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MindCV contributing guidelines

Contributor License Agreement

It's required to sign CLA before your first code submission to MindCV community.

For individual contributor, please refer to ICLA online document for the detailed information.

Getting Started

Contribution Workflow

Code style

Please follow this style to make MindCV easy to review, maintain and develop.

  • Coding guidelines

    The Python coding style suggested by Python PEP 8 Coding Style and C++ coding style suggested by Google C++ Coding Guidelines are used in MindCV community. The CppLint, CppCheck, CMakeLint, CodeSpell, Lizard, ShellCheck and PyLint are used to check the format of codes, installing these plugins in your IDE is recommended.

  • Unittest guidelines

    The Python unittest style suggested by pytest and C++ unittest style suggested by Googletest Primer are used in MindCV community. The design intent of a testcase should be reflected by its name of comment.

  • Refactoring guidelines

    We encourage developers to refactor our code to eliminate the code smell. All codes should conform to needs to the coding style and testing style, and refactoring codes are no exception. Lizard threshold for nloc (lines of code without comments) is 100 and for cnc (cyclomatic complexity number) is 20, when you receive a Lizard warning, you have to refactor the code you want to merge.

  • Document guidelines

    We use MarkdownLint to check the format of markdown documents. MindCV CI modifies the following rules based on the default configuration.

    • MD007 (unordered list indentation): The indent parameter is set to 4, indicating that all content in the unordered list needs to be indented using four spaces.
    • MD009 (spaces at the line end): The br_spaces parameter is set to 2, indicating that there can be 0 or 2 spaces at the end of a line.
    • MD029 (sequence numbers of an ordered list): The style parameter is set to ordered, indicating that the sequence numbers of the ordered list are in ascending order.

    For details, please refer to RULES.

Fork-Pull development model

  • Fork MindCV repository

    Before submitting code to MindCV project, please make sure that this project have been forked to your own repository. It means that there will be parallel development between MindCV repository and your own repository, so be careful to avoid the inconsistency between them.

  • Clone the remote repository

    If you want to download the code to the local machine, git is the best way:

    # For GitHub
git clone https://github.com/{insert_your_forked_repo}/mindcv.git
git remote add upstream https://github.com/mindlab-ai/mindcv.git

  • Develop code locally

    To avoid inconsistency between multiple branches, checking out to a new branch is SUGGESTED:

    git checkout -b {new_branch_name} origin/master

    Taking the master branch as an example, MindCV may create version branches and downstream development branches as needed, please fix bugs upstream first. Then you can change the code arbitrarily.

  • Push the code to the remote repository

    After updating the code, you should push the update in the formal way:

    git add .
git status # Check the update status
git commit -m "Your commit title"
git commit -s --amend #Add the concrete description of your commit
git push origin {new_branch_name}

  • Pull a request to MindCV repository

    In the last step, your need to pull a compare request between your new branch and MindCV master branch. After finishing the pull request, the Jenkins CI will be automatically set up for building test. Your pull request should be merged into the upstream master branch as soon as possible to reduce the risk of merging.

Report issues

A great way to contribute to the project is to send a detailed report when you encounter an issue. We always appreciate a well-written, thorough bug report, and will thank you for it!

When reporting issues, refer to this format:

  • What version of env (mindspore, os, python, mindcv etc) are you using?
  • Is this a BUG REPORT or FEATURE REQUEST?
  • What kind of issue is, add the labels to highlight it on the issue dashboard.
  • What happened?
  • What you expected to happen?
  • How to reproduce it?(as minimally and precisely as possible)
  • Special notes for your reviewers?

Issues advisory:

  • If you find an unclosed issue, which is exactly what you are going to solve, please put some comments on that issue to tell others you would be in charge of it.
  • If an issue is opened for a while, it's recommended for contributors to precheck before working on solving that issue.
  • If you resolve an issue which is reported by yourself, it's also required to let others know before closing that issue.
  • If you want the issue to be responded as quickly as possible, please try to label it, you can find kinds of labels on Label List

Propose PRs

  • Raise your idea as an issue on GitHub
  • If it is a new feature that needs lots of design details, a design proposal should also be submitted.
  • After reaching consensus in the issue discussions and design proposal reviews, complete the development on the forked repo and submit a PR.
  • None of PRs is not permitted until it receives 2+ LGTM from approvers. Please NOTICE that approver is NOT allowed to add LGTM on his own PR.
  • After PR is sufficiently discussed, it will get merged, abandoned or rejected depending on the outcome of the discussion.

PRs advisory:

  • Any irrelevant changes should be avoided.
  • Make sure your commit history being ordered.
  • Always keep your branch up with the master branch.
  • For bug-fix PRs, make sure all related issues being linked.