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github-actions avatar github-actions commented on April 29, 2024

Hello @acai66, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Google Colab Notebook, Docker Image, and GCP Quickstart Guide for example environments.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

  • Cloud-based AI surveillance systems operating on hundreds of HD video streams in realtime.
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For more information please visit https://www.ultralytics.com.

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glenn-jocher avatar glenn-jocher commented on April 29, 2024

@acai66 yes you make a good point. We use multiple docker containers on a single machine to exploit multiple single-gpu trainings simultaneously.

Without docker containers you might simply copy the directory, one per gpu.

For a more comprehensive solution, we might be better off depositing all run-related items (jpgs, results.txt, checkpoints etc.) into the unique ./runs directory already created automatically by tensorboard when a training run starts. What do you think?

Screen Shot 2020-06-06 at 10 34 13 PM

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acai66 avatar acai66 commented on April 29, 2024

@acai66 yes you make a good point. We use multiple docker containers on a single machine to exploit multiple single-gpu trainings simultaneously.

Without docker containers you might simply copy the directory, one per gpu.

For a more comprehensive solution, we might be better off depositing all run-related items (jpgs, results.txt, checkpoints etc.) into the unique ./runs directory already created automatically by tensorboard when a training run starts. What do you think?

Screen Shot 2020-06-06 at 10 34 13 PM

good idea, thanks

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glenn-jocher avatar glenn-jocher commented on April 29, 2024

The unique directory is defined in

yolov5/train.py

Lines 394 to 399 in b810b21

# Train
if not opt.evolve:
tb_writer = SummaryWriter(comment=opt.name)
print('Start Tensorboard with "tensorboard --logdir=runs", view at http://localhost:6006/')
train(hyp)

tb_writer.log_dir
Out[3]: 'runs/Jun07_09-10-55_Glenns-MBP.attlocal.net'

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glenn-jocher avatar glenn-jocher commented on April 29, 2024

@acai66 see #104, this PR seems to address many of your concerns. Perhaps you could look it over and give feedback to the PR author.

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github-actions avatar github-actions commented on April 29, 2024

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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