aemior / yolov8n_rk3588Links
☆40Updated 2 years ago
Alternatives and similar repositories for yolov8n_rk3588
Users that are interested in yolov8n_rk3588 are comparing it to the libraries listed below
Sorting:
- 海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5☆31Updated 2 years ago
- simple yolov5 rtspserver for rk3588☆60Updated 6 months ago
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆74Updated last year
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆68Updated 8 months ago
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆22Updated 2 years ago
- ☆29Updated 3 years ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆114Updated 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)☆157Updated 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
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆28Updated 2 years ago
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated 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 2 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆124Updated 3 years ago
- yolov8s在rk3588的推理部署,并使用多线程池并行npu推理加速☆51Updated last year
- yolov5 detector using rockchip rknn in C++☆42Updated 3 years ago
- 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。☆39Updated 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)。☆52Updated last year
- 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☆28Updated last year
- PyTorch-->ONNX-->RKNN☆127Updated 3 years ago
- ☆23Updated 3 years 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.☆79Updated 6 months ago
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆46Updated 3 years ago
- yolov7-tensorrtx☆36Updated 3 years ago
- This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code an…☆59Updated 11 months ago
- 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
- YoloV8 NPU for the RK3566/68/88☆78Updated last year
- RK3588 Debian11环境下实现yolov5-face的推理实现,包括Python和C++实现。主要依赖RKNPU2 SDK和rknn_toolkit_lite2☆24Updated last year
- 基于hisi3559a的yolov5☆37Updated 3 years ago
- RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆23Updated 3 years ago
- 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☆103Updated last year