Balaji R's profile - activity

Just for the sake of completion I'm adding this answer. #include "opencv2/opencv.hpp" int main(int, char**) { cv::

Feature Detection Module output not matching with Optimization mode Enabled Hi all, I'm working with 3D Reconstruction

I want to know the pixel id of the Mat element using cv::Mat::forEach position parameter. I read the documentation here and tried the following code!

Code:

typedef cv::Point_<uchar> Pixel;
struct Operator {
    void operator ()(Pixel &pixel, const int * position) const 
    {           
        cout << format("[%d,%d]= %d \n",position[0],position[1],(int)pixel.x);      
    }
};

int main( int argc, char* argv[])
{    
    Mat mTest(Size(3, 2), CV_8UC1,Scalar(0));   
    randn(mTest,Scalar(125),Scalar(125));

    cout<< format (" Size : %d , %d \n",mTest.rows,mTest.cols);

    for (int Rows = 0; Rows < mTest.rows; Rows++)
    {
        for (int Cols = 0; Cols < mTest.cols; Cols++)
        {
            cout << format("[%d,%d]= %d \t",Rows,Cols,mTest.at<uchar>(Rows,Cols));
        }
        cout << "\n";
    }
    cout << "\n\n";

    mTest.forEach<Pixel>(Operator());

    waitKey();

    return 0;
}

Output:

 Size : 2 , 3
[0,0]= 125      [0,1]= 145      [0,2]= 37
[1,0]= 71       [1,1]= 255      [1,2]= 90


[0,0]= 125
[1,0]= 71
[0,1]= 37
[0,2]= 255
[1,1]= 90
[1,2]= 0
Press any key to continue . . .

As you can see there is a mismatch in the Actual Pixel ID and the Position parameter ID! So how to use the position parameter correctly?

Note: I've just noted that there is a different method described in the documentation

i.e forEachWithPosition but it is not available now?

sorry your question is not clear! Do you want to find the min & max value of a HSL image? or a BGR Image? Are you co

Have you checked this? https://docs.opencv.org/3.0-beta/doc/tutorials/core/file_input_output_with_xml_yml/file_input_out

Actually it is not recommended to pre-process the input image before finding the corners, because this will alter the co

@berak Thanks for the update! You are Right!!

Opencv does not support Y16 format! You need to modify the source code to add Y16 support.

The camera is not working I'm new and just starting to learn OpenCV. The camera is not initialized during image capture

You can store and then restore various OpenCV data structures to/from XML. Refer this

Should we report this bug?

Looks like you are getting max error in terms of 1.25E-06.

@LBerger Thank you for your comments. I've disabled all the optimizations in both the places. Still the results are same

@LBerger Thank you for your comments. I've disabled all the optimizations in both the places. Still the results are same

@LBerger Thank you for your comments. I've disabled all the optimizations in both the places. Still the results are same

@LBerger Thank you for your comments. I've disabled all the optimizations in both the places. Still the results are same

Memory leaking c++ w/VS12 Hello everyone, I am trying to create a simple program to load an image (6398*1080) and have

Numerical Stability of solvePoly I'm working with OpenCV 5 point Essential Matrix Computation Algorithm and I'm facing N

Numerical Stability of solvePoly I'm working with OpenCV 5 point Essential Matrix Computation Algorithm and I'm facing N

Numerical Stability of solvePoly I'm working with OpenCV 5 point Essential Matrix Computation Algorithm and I'm facing N

@prabzz " didn't get result" is not a useful answer! Please explicitly specify your problem!

"current output and desired output" Please update these images also.

Please share your input image ,current output and desired output! Please try to make a complete code.

without seeing your actual calibration images it is difficult to identify your problem!

Please read this useful post! https://stackoverflow.com/questions/12794876/how-to-verify-the-correctness-of-calibration-

That's definitely because of bad calibration! Calibrate your stereo camera again!

why don't you try it and come back if you have any specific issue?

I think you have already posted here and got the answers. What else do you need?

"I tried with houghLine but its not really accurate" Can you show us the results so that we can help further?

I'm sorry your answer is based on Color based segmentation! But the OP question was about Texture based segmentation! e.

Could you please add the complete code (including the Pre-processing step)? In my opinion you should find Hough Line Tr

The world is moving towards Deep Neural Networks! Why not try those? 1 2

The world is moving towards Deep Neural Networks! Why not try those? 1 2

I would say comparing contours is unnecessary here! You can find Lines in the Two Images and compare its x,y Co-Ordinat

your Image and this code makes no sense! Could you please add the complete code (including the Pre-processing step)? In