您好 stackoverflow 社区!我使用的是 MacBook Pro OS X 10.8.5。我从源代码下载了一个内置的 opencv，并用一个简单的例子对其进行了测试。它似乎工作正常。我尽量不使用 IDE。相反，我只是在文本编辑器中编写代码并从终端编译。我用
g++ Follow_Ball.cpp -o Follow_Ball pkg-config --cflags --libs opencv
当我这样做时，我没有收到任何错误，但是当我尝试运行可执行文件“./Follow_Ball”时
它给了我以下错误。
OpenCV 错误:断言失败(src1.size == dst.size && dst.type() == CV_8U)在 cvInRangeS，文件/opt/local/var/macports/build/_opt_mports_dports_graphics_opencv/opencv/work/opencv- 2.4.7/modules/core/src/arithm.cpp，第 2972 行 libc++abi.dylib:终止调用抛出异常 中止陷阱:6
附加信息，即可能相关的信息... 我正在尝试使用 MacBook Pro 中内置的网络摄像头 http://www.apple.com/macbook-pro/ 我设置“CvSize size640x480 = cvSize(640,480);”我不确定那是否是我电脑的像素。也许这可能是导致问题的原因？我还注释掉了第 117 行，因为我无法让它工作，而且我认为我不需要它，因为我只在球周围画了一条红线。我对如何调试它有点困惑。
有人可以帮助我吗？我是 opencv 的新手，没有太多关于如何调试它的知识或经验。 感谢你们!
("顺便说一句，我正在学习教程 http://www.lirtex.com/robotics/fast-object-tracking-robot-computer-vision/ ") 这是代码...
#include <opencv/cvaux.h>
#include <opencv/highgui.h>
#include <opencv/cxcore.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>
int main(int argc, char* argv[]){
// Default capture size - 640x480
CvSize size640x480 = cvSize(640,480);
// Open capture device. 0 is /dev/video0, 1 is /dev/video1, etc.
// Web cam video stream is assinged to this
CvCapture *p_capWebCam;
//pointer to an image structure.
//this will be the imput image from webcam
IplImage *p_imgOriginal;
//Pointer to an immage structure
//this will be the processed black and white immage
/* Ipl is short for Intel Immage processing library. This is the standard
structure in opencv to work with immages. */
IplImage *p_imgProcessed;
//Necessary storage variable to pass into cvHoughCircles()
CvMemStorage *p_strStorage;
//pointer to an opencv sequence, will be returned by cvHough Circles() and will contain all circles
// calling cvGetSeqElem(p_seqCircles, i) willreturn 3 element array of i'th circle (see next variable)
CvSeq *p_seqCircles;
//pointer to a 3 element of array of floats
//[0] => x position of detected object
//[1] => y position of detected object
//[2] => Radius of detected object
float *p_fltXYRadius; //pointer to a 3 element array of floats
int i; //loop counter
char charCheckForEscKey; //get char to escape
p_capWebCam = cvCaptureFromCAM(0); //If you have multiple webcams you might not want to use 0
//However, since i have only one i pass the parameter 0
//check if the webcam works
if( p_capWebCam == NULL ){
printf("ERROR: capture is NULL"); //If web cam wasnt plugged in for example we'd exit the program
getchar(); //pause so that user sees the message
return(-1); //exit the program
}
//declare the two windows
cvNamedWindow("Original", CV_WINDOW_AUTOSIZE ); // Origina image from webcam
cvNamedWindow("Processed", CV_WINDOW_AUTOSIZE); // Processed image we will use for detecting circles
p_imgProcessed = cvCreateImage(size640x480, //creates the immage for the Processed window
IPL_DEPTH_8U, 1); //8U is short for 8 bits unsigned //we use 1 for greyscale if collow we use 3
//this is a greyscale immage so each pixel can go from 0->255 greyscale
//it this was color "Red Green Blue" would be a value for each color: well call this
//the depth
// Infinate while loop where fram is grabbed from cam and processed
while(1){ //for each frame...
