Biswesh's profile - activity

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/ml/ml.hpp>
#include <iostream>
#include <dirent.h>
#include <iostream>
#include <string.h>
#include <stdlib.h>
#include <sstream>
#include <vector>
#include<unistd.h>
#include "opencv2/opencv.hpp"

using namespace cv;
using namespace std;

int main(int argc, char ** argv)
{


int img_area=17280;
int len=0;
float x=1;
int y,z;
int m;
int g=1;
int j =1;

Mat img1;
Mat trainmat2;

float labels[100];

for (int l=0; l<100; l++ )
{
if((l+1) % 10 == 1 && l != 0)
{
 x = x+1;
}
labels[l]=x;

}

Mat labelsMat(100,1,CV_32FC1, labels);

struct dirent *pDirent;
DIR *pDir;
pDir = opendir("/home/bapi/workspace/pics");

if(pDir != NULL)
{
while((pDirent = readdir(pDir))!=NULL)
{
if ((strcmp(pDirent->d_name,".")!=0) && (strcmp(pDirent->d_name,"..")!=0) && (strcmp(pDirent->d_name,"Thumbs.db")!=0))
{ 
len=len+1;
}
}
}
closedir (pDir);

cv::Mat trainmat((len),img_area,CV_32FC1);

Mat trainmat1;


cv::Mat img;
cv::Mat img2;
cv::Mat img3;

cv::Mat pred;


for (int i=1;i<=len;i++)
{
int Number = i;
string Result;
stringstream convert; 

convert << Number;

Result = convert.str();

std::string name("/home/bapi/workspace/pics/");
name += Result;
name += ".jpg";


img2=imread(name,CV_LOAD_IMAGE_GRAYSCALE);
img2.convertTo(img,CV_32FC1);




if(i==1)
{
trainmat=img.reshape(0,1);


}
else
{

trainmat.push_back(img.reshape(0,1));

}
}


CvParamGrid CvParamGrid_C(pow(2.0,-5), pow(2.0,15), pow(2.0,2));
CvParamGrid CvParamGrid_gamma(pow(2.0,-15), pow(2.0,3), pow(2.0,2));
if (!CvParamGrid_C.check() || !CvParamGrid_gamma.check())
    cout<<"The grid is NOT VALID."<<endl;
CvSVMParams param;
param.kernel_type = CvSVM::RBF;
param.svm_type = CvSVM::C_SVC;
param.term_crit = cvTermCriteria(CV_TERMCRIT_ITER,100,0.000001);
CvSVM SVM;
SVM.train_auto(trainmat, labelsMat, Mat(), Mat(), param,10, CvParamGrid_C, CvParamGrid_gamma, CvSVM::get_default_grid(CvSVM::P), CvSVM::get_default_grid(CvSVM::NU), CvSVM::get_default_grid(CvSVM::COEF), CvSVM::get_default_grid(CvSVM::DEGREE), true);

cout<<"gamma:"<<param.gamma<<endl;
cout<<"C:"<<param.C<<endl;



return 0;
}

       #include "opencv2/highgui/highgui.hpp" 
       #include <iostream> 
       #include "opencv2/opencv.hpp" 
       using namespace cv; 
       using namespace std; 
        int main(int, char**) 
      { VideoCapture capturo(0); 
      Mat img1, img2; 
      int input; 
      namedWindow("Image 1",CV_WINDOW_AUTOSIZE); 
      namedWindow("Image 2",CV_WINDOW_AUTOSIZE); 
     for(;;){ 
     char input = cvWaitKey(33);
     if(input == 27) break;
     if (input == 49)
    { img1= capturo.grab();
        cv::imshow("Image 1",img1); }
      if (input == 50){ 
      img2= capturo.grab(); 
      cv::imshow("Image 2",img2); } } 
       return 0; }

Please tell what am I doing wrong here. I guess the first few frames is not read so the error is coming up. Can you please give a solution for this?

I have tried to use the following code to do the above task: Can you say what did I do wrong?

#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/ml/ml.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace std;
using namespace cv;

int main(int argc, char** argv)
{
VideoCapture cap("/home/bapi/workspace/%03d.jpg");
int img_files= 2;
int img_area=250000;
int k=0;

Mat trainmat(img_files,img_area,CV_32FC1);

Mat image_mat;
Mat gray;

for(;;)
{
cap >> image_mat;
cvtColor(image_mat,gray,CV_BGR2GRAY);
if(gray.empty())

{
cout << "end of sequence" << std::endl;
return -1;
}

int ii=0;

for (int i=0; i<gray.rows; i++)

{
   for (int j=0; j<gray.cols; j++)
{
   trainmat.at<float>(k,ii++) = gray.at<uchar>(i,j);


}

}

k=k+1;
}
cout << trainmat << endl;

}

We are working on a project where we're trying to detect the hand gestures of the mute people. Can you tell the best and the fastest way for that? Is it the canny or using classifiers or background subtraction? Please comment. Your help is much valuable for our team.