搜索资源列表
fast-SVMtraning-researchpaper
- 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
mushroom
- /* 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 Repos
svm_dense_dalal
- 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
SVM_test
- 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.
PR2
- 实现基于OpenCV的SVM目标分类,SVM提取目标跟背景-object classification based on SVM
hog
- 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
libsvm
- 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 .
de
- 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
SVM
- 自己用opencv实现的机器学习十大算法中的支持向量机算法，经过测试，算法运行很好-Own opencv realize with the machine learning ten algorithms in support vector machine algorithm, tested, the algorithm runs very well
SVM
- Hog+SVM是速度和效果综合平衡性能较好的一种行人检测方法。后来，虽然很多研究人员也提出了很多改进的行人检测算法，但基本都以该算法为基础框架。因此，Hog+SVM也成为一个里程表式的算法被写入到OpenCV中。在OpenCV2.0之后的版本，都有Hog特征描述算子的API，而至于SVM，早在OpenCV1.0版本就已经集成进去了；OpenCV虽然提供了Hog和SVM的API，也提供了行人检测的sample，遗憾的是，OpenCV并没有提供样本训练的sample。这也就意味着，很多人只能用Ope
SVM-yindao
- 使用Opencv C++中的支持向量机进行引导，对其进行分类并预测。-Opencv C++ using the support vector machine to guide the classification and prediction.
SVM-OCR
- 运用SVM进行训练和识别的的字符识别程序，借助opencv-Character recognition using SVM
matllbmatlab
- 自己用libsvm封的svm matlab,有例子 不错的源码 很好(Own use libsvm SVM of matlab, a good example of the source code is very good)
SVMminstRecognition
- 在OpenCV环境下使用SVM算法实现minst手写0-9识别(Using SVM algorithm to realize MINST handwritten 0-9 recognition in OpenCV environment)
基于Gabor+SVM的人脸图像性别识别
- 基于Gabor与支持向量机与opencv的系统
96282002Human-Motion-Tracking
- 利用图像的HOG特征训练SVM分类器，对运动人体目标进行跟踪(Using the HOG feature of the image to train the SVM classifier, the program runs through the obtained data.)
predictShape1
- 基于vs2010+opencv的平面图形识别，如三角形，圆形，菱形和矩形等。(Graphic recognition based on vs2010+opencv, such as triangles, circles, rhomboid and rectangle.)
people
- 基于python语言实现opencv自带svm检测行人(Opencv takes SVM to detect pedestrians)
FingerTip
- 基于深度相机的手势识别，利用深度信息设置包围盒分割手，然后使用SVM分类器对训练数据集进行训练。在静态手势测试时，我们先计算测试图像的HOG特征，然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is
mnist_test_opencv
- 利用opencv的ML-SVM，进行·mnist数据集的训练分类。 同时包含该数据集的读取(use opencv's ML-SVM to carry out training classification of MNIST dataset. Including the reading of the data set)