| You should escalate in difficulty levels. GPU Programming is infinite and will always take more of your time than you plan.
With escalation you could get positive feedback fast. 2D image filtering is extremely complex for a beginner. Start drawing a graph of thousands of numbers with the CPU. Easy enough, but harder than it looks. Accelerate the graph with the GPU so it has smooth animation, moving, zooming... Easy enough but way harder that it looks. Take a sound sample, uncompress it and visualize in your graph system. Easy? Take the sample and filter it with CUDA. Way easier filtering a 1D sample than 2D samples. Play the filtered sound to "feel it". Then you can filter 2D images if you want. I recommend the graphic interface Dear Imgui:
https://github.com/ocornut/imgui
https://github.com/ocornut/imgui/issues/1902 Way faster development time than any other (states)interface with the disadvantage that it continuously draws in the screen consuming energy. Well worth it for rapid prototyping. |