Location:
Search - opencv svm
Search list
Description: /*
The sample demonstrates how to build a decision tree for classifying mushrooms.
It uses the sample base agaricus-lepiota.data from UCI Repository, here is the link:
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998).
UCI Repository of machine learning databases
[http://www.ics.uci.edu/~mlearn/MLRepository.html].
Irvine, CA: University of California, Department of Information and Computer Science.
*/
// loads the mushroom database, which is a text file, containing
// one training sample per row, all the input variables and the output variable are categorical,
// the values are encoded by characters.
Platform: |
Size: 4096 |
Author: tofighi |
Hits:
Description: MFC 控制PPT 可实现翻页首页，尾页等功能-it is source code using MFC control PPT
Platform: |
Size: 4094976 |
Author: allen fu |
Hits:
Description: svm的VC代码，内容较多，不依赖libsvm，也不依赖opencv，可以自行修改程序-The VC code, SVM more, do not rely on libsvm content, does not depend on opencv, can modify the program itself
Platform: |
Size: 192512 |
Author: haodefang |
Hits:
Description: 快速 svm 训练算法的研究 里面有道opencv库，是论文来的，不合适的不要下-fast SVMtraning researchpaper
Platform: |
Size: 634880 |
Author: 毛渝南 |
Hits:
Description: 利用GDAL和Opencv中的SVM分类器对遥感图像进行分类操作。-Using gdal and opencv to do SVM classification.
Platform: |
Size: 5120 |
Author: 王月 |
Hits:
Description: 实现基于OpenCV的SVM目标分类,SVM提取目标跟背景-object classification based on SVM
Platform: |
Size: 2048 |
Author: yl |
Hits:
Description: HOG+SVM 应用OPENCV来检测人体图像中是否有人-HOG+SVM application the OPENCV to detect whether someone in the human body image
Platform: |
Size: 119808 |
Author: 熊伟 |
Hits:
Description: 这是中国区svm界最有名的一个程序了，在opencv中用的源就是这个，需要看源代码，且又不知道这个从哪个源网址下的就到这下吧。-This code is famous in China about svm. if you learn mode reconginaze ,you must be use this. happy every day .
Platform: |
Size: 4841472 |
Author: liaofangshun |
Hits:
Description: 基于HOG和SVM的行人检测代码，需要配置opencv-HOG and SVM-based pedestrian detection code need to configure opencv
Platform: |
Size: 7516160 |
Author: yang |
Hits:
Description: 学习OPENCV，HOG+SVM分类检索，调用opencv函数实现。-Learn OPENCV, HOG+ SVM classification retrieval, call the opencv function implementation.
Platform: |
Size: 17573888 |
Author: 林天 |
Hits:
Description: 支撑向量机（SVM），源码，可直接编译，编译前需要配置Opencv和VS。
用于分类-Support vector machine (SVM), source code can be compiled directly, you need to configure before compiling Opencv and VS. For classification
Platform: |
Size: 1024 |
Author: 李立 |
Hits:
Description: Linux下利用Opencv实现的行人检测算法！程序简答主要用的是opencv中SVM+HOG算法！-Linux using pedestrian detection algorithm Opencv realize! Program short answer is mainly used in the SVM+ HOG opencv algorithm!
Platform: |
Size: 50176 |
Author: 秦朗 |
Hits:
Description: 基于OPENCV实现SVM图像特征分类的小例子。-Implementation of SVM image classification based on a small example of OPENCV.
Platform: |
Size: 2048 |
Author: 李勤 |
Hits:
Description: 基于OPENCV实现不变矩的计算。注意，用于SVM分类时，需要归一化。-OPENCV computing based on moment invariants. Note that, for SVM classification, normalization.
Platform: |
Size: 1024 |
Author: 李勤 |
Hits:
Description: 基于opencv的手写数字识别（MFC,HOG,SVM）-Opencv handwritten numeral recognition (MFC, HOG, SVM) based
Platform: |
Size: 2972672 |
Author: gengzhen |
Hits:
Description: opencv实现的svm，对标准svm原理做了基本的改进，能够处理线性不可分的情况。-opencv realized svm, svm standard basic principle made improvements to handle the case of non-linear.
Platform: |
Size: 2048 |
Author: 欧龙崎 |
Hits:
Description: 用OPENCV实现支持向量机的源代码，运行于VS2010环境下运行通过-Support vector machine (SVM) to implement in OPENCV source code, run run through in VS2010 environment
Platform: |
Size: 1024 |
Author: 李逍遥 |
Hits:
Description: Latent SVM算法实现行人检测；需要opencv库-Latent SVM algorithm for pedestrian detection needing opencv library
Platform: |
Size: 23804928 |
Author: qyy |
Hits:
Description: 视频图像的人群密度检测，多种人群密度场景下人群计数算法：
算法功能:建立图像特征和图像人数的数学关系
算法输入:训练样本图像1,2…K
算法输出:模型估计参数 ，参考图像
算法流程：1)对训练样本图像进行分块处理(算法1.1)；
2)通过算法1.2，计算训练样本各个对应分块的ALBP特征归一化，再用K-means算法(可使用opencv等算法库实现，不再描述其算法)，将图像块分成k(k<K)类，获取k(k<K)个聚类中心，即为参考图像；
3)对分块的图像进行与参考图像进行匹配。使用算法1.2求取ALBP特征，并求取其相似度 ，将相似性集合作为新特征并形成一个归一化的新特征 。
4)按照行人面积占图像块面积的比例，以60 为分界，分布采用径向基核函数 和线性核函数 。K(xi,x)建立图像特征和图像人数的SVR(支持向量回归机)模型可使用opencv中的SVM或libsvm，输出模型估计参数 。
-Population density detection of video images, a variety of crowd density scenes crowd counting algorithm:
Algorithm functions: a mathematical relation between the image features and the number of images
Algorithm Input: training sample image 1,2 ... K
Algorithm output: model estimation parameters, reference image
Algorithmic process: 1) the training sample image into blocks (algorithm 1.1)
2) by 1.2 algorithm to calculate the corresponding training samples of each block ALBP features normalized, then K-means algorithm (algorithm can be used opencv library implementation, no longer describe the algorithm), the image block is divided into k (k <K) class, gets k (k <K) clustering centers, namely the reference image
3) conduct of image block matching with the reference image. 1.2 ALBP characterized using an algorithm to strike, and strike the similarity, the similarity of a set of new features and forming a normalized new features.
4) pedestrian area accounted for in
Platform: |
Size: 4759552 |
Author: 徐云华 |
Hits:
Description: Bag of Feature and SVM example using opencv
Platform: |
Size: 3072 |
Author: winev52 |
Hits: