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whenxuan: update the readme
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# Channel-Attention
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# Channel-Attention <img width="20%" align="right" src="https://github.com/wwhenxuan/S2Generator/blob/main/docs/source/_static/S2Generator_logo.png?raw=true">
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A plug-and-play channel attention mechanism module implemented in PyTorch.
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## Installation
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<div align="center">
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[Installation](#Installation) | [Usage](#Usage) | [Modules](#Modules) | [Blog](https://mp.weixin.qq.com/s/D6O5SBl2RYHdkiinV6UM8w)
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</div>
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<div align="center">
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[![PyPI version](https://badge.fury.io/py/s2generator.svg)](https://pypi.org/project/s2generator/) ![License](https://img.shields.io/github/license/wwhenxuan/PySDKit) [![Python](https://img.shields.io/badge/python-3.6+-blue?logo=python)](https://www.python.org/) [![PyTorch](https://img.shields.io/badge/PyTorch-2.0.1-blue)](https://pytorch.org/) [![Downloads](https://pepy.tech/badge/s2generator)](https://pepy.tech/project/s2generator) [![codestyle](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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</div>
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## Installation <a id="Installation"></a>
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You can install the package via pip:
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We only develop and test with PyTorch. Please make sure to install it from [PyTorch official website](https://pytorch.org/get-started/locally/) based on your system configuration.
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## Usage
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## Usage <a id="Usage"></a>
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## Modules
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## Modules <a id="Modules"></a>
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