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 inference, with a maximum inference frame rate of up to 100 frames per second.
☆427Jul 31, 2025Updated 7 months ago
Alternatives and similar repositories for rk3588-yolo-demo
Users that are interested in rk3588-yolo-demo are comparing it to the libraries listed below
Sorting:
- 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)。☆709Apr 9, 2024Updated last year
- 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)。☆350May 7, 2023Updated 2 years ago
- ☆2,289Apr 9, 2025Updated 11 months ago
- ☆23Dec 6, 2024Updated last year
- ☆2,748Jul 29, 2025Updated 7 months ago
- rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.☆85May 15, 2025Updated 10 months ago
- Track vehicles and persons on rk3588 / rk3399pro.☆454Apr 8, 2023Updated 2 years ago
- yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。☆74Jul 18, 2024Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署。☆114Jan 12, 2024Updated 2 years ago
- 瑞芯微芯片的rknn推理框架部署(yolo模型)☆13Jul 17, 2025Updated 8 months ago
- yolov8 旋转目标检测部署，瑞芯微RKNN芯片部署、地平线Horizon芯片部署、TensorRT部署☆27Jun 4, 2024Updated last year
- yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速☆64Nov 15, 2024Updated last year
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆272Mar 9, 2026Updated last week
- YoloV8 NPU for the RK3566/68/88☆85Jun 19, 2024Updated last year
- FFmpeg with async and zero-copy Rockchip MPP & RGA support☆1,120Mar 12, 2026Updated last week
- This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code an…☆70Dec 27, 2024Updated last year
- yolov8n 167fps on rk3588 with python(running without draw and show imgs)☆15May 6, 2024Updated last year
- NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite☆314Sep 6, 2024Updated last year
- ☆1,123Mar 25, 2024Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署，使用平台 rk3588，全网最简单、运行最快的部署方式。☆40Jan 15, 2024Updated 2 years ago
- yolov8n 部署版本，后处理用python语言和C++语言形式进行改写，便于移植不同平台 （onnx、tensorRT、RKNN、Horzion）☆157Jan 12, 2024Updated 2 years ago
- RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理☆21Nov 6, 2023Updated 2 years ago
- 针对于ai_framefork的测试demo☆66Feb 12, 2026Updated last month
- ☆12Aug 8, 2024Updated last year
- simple yolov5 rtspserver for rk3588☆70Mar 4, 2026Updated 2 weeks ago
- ☆11Aug 8, 2024Updated last year
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆48Sep 27, 2022Updated 3 years ago
- Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX. And Export the ONNX model for AXera's NPU☆11Aug 11, 2025Updated 7 months ago
- yolov5模型(.pt)在RK3588(S)上的部署(实时摄像头检测)☆62Apr 25, 2023Updated 2 years ago
- Easy Training Official YOLOv11、YOLOv10、YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!☆144Aug 26, 2025Updated 6 months ago
- ☆522Nov 19, 2025Updated 4 months ago
- ☆1,312Mar 12, 2026Updated last week
- 海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5☆32Sep 17, 2023Updated 2 years ago
- TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例☆322Feb 10, 2025Updated last year
- yolov8seg 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。☆29May 8, 2024Updated last year
- ☆29Jun 2, 2022Updated 3 years ago
- 在RK3588上实现的yolov5+sort目标检测与跟踪（c++版本）☆13May 28, 2024Updated last year
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆144Jul 22, 2022Updated 3 years ago
- yolov11（yolov8）尝试了7种不同的部署方法，并对每种方法的优势进行了简单总结。不同的平台、不同的时耗或CPU占用需求，总有一种方法是适用的。针对想入门部署的也是一个很好的参考学习资料。☆49Jan 31, 2025Updated last year