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How to compile an opencv c++ code using linaro arm-gcc cross-compiler I'm trying to cross-compile a simple OpenCV 4.1.2

I"m trying to use the OpenCV VideoCapture class to read images sequentially from a specific folder, as shown in the code below, which is extracted from https://www.kevinhughes.ca/tutorials/.... The reading works just fine and I can view the video streaming of the read images (imgSrc) correctly. The problem happens when I try to copy each frame into a new Mat object using nested for loops, the new image (imgDst) is different from the original one. I attached the results of the frame below. I did try using image.clone() and it worked perfectly, however, it is not an option for me, as I need to read the image on a pixel-by-pixel basis. Is there anything I am doing wrong so that I get this weird result? I'm reading 16 bit png images, but I assume that the VideoCapture is changing this in some way, could this really be the issue ?

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace std;

void help(char** argv)
{
cout << "\nThis program gets you started reading a sequence of images using cv::VideoCapture.\n"
     << "Image sequences are a common way to distribute video data sets for computer vision.\n"
     << "Usage: " << argv[0] << " <path to the first image in the sequence>\n"
     << "example: " << argv[0] << " right%%02d.jpg\n"
     << "q,Q,esc -- quit\n"
     << "\tThis is a starter sample, to get you up and going in a copy paste fashion\n"
     << endl;
}

int main(int argc, char** argv)
{
if(argc != 2)
{
  help(argv);
  return 1;
}

string arg = argv[1];
VideoCapture sequence(arg);
if (!sequence.isOpened())
{
  cerr << "Failed to open Image Sequence!\n" << endl;
  return 1;
}

Mat imgSrc; // source image
for(;;)
{
  sequence >> imgSrc;

if(imgSrc.empty())
  {
      cout << "End of Sequence" << endl;
      break;
  }
  Mat imgDst = cv::Mat::zeros(cv::Size(imgSrc.size().width,imgSrc.size().height),CV_16U);


  // Copying the elements of imgSrc to imgDst
  uint16_t* imgSrcPtr;
  uint16_t* imgDstPtr;
  for(int i = 0; i < imgSrc.rows; i++)
  {
      imgDstPtr = imgDst.ptr<uint16_t>(i);
      imgSrcPtr = imgSrc.ptr<uint16_t>(i);

       for(int j= 0; j < imgSrc.cols; j++)
       imgDstPtr[j] = imgSrcPtr[j];
  }

  namedWindow("Source image ",WINDOW_AUTOSIZE );

  namedWindow("Destination image ",WINDOW_AUTOSIZE );
  imshow("Destination image ", imgDst);
  waitKey(0;

return 0;
}

How to cross compile OpenCV for ARM-linux in windows ? How can I use Cmake GUI in 64-bits windows to Cross-compile OpenC

How to cross compile OpenCV for ARM-linux in windows ? How can I use Cmake GUI in 64-bits windows to Cross-compile OpenC

Ok, I installed OpenCV 4.12 I'm getting this new error error: 'Mutex' is not a member of 'cv' and a bench of other error

How can I resolve conflicting declaration 'typedef uint32_t uint' ? I'm using OpenCV 3.2.0 compiled for eclipse using Mi

How can I resolve conflicting declaration 'typedef uint32_t uint' ? I'm using OpenCV 3.2.0 compiled for eclipse using Mi

Using imread function with the flag IMREAD_UNCHANGED in the same manner solved the problem, I can now read the images se

Alright, I'm not really familiar with strings in c++, so can you tell me how can I format the path to my images, in orde

The fact is that I'm using OpenCV only to facilitate the reading and writing operations, I'm really concerned with perfo

I converted the read frames from color to grayscale and this solved the problem. However, I would like to know whether I

I converted the read frames from color to grayscale and this solved the problem, however, I would like to know whether I

So, although my images are grayscale, the VideoCapture is reading them as if they were in color space, is there anyway t

the output of imgSrc.type() at runtime is 16

How to copy frames read by videoCapture I"m trying to use the OpenCV VideoCapture class to read images sequentially from

I am trying to test the OpenCV classes stereoBM and StereoSGBM classes. when compiling the code below using

g++ main.cpp -o app pkg-config --cflags --libs opencv I get this error, fatal error: opencv2/contrib/contrib.hpp: No such file or directory

I am using Ubuntu 18.04 on an ARM platform (ODROID-XU4), and I have installed OpenCV version 3.2 using Synaptic Package Manager. The libraries are installed as indicated in the picture. However, I cannot locate contrib.hpp

#include "opencv2/core/core.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "opencv2/contrib/contrib.hpp"  
#include <stdio.h>
#include <string.h>
using namespace cv;
using namespace std;
int main(int argc, char* argv[])
{
Mat g1, g2;
Mat disp, disp8;
char* method = argv[3];
g1 = imread(argv[1]);
g2 = imread(argv[2]);
//cvtColor(img1, g1, CV_BGR2GRAY);
//cvtColor(img2, g2, CV_BGR2GRAY);

if (!(strcmp(method, "BM")))
{
    StereoBM sbm;
    sbm.state->SADWindowSize = 9;
    sbm.state->numberOfDisparities = 112;
    sbm.state->preFilterSize = 5;
    sbm.state->preFilterCap = 61;
    sbm.state->minDisparity = -39;
    sbm.state->textureThreshold = 507;
    sbm.state->uniquenessRatio = 0;
    sbm.state->speckleWindowSize = 0;
    sbm.state->speckleRange = 8;
    sbm.state->disp12MaxDiff = 1;
    sbm(g1, g2, disp);
}
else if (!(strcmp(method, "SGBM")))
{
    StereoSGBM sbm;
    sbm.SADWindowSize = 3;
    sbm.numberOfDisparities = 144;
    sbm.preFilterCap = 63;
    sbm.minDisparity = -39;
    sbm.uniquenessRatio = 10;
    sbm.speckleWindowSize = 100;
    sbm.speckleRange = 32;
    sbm.disp12MaxDiff = 1;
    sbm.fullDP = false;
    sbm.P1 = 216;
    sbm.P2 = 864;
    sbm(g1, g2, disp);
}


normalize(disp, disp8, 0, 255, CV_MINMAX, CV_8U);

imshow("left", g1;
imshow("right", g2);
imshow("disp", disp8);

waitKey(0);

return(0);
}

@break Thanks for the remark, the code in the link you listed compiled successfully, however, it's a little bit confusin

Thanks for the remark, the code in the link you listed compiled successfully, however, it's a little bit confusing and I

stereoBM and SGBM not working I am trying to test the OpenCV classes stereoBM and StereoSGBM classes. when compiling the