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[Docs] Add brief installation steps in README(_zh-CN).md (#62) 

* [Docs] Add brief installation steps in README(_zh-CN).md

* minor fix
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22
README.md
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@ -99,7 +99,27 @@ Supported algorithms:
## Installation & Dataset Preparation
Please refer to [install.md](docs/install.md) for installation of mmfewshot and [data preparation](tools/data/README.md) for dataset preparation.
MMFewShot depends on [PyTorch](https://pytorch.org/) and [MMCV](https://github.com/open-mmlab/mmcv).
Below are quick steps for installation.
Please refer to [install.md](/docs/en/install.md) for installation of MMFewShot and [data preparation](tools/data/README.md) for dataset preparation.
```shell
conda create -n openmmlab python=3.7 -y
conda activate openmmlab
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.1 -c pytorch
# install the latest mmcv
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.7.0/index.html
# install mmclassification mmdetection
pip install mmcls mmdet
# install mmfewshot
git clone https://github.com/open-mmlab/mmfewshot.git
cd mmfewshot
pip install -r requirements/build.txt
pip install -v -e . # or "python setup.py develop"
```
## Getting Started

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README_zh-CN.md
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@ -97,7 +97,26 @@ MMFewShot 是一款基于 PyTorch 的少样本学习代码库，是 [OpenMMLab](
## 安装与准备数据集
请参考[安装文档](docs/install.md)进行安装和参考[数据准备](tools/data/README.md)准备数据集。
MMFewShot 依赖 [PyTorch](https://pytorch.org/) 和 [MMCV](https://github.com/open-mmlab/mmcv) ，以下是安装的简要步骤。
请参考[安装文档](docs/zh_cn/install.md)进行安装和参考[数据准备](tools/data/README.md)准备数据集。
```shell
conda create -n openmmlab python=3.7 -y
conda activate openmmlab
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.1 -c pytorch
# install the latest mmcv
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.7.0/index.html
# install mmclassification mmdetection
pip install mmcls mmdet
# install mmfewshot
git clone https://github.com/open-mmlab/mmfewshot.git
cd mmfewshot
pip install -r requirements/build.txt
pip install -v -e . # or "python setup.py develop"
```
## 快速入门
如果初次了解少样本学习，你可以从[基础介绍](docs/en/intro.md)开始了解少样本学习的基本概念和 MMFewShot 的框架。