I am brand new to CUDA and OpenGL and I have found that tutorials and resources on a lot of this material is rather scares or not straight forward so I am hoping I can get some assistance here. I am working on a project attempting to convert some CUDA and OpenGL C++ code over to Python. The code is a basic Kernal that computes distance from a point (To emulate light on a wall from a flashlight) and sends the calculated array to OpenGL to display the light intensity. You can move your mouse/"Flashlight" around to move the light around on the screen. I have been successful in converting the Kernal code over to Python using the Numba python package. What I am having trouble with is the Open GL Interoperability stuff. I can't really find an info that describes the process of interop in a simple fashion so I'm not really even sure what the setup process is. It sounds like you need to create something called a pixel buffer and send that to the kernal. From what I can tell the C++ code uses this simple function to do this.

// texture and pixel objects
GLuint pbo = 0;
GLuint tex = 0
struct cudaGraphicsResource * cuda_pbo_resource;

void render() {
unchar4 *d_out = 0;
cudaGraphicsMapResources(1, &cuda_pbo_resource, 0);
cudaGraphicsResourceGetMappedPointer((void**)&d_out, NULL,
cuda_pbo_resource);
kernelLauncher(d_out, W, H, loc);
cudaGraphicsUnmapResources(1, &cuda_pbo_resource, 0);
}


I can't find any info that describes the python equivalent of cudaGraphicsMapResources, cudaGraphicsResourceGetMappedPointer, and cudaGraphicsUnmapResources. I've found a GL interop example by  by Peter Berrington (https://wiki.tiker.net/PyCuda/Examples/GlInterop) but it seems to me to be overly complicated in how it creates PBO's and textures and such when compared to the C++ code.