**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
-----------------------------
The following python packages are needed to **CRMask**:
* astropy == 4.x (>= 5.0 will be tested in the future)
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Download crmask.py and crmask.ini, put them in the same directory.
Running it:
./crmask.py your_file.fits your_model
```
./crmask.py your_file.fits your_model
```
where **your\_file.fits** is the filename of the image which you want to do cosmic ray detection, and **your\_model** is the algorithm you select. Available algorithms are _deepCR_ and _lacosmic_.
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# Warning
---------
* 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.
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If you would like use the native training model of deepCR, which are obtained from HST/ACS
