drabaioli

#include <opencv2/opencv.hpp>
#include <opencv2/core/ocl.hpp>

int main( int argc, char ** argv )
{
  cv::VideoCapture cap;
  cv::Mat frame;

  constexpr int FILTER_SIZE = 3;
  const std::string windowName{ "Filter image" };

drabaioli

#ifndef CIRCULAR_BUFFER_H
#define CIRCULAR_BUFFER_H

#include <array>

// Array-based push-only circular buffer.

// Sample usage:
//
// CircularBuffer<int, 3> buff;

drabaioli

#include <opencv2/opencv.hpp>

cv::Mat imageCollage( std::vector<cv::Mat> & array_of_images, int M, int N )
{
  // All images should be the same size
  const cv::Size images_size = array_of_images[0].size();
  // Create a black canvas
  cv::Mat image_collage( images_size.height * N, images_size.width * M, CV_8UC3, cv::Scalar( 0, 0, 0 ) );

  for( int i = 0; i < N; ++i )

drabaioli

#include <opencv2/opencv.hpp>

std::vector<cv::Mat> splitImage( cv::Mat & image, int M, int N )
{
  // All images should be the same size ...
  int width  = image.cols / M;
  int height = image.rows / N;
  // ... except for the Mth column and the Nth row
  int width_last_column = width  + ( image.cols % width  );
  int height_last_row   = height + ( image.rows % height );

drabaioli

#include <opencv2/opencv.hpp>

int main( int argc, char ** argv )
{
  cv::VideoCapture cap;
  cv::Mat frame;

  const std::string windowName{ "RTP Capture" };
  cap.open( "udpsrc port=5000 caps = \"application/x-rtp, media=(string)video, clock-rate=(int)90000, encoding-name=(string)H264, payload=(int)96\" ! rtph264depay ! decodebin ! videoconvert ! appsink", cv::CAP_GSTREAMER );

drabaioli

#include <opencv2/opencv.hpp>

int main( int argc, char ** argv )
{
  cv::VideoCapture cap;
  cv::Mat frame;

  const std::string windowName{ "RTP Stream" };
  cap.open( 0 );
  cap.set( cv::CAP_PROP_FRAME_WIDTH, 640 );