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Contributors section has a broken image #8817

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AyushExel opened this issue Aug 1, 2022 · 5 comments · Fixed by #8820
Closed
2 tasks done

Contributors section has a broken image #8817

AyushExel opened this issue Aug 1, 2022 · 5 comments · Fixed by #8820
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@AyushExel
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Search before asking

  • I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

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Bug

Here's how the contributors section looks like for me. Not sure if its broken for everyone or it's a regional thing. Please take a look!
Screenshot 2022-08-01 at 11 27 41 AM

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Minimal Reproducible Example

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Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
@AyushExel AyushExel added the bug Something isn't working label Aug 1, 2022
@github-actions
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github-actions bot commented Aug 1, 2022

👋 Hello @AyushExel, 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://ultralytics.com or email support@ultralytics.com.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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), validation (val.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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@AyushExel I noticed this also. The opencollective svg we use seems to be spotty due to some issues at opencollective, i.e.
opencollective/opencollective-api#1164

An alternative mentioned is here:
https://contrib.rocks/preview?repo=ultralytics%2Fyolov5

@glenn-jocher
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@AyushExel I saw the empty image a few minutes ago, now see the full image, but I agree let's keep an eye on this and if it doesn't consistently show we should switch to the alternative above

Screen Shot 2022-08-01 at 11 36 30 AM

@glenn-jocher
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glenn-jocher commented Aug 1, 2022

@AyushExel alternatively I exported the svg (2MB) to a fixed PNG (400kB). Should be faster to load and still transparent for dark mode, we can host as a v1.0 release asset, should permanently resolve problems.

68747470733a2f2f6f70656e636f6c6c6563746976652e636f6d2f756c7472616c79746963732f636f6e7472696275746f72732e7376673f77696474683d393930

EDIT: it won't grow with the contributors obviously, but we can occasionally update, i.e. every 6-12 months.

@glenn-jocher
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@AyushExel master is updated. Let me know if you see any more broken links here.

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