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.
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
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
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-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
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
svm-code-in-openCV
- Support Vector machine classification implementation in C++ including the library OpenCV-Support Vector machine classification implementation in C++ including the library 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)
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)
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)
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.)
python_face_recog
- 基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
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