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savefig in plot_study_text will not save plot. #4830

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thanos-sakelliou opened this issue Sep 16, 2021 · 2 comments · Fixed by #4831
Closed

savefig in plot_study_text will not save plot. #4830

thanos-sakelliou opened this issue Sep 16, 2021 · 2 comments · Fixed by #4831
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@thanos-sakelliou
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utils.plots.plot_study_txt() gets an empty path by default, so

plt.savefig(str(Path(path).name) + '.png', dpi=300) (line 281)

fails, as it is missing a name.

@thanos-sakelliou thanos-sakelliou added the bug Something isn't working label Sep 16, 2021
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github-actions bot commented Sep 16, 2021

👋 Hello @thanos-sakelliou, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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 training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

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Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
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@glenn-jocher glenn-jocher linked a pull request Sep 16, 2021 that will close this issue
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glenn-jocher commented Sep 16, 2021

@thanos-sakelliou good news 😃! Your original issue may now be fixed ✅ in PR #4831. To receive this update:

  • Gitgit pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
  • PyTorch Hub – Force-reload with model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
  • Notebooks – View updated notebooks Open In Colab Open In Kaggle
  • Dockersudo docker pull ultralytics/yolov5:latest to update your image Docker Pulls

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

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