mirror of https://github.com/open-mmlab/mmyolo.git
Add issue template
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# Contributor Covenant Code of Conduct
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## Our Pledge
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In the interest of fostering an open and welcoming environment, we as
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contributors and maintainers pledge to making participation in our project and
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our community a harassment-free experience for everyone, regardless of age, body
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size, disability, ethnicity, sex characteristics, gender identity and expression,
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level of experience, education, socio-economic status, nationality, personal
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appearance, race, religion, or sexual identity and orientation.
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## Our Standards
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Examples of behavior that contributes to creating a positive environment
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include:
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- Using welcoming and inclusive language
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- Being respectful of differing viewpoints and experiences
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- Gracefully accepting constructive criticism
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- Focusing on what is best for the community
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- Showing empathy towards other community members
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Examples of unacceptable behavior by participants include:
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- The use of sexualized language or imagery and unwelcome sexual attention or
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advances
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- Trolling, insulting/derogatory comments, and personal or political attacks
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- Public or private harassment
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- Publishing others' private information, such as a physical or electronic
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address, without explicit permission
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- Other conduct which could reasonably be considered inappropriate in a
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professional setting
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## Our Responsibilities
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Project maintainers are responsible for clarifying the standards of acceptable
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behavior and are expected to take appropriate and fair corrective action in
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response to any instances of unacceptable behavior.
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Project maintainers have the right and responsibility to remove, edit, or
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reject comments, commits, code, wiki edits, issues, and other contributions
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that are not aligned to this Code of Conduct, or to ban temporarily or
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permanently any contributor for other behaviors that they deem inappropriate,
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threatening, offensive, or harmful.
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## Scope
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This Code of Conduct applies both within project spaces and in public spaces
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when an individual is representing the project or its community. Examples of
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representing a project or community include using an official project e-mail
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address, posting via an official social media account, or acting as an appointed
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representative at an online or offline event. Representation of a project may be
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further defined and clarified by project maintainers.
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## Enforcement
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Instances of abusive, harassing, or otherwise unacceptable behavior may be
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reported by contacting the project team at chenkaidev@gmail.com. All
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complaints will be reviewed and investigated and will result in a response that
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is deemed necessary and appropriate to the circumstances. The project team is
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obligated to maintain confidentiality with regard to the reporter of an incident.
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Further details of specific enforcement policies may be posted separately.
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Project maintainers who do not follow or enforce the Code of Conduct in good
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faith may face temporary or permanent repercussions as determined by other
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members of the project's leadership.
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## Attribution
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This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
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available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
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For answers to common questions about this code of conduct, see
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https://www.contributor-covenant.org/faq
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[homepage]: https://www.contributor-covenant.org
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We appreciate all contributions to improve MMYOLO. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) in MMCV for more details about the contributing guideline.
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name: "🐞 Bug report"
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description: "Create a report to help us reproduce and fix the bug"
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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 reporting this issue to help us improve!
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If you have already identified the reason, we strongly appreciate you creating a new PR to fix it [here](https://github.com/open-mmlab/mmyolo/pulls)!
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If this issue is about installing MMCV, please file an issue at [MMCV](https://github.com/open-mmlab/mmcv/issues/new/choose).
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If you need our help, please fill in as much of the following form as you're able.
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- type: checkboxes
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attributes:
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label: Prerequisite
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description: Please check the following items before creating a new issue.
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options:
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- label: I have searched [the existing and past issues](https://github.com/open-mmlab/mmyolo/issues) but cannot get the expected help.
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required: true
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- label: I have read the [FAQ documentation](https://mmyolo.readthedocs.io/en/latest/faq.html) but cannot get the expected help.
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required: true
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- label: The bug has not been fixed in the [latest version](https://github.com/open-mmlab/mmyolo).
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required: true
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- type: textarea
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attributes:
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label: 🐞 Describe the bug
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description: |
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Please provide a clear and concise description of what the bug is.
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Preferably a simple and minimal code snippet that we can reproduce the error by running the code.
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placeholder: |
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A clear and concise description of what the bug is.
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```python
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# Sample code to reproduce the problem
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```
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```shell
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The command or script you run.
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```
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```
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The error message or logs you got, with the full traceback.
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```
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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: |
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Please run `python mmyolo/utils/collect_env.py` to collect necessary environment information and paste it here.
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You may add addition that may be helpful for locating the problem, such as
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- How you installed PyTorch \[e.g., pip, conda, source\]
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- Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)
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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 information
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description: Tell us anything else you think we should know.
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placeholder: |
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1. Did you make any modifications on the code or config? Did you understand what you have modified?
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2. What dataset did you use?
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3. What do you think might be the reason?
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name: 🚀 Feature request
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description: Suggest an idea for this project
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labels: [feature request]
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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 suggesting an idea to make MMYOLO better.
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We strongly appreciate you creating a PR to implete this feature [here](https://github.com/open-mmlab/mmyolo/pulls)!
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If you need our help, please fill in as much of the following form as you're able.
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- type: textarea
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attributes:
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label: What is the problem this feature will solve?
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placeholder: |
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E.g., It is inconvenient when \[....\].
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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: What is the feature you are proposing to solve the problem?
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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: What alternatives have you considered?
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description: |
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Add any other context or screenshots about the feature request here.
