zhuyuliang / LightTrack-rknnLinks
RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
☆21Updated 3 years ago
Alternatives and similar repositories for LightTrack-rknn
Users that are interested in LightTrack-rknn are comparing it to the libraries listed below
Sorting:
- Ncnn version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆85Updated 2 years ago
- RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆9Updated 2 years ago
- C++版本基于libtorch的NanoTrack跟踪算法☆51Updated 2 years ago
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆24Updated last year
- ☆25Updated 3 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆112Updated 2 years ago
- 基于 TensorRT 的 C++ 高性能单目标跟踪推理,支持算法OSTrack、LightTrack。☆50Updated last year
- Deep learning-based mobile model deployment(Object Tracking). Lightweight Object Tracking, NCNN,☆138Updated 2 years ago
- 基于hisi3559a的yolov5☆36Updated 3 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
- C++ Implementation Siamfcpp (siamfc++)☆17Updated 3 years ago
- C++版本多目标跟踪☆28Updated 4 years ago
- Some changes on original repo☆28Updated 2 years ago
- [CVPR 2024] OC-SORT implemented in C++ with Eigen Library, Plus a Android Demo Apk☆59Updated 2 months ago
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆59Updated 4 months ago
- yolov5 detector using rockchip rknn in C++☆39Updated 2 years ago
- yolov5 deploy 3559☆33Updated 3 years ago
- yolov5: pytorch->onnx->caffe->hisi3559☆22Updated last year
- nanotrack c++版本部署rk3588☆14Updated 8 months 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☆27Updated last year
- ☆44Updated 3 years ago
- MixformerV2 onnx c++, MixformerV2 TensorRT CPP and python version☆19Updated last year
- A C++ implementation for UCMCTrack (SOTA in MOT17)☆22Updated last month
- 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。☆44Updated last year
- 海思nnie跑yolov5☆26Updated 2 years ago
- ☆39Updated 2 years ago
- ☆23Updated 3 years ago
- Mnn version demo of [ECCV2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework.☆19Updated last year
- ☆66Updated 3 years ago
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆21Updated last year