6xdax / rk3588_yolov5_bytetrack
☆8Updated last year
Alternatives and similar repositories for rk3588_yolov5_bytetrack
Users that are interested in rk3588_yolov5_bytetrack are comparing it to the libraries listed below
Sorting:
- rk3588 various solutions for reading camera and video files☆13Updated last year
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆110Updated 2 years ago
- C++版本基于libtorch的NanoTrack跟踪算法☆48Updated 2 years ago
- RK3588 Debian11环境下实现yolov5-face的推理实现,包括Python和C++实现。主要依赖RKNPU2 SDK和rknn_toolkit_lite2☆18Updated 11 months ago
- yolov8s在rk3588的推理部署,并使用多线程池并行npu推理加速☆23Updated 6 months ago
- ☆38Updated last year
- YOLOv10: Real-Time End-to-End Object Detection☆11Updated 8 months ago
- 在海思Hisilicon的Hi3516dv300芯片上,利用nnie和opencv库,简洁了官方yolov3用例中各种复杂的嵌套调用/复杂编译,提供了交叉编译后可成功上板部署运行的demo。☆45Updated 3 years ago
- ☆22Updated 3 years ago
- ☆78Updated last year
- Track vehicles and persons on rk3588 / rk3399pro.☆388Updated 2 years ago
- 边缘设备端算法部署模板框架(包括海思SS928、Hi3519 DV500;瑞芯微rv1126、rk588、比特大陆BM1684X),部署项目包括yolov5、picodet、MNIST,包括优化加速教程☆26Updated 9 months ago
- 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。☆34Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署。☆107Updated last year
- 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。☆39Updated last year
- PyTorch-->ONNX-->RKNN☆121Updated 2 years ago
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆61Updated last year
- Some changes on original repo☆29Updated 2 years ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆34Updated last year
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆69Updated 9 months ago
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆41Updated 2 years ago
- nanotrack c++版本部署rk3588☆13Updated 6 months ago
- RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理☆21Updated last year
- Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors☆31Updated last year
- yolov7 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(caffe、onnx、tensorRT、RKNN、Horzion)。☆32Updated 2 years ago
- ☆243Updated last year
- YOLOv5 in PyTorch > ONNX > RKNN☆139Updated 4 years ago
- ☆39Updated last year
- 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.☆65Updated 8 months ago
- Use the v4l2 interface to call the mipi camera demo code.☆20Updated 3 years ago