Alternatives and similar repositories for yolov8_rknn_Cplusplus

Users that are interested in yolov8_rknn_Cplusplus are comparing it to the libraries listed below

• 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）
  ☆148Updated last year
• 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.
  ☆67Updated 2 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。
  ☆40Updated last year
• Try2ChangeX / NanoTrack_RK3588_python
  python版本基于rk3588的NanoTrack,每秒可达120FPS
  ☆111Updated 2 years ago
• cqu20160901 / yolov10_rknn_Cplusplus
  yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆69Updated 10 months ago
• cqu20160901 / yolov8pose_rknn_Cplusplus
  yolov8pose 瑞芯微 rknn 板端 C++部署。
  ☆34Updated last year
• airockchip / ultralytics_yolov8
  NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
  ☆197Updated 8 months ago
• emptysoal / TensorRT-YOLOv8
  Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.
  ☆101Updated last month
• airockchip / yolov5
  YOLOv5 in PyTorch > ONNX > CoreML > TFLite
  ☆233Updated 7 months ago
• cqu20160901 / yolov11_dfl_rknn_Cplusplus
  yolov11 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆54Updated 2 months ago
• 1461521844lijin / trt_yolo_video_pipeline
  TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例
  ☆281Updated 3 months ago
• Zhou-wy / TRT-YOLOv8-Seg
  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。
  ☆83Updated last year
• shaoshengsong / rockchip_rknn_yolov5
  yolov5 detector using rockchip rknn in C++
  ☆39Updated 2 years ago
• yhwang-hub / dl_model_infer
  🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yol…
  ☆128Updated last year
• soloist-v / yolov5_for_rknn
  YOLOv5 in PyTorch > ONNX > RKNN
  ☆138Updated 4 years ago
• cqu20160901 / yolov8pose_onnx_tensorRT_rknn_horizon
  yolov8pose 部署版本，便于移植不同平台（onnx、tensorRT、rknn、Horizon）。
  ☆40Updated last year
• twlelev / OpenVINO_CPP_YOLOX-YOLOV5-YOLOV8-YOLOV9
  C++ inference of YOLOX/YOLOV5/YOLOV8/YOLOV9 for OpenVINO,Support float32、float16 and int8.
  ☆64Updated last year
• Zhou-sx / yolov5_Deepsort_rknn
  Track vehicles and persons on rk3588 / rk3399pro.
  ☆396Updated 2 years ago
• hpc203 / bytetrack-opencv-onnxruntime
  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
  ☆218Updated 3 years 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。
  ☆36Updated last year
• littledeep / YOLOv5-RK3399Pro
  PyTorch-->ONNX-->RKNN
  ☆121Updated 2 years ago
• 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…
  ☆35Updated 5 months ago
• icetd / RkYoloRtspServer
  simple yolov5 rtspserver for rk3588
  ☆49Updated last week
• xiaocao-tian / yolov8_tensorrt
  pt-->wts-->engine
  ☆145Updated 8 months ago
• 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）。
  ☆50Updated last year
• RichardoMrMu / deepsort-tensorrt
  A C++ implementation of Deepsort in Jetson Xavier nx and Jetson nano
  ☆70Updated 3 years ago
• emptysoal / TensorRT-YOLOv8-ByteTrack
  An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.
  ☆180Updated last month
• Melody-Zhou / tensorRT_Pro-YOLOv8
  This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
  ☆342Updated 3 months ago
• YYH-GPU / yolov11-yolov8-dnn-Classify-Detect-Obb-Pose-Seg
  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
  ☆82Updated 7 months ago
• 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…
  ☆319Updated this week