opencv闲篇（基于opencv的gpu硬解码）

opencv2.4.9的lib链接库

realse

opencv_calib3d249.lib
opencv_contrib249.lib
opencv_core249.lib
opencv_features2d249.lib
opencv_flann249.lib
opencv_gpu249.lib
opencv_highgui249.lib
opencv_imgproc249.lib
opencv_legacy249.lib
opencv_ml249.lib
opencv_nonfree249.lib
opencv_objdetect249.lib
opencv_ocl249.lib
opencv_photo249.lib
opencv_stitching249.lib
opencv_superres249.lib
opencv_ts249.lib
opencv_video249.lib
opencv_videostab249.lib

debug 

opencv_calib3d249d.lib
opencv_contrib249d.lib
opencv_core249d.lib
opencv_features2d249d.lib
opencv_flann249d.lib
opencv_gpu249d.lib
opencv_highgui249d.lib
opencv_imgproc249d.lib
opencv_legacy249d.lib
opencv_ml249d.lib
opencv_nonfree249d.lib
opencv_objdetect249d.lib
opencv_ocl249d.lib
opencv_photo249d.lib
opencv_stitching249d.lib
opencv_superres249d.lib
opencv_ts249d.lib
opencv_video249d.lib
opencv_videostab249d.lib

opencv的单击获取图片代码

#include<iostream>
#include<opencv.hpp>
using namespace std;
using namespace cv;

//全局函数的声明
Mat frame, left_image, right_image;
void on_MouseHandle(int event, int x, int y, int flags, void *param);
char imageFileName[100];
#define FrameNumber 15
int n = 1;
int m = 1;

int main()
{
    VideoCapture cap(0);
    if (!cap.isOpened())
        return -1;
    // Set the video resolution to HD720 (2560*720)
    cap.set(CV_CAP_PROP_FRAME_WIDTH, 640);
    cap.set(CV_CAP_PROP_FRAME_HEIGHT, 480);
    for (;;)
    {
        // Get a new frame from camera
        cap >> frame;
        // Extract left and right images from side-by-side
        left_image = frame(cv::Rect(0, 0, frame.cols / 2, frame.rows));
        right_image = frame(cv::Rect(frame.cols / 2, 0, frame.cols / 2, frame.rows));
        // Display images    
        //imshow("frame", frame);

        imshow("left", left_image);
        setMouseCallback("left", on_MouseHandle, (void *)&left_image);


        imshow("right", right_image);
        setMouseCallback("right", on_MouseHandle, (void *)&right_image);

        if (waitKey(30) >= 0) break;
    }
    return 0;
}
void on_MouseHandle(int event, int x, int y, int flags, void* param)
{
    Mat& image = *(Mat*)param;

    switch (event)
    {
    case EVENT_LBUTTONDOWN:
    {
        if (m < FrameNumber)
        {
            sprintf_s(imageFileName, "G:\\C++实践指导程序\\UVC捕获\\UVC捕获\\left%d.jpg", m);
            imwrite(imageFileName, image);
            printf("第%d的左相机图片已经完成获取\n", m);
            m++;
        }
        else
        {
            cout << "已经超出采集的最大数量" << endl;
            m = 1;
        }

    }
    break;
    case EVENT_RBUTTONDOWN:
    {
        if (n < FrameNumber)
        {
            sprintf_s(imageFileName, "G:\\C++实践指导程序\\UVC捕获\\UVC捕获\\right%d.jpg", n);
            imwrite(imageFileName, image);
            printf("第%d的右相机图片已经完成获取\n", n);
            n++;
        }
        else
        {
            cout << "已经超出采集的最大数量" << endl;
            n = 1;
        }
    }
    break;
    }
}

opencv关于GPU视频硬解码的思路（已实现验证）

实现验证的博客：http://blog.csdn.net/qq_37837518/article/details/78619800