╰半夏微凉° 2022-06-12 12:39 126阅读 0赞

使用环境说明：Win10+VS2013+MATLAB R2016a

1，dollar工具箱下载编译

[https://pdollar.github.io/toolbox/][https_pdollar.github.io_toolbox]，最新版本是Version3.5

For version history click [here.][] This code is licensed under the [Simplified BSD License.][]

*  Recommended: download the latest version from [GitHub][]
 *  [Version 3.50][] May 12, 2016
 *  [Version 3.00][] Aug. 06, 2012
 *  [Version 2.00][] Sep. 30, 2007
 *  [Version 1.03][] May. 03, 2006 \[compatible with cuboids code\]
 *  [Version 1.00][] Oct. 02, 2005

下载后添加目录、编译即可使用

addpath(genpath('ROOT\\piotr\_toolbox\\toolbox\\'))

savepath

toolboxCompile

注意编译前需要配置好VS编译器

工具箱包含七大部分，channels、classify、detector、filter、images、matlab、videos，后续会对每部分做详细的说明介绍

2，测试已训练模型

可以准备好Inria或者Caltech数据使用detector中acfDemoInria.m或者acfDemoCal.m测试，也可以直接用图片测试

load('detector/models/AcfInriaDetector.mat')

加载的detector分为三部分：opts、clf、info

opts保存模型相关信息

clf保存分类器信息

info保存特征通道信息

image = imread('test.jpg')

box = acfDetect(image, detector)

figure;

im(image);

bbApply('draw', box);

![Center][]

% The detector was introduced and described through the following papers:  
% \[1\] P. Doll醨, Z. Tu, P. Perona and S. Belongie  
% "Integral Channel Features", BMVC 2009.  
% \[2\] P. Doll醨, S. Belongie and P. Perona  
% "The Fastest Pedestrian Detector in the West," BMVC 2010.  
% \[3\] P. Doll醨, R. Appel and W. Kienzle  
% "Crosstalk Cascades for Frame-Rate Pedestrian Detection," ECCV 2012.  
% \[4\] P. Doll醨, R. Appel, S. Belongie and P. Perona  
% "Fast Feature Pyramids for Object Detection," PAMI 2014.  
% \[5\] W. Nam, P. Doll醨, and J.H. Han  
% "Local Decorrelation For Improved Pedestrian Detection," NIPS 2014.  
% Please see: http://vision.ucsd.edu/~pdollar/research.html\#ObjectDetection

[https_pdollar.github.io_toolbox]: https://pdollar.github.io/toolbox/
[here.]: https://pdollar.github.io/toolbox/history.txt
[Simplified BSD License.]: http://en.wikipedia.org/wiki/BSD_licenses
[GitHub]: https://github.com/pdollar/toolbox
[Version 3.50]: https://pdollar.github.io/toolbox/archive/piotr_toolbox.zip
[Version 3.00]: https://pdollar.github.io/toolbox/archive/piotr_toolbox_V3.00.zip
[Version 2.00]: https://pdollar.github.io/toolbox/archive/piotr_toolbox_V2.00.zip
[Version 1.03]: https://pdollar.github.io/toolbox/archive/piotr_toolbox_V1.03.zip
[Version 1.00]: https://pdollar.github.io/toolbox/archive/piotr_toolbox_V1.00.zip
[Center]: /images/20220612/cda193dd4d564223aca8e86d0ec8b030.png