p_imgOriginal = cvQueryFrame(p_capWebCam); //get frame from webcam
//check to see if the frame capture was sucessfull
if(p_imgOriginal == NULL){ //if frame was not capture sucessfully
printf("ERROR: frame is NULL \n" );
getchar();
break;
}
// 44:46 http://www.youtube.com/watch?v=2i2bt-YSlYQ&list=PLbqNFa0YhiNBHuQOwalaP5jNGExrmsGOO
cvInRangeS(p_imgOriginal, //function input //color
CV_RGB(175, 0 , 0), //this is a macro, we want to capture a red ball at atleast 175 inclusive
CV_RGB(255, 100, 100), //we allow a bit of green and blue: Redis max 256 not inclusive
p_imgProcessed ); //function output //black and white
//alocate storage variable
p_strStorage = cvCreateMemStorage(0); //alocate necessary storage variable to pass int cvHoughCirlces()
//now we apply agousian smoothing to the processed image. this will make it easyer for next func to pic circles
cvSmooth(p_imgProcessed, //function input
p_imgProcessed, //function output
CV_GAUSSIAN, //Use Gaussian filter (averages nearby pixels, with closses having more wheight)
9, //Smothing filter window width
9); //Smoothing filter window height
//imigin a 9x9 box in the input immage it does stuff smooths out the output
//fills a sequential structure with all circles in a processed immgage
p_seqCircles = cvHoughCircles( p_imgProcessed, //input: hast to be greyscale "no color"
p_strStorage, //Needs this we need not know why. passing this makes func ret pointer
CV_HOUGH_GRADIENT , //Only option for this, two pass algorithim for detecting circles
2, // size of this image/ (this value) = accumulator immage
p_imgProcessed->height/4, //min distance in pixels between centers of detected circles
100, //high threshold of Cany edge detector, called by cvHoughCircles
50, //low threshold of Cany edge detector, called by cvHoughCircles
10, //Minimub circle radius
400); //max circle radius
for(i = 0; i < p_seqCircles->total; i++){ //for each element in sequential circles structure( i.e. for each object detected)
p_fltXYRadius = (float*)cvGetSeqElem(p_seqCircles, i); //from the sequential struct, read the i'th value into a pointer to a float
printf("ball position x = %f, y = %f, r = %f \n", p_fltXYRadius[0], //x position at center of circle
p_fltXYRadius[1], //y position at center of circle
p_fltXYRadius[2]); //radius of circle
//draw a small green circle at center of detected object
cvCircle(p_imgOriginal, //draw on the original image
cvPoint(cvRound(p_fltXYRadius[0]), cvRound(p_fltXYRadius[1])), // center point of circle
3, //3 pixel radius of circle
CV_RGB(0, 255, 0), //draw pure green
CV_FILLED); //thickness, fill in the circle
/* this draws a circle around second ball but i dont need it
//draw a red circle around a detected object
cvCircle(p_imgOriginal, //draw on the original image
cvPoint(cvRound(p_fltXYRadius[0]), cvRound(p_fltXYRadius[1])), // center point of circle
cvRound(p_fltXYRadius[2], //radius of the circle in pixels
CV_RGB(255, 0, 0), //draw pure red
3); //thickness of circle in pixels
*/
}// end of for loop
//now we just need to show the images that we already generated
cvShowImage("Original", p_imgOriginal); //original circle with detectec ball overlay
cvShowImage("Processed", p_imgProcessed); //image after processing
cvReleaseMemStorage(&p_strStorage); //release what we alocated earlyer
charCheckForEscKey = cvWaitKey(10); //delay in ms, and get key press, if any
if( charCheckForEscKey == 27) break; // if ascii 27 was pressed jump out of while loop
}// end of while
cvReleaseCapture(&p_capWebCam);
cvDestroyWindow("Original");
cvDestroyWindow("Processed");
return(0);
}// end of program
最佳答案
谢谢，我能够修复原来是像素的错误。我插入了以下代码来动态查找像素大小
CvCapture * camera = cvCreateCameraCapture (CV_CAP_ANY);
IplImage * current_frame = cvQueryFrame (camera);
CvSize size640x480 = cvSize(current_frame->width, current_frame->height); //tried 640, 480 : 600,500 : 500,600
关于c++ - OpenCV 错误 : Assertion failed (src1. size == dst.size && dst.type() == CV_8U) in cvInRangeS，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/20004724/