yolo-fpga-accelerator

yolo-fpga-accelerator

solomontesema

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.

3 Stars
0 Forks
3 Watchers
C Language
other License
60.1 SrcLog Score
Cost to Build
$714.3K
Market Value
$575.3K

Growth over time

3 data points  ·  2026-04-11 → 2026-04-25
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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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