搜索资源列表
SVM.rar
- OpenCV机器学习SVM支持向量机的分类程序举例,OpenCV Machine Learning SVM example.
SVM.rar
- 基于opencv的支持向量基（SVM）的代码，利用SVM解决2维空间向量的3级分类问题。,Opencv-based support vector machine (SVM) of the code, the use of SVM to solve 2-dimensional vector space of three classifications.
SVM
- OpenCV机器学习SVM支持向量机的分类程序 word格式-OpenCV machine learning support vector machine SVM classification procedure word format
OpenCV-IMLEMENT-SVM
- OPENCV实现SVM,很好的实现了图像分类，供大家参考-USE openCV to implement the SVM
PedestrianExtraction
- 基于opencv的行人检测，用到了svm,haar特征-Opencv-based pedestrian detection, use the svm, haar features, etc.
peopledetect
- 检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
SVM-OPENCV.txt
- code svm sous opencv
SVM-opencv-visual-C-6.0
- opencv中的支持向量机源程序，将日文翻译过来，中文注释，通俗易懂，比较adaboost-opencv source of support vector machines, translated to Japanese, Chinese, comments, user-friendly, more adaboost
20090501SleepingKoala
- 所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
svm
- SVM，一个简单的用于线性分类的代码，采用openCV写的。-SVM, a simple linear classification code used by openCV written.
Blog_hogCompute6.tar
- Opencv HOG (Histogram of Orientation Gradient) training based on Dalal method. When you try to use Opencv HOG, you may not know how the training of the SVM model is done. Here is the example Linux with Opencv2.1
train
- 进行svm分类器的训练，作为人脸检测的人脸分类器-For svm classifier training as face detection face classifier
svm-detect-paper
- svm分类检测算法研究，用到opencv相关库，是论文来的，希望能够对所需者有用-svm detect paper
SVM
- VC6.0编写，基于OpenCV的支持向量机分类程序，在400×400的平面上生3类随机样本点，然后给出利用SVM分类的决策面和支持向量-VC6.0 written OpenCV-based support vector machine classification procedures, the plane of 400 × 400 random samples of raw Category 3 points, and then give the decision-making surfac
基于opencv的svm分类识别
- 附件是初始入门学习opencv的SVM简单程序，可以用于了解opencv中关于svm部分的使用，以及训练模块，便于快速上手SVM。开发环境是opencv2.0+vs2008，需要先安装opencv2.0才能够运行看到结果。显示第一个结果后，按回车等待几秒，即可显示分类结果。
HOG-SVM
- 基于opencv实现利用HOG+SVM进行物体分类-Classification of objects using HOG+SVM based on OpenCV
SVM
- 配置opencv库，SVM训练和分类，显示分类结果，和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
SVM源代码
- 基于opencv库，通过计算图像的svm,来对待测图像进行分类(Based on the opencv library, the image is classified by calculating the SVM of the image)
svm
- 使用hog特征进行分类，采用opencv里的svm算法(By using the hog feature,we classfy the face images with svm algorithm.)
Python-opencv车牌识别
- 算法思想来自于网上资源，先使用图像边缘和车牌颜色定位车牌，再识别字符。车牌定位在predict方法中，为说明清楚，完成代码和测试后，加了很多注释，请参看源码。车牌字符识别也在predict方法中，请参看源码中的注释，需要说明的是，车牌字符识别使用的算法是opencv的SVM， opencv的SVM使用代码来自于opencv附带的sample，StatModel类和SVM类都是sample中的代码。SVM训练使用的训练样本来自于github上的EasyPR的c++版本。由于训练样本有限，你测试时会