我一直试图用OpenCV形成一个小的光流示例。一切正常,除了函数调用calcOpticalFlowPyrLK,它在控制台窗口中打印以下失败的断言:
OpenCV错误:断言失败(mytype == typ0 ||(CV_MAT_CN(mytype)== CV_MAT_CV(type0)&&((1<<< type0)& fixedDepthMask)!= 0))未知函数,文件...... \ src \ opencv \ modules \ core \ src \ matrix.cpp,第1421行
我正在解析的视频分为300张图片,标记为" caml00000.jpeg"," caml00001.jpeg",...," caml00299.jpeg&#34 ;.这是我写的代码:
#include <cv.h>
#include "opencv2/highgui/highgui.hpp"
using namespace cv;
using namespace std;
int main( int argc, char** argv ){
char buff[100];
int numFrames=300;
char fileFormat[]="images/caml%05d.jpeg";
string winname="Test Window";
vector<Mat> imgVec(numFrames);
auto itrImg=begin(imgVec);
auto itrEnd=end(imgVec);
vector<Point2f> featuresPrevious;
vector<Point2f> featuresCurrent;
namedWindow( winname, CV_WINDOW_AUTOSIZE );
int fileNum=0;
while(itrImg!=itrEnd){
Mat& imgRef=*itrImg; //get this frame's Mat from the vector iterator
//Calculate the name of the file;
sprintf(buff,fileFormat,fileNum);
string fileName=buff;
//string fileName="kitty.jpg"; //attempted using a static picture as well
cout << fileName << endl;
Mat cImage=imread(fileName, CV_LOAD_IMAGE_GRAYSCALE);
cImage.convertTo(imgRef, CV_8U); //also tried CV_8UC1
featuresPrevious=std::move(featuresCurrent);
goodFeaturesToTrack(imgRef,featuresCurrent,30, 0.01, 30); //calculate the features for use in next iteration
if(!imgRef.data){ //this never executes, so there isn't a problem reading the files
cout << "File I/O Problem!" << endl;
getchar();
return 1;
}
if(fileNum>0){
Mat& lastImgRef=*(itrImg-1); //get the last frame's image
vector<Point2f> featuresNextPos;
vector<char> featuresFound;
vector<int> err;
calcOpticalFlowPyrLK(lastImgRef,imgRef,featuresPrevious,featuresNextPos,featuresFound,err); //problem line
//Draw lines connecting previous position and current position
for(size_t i=0; i<featuresNextPos.size(); i++){
if(featuresFound[i]){
line(imgRef,featuresPrevious[i],featuresNextPos[i],Scalar(0,0,255));
}
}
}
imshow(winname, imgRef);
waitKey(1000/60); //not perfect, but it'll do
++itrImg;
++fileNum;
}
waitKey(0);
return 0;
}
我唯一知道的关于这个例外的事情是它是由于Mats采用不同的格式引起的,但是我尝试过阅读静态图像(参见上面的代码&#34; kitty.jpg& #34;)我仍然得到同样失败的断言。有什么想法吗?
答案 0 :(得分:8)
将行vector<char> featuresFound;
更改为vector<uchar> featuresFound;
,将vector<int> err;
更改为Mat err;
我无法解释原因,但这就是必须要做的事情。
编辑: 正如@Sluki在评论中所说的那样 - 错误的向量必须存储在浮点精度std :: vector或cv :: Mat中。