搜索资源列表
voc-release2
- 这个matlab程序实现了基于一种采用判别方法训练的多尺度和可变形的物体检测模型的目标检测算法，算法可参考如下两篇论文 -[1] P. Felzenszwalb, D. McAllester, D. Ramanan A Discriminatively Trained, Multiscale, Deformable Part Model Proceedings of the IEEE CVPR 2008 [2] P. Felzenszwalb, R. Girshick, D.
VOCdevkit_14-Apr-2008.tar
- PASCAL Visual Object Classes，视觉识别竞赛的程序，共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。-PASCAL Visual Object Classes, Competition visual recognition procedures, a total of 20 major categories of the visual target. With code written in MATLAB. Able to gen
matlab[speech_toolboxes(1)]
- matlab语音信号处理工具箱[speech_toolboxes(1)]-matlab speech signal processing toolbox [speech_toolboxes (1)]
nup_PVcell
- this a simulation of a PV cell having VOC as 0.665V and Ioc as 2 A. its modeled on mathematical equations using sim powersystems in matlab.-this is a simulation of a PV cell having VOC as 0.665V and Ioc as 2 A. its modeled on mathematical equations u
voa
- matlab实现VOC数据集的物体扣取。-Matlab VOC cutting data set object
voc-release5
- 程序是在Linux下运行的，是基于可变形部件模型开发的MATLAB程序，目前是VOC较新版本，可用于车，人，鸟等等很多之类的检测。-the program is executed in the system of Linux, the programming language is matlab it was developed mainly based the mdoel of Deformable Part Model.
voc-release3.1
- Discriminatively Trained Deformable Part Models 模型的第三版源码，基于C和matlab，可用于目标检测-Discriminatively Trained Deformable Part Models source code
voc-release5
- DPM可变形部件模型的matlab代码，在linux环境下，用于图片中目标的检测，里面包含一些模型的文件，也可以自己训练-DPM deformable component model of the matlab code, in the Linux environment, for the image of the target detection, which contains a number of models of the file, you can also own training
make_vocdata_mat
- 基于matlab的制作VOC格式程序代码-matlab code for making voc data
voc-release4-win7-matlab
- 能够在win下编译输出，并且运行三种目标识别；拥有的资源有——HOG_cvpr2005.pdf Cascade Object Detection with Deformable Part Models-cascade.pdf Object Detection Grammars.-TR-2010-02.pdf Object Detection with Discriminatively Trained Part Based Models.pdf release4-notes.pdf S
voc-release5-Windows
- 用于在windows下运行和训练自己的DPM检测模型(Run and train your own DPM detection model under Windows)