/usr/bin/eiger-mask is in pyfai 0.11.0+dfsg-3build1.
This file is owned by root:root, with mode 0o755.
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# coding: UTF-8
# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
#
# Project: Azimuthal integration
# https://github.com/pyFAI/pyFAI
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
"""
eiger-mask
A tool for extracting the mask from an Eiger master file.
$ eiger-mask master.h5
"""
__author__ = "Jerome Kieffer"
__contact__ = "Jerome.Kieffer@ESRF.eu"
__license__ = "GPLv3+"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "16/03/2015"
__satus__ = "development"
import os
import sys
import h5py
import numpy
import fabio
def extract_mask(infile):
"""
Retrieve the mask from an Eiger master file.
@param infile: name of the Eiger master file
"""
h = h5py.File(infile, "r")
entry = h["entry"]
instrument = entry["instrument"]
detector = instrument["detector"]
detectorSpecific = detector["detectorSpecific"]
return detectorSpecific["pixel_mask"].value
if __name__ == "__main__":
infile = os.path.abspath(sys.argv[1])
if len(sys.argv) > 2:
outfile = sys.argv[2]
else:
outfile = os.path.splitext(infile)[0] + "_mask.edf"
mask = extract_mask(infile)
if outfile.endswith("msk"):
fabio.fit2dmaskimage.fit2dmaskimage(data=mask).write(outfile)
elif outfile.endswith("tif"):
fabio.tifimage.tifimage(data=mask).write(outfile)
else:
fabio.edfimage.edfimage(header={"data_file": infile}, data=mask).write(outfile)
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