Alternatives and similar repositories for NanoTrack_RK3588_python

Users that are interested in NanoTrack_RK3588_python are comparing it to the libraries listed below

• Try2ChangeX / NanoTrack_Libtorch
  C++版本基于libtorch的NanoTrack跟踪算法
  ☆56Updated 2 years ago
• Z-Xiong / LightTrack-ncnn
  Ncnn version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
  ☆92Updated 3 months ago
• HonglinChu / NanoTrack
  Deep learning-based mobile model deployment(Object Tracking). Lightweight Object Tracking, NCNN,
  ☆157Updated 2 years ago
• Zhou-sx / yolov5_Deepsort_rknn
  Track vehicles and persons on rk3588 / rk3399pro.
  ☆437Updated 2 years ago
• cqu20160901 / yolov8_rknn_Cplusplus
  yolov8 瑞芯微 rknn 板端 C++部署。
  ☆114Updated last year
• zhuyuliang / LightTrack-rknn
  RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
  ☆23Updated 3 years ago
• ZhangLi1210 / NanoTrack_Tensorrt_Cpp
  NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!
  ☆28Updated 2 years 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）
  ☆157Updated last year
• airockchip / yolov5
  YOLOv5 in PyTorch > ONNX > CoreML > TFLite
  ☆259Updated 3 weeks ago
• littledeep / YOLOv5-RK3399Pro
  PyTorch-->ONNX-->RKNN
  ☆127Updated 3 years ago
• cab0625 / nanotrack-c-rk3588
  nanotrack c++版本部署rk3588
  ☆17Updated last year
• JackWoo0831 / yolov5_Deepsort_rknn
  Some changes on original repo
  ☆27Updated 2 years ago
• cqu20160901 / yolov11_dfl_rknn_Cplusplus
  yolov11 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆67Updated 8 months ago
• soloist-v / yolov5_for_rknn
  YOLOv5 in PyTorch > ONNX > RKNN
  ☆139Updated 4 years ago
• 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.
  ☆78Updated 5 months ago
• MontaukLaw / yolov5_3588_multi_thread
  启动多线程, relu激活, 3588的yolo部署, 帧率150以上.
  ☆22Updated 2 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
  ☆50Updated 11 months ago
• shaoshengsong / rockchip_rknn_yolov5
  yolov5 detector using rockchip rknn in C++
  ☆42Updated 3 years 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)。
  ☆334Updated 2 years ago
• cqu20160901 / yolov8pose_rknn_Cplusplus
  yolov8pose 瑞芯微 rknn 板端 C++部署。
  ☆36Updated last year
• Uhao-P / rk3588_read_video
  rk3588 various solutions for reading camera and video files
  ☆19Updated last year
• xi-mao / siamFCppwarp
  C++ Implementation Siamfcpp (siamfc++)
  ☆18Updated 4 years ago
• EASY-EAI / yolov5
  YOLOv5 in PyTorch > ONNX > CoreML > TFLite
  ☆186Updated 2 years ago
• cqu20160901 / yolov10_rknn_Cplusplus
  yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆74Updated last year
• Z-Xiong / LightTrack-rknn
  RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
  ☆12Updated 3 months ago
• Applied-Deep-Learning-Lab / Yolov5_RK3588
  YOLOv5 for RK3588
  ☆87Updated last year
• kuaileBenbi / MVS-RKNN
  海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5
  ☆31Updated 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
  ☆229Updated 3 years 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…
  ☆393Updated 3 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。
  ☆46Updated last year