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name: "\U0001F31F New model/dataset addition"
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description: Submit a proposal/request to implement a new model / dataset
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labels: [ "New model/dataset" ]
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body:
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- type: textarea
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id: description-request
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validations:
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required: true
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attributes:
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label: Model/Dataset description
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description: |
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Put any and all important information relative to the model/dataset
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- type: checkboxes
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attributes:
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label: Open source status
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description: |
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Please provide the open-source status, which would be very helpful
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options:
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- label: "The model implementation is available"
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- label: "The model weights are available."
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- type: textarea
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id: additional-info
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attributes:
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label: Provide useful links for the implementation
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description: |
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Please provide information regarding the implementation, the weights, and the authors.
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Please mention the authors by @gh-username if you're aware of their usernames.
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name: 📚 Documentation
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description: Report an issue related to https://mmyolo.readthedocs.io/en/latest/.
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body:
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- type: textarea
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attributes:
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label: 📚 The doc issue
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description: >
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A clear and concise description of what content in https://mmyolo.readthedocs.io/en/latest/ is an issue.
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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: Suggest a potential alternative/fix
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description: >
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Tell us how we could improve the documentation in this regard.
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- type: markdown
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attributes:
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value: >
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Thanks for contributing 🎉!
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name: "💥 Reimplementation Questions"
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description: "Ask about questions during model reimplementation"
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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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If you have already identified the reason, we strongly appreciate you creating a new PR to fix it [here](https://github.com/open-mmlab/mmyolo/pulls)!
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- type: checkboxes
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attributes:
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label: Prerequisite
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||||
description: Please check the following items before creating a new issue.
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options:
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||||
- label: I have searched [the existing and past issues](https://github.com/open-mmlab/mmyolo/issues) but cannot get the expected help.
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required: true
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- label: I have read the [FAQ documentation](https://mmyolo.readthedocs.io/en/latest/faq.html) but cannot get the expected help.
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required: true
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- label: The bug has not been fixed in the [latest version](https://github.com/open-mmlab/mmyolo).
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required: true
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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: 💬 Describe the reimplementation questions
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description: |
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A clear and concise description of what the problem you meet and what have you done.
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There are several common situations in the reimplementation issues as below
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1. Reimplement a model in the model zoo using the provided configs
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2. Reimplement a model in the model zoo on other dataset (e.g., custom datasets)
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3. Reimplement a custom model but all the components are implemented in MMDetection
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4. Reimplement a custom model with new modules implemented by yourself
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There are several things to do for different cases as below.
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- For case 1 & 3, please follow the steps in the following sections thus we could help to quick identify the issue.
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- For case 2 & 4, please understand that we are not able to do much help here because we usually do not know the full code and the users should be responsible to the code they write.
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- One suggestion for case 2 & 4 is that the users should first check whether the bug lies in the self-implemented code or the original code. For example, users can first make sure that the same model runs well on supported datasets. If you still need help, please describe what you have done and what you obtain in the issue, and follow the steps in the following sections and try as clear as possible so that we can better help you.
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placeholder: |
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A clear and concise description of what the bug is.
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What config dir you run?
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```none
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A placeholder for the config.
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```
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```shell
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The command or script you run.
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```
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```
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The error message or logs you got, with the full traceback.
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```
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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: |
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Please run `python mmyolo/utils/collect_env.py` to collect necessary environment information and paste it here.
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You may add addition that may be helpful for locating the problem, such as
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- How you installed PyTorch \[e.g., pip, conda, source\]
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- Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)
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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: Expected results
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description: If applicable, paste the related results here, e.g., what you expect and what you get.
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placeholder: |
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```none
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A placeholder for results comparison
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```
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- type: textarea
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attributes:
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label: Additional information
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description: Tell us anything else you think we should know.
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||||
placeholder: |
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1. Did you make any modifications on the code or config? Did you understand what you have modified?
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2. What dataset did you use?
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3. What do you think might be the reason?
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blank_issues_enabled: true
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contact_links:
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- name: 💬 Forum
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url: https://github.com/open-mmlab/mmyolo/discussions
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about: Ask general usage questions and discuss with other MMYOLO community members
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- name: 🌐 Explore OpenMMLab
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url: https://openmmlab.com/
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about: Get know more about OpenMMLab
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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
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## Motivation
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Please describe the motivation of this PR and the goal you want to achieve through this PR.
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## Modification
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Please briefly describe what modification is made in this PR.
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## BC-breaking (Optional)
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Does the modification introduce changes that break the backward-compatibility of the downstream repos?
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If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
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## Use cases (Optional)
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If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.
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## Checklist
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1. Pre-commit or other linting tools are used to fix the potential lint issues.
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2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
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3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMCls.
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4. The documentation has been modified accordingly, like docstring or example tutorials.
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name: deploy
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on: push
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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build-n-publish:
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runs-on: ubuntu-latest
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if: startsWith(github.event.ref, 'refs/tags')
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.7
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uses: actions/setup-python@v2
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with:
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python-version: 3.7
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- name: Install torch
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run: pip install torch
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- name: Install wheel
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run: pip install wheel
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- name: Build MMYOLO
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run: python setup.py sdist bdist_wheel
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- name: Publish distribution to PyPI
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run: |
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pip install twine
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twine upload dist/* -u __token__ -p ${{ secrets.pypi_password }}
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