Leverage Hardware Acceleration

[Blindspot22]

Description:

• Implement hardware acceleration techniques to offload processing tasks to the GPU, improving the overall performance of the application.

Implementation Steps:

• Identify components of the system that can benefit from GPU acceleration, such as background subtraction, contour detection, and video decoding.
• Integrate GPU-accelerated libraries (e.g., OpenCV’s CUDA modules, Vulkan) into the Rust project, ensuring compatibility with the existing pipeline.
• Implement fallbacks for systems that do not support GPU acceleration, allowing the application to run on both high-end and low-end hardware.
• Test the GPU-accelerated version of the application on compatible hardware, comparing its performance to the CPU-only version.
• Document the requirements and setup process for enabling hardware acceleration, making it easy for users to take advantage of this feature.