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here is the code

int train_ellen(vector<mat>& images) {

Mat image=imread("ellen1.jpg", CV_LOAD_IMAGE_GRAYSCALE);

if(image.empty) {images.push_back(image); labels.push_back(0);} else return 0; image=imread("ellen2.jpg", CV_LOAD_IMAGE_GRAYSCALE); if(image.data) {images.push_back(image); labels.push_back(1);} else return 0; image=imread("ellen3.jpg", CV_LOAD_IMAGE_GRAYSCALE); if(image.data) {images.push_back(image); labels.push_back(2);} else return 0; for(int i=0; i < images.size(); i++) {

 resize(images[i],images[0],images[0].size(),1.0,1.0, INTER_NEAREST );
}

model->train(images, labels);
return 1;

} all three images are in the project folder.

here is the code

int train_ellen(vector<mat>& images) {

Mat image=imread("ellen1.jpg", CV_LOAD_IMAGE_GRAYSCALE);

if(image.empty) {images.push_back(image); labels.push_back(0);} {images.push_back(image);

labels.push_back(0);

}

else return 0; image=imread("ellen2.jpg", CV_LOAD_IMAGE_GRAYSCALE); if(image.data) {images.push_back(image); { images.push_back(image); labels.push_back(1);} else return 0; image=imread("ellen3.jpg", CV_LOAD_IMAGE_GRAYSCALE); if(image.data) {images.push_back(image); labels.push_back(2);} else return 0; for(int i=0; i < images.size(); i++) {

 resize(images[i],images[0],images[0].size(),1.0,1.0, INTER_NEAREST );
}

model->train(images, labels);
return 1;

} all three images are in the project folder.

here is the code

int train_ellen(vector<mat>& train_ellen(vector<Mat>& images)
{
{

   Mat image=imread("ellen1.jpg", CV_LOAD_IMAGE_GRAYSCALE);
 
Mat image=imread("ellen1.jpg", CV_LOAD_IMAGE_GRAYSCALE);
 
 if(image.empty)
   {images.push_back(image);{images.push_back(image);
     labels.push_back(0);
   }
 
labels.push_back(0);
 
}
 
 else
   return 0;
   image=imread("ellen2.jpg", CV_LOAD_IMAGE_GRAYSCALE);
   if(image.data)
   {
images.push_back(image); 
labels.push_back(1);}
   else
   return 0;
   image=imread("ellen3.jpg", CV_LOAD_IMAGE_GRAYSCALE);
   if(image.data)
   {images.push_back(image); labels.push_back(2);}
   else
   return 0;
   for(int i=0; i < images.size(); i++)
   {{
  
  resize(images[i],images[0],images[0].size(),1.0,1.0, INTER_NEAREST );
 }

 model->train(images, labels);
 return 1;
}
 
}
all three images are in the project folder.