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by default converts the file  mask-roi.txt to mask-nda.txt. Algorithm uses sequential numeration of sensor pixels, shown by color in Fig.4 (left) with following mapping of pixel ROI mask content with ndarray,

Algorithm loops over pixel index ndarrays iX and iY and saves the mask-image status in the output ndarrsy:

mask_nda = np.array( [mask_roi[r,c] for r,c in zip(iX, iY)] )

ROI mask content saved in the ndarray is presented in Fig.4 (right) in specific for CSPAD shape. As a cross-check this ndarray can be converted back to the image using geometry file, as shown in Fig.5.

Image RemovedImage Removed

Image Added 

Fig.43: Mask on the top of enumerated (color-coded) pixels (left) and result of the mask conversion to the ndarray (right).

 As a cross-check this ndarray can be converted back to the image using geometry file, as shown in Fig.4.

Fig.54: Cross-check: ndarray with mask is converted to the image using geometry file.

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[ImgAlgos.NDArrCalib] 
source = DetInfo(:Cspad.0) 
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do_mask    = yes
fname_mask = mask-nda.txt

References

• Mask Editor
• Calibration Management Tool
• Detector Geometry
• CSPAD Alignment
• CSPAD2x2 Alignment
• Module ImgAlgos::NDArrCalib

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