Update docs with YOLOv8 banner (#160)
Co-authored-by: Paula Derrenger <107626595+pderrenger@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>single_channel
Glenn Jocher
2 years ago
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GitHub
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name: 🐛 Bug Report
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# title: " "
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description: Problems with YOLOv8
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labels: [bug, triage]
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body:
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- type: markdown
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attributes:
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value: |
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Thank you for submitting a YOLOv8 🐛 Bug Report!
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- type: checkboxes
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attributes:
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label: Search before asking
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description: >
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Please search the [issues](https://github.com/ultralytics/ultralytics/issues) to see if a similar bug report already exists.
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options:
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- label: >
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I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
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required: true
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- type: dropdown
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attributes:
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label: YOLOv8 Component
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description: |
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Please select the part of YOLOv8 where you found the bug.
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multiple: true
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options:
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- "Training"
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- "Validation"
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- "Detection"
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- "Export"
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- "PyTorch Hub"
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- "Multi-GPU"
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- "Evolution"
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- "Integrations"
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- "Other"
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validations:
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required: false
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- type: textarea
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attributes:
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label: Bug
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description: Provide console output with error messages and/or screenshots of the bug.
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placeholder: |
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💡 ProTip! Include as much information as possible (screenshots, logs, tracebacks etc.) to receive the most helpful response.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Environment
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description: Please specify the software and hardware you used to produce the bug.
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placeholder: |
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- YOLO: YOLOv8 🚀 v6.0-67-g60e42e1 torch 1.9.0+cu111 CUDA:0 (A100-SXM4-40GB, 40536MiB)
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- OS: Ubuntu 20.04
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- Python: 3.9.0
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validations:
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required: false
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- type: textarea
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attributes:
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label: Minimal Reproducible Example
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description: >
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When asking a question, people will be better able to provide help if you provide code that they can easily understand and use to **reproduce** the problem.
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This is referred to by community members as creating a [minimal reproducible example](https://stackoverflow.com/help/minimal-reproducible-example).
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placeholder: |
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```
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# Code to reproduce your issue here
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```
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validations:
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required: false
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- type: textarea
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attributes:
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label: Additional
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description: Anything else you would like to share?
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- type: checkboxes
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attributes:
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label: Are you willing to submit a PR?
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description: >
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(Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/ultralytics/pulls) (PR) to help improve YOLOv8 for everyone, especially if you have a good understanding of how to implement a fix or feature.
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See the YOLOv8 [Contributing Guide](https://github.com/ultralytics/ultralytics/blob/master/CONTRIBUTING.md) to get started.
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options:
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- label: Yes I'd like to help by submitting a PR!
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blank_issues_enabled: true
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contact_links:
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- name: 📄Docs
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url: https://docs.ultralytics.com/
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about: Full Ultralytics YOLOv8 Documentation
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- name: 💬 Forum
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url: https://community.ultralytics.com/
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about: Ask on Ultralytics Community Forum
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- name: Stack Overflow
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url: https://stackoverflow.com/search?q=YOLOv8
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about: Ask on Stack Overflow with 'YOLOv8' tag
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name: 🚀 Feature Request
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description: Suggest a YOLOv8 idea
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# title: " "
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labels: [enhancement]
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body:
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- type: markdown
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attributes:
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value: |
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Thank you for submitting a YOLOv8 🚀 Feature Request!
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- type: checkboxes
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attributes:
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label: Search before asking
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description: >
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Please search the [issues](https://github.com/ultralytics/ultralytics/issues) to see if a similar feature request already exists.
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options:
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- label: >
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I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar feature requests.
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required: true
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- type: textarea
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attributes:
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label: Description
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description: A short description of your feature.
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placeholder: |
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What new feature would you like to see in YOLOv8?
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validations:
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required: true
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- type: textarea
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attributes:
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label: Use case
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description: |
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Describe the use case of your feature request. It will help us understand and prioritize the feature request.
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placeholder: |
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How would this feature be used, and who would use it?
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- type: textarea
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attributes:
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label: Additional
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description: Anything else you would like to share?
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- type: checkboxes
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attributes:
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label: Are you willing to submit a PR?
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description: >
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(Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/ultralytics/pulls) (PR) to help improve YOLOv8 for everyone, especially if you have a good understanding of how to implement a fix or feature.
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See the YOLOv8 [Contributing Guide](https://github.com/ultralytics/ultralytics/blob/master/CONTRIBUTING.md) to get started.
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options:
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- label: Yes I'd like to help by submitting a PR!
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name: ❓ Question
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description: Ask a YOLOv8 question
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# title: " "
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labels: [question]
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body:
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- type: markdown
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attributes:
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value: |
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Thank you for asking a YOLOv8 ❓ Question!
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- type: checkboxes
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attributes:
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label: Search before asking
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description: >
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Please search the [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) to see if a similar question already exists.
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options:
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- label: >
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I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions.
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required: true
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- type: textarea
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attributes:
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label: Question
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description: What is your question?
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placeholder: |
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💡 ProTip! Include as much information as possible (screenshots, logs, tracebacks etc.) to receive the most helpful response.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Additional
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description: Anything else you would like to share?
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# Ultralytics HUB App for YOLOv8
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<div align="center">
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<a href="https://ultralytics.com/app_install" target="_blank">
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<img width="1024" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-app.png"></a>
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<br>
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</div>
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Welcome to the Ultralytics HUB app for demonstrating YOLOv5 and YOLOv8 models! In this app, available on the [Apple App
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Store](https://apps.apple.com/xk/app/ultralytics/id1583935240) and the [Google Play Store](https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app), you will be able to see the power and capabilities of YOLOv5, a state-of-the-art object
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detection model developed by Ultralytics.
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**To install simply scan the QR code above**. The App currently features YOLOv5 models, with YOLOv8 models coming soon.
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With YOLOv5, you can detect and classify objects in images and videos with high accuracy and speed. The model has been
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trained on a large dataset and is able to detect a wide range of objects, including cars, pedestrians, and traffic
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signs.
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In this app, you will be able to try out YOLOv5 on your own images and videos, and see the model in action. You can also
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learn more about how YOLOv5 works and how it can be used in real-world applications.
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We hope you enjoy using YOLOv5 and seeing its capabilities firsthand. Thank you for choosing Ultralytics for your object
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detection needs!
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