PROSAGA码农传奇-模式识别-修复视频FPS opencv？

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  <P>
    哦!循环内的所有动作和内存分配。试试这个：
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   <pre>
    <code>
      int _tmain(int argc, _TCHAR* argv[]){

VideoCapture cap(0);
    cap.open("file.mp4"); //read the video

if (!cap.isOpened())
    {
        cout << "Cannot open the video cam" << endl;
        return -1;
    }
    double Width = cap.get(CV_CAP_PROP_FRAME_WIDTH);
    double Height = cap.get(CV_CAP_PROP_FRAME_HEIGHT);

cvNamedWindow("MyVideo", CV_WINDOW_AUTOSIZE);

Mat frame;
    Mat blur, crop;
    Mat mask(720, 1280, CV_8UC3, cv::Scalar(0, 0, 0));
    Mat gray, changeToBlack;
    Mat black_image(gray.size(), CV_8U, Scalar(255));
    Mat thres, tes;
    Mat erosi, dilasi, open, close, tophat;
    Mat kernel = Mat(3, 3, CV_8UC1, Scalar(1));
    Mat im_with_keypoints;

SimpleBlobDetector::Params params;
    // Change thresholds
    params.minThreshold = 0;
    params.maxThreshold = 255;

params.filterByColor = true;
    params.blobColor = 255;

// Filter by Area.
    params.filterByArea = true;
    params.minArea = 5 ;
    // Filter by Circularity
    params.filterByCircularity = true;
    params.minCircularity = 0.1;

// Filter by Convexity
    params.filterByConvexity = true;
    params.minConvexity = 0.87;

// Filter by Inertia
    params.filterByInertia = true;
    params.minInertiaRatio = 0.01;

vector<KeyPoint> keypoints;
    Ptr<SimpleBlobDetector> detector = SimpleBlobDetector::create(params);

while (cap.read(frame))
    {
    //crop the image with the pixel i want
        GaussianBlur(frame, blur, Size(15, 15), 0); //blur the image
        Point corners[1][4];
        corners[0][0] = Point(550, 30); //top left
        corners[0][1] = Point(250, 700); //bottom left
        corners[0][2] = Point(1100, 700); //bottom right
        corners[0][3] = Point(600, 30); //top right
        const Point* corner_list[1] = { corners[0] };
        int num_points = 4;
        int num_polygons = 1;
        int line_type = 8;
        fillPoly(mask, corner_list, &num_points, num_polygons, cv::Scalar(255, 255, 255), line_type);
        bitwise_and(blur, mask, crop);//combine the image

cvtColor(crop, gray, COLOR_BGR2GRAY); //grayscale citra
        inRange(gray, Scalar(0), Scalar(0), changeToBlack);
        black_image.copyTo(gray, changeToBlack);

threshold(gray, tes, 51, 255, THRESH_BINARY_INV); //threshold citra and 51 set value

morphologyEx(tes, erosi, MORPH_ERODE, kernel, Point(-1, -1), 3);
        morphologyEx(erosi, dilasi, MORPH_DILATE, kernel, Point(-1, -1), 20);

detector->detect(dilasi, keypoints);

drawKeypoints(dilasi, keypoints, im_with_keypoints, Scalar(205, 0, 0), DrawMatchesFlags::DRAW_RICH_KEYPOINTS);

imshow("gray", frame);
        imshow("MyVideo", im_with_keypoints);

if (waitKey(1) == 27)
        {
            cout << "esc key is pressed by user" << endl;
            break;
        }
    }
    return 0;
}

</code>
  </pre>
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