Update issue template and ut (#750)

* update issue template and ut

* update ut requirements

* update docs

* update
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Yixiao Fang 2023-06-25 10:30:27 +08:00 committed by GitHub
parent c77954bb90
commit db861f3048
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6 changed files with 9 additions and 23 deletions

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@ -19,8 +19,8 @@ body:
label: Branch
description: Which branch/version are you using?
options:
- master branch (0.x version, such as `v0.10.0`, or `dev` branch)
- 1.x branch (1.x version, such as `v1.0.0rc2`, or `dev-1.x` branch)
- main branch (1.x version)
- 0.x branch
validations:
required: true

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@ -62,7 +62,7 @@ We recommend users to follow our best practices to install MMSelfSup. However, t
```shell
pip install -U openmim
mim install mmengine
mim install 'mmcv>=2.0.0rc1'
mim install 'mmcv>=2.0.0'
```
**Step 1.** Install MMSelfSup.
@ -79,25 +79,18 @@ In this case, install mmselfsup from source:
```shell
git clone https://github.com/open-mmlab/mmselfsup.git
cd mmselfsup
git checkout 1.x
pip install -v -e .
# "-v" means verbose, or more output
# "-e" means installing a project in editable mode,
# thus any local modifications made to the code will take effect without reinstallation.
```
Optionally, if you want to [contribute](https://github.com/open-mmlab/mmselfsup/blob/main/docs/en/notes/contribution_guide.md) to MMSelfSup or experience experimental functions, please checkout to the `dev-1.x` branch:
```shell
git checkout dev-1.x
```
#### Install as a Python package
Just install with pip.
```shell
pip install 'mmselfsup>=1.0.0rc0'
pip install 'mmselfsup>=1.0.0'
```
### Verify the installation

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@ -62,7 +62,7 @@ conda install pytorch torchvision cpuonly -c pytorch
```shell
pip install -U openmim
mim install mmengine
mim install 'mmcv>=2.0.0rc1'
mim install 'mmcv>=2.0.0'
```
**步骤 1.** 安装 MMSelfSup。
@ -79,25 +79,18 @@ mim install 'mmcv>=2.0.0rc1'
```shell
git clone https://github.com/open-mmlab/mmselfsup.git
cd mmselfsup
git checkout 1.x
pip install -v -e .
# "-v" 表示详细,或更多输出
# "-e" 表示以可编辑模式安装项目,
# 因此,对代码所做的任何本地修改都将生效,无需重新安装。
```
或者,如果您想为 MMSelfSup 做出[贡献](https://github.com/open-mmlab/mmselfsup/blob/main/docs/zh_cn/notes/contribution_guides.md)或体验其正在实验中的功能,请查看 `dev-1.x` 分支:
```shell
git checkout dev-1.x
```
#### 作为 Python 包安装
直接用 pip 安装:
```shell
pip install 'mmselfsup>=1.0.0rc0'
pip install 'mmselfsup>=1.0.0'
```
### 验证安装

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@ -1,5 +1,5 @@
asynctest
codecov
coverage
flake8
interrogate
isort==5.10.1

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@ -9,7 +9,7 @@ from mmselfsup.models import BEiT
from mmselfsup.structures import SelfSupDataSample
data_preprocessor = dict(
type='TwoNormDataPreprocessor',
type='mmselfsup.TwoNormDataPreprocessor',
mean=(123.675, 116.28, 103.53),
std=(58.395, 57.12, 57.375),
second_mean=(-20.4, -20.4, -20.4),

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@ -9,7 +9,7 @@ from mmselfsup.models import BEiT
from mmselfsup.structures import SelfSupDataSample
data_preprocessor = dict(
type='TwoNormDataPreprocessor',
type='mmselfsup.TwoNormDataPreprocessor',
mean=(123.675, 116.28, 103.53),
std=(58.395, 57.12, 57.375),
second_mean=(127.5, 127.5, 127.5),