搜索资源列表
jpeg_tamper_detect
- 此工程是基于jpeg重压缩检测的篡改区域定位的opencv的svm分类器应用程序,可以检测出经过PS或者美图秀秀修改过的jpeg重压缩图片的篡改区域。-This project is based on jpeg recompression tamper detection area positioning opencv of svm classification application, or can be detected through the PS beauties Xiu Xiu mod
svm_gesture_recognition
- 基于opencv的手势识别 1、hog : hog特征提取 2、hogTainer : 样本训练,利用了SVM方式 3、gestureRecognition : 手势识别,利用了训练得出的线性分类器进行识别分类 训练样本在hog文件夹中,对应gesture_a到gesture_e ,五种手势-Gesture recognition 1, hog: hog feature extraction 2, hogTainer: sample training, t
HOGPSVM_opencv_detection
- 在vs2013平台下,利用opencv中的HOG特征加SVM分类器进行车标识别。-In the VS2013 platform, the use of opencv in the HOG feature SVM classifier for vehicle identification.
INRIAHogLbpLabel
- 本方法是hog+lbp+svm来判断是否为行人,函数库为opencv,代码为C++,hog是opencv自带的,lbp为均匀模式,59维度,训练样本为INRIA数据集-opencv lbp svm president detection inria data
Chapter5_NumberPlateRecognition
- 该工程是深入理解OpenCV第五章基于SVM和神经网络的车牌识别的源码。-The project is in-depth understanding of OpenCV Chapter 5 based on SVM and neural network license plate recognition source.
HOG
- 将这330个3780维的HOG特征当做测试样本,用支持向量机(SVM)分类器来判别出,这些窗口的HOG特征是否有行人,有行人的用矩形框标记起来。HOG行人特征及所对应的SVM分类器的参数,在opencv中已经训练好了,我们只需要得到HOG特征,然后调用SVM即可得到判别结果(The 330 Hera features of 3780 dimensions are used as test samples, and the support vector machine (SVM) classifi
opencv_SVM_Application_20180103
- 使用JNI ,cmake 方式 移植 opencv 3.3.1 中的SVM到安卓上,用于支持向量机的 监督分类 本地此目录下需要这个opencv的安卓SDK代码: set(OpenCV_DIR D:/Code_December_12/opencv-3.3.1-android-sdk/OpenCV-android-sdk/sdk/native/jni)(Using JNI, cmake transplant SVM to Android in the transplanted opencv 3