MontaukLaw / yolov5_3588_multi_threadLinks
启动多线程, relu激活, 3588的yolo部署, 帧率150以上.
☆21Updated last year
Alternatives and similar repositories for yolov5_3588_multi_thread
Users that are interested in yolov5_3588_multi_thread are comparing it to the libraries listed below
Sorting:
- 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.☆75Updated 4 months ago
- 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)。☆53Updated last year
- ☆28Updated 3 years ago
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆73Updated 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
- 基于hisi3559a的yolov5☆36Updated 3 years ago
- RKNN模型推理部署模板☆23Updated 2 years ago
- 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
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated last year
- ☆40Updated 2 years ago
- simple yolov5 rtspserver for rk3588☆56Updated 3 months ago
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆46Updated 2 years ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆36Updated last year
- ☆15Updated last year
- rk3568的推理+推流☆16Updated 9 months ago
- 海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5☆31Updated 2 years ago
- C++版本的sort算法,可无缝添加在检测器后进行实时多目标跟踪☆12Updated 2 years ago
- yolov5 detector using rockchip rknn in C++☆41Updated 2 years ago
- UNetMultiLane 多车道线和车道线类型识别部署版本,测试不同平台部署(onnx、tensorRT、RKNN、Horzion),可识别所在的车道和车道线的类型。☆28Updated last year
- rknn inference☆47Updated 3 years 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☆28Updated last year
- yolov8obb 旋转目标检测部署rknn的C++代码☆18Updated last year
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆27Updated last year
- ☆102Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署。☆113Updated last year
- yolov8pose 部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆41Updated 2 years ago
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆65Updated 6 months ago
- 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。☆85Updated last year
- 海思nnie跑yolov5☆26Updated 3 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆118Updated 3 years ago