An end-to-end, reproducible example of taking an object-detection model → extracting/quantizing weights → building an HLS accelerator → integrating it in Vivado → deploying it on a Kria KV260 → running a Linux userspace application that produces correct detections. Validated end-to-end with YOLOv2 INT16 on KV260.
What is the solomontesema/yolo-fpga-accelerator GitHub project? Description: "An end-to-end, reproducible example of taking an object-detection model → extracting/quantizing weights → building an HLS accelerator → integrating it in Vivado → deploying it on a Kria KV260 → running a Linux userspace application that produces correct detections. Validated end-to-end with YOLOv2 INT16 on KV260.". Written in C. Explain what it does, its main use cases, key features, and who would benefit from using it.
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