Alternatives and similar repositories for Yolov5_rknnlite2

Users that are interested in Yolov5_rknnlite2 are comparing it to the libraries listed below

• cqu20160901 / yolov8-obb_onnx_rknn_horizon_tensonRT
  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
• ChuanSe / yolov5-PT-to-RKNN
  yolov5模型(.pt)在RK3588(S)上的部署(实时摄像头检测)
  ☆61Updated 2 years ago
• cqu20160901 / yolov8_rknn_Cplusplus
  yolov8 瑞芯微 rknn 板端 C++部署。
  ☆114Updated last year
• cluangar / YOLOv5-RK3588-Python
  Modify Code From rknn-toolkit2
  ☆54Updated last year
• 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）
  ☆157Updated last year
• cqu20160901 / yolov11_dfl_rknn_Cplusplus
  yolov11 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆71Updated 9 months 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。
  ☆47Updated last year
• icetd / RkYoloRtspServer
  simple yolov5 rtspserver for rk3588
  ☆62Updated 7 months ago
• HITSZ-NRSL / yolox_for_cann_atlas200dk
  ☆19Updated 4 years ago
• LittleRain626 / rknn_yolov5_3588_bytetrack
  ☆29Updated 3 years ago
• 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。
  ☆45Updated 11 months ago
• cqu20160901 / UNetMultiLane_onnx_tensorRT_rknn_horizon
  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
• Try2ChangeX / NanoTrack_RK3588_python
  python版本基于rk3588的NanoTrack,每秒可达120FPS
  ☆128Updated 3 years ago
• cqu20160901 / yolov8seg_rknn_Cplusplus
  yolov8seg 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆29Updated 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.
  ☆82Updated 7 months ago
• cqu20160901 / yolov10_rknn_Cplusplus
  yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆74Updated last year
• yin-qiyu / learn_jetson
  jetson nano 部署 yolov5+TensorRT+Deepstream
  ☆52Updated 2 months ago
• rscgg37248 / DeepStream6.0_Yolov5-6.0
  基于DeepStream6.0和yolov5-6.0的目标检测
  ☆19Updated 4 years ago
• 455670288 / rknn-yolov8s-multi-thread-inference
  yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速
  ☆57Updated last year
• littledeep / YOLOv5-RK3399Pro
  PyTorch-->ONNX-->RKNN
  ☆128Updated 3 years ago
• DataXujing / YOLOv7
  Official YOLOv7训练自己的数据集并实现端到端的TensorRT模型加速推断
  ☆49Updated 3 years ago
• heyongxin233 / YOLO-Pruning-RKNN
  Easy Training Official YOLOv11、YOLOv10、YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!
  ☆131Updated 4 months ago
• mahxn0 / Hisi3559A_Yolov5
  基于hisi3559a的yolov5
  ☆37Updated 3 years ago
• shaoshengsong / rockchip_rknn_yolov5
  yolov5 detector using rockchip rknn in C++
  ☆42Updated 3 years 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。
  ☆86Updated 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…
  ☆137Updated last year
• Zhou-sx / yolov5_Deepsort_rknn
  Track vehicles and persons on rk3588 / rk3399pro.
  ☆442Updated 2 years ago
• Applied-Deep-Learning-Lab / Yolov5_RK3588
  YOLOv5 for RK3588
  ☆88Updated 2 years ago
• xieincz / Multithreaded-YOLOv5-ByteTrack
  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 …
  ☆80Updated 5 months ago
• YINYIPENG-EN / Pruning_for_YOLOV5_pytorch
  ☆39Updated 2 years ago