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Launching this app with -h option gives enough information about its functionality. In this note we demonstrate graphical content of the files generate in examples for this procedure.
Command
sit_setup
roicon -h
print help message with detailed description of three commands, brief command examples, and the list of optional parameters:
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[ImgAlgos.NDArrCalib] source = DetInfo(:Cspad.0) ... do_mask = yes fname_mask = mask-nda.txt |
ROI mask for ndarray (or numpy array) can also be used in any stand-alone application, for example in python code. To apply the mask in python code the data numpy array should be multiplied by the mask numpy array.
Examples
Mask for CSPAD2x2
Let us to produce mask for CSPAD2x2 with discarded edge, middle columns, unbounded pixels:
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cd <some-directory>
sit_setup
cp /reg/g/psdm/detector/alignment/cspad2x2/calib-cspad2x2-01-2013-02-13/calib/CsPad2x2::CalibV1/MecTargetChamber.0:Cspad2x2.1/geometry/0-end.data geo2x2.data
roicon -p1 -g geo2x2.data -c 15 -i mask-img.npy
roicon -p3 -g geo2x2.data -m mask-img.npy -n mask-nda.txt |
Popping up monitoring images should be closed by pressing on in the right window corner. This lets script to run until the end. Resulting file with CSPAD2x2 mask array in text format will be in the file mask-nda.txt
(with 0/1 ordered the same way like in data of size 185*388*2 ). To check content use command:
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plims -v mask-nda.txt |
where plims
converts CSPAD2x2 (185,388,2) ndarray in naturally looking 2-d image adding extra-columns and rows in the middle.
Implementation of the ROI mask conversion algorithms in calibman
The same algorithms are implemented in the Calibration Management Tool as a GUI under the tab "ROI". The files with ndarray and geometry constants should be selected as input parameters. The names of other intermediate output files are optional. Three procedures for image reconstruction, mask editor, and mask conversion can be performed sequentially by clicking on relevant buttons. All files and images can be "Plot"-ted and "View"-ed. For now, mask file is saved in the work directory and is not deployed. In stead, its path could be used in the ImgAlgos.NDArrCalib module.
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