yuunnn-w / rknn-cpp-yoloView external linksLinks
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.
☆68Dec 27, 2024Updated last year
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