pnm | ppm image IO for modern C

You need to only select the .subtot input inside the current table you're in before updating it. Try this.

You are accessing NMLVCUSTOMDRAW from the wrong lParam.

In a ListView's NM_CUSTOMDRAW notification, the wParam is always 0, and the lParam is a NMLVCUSTOMDRAW*, but you are casting that to NMLISTVIEW* instead, which is wrong. There is no NMLISTVIEW provided in NM_CUSTOMDRAW. And even if there were, the NMLISTVIEW::lParam field contains the ListView item's user-defined data, as set by the application via LVM_SETITEM/ListView_SetItem(). So that is not what you want anyway.

You need to cast pCWP->lParam directly to NMLVCUSTOMDRAW* instead. And only for a SysListView32 control. A SysHeader32 control uses NMCUSTOMDRAW* instead, eg:

Because of OR you misused. Should have probably been

Perhaps something like this

I finally got it working and the trick behind the solution is simple.

Creating the PNMServie (i.e the WebServiceClient) also attempts a connection with the WS. This would inevitably fail because of my header restrictions.

So all I had to do was create the WebServiceClient without actually attempting the connection until I can set the headers.

You seem to be running configure from "msys" subsystem of MSYS2 which is a POSIX-like system not meant to be used for compilation.

You should launch mingw64.exe or mingw32.exe instead to build native MSW software using MinGW and then configure should work just fine there.

The version of ImageMagick that you are using is too old. You will need to upgrade to at least the version below but I would advise you to upgrade to the latest version.

You were unable to move the declaration int array[2000][2000]; into global scope, because you are using using namespace std;.

The using namespace std; statement instructs the compiler to import all names found in the namespace std into the global namespace, so that you can use them directly (e.g. string) instead of accessing them through their namespace (e.g. std::string).

This is often discouraged, see this question, and you have a perfect example of why here.

Since C++11, there is a class template named array in the standard library namespace std, see reference for std::array.

That means array already may have a meaning in global scope. Then you try to declare a variable with the name array and the compiler doesn't know anymore whether array is supposed to refer to the variable you declared or the class template imported from the standard library namespace. Thus the error message.

To resolve this, use a different name for your variable array, or better, don't use using namespace std; and qualify all your references to the standard library with std::.

UPDATE 21-Oct-19: Deprecated Git/Simpler Way in favor of new AndroidOpenCVGradlePlugin

UPDATE 22-May-18: Added missing step number 6.

UPDATE 10-May-17: New solution provides proper integration of OpenCV into application with CMake and Android Gradle plugin 2.3.1. Tested using Android Studio 2.3.1.

UPDATE 11-May-17: An additional solution has been provided

There are two ways of including OpenCV.

Using AndroidOpenCVGradlePlugin

Visit https://github.com/ahasbini/AndroidOpenCVGradlePlugin for more details.

Git/Simpler Way

Visit https://github.com/ahasbini/Android-OpenCV for more details.

Manual/Advanced Way

To include OpenCV libraries into Android Studio Project, its best to create a new Library Module in the project and port the files from OpenCV Android SDK bundle into it:

1. Create a new module by selecting File>New Module.
2. Select "Android Library", and then enter the details:
   • Library name: OpenCV
   • Module name: opencv
   • Package name: org.opencv
3. Once the new module created, copy the contents of path_to_opencv_sdk/sdk/java/src directory into path_to_your_project/opencv/src/main/java.
4. Under main, create the following directly path: aidl/org/opencv/engine and move main/java/org/opencv/engine/OpenCVEngineInterface.aidl into it.
5. Copy the contents of path_to_opencv_sdk/sdk/java/res into path_to_your_project/opencv/src/main/res.
6. Create sdk folder inside path_to_your_project/opencv/src/ and copy path_to_opencv_sdk/sdk/native folder into it.
7. Within the opencv module, create CMakeLists.txt file and add the following lines in the following order: