OpenCV遇到cv :: FAST问题

Question

我正在尝试使用开放式CV FAST算法来检测视频输入中的角点.方法调用和设置似乎很简单,但我遇到了一些问题.当我尝试使用此代码时

  while(run)
{
    clock_t begin,end;
    img = cvQueryFrame(capture);

    key = cvWaitKey(10);


    cvShowImage("stream",img);
    //Cv::FAST variables
    int threshold=9;
    vector<KeyPoint> keypoints;

    if(key=='a'){
        //begin = clock();


        Mat mat(tempImg);

        FAST(mat,keypoints,threshold,true);
        //end = clock();
        //cout << "\n TIME FOR CALCULATION: " << double(diffClock(begin,end)) << "\n" ;

    }

我收到此错误:

OpenCV错误:断言失败(image.data && image.type()== CV_8U)未知函数,文件........\ocv\opencv\src\cvaux\cvfast.cpp,第6039行

所以我认为它的图像深度有问题所以当我添加这个时:

    IplImage* tempImg = cvCreateImage(Size(img->width,img->height),8,1);
        cvCvtColor(img,tempImg,CV_8U);

我明白了:

OpenCV错误:未知函数中的通道数量不正确(此转换代码的通道数不正确),文件........\ocv\opencv\src\cv\cvcolor.cpp,第2238行

我已经尝试使用Mat而不是IplImage捕获但我一直遇到同样的错误.

有什么建议或帮助吗？提前致谢.

整个文件只是为了让任何人都更容易:

    #include "cv.h"
    #include "cvaux.hpp"
    #include "highgui.h"

    #include <time.h>
    #include <iostream>



    double diffClock(clock_t begin, clock_t end);

    using namespace std;
    using namespace cv;

    int main(int argc, char** argv)
    {
//Create Mat img for camera capture 
IplImage* img;
bool run = true;

CvCapture* capture= 0;
capture = cvCaptureFromCAM(-1);
int key =0;
cvNamedWindow("stream", 1);

while(run)
{
    clock_t begin,end;
    img = cvQueryFrame(capture);

    key = cvWaitKey(10);


    cvShowImage("stream",img);
    //Cv::FAST variables
    int threshold=9;
    vector<KeyPoint> keypoints;

    if(key=='a'){
        //begin = clock();
        IplImage* tempImg = cvCreateImage(Size(img->width,img->height),8,1);
        cvCvtColor(img,tempImg,CV_8U);

        Mat mat(img);

        FAST(mat,keypoints,threshold,true);
        //end = clock();
        //cout << "\n TIME FOR CALCULATION: " << double(diffClock(begin,end)) << "\n" ;

    }
    else if(key=='x'){
        run= false;
    }
}
cvDestroyWindow( "stream" );
return 0;

}

Answer 1

每当您使用OpenCV API时遇到问题,请查看源代码中提供的测试/示例:fast.cpp

这种做法非常有用和有教育意义.现在,如果您查看该代码,您会注意到图像在调用之前会转换为灰度cv::FAST():

Mat mat(tempImg);
Mat gray;
cvtColor(mat, gray, CV_BGR2GRAY);
FAST(gray,keypoints,threshold,true);

事实上看起来非常直截了当.