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[Pytorch Hub] Hub CI is broken with latest master of yolo5 example. #2050

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ailzhang opened this issue Jan 27, 2021 · 2 comments
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[Pytorch Hub] Hub CI is broken with latest master of yolo5 example. #2050

ailzhang opened this issue Jan 27, 2021 · 2 comments
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@ailzhang
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Hi! I've temporarily disabled yolo5 in Pytorch Hub CI due to an error showed up a few weeks ago. https://github.com/pytorch/hub/blob/master/scripts/run_pytorch.sh#L18
Would you mind help tracking down the issue? Once it's fixed please let me know and I'll reenable it in CI. Thanks a lot!

@ailzhang ailzhang added the bug Something isn't working label Jan 27, 2021
@github-actions
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github-actions bot commented Jan 27, 2021

👋 Hello @ailzhang, 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.

For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
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@ailzhang by definition if this badge is green then all CI checks are passing, including hub CI:

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher glenn-jocher added the TODO High priority items label Jan 27, 2021
@glenn-jocher glenn-jocher removed the TODO High priority items label Jan 27, 2021
soumith pushed a commit to pytorch/hub that referenced this issue Jan 28, 2021
* YOLOv5 Update

Updated demo, metrics and bug fix for ultralytics/yolov5#2050

* cleanup

* update image

* cleanup data comment

* Update ultralytics_yolov5.md
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