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