leafqycc / rknn-multi-threadedLinks
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)。
☆333Updated 2 years ago
Alternatives and similar repositories for rknn-multi-threaded
Users that are interested in rknn-multi-threaded 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)。☆657Updated last year
- The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and…☆384Updated 2 months ago
- Track vehicles and persons on rk3588 / rk3399pro.☆432Updated 2 years ago
- NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite☆257Updated last year
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆255Updated last week
- ☆142Updated 9 months ago
- ☆1,047Updated last year
- ☆1,890Updated 6 months ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆113Updated last year
- This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code an…☆55Updated 9 months ago
- ☆766Updated last year
- YOLOv10: Real-Time End-to-End Object Detection☆16Updated last year
- yolov8s在rk3588的推理部署,并使用多线程池并行npu推理加速☆46Updated 11 months ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆121Updated 3 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)☆157Updated last year
- ☆72Updated last month
- yolov5模型(.pt)在RK3588(S)上的部署(实时摄像头检测)☆59Updated 2 years ago
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆66Updated 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.☆77Updated 5 months ago
- ☆2,211Updated 2 months ago
- Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.☆260Updated last week
- ☆49Updated 2 years ago
- This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.☆379Updated 3 months ago
- YoloV8 NPU for the RK3566/68/88☆76Updated last year
- ☆21Updated 2 years ago
- 高性能 高精度 大陆车牌、港澳车牌、台湾车牌 韩国车牌(South Korea LPR)识别 代码开源,方便移植嵌入式和安卓端使用,支持12种车牌识别,支持港澳车牌识别 ,支持大角度车牌识别,准确率高达99%+☆435Updated last week
- ☆262Updated 2 years ago
- YoloV5 NPU for the RK3566/68/88☆115Updated last year
- ☆916Updated last year
- yolov8n 目标检测部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon),全网部署最简单、速度最快的部署方式。☆46Updated last year