我正在尝试在 c++ 中使用 opencv 检测对象，但出现错误：project1.exe 中 0x52f9e470 处的未处理异常：0xC000001D：非法指令。
使用 windows 7 32 位，opencv 2.4.3，visual studio (c++) 2010，我的代码是：
#include <opencv\cv.h>
#include <opencv\highgui.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#include <float.h>
#include <limits.h>
#include <time.h>
#include <ctype.h>
// Create a string that contains the exact cascade name
// Contains the trained classifer for detecting hand
const char *cascade_name="D:/31dec12/hand.xml";
//The function detects the hand from input frame and draws a rectangle around the detected portion of the frame
void detect_and_draw( IplImage* img )
{
// Create memory for calculations
static CvMemStorage* storage = 0;
// Create a new Haar classifier
static CvHaarClassifierCascade* cascade = 0;
// Sets the scale with which the rectangle is drawn with
int scale = 1;
// Create two points to represent the hand locations
CvPoint pt1, pt2;
// Looping variable
int i;
// Load the HaarClassifierCascade
cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );
// Check whether the cascade has loaded successfully. Else report and error and quit
if( !cascade )
{
fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
return;
}
// Allocate the memory storage
storage = cvCreateMemStorage(0);
// Create a new named window with title: result
cvNamedWindow( "result", 1 );
// Clear the memory storage which was used before
cvClearMemStorage( storage );
// Find whether the cascade is loaded, to find the hands. If yes, then:
if( cascade )
{
// There can be more than one hand in an image. So create a growable sequence of hands.
// Detect the objects and store them in the sequence
CvSeq* hands = cvHaarDetectObjects( img, cascade, storage,
1.1, 2, CV_HAAR_DO_CANNY_PRUNING,
cvSize(40, 40) );
// Loop the number of hands found.
for( i = 0; i < (hands ? hands->total : 0); i++ )
{
// Create a new rectangle for drawing the hand
CvRect* r = (CvRect*)cvGetSeqElem( hands, i );
// Find the dimensions of the hand,and scale it if necessary
pt1.x = r->x*scale;
pt2.x = (r->x+r->width)*scale;
pt1.y = r->y*scale;
pt2.y = (r->y+r->height)*scale;
// Draw the rectangle in the input image
cvRectangle( img, pt1, pt2, CV_RGB(230,20,232), 3, 8, 0 );
}
}
// Show the image in the window named "result"
cvShowImage( "result", img );
}
// A Simple Camera Capture Framework
int main()
{
// Gets the input video stream from camera
CvCapture* capture = cvCaptureFromCAM( CV_CAP_ANY );
// Checks if the input stream is obtained
if( !capture )
{
fprintf( stderr, "ERROR: capture is NULL \n" );
getchar();
return -1;
}
// Show the image captured from the camera in the window and repeat
while( 1 )
{
// Get one frame
IplImage* frame = cvQueryFrame( capture );
// Cecks if a frame is obtained
if( !frame )
{
fprintf( stderr, "ERROR: frame is null...\n" );
getchar();
break;
}
// Flips the frame into mirror image
cvFlip(frame,frame,1);
// Call the function to detect and draw the hand positions
detect_and_draw(frame);
//If ESC key pressed, Key=0x10001B under OpenCV 0.9.7(linux version),
//remove higher bits using AND operator
if( (cvWaitKey(10) & 255) == 27 )
break;
}
// Release the capture device housekeeping
cvReleaseCapture( &capture );
return 0;
}