wzxzhuxi / rknn-3588-npu-yolo-accelerate
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.
☆63Updated 7 months ago
Alternatives and similar repositories for rknn-3588-npu-yolo-accelerate:
Users that are interested in rknn-3588-npu-yolo-accelerate are comparing it to the libraries listed below
- yolov8 瑞芯微 rknn 板端 C++部署。☆105Updated last year
- 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)☆146Updated last year
- Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.☆96Updated last week
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆68Updated 9 months ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆34Updated last year
- yolov8n 部署版,基于官方的导出onnx脚本导出onnx模型,在不同平台上进行部署测试,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆38Updated 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。☆38Updated last year
- yolov8pose 部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆40Updated last year
- 使用TensorRT加速YOLOv8-Seg,完整的后端框架,包括Http服务器,Mysql数据库,ffmpeg视频推流等。☆82Updated last year
- yolov10 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、运行速度最快的部署方式(全网首发)。☆49Updated 10 months ago
- 🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yol…☆129Updated 11 months ago
- 基于yolov5的C++单目摄像头测距☆34Updated 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。☆33Updated last year
- yolov7 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(caffe、onnx、tensorRT、RKNN、Horzion)。☆32Updated 2 years ago
- C++ inference of YOLOX/YOLOV5/YOLOV8/YOLOV9 for OpenVINO,Support float32、float16 and int8.☆64Updated last year
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆52Updated last month
- pt-->wts-->engine☆143Updated 7 months ago
- RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理☆20Updated last year
- Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!☆62Updated last year
- 使用Opencv中的DNN模块对YOLOv8的所有类型模型,YOLOV9目标检测模型,YOLO11全系列模型进行了推理☆77Updated 6 months ago
- 基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。☆188Updated 10 months ago
- TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例☆275Updated 2 months ago
- ☆82Updated 8 months ago
- The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and…☆298Updated 2 months ago
- Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT …☆68Updated 2 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆109Updated 2 years ago
- An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.☆178Updated last month
- 用OpenVINO对yolov8导出的onnx模型进行C++的推理, 任务包括图像分类, 目标识别和语义分割, 步骤包括图片前处理, 推理, NMS等☆62Updated 11 months ago
- This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code an…☆31Updated 3 months ago
- 分别使用OpenCV、ONNXRuntime部署YOLOX+ByteTrack目标跟踪,包含C++和Python两个版本的程序☆213Updated 3 years ago