Opencv未處理異常使用cvCretateImage（）

Question

我有下面的代碼。是一個開放式的實時邊緣檢測，但我在網上有一個錯誤：pProcessedFrame = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U, 1);

「在0x00007FF6CAF1284C未處理異常opencv2.exe：0000005：訪問衝突讀取位置0x000000000000002C。」

有人可以解決這個問題嗎？

我的配置是的Visual Studio 2013和OpenCV 2.4.10

#include <iostream> 
#include "opencv/cv.h" 
#include "opencv/highgui.h" 
using namespace std; 

// Define the IplImage pointers we're going to use as globals 
IplImage* pFrame; 
IplImage* pProcessedFrame; 
IplImage* tempFrame; 

// Slider for the low threshold value of our edge detection 
int maxLowThreshold = 1024; 
int lowSliderPosition = 150; 

// Slider for the high threshold value of our edge detection 
int maxHighThreshold = 1024; 
int highSliderPosition = 250; 

// Function to find the edges of a given IplImage object 
IplImage* findEdges(IplImage* sourceFrame, double thelowThreshold, double theHighThreshold, double theAperture) 
{ 
    // Convert source frame to greyscale version (tempFrame has already been initialised to use greyscale colour settings) 
    cvCvtColor(sourceFrame, tempFrame, CV_RGB2GRAY); 

    // Perform canny edge finding on tempframe, and push the result back into itself! 
    cvCanny(tempFrame, tempFrame, thelowThreshold, theHighThreshold, theAperture); 

    // Pass back our now processed frame! 
    return tempFrame; 
} 

// Callback function to adjust the low threshold on slider movement 
void onLowThresholdSlide(int theSliderValue) 
{ 
    lowSliderPosition = theSliderValue; 
} 

// Callback function to adjust the high threshold on slider movement 
void onHighThresholdSlide(int theSliderValue) 
{ 
    highSliderPosition = theSliderValue; 
} 

int main(int argc, char** argv) 
{ 
    // Create two windows 
    cvNamedWindow("WebCam", CV_WINDOW_AUTOSIZE); 
    cvNamedWindow("Processed WebCam", CV_WINDOW_AUTOSIZE); 

    // Create the low threshold slider 
    // Format: Slider name, window name, reference to variable for slider, max value of slider, callback function 
    cvCreateTrackbar("Low Threshold", "Processed WebCam", &lowSliderPosition, maxLowThreshold, onLowThresholdSlide); 

    // Create the high threshold slider 
    cvCreateTrackbar("High Threshold", "Processed WebCam", &highSliderPosition, maxHighThreshold, onHighThresholdSlide); 

    // Create CvCapture object to grab data from the webcam 
    CvCapture* pCapture; 

    // Start capturing data from the webcam 
    pCapture = cvCaptureFromCAM(CV_CAP_V4L2); 

    // Display image properties 
    cout << "Width of frame: " << cvGetCaptureProperty(pCapture, CV_CAP_PROP_FRAME_WIDTH) << endl;  // Width of the frames in the video stream 
    cout << "Height of frame: " << cvGetCaptureProperty(pCapture, CV_CAP_PROP_FRAME_HEIGHT) << endl; // Height of the frames in the video stream 
    cout << "Image brightness: " << cvGetCaptureProperty(pCapture, CV_CAP_PROP_BRIGHTNESS) << endl;  // Brightness of the image (only for cameras) 
    cout << "Image contrast: " << cvGetCaptureProperty(pCapture, CV_CAP_PROP_CONTRAST) << endl;   // Contrast of the image (only for cameras) 
    cout << "Image saturation: " << cvGetCaptureProperty(pCapture, CV_CAP_PROP_SATURATION) << endl;  // Saturation of the image (only for cameras) 
    cout << "Image hue: " << cvGetCaptureProperty(pCapture, CV_CAP_PROP_HUE) << endl;   // Hue of the image (only for cameras) 

    // Create an image from the frame capture 
    pFrame = cvQueryFrame(pCapture); 

    // Create a greyscale image which is the size of our captured image 
    pProcessedFrame = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U, 1); 

    // Create a frame to use as our temporary copy of the current frame but in grayscale mode 
    tempFrame = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U, 1); 

    // Loop controling vars 
    char keypress; 
    bool quit = false; 

    while (quit == false) 
    { 
     // Make an image from the raw capture data 
     // Note: cvQueryFrame is a combination of cvGrabFrame and cvRetrieveFrame 
     pFrame = cvQueryFrame(pCapture); 

     // Draw the original frame in our window 
     cvShowImage("WebCam", pFrame); 

     // Process the grame to find the edges 
     pProcessedFrame = findEdges(pFrame, lowSliderPosition, highSliderPosition, 3); 

     // Showed the processed output in our other window 
     cvShowImage("Processed WebCam", pProcessedFrame); 

     // Wait 20 milliseconds 
     keypress = cvWaitKey(20); 

     // Set the flag to quit if escape was pressed 
     if (keypress == 27) 
     { 
      quit = true; 
     } 

    } // End of while loop 

    // Release our stream capture object to free up any resources it has been using and release any file/device handles 
    cvReleaseCapture(&pCapture); 

    // Release our images 
    cvReleaseImage(&pFrame); 
    cvReleaseImage(&pProcessedFrame); 
    // This causes errors if you don't set it to NULL before releasing it. Maybe because we assign 
    // it to pProcessedFrame as the end result of the findEdges function, and we've already released pProcessedFrame!! 
    tempFrame = NULL; 
    cvReleaseImage(&tempFrame); 

    // Destory all windows 
    cvDestroyAllWindows(); 
} 

Answer 1

謝謝大家。我找到了解決方案，我的攝像頭沒有捕獲圖像，我換到另一臺攝像頭，現在代碼運行良好。