This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code and RGA hardware acceleration for image preprocessing, it achieves a stable 25 FPS for YOLOv11s without overclocking or core binding, showcasing efficient real-time object detection for embedded applications.
☆86Dec 27, 2024Updated last year
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