Opencv Visual studio 2017 simple hack installation

This tutorial shows you how to use and install OpenCV 3 + in Visual Studio 2017. It is more hack than a proper install. Using Nuget packages in the package console is a simple installation of opencv without setting environmental variables and additional troubles with installation. All Visual Studio Versions need its own build of Opencv library also the Nuget packages. VS 2012 needs a version of libs V110. If you match the following pictures together you have my point.. VC12 libs is a version of Visual Studio 2013. VC14 is a lib version of Visual Studio 2015. Finally, Visual Studio 2017 needs a platform toolset and lib version V141. In OpenCV prebuild libs we need to wait for VC141. Hopefully. I never get the point of this naming convention. Visual studio year and V140 141 110 120 but. The current release is more confusing than the others.

The best approach is to set the toolset in the Visual Studio project to V140 and use a prebuilt version of Opencv libs for VS 2015 or use Nuget packages in a simple 2 minutes installation also for version 2015 and enjoys coding in Visual Studio 2017 until somebody solves and builds the libs in VS 2017. 

Follow and enjoy coding. Building your own opencv is necessary in cases using the embedded and specific HW. In the case of coding on Windows its better to wait for prebuild libs than install CMake on a Windows machine. 

The previous steps are really simple. Just open an empty project in C++ and add one source file source. cpp. There is no magic and nothing to block you from starting coding. Just follow the pictures and let me know if any problems occur. 

Add some programs, for example, to capture video from a web camera. If you try to build and link. You will fail with no resolve dependency. Now is the time to add. Opencv library. Nuget is the simplest option.

#include "opencv2\highgui.hpp"
#include "opencv2\imgproc.hpp"
#include "opencv2\objdetect\objdetect.hpp"
#include "opencv2\videoio\videoio.hpp"
#include "opencv2\imgcodecs\imgcodecs.hpp"
#include <vector>
#include <stdio.h>
#include <Windows.h>
#include <iostream>
using namespace cv;
using namespace std;

int main(int argc, const char** argv)
{
 VideoCapture cap(0);
 for (;;) {
  if (!cap.isOpened()) {
   cout << "Video Capture Fail" << endl;
   break;
  }
  else {
   Mat img;
   cap >> img;
   namedWindow("Image", WINDOW_AUTOSIZE);
   imshow("Image", img);
   int key2 = waitKey(20);
  }
 }
 return 0;
}