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We appreciate all contributions to improve OpenMixup. We follow the developing standard of MMLab. 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: 寻求帮助 | ||
about: 遇到问题并寻求帮助 | ||
title: '' | ||
labels: help wanted | ||
assignees: '' | ||
--- | ||
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推荐使用英语模板 General question,以便你的问题帮助更多人。 | ||
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### 首先确认以下内容 | ||
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- 我已经查询了相关的 issue,但没有找到需要的帮助。 | ||
- 我已经阅读了相关文档,但仍不知道如何解决。 | ||
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### 描述你遇到的问题 | ||
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||
\[填写这里\] | ||
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### 相关信息 | ||
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1. `pip list | grep "mmcv\|mmcls\|^torch"` 命令的输出 | ||
\[填写这里\] | ||
2. 如果你修改了,或者使用了新的配置文件,请在这里写明 | ||
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```python | ||
[填写这里] | ||
``` | ||
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3. 如果你是在训练过程中遇到的问题,请填写完整的训练日志和报错信息 | ||
\[填写这里\] | ||
4. 如果你对 `mmcls` 文件夹下的代码做了其他相关的修改,请在这里写明 | ||
\[填写这里\] |
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--- | ||
name: 新功能 | ||
about: 为项目提一个建议 | ||
title: '[Feature]' | ||
labels: enhancement | ||
assignees: '' | ||
--- | ||
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推荐使用英语模板 Feature request,以便你的问题帮助更多人。 | ||
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### 描述这个功能 | ||
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\[填写这里\] | ||
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### 动机 | ||
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请简要说明以下为什么需要添加这个新功能 | ||
例 1. 现在进行 xxx 的时候不方便 | ||
例 2. 最近的论文中提出了有一个很有帮助的 xx | ||
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\[填写这里\] | ||
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### 相关资源 | ||
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是否有相关的官方实现或者第三方实现?这些会很有参考意义。 | ||
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\[填写这里\] | ||
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### 其他相关信息 | ||
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其他和这个功能相关的信息或者截图,请放在这里。 | ||
另外如果你愿意参与实现这个功能并提交 PR,请在这里说明,我们将非常欢迎。 | ||
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\[填写这里\] |
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--- | ||
name: 报告 Bug | ||
about: 报告问题以帮助我们提升 | ||
title: '[Bug]' | ||
labels: bug | ||
assignees: '' | ||
--- | ||
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推荐使用英语模板 Bug report,以便你的问题帮助更多人。 | ||
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### 描述 bug | ||
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简单地描述一下遇到了什么 bug | ||
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\[填写这里\] | ||
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### 复现流程 | ||
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在命令行中执行的详细操作 | ||
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```shell | ||
[填写这里] | ||
``` | ||
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### 相关信息 | ||
|
||
1. `pip list | grep "mmcv\|mmcls\|^torch"` 命令的输出 | ||
\[填写这里\] | ||
2. 如果你修改了,或者使用了新的配置文件,请在这里写明 | ||
|
||
```python | ||
[填写这里] | ||
``` | ||
|
||
3. 如果你是在训练过程中遇到的问题,请填写完整的训练日志和报错信息 | ||
\[填写这里\] | ||
4. 如果你对 `mmcls` 文件夹下的代码做了其他相关的修改,请在这里写明 | ||
\[填写这里\] | ||
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### 附加内容 | ||
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任何其他有关该 bug 的信息、截图等 | ||
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\[填写这里\] |
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--- | ||
name: Bug report | ||
about: Create a report to help us improve | ||
title: '[Bug]' | ||
labels: bug | ||
assignees: '' | ||
--- | ||
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### Describe the bug | ||
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A clear and concise description of what the bug is. | ||
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\[here\] | ||
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### To Reproduce | ||
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The command you executed. | ||
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```shell | ||
[here] | ||
``` | ||
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### Post related information | ||
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1. The output of `pip list | grep "mmcv\|mmcls\|^torch"` | ||
\[here\] | ||
2. Your config file if you modified it or created a new one. | ||
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||
```python | ||
[here] | ||
``` | ||
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3. Your train log file if you meet the problem during training. | ||
\[here\] | ||
4. Other code you modified in the `mmcls` folder. | ||
\[here\] | ||
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### Additional context | ||
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Add any other context about the problem here. | ||
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\[here\] |
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blank_issues_enabled: false | ||
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contact_links: | ||
- name: MMClassification Documentation | ||
url: https://mmclassification.readthedocs.io/en/latest/ | ||
about: Check if your question is answered in docs |
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--- | ||
name: Feature request | ||
about: Suggest an idea for this project | ||
title: '[Feature]' | ||
labels: enhancement | ||
assignees: '' | ||
--- | ||
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### Describe the feature | ||
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\[here\] | ||
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### Motivation | ||
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A clear and concise description of the motivation of the feature. | ||
Ex1. It is inconvenient when \[....\]. | ||
Ex2. There is a recent paper \[....\], which is very helpful for \[....\]. | ||
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\[here\] | ||
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### Related resources | ||
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If there is an official code release or third-party implementation, please also provide the information here, which would be very helpful. | ||
|
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\[here\] | ||
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### Additional context | ||
|
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Add any other context or screenshots about the feature request here. | ||
If you would like to implement the feature and create a PR, please leave a comment here and that would be much appreciated. | ||
|
||
\[here\] |
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--- | ||
name: General questions | ||
about: 'Ask general questions to get help ' | ||
title: '' | ||
labels: help wanted | ||
assignees: '' | ||
--- | ||
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### Checklist | ||
|
||
- I have searched related issues but cannot get the expected help. | ||
- I have read related documents and don't know what to do. | ||
|
||
### Describe the question you meet | ||
|
||
\[here\] | ||
|
||
### Post related information | ||
|
||
1. The output of `pip list | grep "mmcv\|mmcls\|^torch"` | ||
\[here\] | ||
2. Your config file if you modified it or created a new one. | ||
|
||
```python | ||
[here] | ||
``` | ||
|
||
3. Your train log file if you meet the problem during training. | ||
\[here\] | ||
4. Other code you modified in the `mmcls` folder. | ||
\[here\] |
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Thanks for your contribution to OpenMixup and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. We follow the standard in MMLab, e.g., [MMClassification](https://github.com/open-mmlab/mmclassification). 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 repositories? | ||
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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**Before PR**: | ||
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- [ ] Pre-commit or other linting tools are used to fix the potential lint issues. | ||
- [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. | ||
- [ ] The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness. | ||
- [ ] The documentation has been modified accordingly, like docstring or example tutorials. | ||
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**After PR**: | ||
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- [ ] If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects, like MMDet or MMSeg. | ||
- [ ] CLA has been signed and all committers have signed the CLA in this PR. |
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