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#!/usr/bin/env python
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2016-2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
"""Example demonstrating the use of the widget CompareImages
"""
import sys
import logging
import numpy
import argparse
import silx.io
from silx.gui import qt
import silx.test.utils
from silx.gui.plot.CompareImages import CompareImages
_logger = logging.getLogger(__name__)
try:
import fabio
except ImportError:
_logger.debug("Backtrace", exc_info=True)
fabio = None
try:
import PIL
except ImportError:
_logger.debug("Backtrace", exc_info=True)
PIL = None
def createTestData():
data = numpy.arange(100 * 100)
data = (data % 100) / 5.0
data = numpy.sin(data)
data1 = data.copy()
data1.shape = 100, 100
data2 = silx.test.utils.add_gaussian_noise(data, stdev=0.1)
data2.shape = 100, 100
return data1, data2
def loadImage(filename):
try:
return silx.io.get_data(filename)
except Exception:
_logger.debug("Error while loading image with silx.io", exc_info=True)
if fabio is None and PIL is None:
raise ImportError("fabio nor PIL are available")
if fabio is not None:
try:
return fabio.open(filename).data
except Exception:
_logger.debug("Error while loading image with fabio", exc_info=True)
if PIL is not None:
try:
return numpy.asarray(PIL.Image.open(filename))
except Exception:
_logger.debug("Error while loading image with PIL", exc_info=True)
raise Exception("Impossible to load '%s' with the available image libraries" % filename)
file_description = """
Image data to compare (HDF5 file with path, EDF files, JPEG/PNG image files).
Data from HDF5 files can be accessed using dataset path and slicing as an URL: silx:../my_file.h5?path=/entry/data&slice=10
EDF file frames also can can be accessed using URL: fabio:../my_file.edf?slice=10
Using URL in command like usually have to be quoted: "URL".
"""
def createParser():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
'files',
nargs=argparse.ZERO_OR_MORE,
help=file_description)
parser.add_argument(
'--debug',
dest="debug",
action="store_true",
default=False,
help='Set logging system in debug mode')
parser.add_argument(
'--testdata',
dest="testdata",
action="store_true",
default=False,
help='Use synthetic images to test the application')
parser.add_argument(
'--use-opengl-plot',
dest="use_opengl_plot",
action="store_true",
default=False,
help='Use OpenGL for plots (instead of matplotlib)')
return parser
if __name__ == "__main__":
parser = createParser()
options = parser.parse_args(sys.argv[1:])
if options.debug:
logging.root.setLevel(logging.DEBUG)
if options.testdata:
_logger.info("Generate test data")
data1, data2 = createTestData()
else:
if len(options.files) != 2:
raise Exception("Expected 2 images to compare them")
data1 = loadImage(options.files[0])
data2 = loadImage(options.files[1])
if options.use_opengl_plot:
backend = "gl"
else:
backend = "mpl"
app = qt.QApplication([])
window = CompareImages(backend=backend)
window.setData(data1, data2)
window.setVisible(True)
app.exec_()
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