搜索资源列表
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.
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
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
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
SVM
- 使用SVM实现人脸检测,能够帮助初学者了解SVM的原理-face detection by using svm，which can help seniors to learn SVM
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-test
- 这是SVM+水平竖直直方图特征的车牌字符识别。包括汉字、字母、数字的识别。-This is SVM+ horizontal vertical histogram license plate character recognition. Including Chinese characters, letters, numerals.
SVM-image-classification--OpenCV--
- 基于SVM与BoW的图片分类的OpenCV实现，从外国网站下载的-SVM-based image classification with BoW OpenCV implementation from foreign website
HOG-SVM-train
- HOG+SVM对于正负样本训练过程，根据样本生产对应的支持向量机，便于人体检测-HOG，SVM train samples，support Vector
SVM
- 一个自己封装的SVM类，可以实现对正负样品图片的剪切，分类器的训练，利用原来的文件测试分类器，利用一段视频测试分类器，同时也可以完成分类器的引用，同时SVM的训练参数可调。-Reference to a category of their own package of SVM, can achieve the image on the positive and negative samples of shear, training a classifier, using the original
Support-Vector-Machines(SVM)
- 支持向量机（SVM）的实现代码和步骤，共包括五个步骤，每一步都有详细的说明。-Support Vector Machine (SVM) implementation code and procedures, including a total of five steps, each step in detail.
libsvm-3.22
- SVM LIBRARIE FOR PYTHON DEVELOPPERS
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)
libsvm-3.0
- 经典的SVM代码，可以用于学习，优化后的C++代码(Classic SVM code that can be used to learn and optimize the C++ code)