YOLOv8多机多卡训练

本文介绍了如何在YOLOv8中使用多台机器和GPU进行分布式训练,涉及设置网络、配置文件修改、模型权重、批大小调整以及数据配置等内容,旨在帮助用户顺利进行大规模训练。

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参考YOLOv5多机多卡训练
https://docs.ultralytics.com/zh/yolov5/tutorials/multi_gpu_training/?h=multiple+machine#multi-gpu-distributeddataparallel-mode-recommended

Training YOLOv8 with multiple machines and GPUs involves the use of distributed and parallel computing. The process is similar to how it’s done in YOLOv5, with the main difference being the configuration file and model weights specific to YOLOv8.

Here’s a general overview:

  1. Setup: Set up your machines to have a master and worker nodes that will be connected over a network.

  2. Network Configuration: Assign a static IP to your master machine and make note of it. You’ll need to provide this IP and a master port when running the training command.

  3. Distributed T

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