目标跟踪_学习

https://github.com/search?q=yolov8++bytetrack++cpp&type=repositories

https://github.com/search?q=+yolov8+ByteTrack+&type=repositories

TensorRT C++ api 部署 YOLOv8 + ByteTrack
https://blog.csdn.net/zi_y_uan/article/details/134017880
https://github.com/emptysoal/TensorRT-YOLOv8-ByteTrack

ByteTrack_YOLO v5目标跟踪，openCV C++实现（详细注释）
https://blog.csdn.net/weixin_43013458/article/details/140959320
https://github.com/Handsome36233/bytetrack_cpp

AI项目十九：YOLOV8实现目标追踪
https://blog.csdn.net/weixin_38807927/article/details/135182570

https://github.com/hpc203/bytetrack-opencv-onnxruntime

YOLOv8 Tensorrt Python/C++部署教程
https://blog.csdn.net/weixin_45747759/article/details/130341118

yolov8 trt 转换测试
https://blog.csdn.net/love_xunmeng/article/details/139031582

Yolov8将.pt文件转换为tensorRt的.trt文件（模型部署）
https://blog.csdn.net/qq_53817374/article/details/123774163

使用TensorRT对YOLOv8模型进行加速推理
https://blog.csdn.net/fengbingchun/article/details/140826627

https://docs.ultralytics.com/zh/integrations/tensorrt/#configuring-int8-export

Tensorrt安装及使用（python版本）
https://blog.csdn.net/stivory/article/details/135847529

tensorrt 10转yolov8模型engine和推理inference
https://blog.csdn.net/m0_50617544/article/details/137481406

tensorrt部署yolov8
https://blog.csdn.net/m0_61888756/article/details/141569916

Ubuntu22.04安装cuda12.1 + cudnn8.9.2 + TensorRT8.6.1 + pytorch2.3.0 + opencv_cuda4.9 + onnxruntime-gpu1.18 
https://www.cnblogs.com/guohaomeng/p/18608875
https://github.com/anidh/YOLOv8-TensorRT-ByteTrack
https://github.com/pappoja/ByteTrack

12.3 trtexec 工具使用
https://tingsongyu.github.io/PyTorch-Tutorial-2nd/chapter-12/12.3-trt-trtexec.html

https://github.com/LSH9832/UCMCTrack-cpp

https://hans0809.github.io/

适用于视觉、语音和多模态直播的GPT-4o级别的MLLM在您的手机上
https://modelscope.cn/models/OpenBMB/MiniCPM-o-2_6