opencv_traincascade训练分类器，手势识别。

opencv_traincascade 训练方法，参考本人的博客：Here；

xml和video下载地址：Here。

测试代码：

代码语言：javascript复制

#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>


using namespace std;
using namespace cv;

// Global variables
// Copy this file from opencv/data/haarscascades to target folder
string face_cascade_name = "/Users/liupeng/Desktop/my/handDetection/handDetection/hand.xml";
CascadeClassifier *face_cascade;
string window_name = "Capture - Face detection";
int filenumber; // Number of file to be saved
string filename;

// Function Headers
class faceDetection
{
private:
    std::vector<Rect> faces;
public:
    faceDetection();
    ~faceDetection();
    void detectAndDisplay(Mat frame);
};
faceDetection::faceDetection()
{
}
faceDetection::~faceDetection()
{
}

// Function detectAndDisplay
void faceDetection::detectAndDisplay(Mat frame)
{
    // 报错问题所在，。
    // std::vector<Rect> faces;
    
    Mat frame_gray;
    Mat crop;
    Mat res;
    Mat gray;
    string text;
    stringstream sstm;
    
    cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
    equalizeHist(frame_gray, frame_gray);
    
    // Detect faces
    face_cascade->detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
    
    // Set Region of Interest
    cv::Rect roi_b;
    cv::Rect roi_c;
    
    size_t ic = 0; // ic is index of current element
    int ac = 0; // ac is area of current element
    
    size_t ib = 0; // ib is index of biggest element
    int ab = 0; // ab is area of biggest element
    
    for (ic = 0; ic < faces.size(); ic  ) // Iterate through all current elements (detected faces)
        
    {
        roi_c.x = faces[ic].x;
        roi_c.y = faces[ic].y;
        roi_c.width = (faces[ic].width);
        roi_c.height = (faces[ic].height);
        
        ac = roi_c.width * roi_c.height; // Get the area of current element (detected face)
        
        roi_b.x = faces[ib].x;
        roi_b.y = faces[ib].y;
        roi_b.width = (faces[ib].width);
        roi_b.height = (faces[ib].height);
        
        ab = roi_b.width * roi_b.height; // Get the area of biggest element, at beginning it is same as "current" element
        
        if (ac > ab)
        {
            ib = ic;
            roi_b.x = faces[ib].x;
            roi_b.y = faces[ib].y;
            roi_b.width = (faces[ib].width);
            roi_b.height = (faces[ib].height);
        }
        
        crop = frame(roi_b);
        resize(crop, res, Size(128, 128), 0, 0, INTER_LINEAR); // This will be needed later while saving images
        cvtColor(crop, gray, CV_BGR2GRAY); // Convert cropped image to Grayscale
        
        // Form a filename
        filename = "";
        stringstream ssfn;
        ssfn << filenumber << ".png";
        filename = ssfn.str();
        filenumber  ;
        
        // imwrite(filename, gray);
        
        Point pt1(faces[ic].x, faces[ic].y); // Display detected faces on main window - live stream from camera
        Point pt2((faces[ic].x   faces[ic].height), (faces[ic].y   faces[ic].width));
        rectangle(frame, pt1, pt2, Scalar(0, 255, 0), 2, 8, 0);
    }
    
    // Show image
    sstm << "Crop area size: " << roi_b.width << "x" << roi_b.height << " Filename: " << filename;
    text = sstm.str();
    
    putText(frame, text, cvPoint(30, 30), FONT_HERSHEY_COMPLEX_SMALL, 0.8, cvScalar(0, 0, 255), 1, CV_AA);
    imshow("original", frame);
    // waitKey();
    
    if (!crop.empty())
    {
        imshow("detected", crop);
        // waitKey();
    }
    else
        destroyWindow("detected");
    
}



int main(int argc, char* argv[])
{
    faceDetection *face;
    face = new faceDetection;
    // Load the cascade
    face_cascade = new CascadeClassifier;
    if (!face_cascade->load(face_cascade_name)){
        printf("--(!)Error loadingn");
        return (-1);
    }
    
    cvNamedWindow("Camera" , CV_WINDOW_AUTOSIZE );
    
    // 开启摄像头。
    // CvCapture* capture = cvCreateCameraCapture(CV_CAP_ANY);
    // 读取视频文件夹。
    CvCapture* capture = cvCreateFileCapture("/Users/liupeng/Desktop/my/handDetection/handDetection/hand.mp4");
    
    assert(capture != NULL);
    
    IplImage *frame = 0;
    
    while(1)
    {
        frame = cvQueryFrame(capture);
        if(!frame) break;
        
        face->detectAndDisplay((Mat)frame);
        
        char c = cvWaitKey(15);
        if(c == 27)  break;
    }
    
    cvReleaseCapture(&capture);
    cvReleaseImage( &frame);
    
    
    return (int)0;
}

xml opencv video 博客

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