The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file infe…

an edge-real-time anchor-free object detector with decent performance

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

在RK3588上实现的yolov5+sort目标检测与跟踪（c++版本）

RK3588上实现车辆车牌检测，并输出4个点的landmark，车牌颜色和车牌识别

YoloV8 NPU for the RK3566/68/88

RK3588 模型转换脚本

yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。

基于RK3588的视频采集和目标检测功能 目标监测功能使用 [email protected]:airockchip/rknn-toolkit2.git ，移植了yolov6的demo实现

yolov8pose 部署版本，将DFL放在后处理中，部署rk3588.

在rk3588中使用ffmpeg库文件实现读取usb摄像头

RK3588 camera image acquisition, object detection and image display

Modify Code From rknn-toolkit2

使用rknn实现yolo11在RK3588上

yolov11 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。

YOLOv8目标检测在RK3588的部署与加速

nanotrack c++版本部署rk3588

yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速

SiamFC rk3588 deployment

A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。

This repo mainly contains documents on how to deploy a yolov5 model with tracking algorithm (Sort) on RK3588/RK3588s

python版本基于rk3588的NanoTrack,每秒可达120FPS

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020, Oral)

Track vehicles and persons on rk3588 / rk3399pro.

yolov5模型(.pt)在RK3588(S)上的部署(实时摄像头检测)

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…