C++ OpenCV错误：cvInRangeS中的断言失败（src1.size==dst.size&；dst.type（）==CV_8U）
大家好，我的社区！我使用的是MacBookPro OS X 10.8.5。我从源代码下载了一个构建的opencv，并用一个简单的示例对其进行了测试。它似乎工作得很好。我尽量不使用IDE。相反，我只是在文本编辑器中编写代码，然后从终端进行编译。我用 g++Follow_Ball.cpp-o Follow_BallC++ OpenCV错误：cvInRangeS中的断言失败（src1.size==dst.size&；dst.type（）==CV_8U）,c++,macos,opencv,C++,Macos,Opencv,大家好，我的社区！我使用的是MacBookPro OS X 10.8.5。我从源代码下载了一个构建的opencv，并用一个简单的示例对其进行了测试。它似乎工作得很好。我尽量不使用IDE。相反，我只是在文本编辑器中编写代码，然后从终端进行编译。我用 g++Follow_Ball.cpp-o Follow_Ballpkg配置--cflags--libs opencv 当我这样做时，我没有收到任何错误，但当我尝试运行可执行文件时。“/Follow\u Ball” 它给了我以下的错误 OpenCV错误：
pkg配置--cflags--libs opencv#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
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int main（int argc，char*argv[]）{
//默认捕获大小-640x480
CvSize size640x480=CvSize（640480）；
//打开捕获设备。0是/dev/video0，1是/dev/video1，等等。
//网络摄像机视频流被分配到这个位置
CvCapture*p_Cap网络摄像头；
//指向图像结构的指针。
//这将是网络摄像头输入的图像
IplImage*p_imgOriginal；
//指向image结构的指针
//这将是经过处理的黑白图像
/*Ipl是英特尔IMAGE处理库的缩写。这是标准
在opencv中使用immages的结构*/
IplImage*p_img已处理；
//传递到cvHoughCircles（）中所需的存储变量
CVMEM存储*p_存储；
//指向opencv序列的指针，将由cvHough Circles（）返回，并将包含所有圆
//调用cvGetSeqElem（p_seqCircles，i）将返回第i个圆的3个元素数组（参见下一个变量）
CvSeq*p_seq圆；
//指向浮点数组的3个元素的指针
//[0]=>检测到的对象的x位置
//[1] =>检测到的对象的y位置
//[2] =>检测对象的半径
float*p_fltxydradius；//指向3个元素的浮点数组的指针
int i；//循环计数器
char CHARCHECKFRESCKEY；//获取要转义的char
p_capWebCam=cvCaptureFromCAM（0）；//如果您有多个网络摄像头，您可能不想使用0
//但是，由于我只有一个参数，所以我传递了参数0
//检查网络摄像头是否工作正常
如果（p_capWebCam==NULL）{
printf（“ERROR:capture is NULL”）；//例如，如果未插入网络摄像头，我们将退出该程序
getchar（）；//暂停以便用户看到消息
return（-1）；//退出程序
}
//声明这两个窗口
cvNamedWindow（“原始”，CV_WINDOW_AUTOSIZE）；//来自网络摄像头的原始图像
cvNamedWindow（“已处理”，CV_WINDOW_AUTOSIZE）；//我们将用于检测圆的已处理图像
p_imgProcessed=cvCreateImage（size640x480，//为已处理的窗口创建IMAGE
IPL_DEPTH_8U，1）；//8U是8位无符号的缩写//如果collow使用3，我们使用1表示灰度
//这是灰度图像，因此每个像素可以从0->255灰度
//这是颜色“红-绿-蓝”将是每种颜色的值：我们称之为
//深度
//将fram从cam中抓取并处理的内联while循环
而（1）{//对于每一帧。。。
p_imgOriginal=cvQueryFrame（p_capWebCam）；//从网络摄像机获取帧
//检查帧捕获是否成功
if（p_imgOriginal==NULL）{//if帧未成功捕获
printf（“错误：帧为空\n”）；
getchar（）；
打破
}
// 44:46 http://www.youtube.com/watch?v=2i2bt-YSlYQ&list=PLbqNFa0YhiNBHuQOwalaP5jNGExrmsGOO
cvInRangeS（p_imgOriginal，//函数输入//颜色
CV_RGB（175，0，0），//这是一个宏，我们想在至少175（含175）处捕获一个红球
CV_RGB（255100100），//我们允许一点绿色和蓝色：Redis max 256不包括在内
p_imgProcessed）；//函数输出//黑白
//alocate存储变量
p_strStorage=cvCreateMemStorage（0）；//指定传递int-cvhoughcirles（）所需的存储变量
//现在我们对处理后的图像应用高斯平滑。这将使下一个函数到pic圆更容易
cvSmooth（p_imgProcessed，//函数输入
p_imgProcessed，//函数输出
CV_GAUSSIAN，//使用GAUSSIAN过滤器（平均附近的像素，Closs的亮度更高）
9，//烟雾过滤器窗口宽度
9);
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