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[Graph Recognize] SVR_B22 DL : 1: 一个非常不错的识别简单验证码的小软件，欢迎有需要的朋友下载测试-A very good of the simple validate the software, welcome to friends of downloading the test
Date : 2025-12-25 Size : 207kb User : 戚斌
[Graph Recognize] PeopleDensitydll DL : 2: 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
Date : 2025-12-25 Size : 4.54mb User : 徐云华
[Graph Recognize] libsvm-3.22 DL : 0: LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式识别问题。(LIBSVM National Taiwan University Lin Zhiren (Lin Chih-Jen) is a simple, easy to use SVM pattern recognition and regression and effective software development and design Professor package, he not only provides the compiled in Windows series system executable file, also provides the source code, easy to modify and improve, in other operating system. The application of the software; parameters involved in the regulation of SVM is relatively small, with a lot of the default parameters, these default parameters can solve many problems; and provides interactive test (Cross Validation) function. This software can solve the problem of C-SVM, V -SVM, e -SVR and V -SVR, which is based on a multi class pattern recognition algorithm on a problem.)
Date : 2025-12-25 Size : 773kb User : 黄小豆