Alternatives and similar repositories for rknn-yolov8s-multi-thread-inference

Users that are interested in rknn-yolov8s-multi-thread-inference are comparing it to the libraries listed below

• 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.
  ☆74Updated 3 months ago
• cqu20160901 / yolov11_dfl_rknn_Cplusplus
  yolov11 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆64Updated 5 months ago
• cqu20160901 / yolov8_rknn_Cplusplus
  yolov8 瑞芯微 rknn 板端 C++部署。
  ☆112Updated last year
• crab2rab / RKNN-YOLOV5-BatchInference-MultiThreading
  RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理
  ☆21Updated last year
• yuunnn-w / rknn-cpp-yolo
  This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code an…
  ☆47Updated 8 months ago
• cqu20160901 / yolov8n_onnx_tensorRT_rknn_horizon
  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）
  ☆154Updated last year
• kaylorchen / rk3588-yolo-demo
  The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and…
  ☆367Updated 3 weeks ago
• cqu20160901 / yolov8n_onnx_tensorRT_rknn_horizon_dfl
  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。
  ☆45Updated last year
• shaoshengsong / rockchip_rknn_yolov5
  yolov5 detector using rockchip rknn in C++
  ☆41Updated 2 years ago
• Zhou-sx / yolov5_Deepsort_rknn
  Track vehicles and persons on rk3588 / rk3399pro.
  ☆425Updated 2 years ago
• cqu20160901 / yolov10_rknn_Cplusplus
  yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆72Updated last year
• Try2ChangeX / NanoTrack_RK3588_python
  python版本基于rk3588的NanoTrack,每秒可达120FPS
  ☆117Updated 3 years ago
• airockchip / ultralytics_yolo11
  ☆112Updated 7 months ago
• cqu20160901 / yolov8n_rknn_Cplusplus_dfl
  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。
  ☆38Updated last year
• yipenguin / work_rk_yolov5
  ☆20Updated 2 years ago
• airockchip / yolov5
  YOLOv5 in PyTorch > ONNX > CoreML > TFLite
  ☆246Updated last week
• cqu20160901 / yolov11_tensorRT_postprocess_cuda
  yolov11 的tensorRT C++ 部署，后处理使用cuda实现比较耗时的操作。
  ☆42Updated 8 months ago
• icetd / RkYoloRtspServer
  simple yolov5 rtspserver for rk3588
  ☆54Updated 3 months ago
• airockchip / ultralytics_yolov8
  NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
  ☆233Updated 11 months ago
• ChuanSe / yolov5-PT-to-RKNN
  yolov5模型(.pt)在RK3588(S)上的部署(实时摄像头检测)
  ☆58Updated 2 years ago
• cqu20160901 / yolov8pose_rknn_Cplusplus
  yolov8pose 瑞芯微 rknn 板端 C++部署。
  ☆36Updated last year
• cqu20160901 / yolov11_deploymethods
  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。
  ☆33Updated 6 months ago
• emptysoal / TensorRT-YOLOv8
  Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.
  ☆118Updated last week
• leafqycc / rknn-cpp-Multithreading
  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)。
  ☆632Updated last year
• cqu20160901 / yolov10_onnx_rknn_horizon_tensorRT
  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
• xiaocao-tian / yolov8_tensorrt
  pt-->wts-->engine
  ☆152Updated 11 months ago
• MontaukLaw / 3568_rknn_rtmp
  rk3568的推理+推流
  ☆16Updated 8 months ago
• leafqycc / rknn-multi-threaded
  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)。
  ☆326Updated 2 years ago
• aemior / yolov8n_rk3588
  ☆40Updated 2 years ago
• crab2rab / MonocularDistanceDetect-YOLOV5-RKNN-CPP-MultiThread
  基于yolov5的C++单目摄像头测距
  ☆37Updated last year