Qengineering/YoloV10-NPU
YoloV10 NPU for the RK3566/68/88
This project helps you identify and locate objects within images or video streams using powerful AI models. It takes live camera feeds or static image files as input and outputs bounding boxes and labels for detected objects, such as cars, people, or specific items. It is designed for engineers and developers working on embedded systems that use Rockchip's RK3566, RK3568, or RK3588 NPUs to create efficient, real-time object detection applications.
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Use this if you need high-performance, real-time object detection on specialized Rockchip NPU hardware for embedded computer vision applications.
Not ideal if you are looking for a general-purpose object detection solution for desktop GPUs, cloud environments, or different embedded hardware platforms.
Stars
20
Forks
3
Language
C++
License
BSD-3-Clause
Category
Last pushed
Jun 19, 2024
Commits (30d)
0
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