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	修改：     README.md

README.md

 # CSST-COMMOM-CRMASK - Introduction
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 **CRMask** is a module for detecting cosmic rays on the CSST images using state-of-art models. It should be also applied for images from other telescopes, as long as the images have the same data structure as that of CSST.
 
 # Python package dependencies
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 The following python packages are needed to **CRMask**:
 
 * astropy == 4.x (>= 5.0 will be tested in the future) 
@@ -22,7 +21,6 @@ sudo apt install python3-numpy python3-scipy python3-matplotlib python3-astropy
 sudo python3 -m pip install pytorch deepCR
 ```
 # Usage
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 Download crmask.py and crmask.ini, put them in the same directory.
 
@@ -44,7 +42,6 @@ where **your\_file.fits** is the filename of the image which you want to do cosm
 -->
 
 # Warning
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 * The default training model of deepCR are obtained from HST/ACS data by Zhang and Bloom (2020). If you would like to use the native model rather than the model **CSST\_2021-12-30\_CCD23\_epoch20.pth** obtained from CSST simulated data by **Hu Yi**, you must also change the **hidden** parameters in the configuration file **crmask.ini** to 32. 
 
@@ -54,6 +51,5 @@ If you would like use the native training model of deepCR, which are obtained fr
 如果使用deepCR自带用HST/ACS数据训练得到的模型，在配置文件中，要将hidden这个配置参数改为32。-->
 
 # Bugs
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 Please contact **_HU Yi_** (huyi.naoc@gmail.com) to report bugs.