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

基于OPENCV，用于生成训练用负样本的工具，将输入图像批量按特定大小截取，保存。-Based on OPENCV, used to generate the training with the tool of negative samples, the input image according to the specific batch size interception, save.