#!/usr/bin/env python3 #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Copyright 2012 California Institute of Technology. ALL RIGHTS RESERVED. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # United States Government Sponsorship acknowledged. This software is subject to # U.S. export control laws and regulations and has been classified as 'EAR99 NLR' # (No [Export] License Required except when exporting to an embargoed country, # end user, or in support of a prohibited end use). By downloading this software, # the user agrees to comply with all applicable U.S. export laws and regulations. # The user has the responsibility to obtain export licenses, or other export # authority as may be required before exporting this software to any 'EAR99' # embargoed foreign country or citizen of those countries. # # Author: Giangi Sacco #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ from __future__ import print_function from isceobj.Location.Offset import OffsetField,Offset from iscesys.Component.Component import Component,Port from iscesys.Compatibility import Compatibility Compatibility.checkPythonVersion() from isceobj.Histogram import histogram as hist import logging logger = logging.getLogger('isce.Util.histogram') FILE_NAME = Component.Parameter('fileName', public_name='FILE_NAME', default=None, type=str, mandatory=False, doc = 'Input filename') NUMBER_BINS = Component.Parameter('numberBins', public_name = 'NUMBER_BINS', default = 40, type=int, mandatory=False, doc = 'Number of quantile bins') NULL_VALUE = Component.Parameter('nullValue', public_name = 'NULL_VALUE', default = 0.0, type = float, mandatory = False, doc = 'Null value in data') class Histogram(Component): family = 'histogram' logging_name = 'isce.isceobj.histogram' parameter_list = (FILE_NAME, NUMBER_BINS, NULL_VALUE,) def histogram(self): self.createImage() accessor = self.image.getImagePointer() if self.image.dataType.upper().startswith('C'): raise NotImplementedError('Histograms for complex images have not yet been implemented. Might be more efficient to set up filters for amp / phase for complex images and use those as input') self.results = hist.complexHistogram_Py(accessor,self.numberBins, self.nullValue) else: self.results = hist.realHistogram_Py(accessor, self.numberBins, self.nullValue) self.image.finalizeImage() return def createImage(self): ''' Create an image object to pass to C extension. ''' from isceobj.Util.ImageUtil import ImageLib as IML img = IML.loadImage(self.fileName)[0] if img.dataType.upper().startswith('C'): img.setCaster('read','CDOUBLE') else: img.setCaster('read', 'DOUBLE') self.image = img self.image.createImage() def getStats(self): return self.results def __init__(self, name=''): super(Histogram,self).__init__(family=self.__class__.family, name=name) self.image = None self.results = None self.dictionaryOfOutputVariables = {} self.descriptionOfVariables = {} self.mandatoryVariables = [] self.optionalVariables = [] self.initOptionalAndMandatoryLists() return #end class if __name__ == '__main__': ''' Main driver. ''' def cmdLineParse(): ''' Command line parser. ''' parser = argparse.ArgumentParser(description='Compute histogram') parser.add_argument('-i', '--input', dest='infile', type=str, required=True, help = 'Input file to analyze') parser.add_argument('-b', '--bins', dest='numbins', type=int, default=40, help = 'Number of bins') parser.add_argument('-n', '--null', dest='nullval', type=float, default=0.0, help='Null value for data') return parser.parse_args() inps = cmdLineParse() hist = Histogram() hist.fileName = inps.infile hist.numberBins = inps.numbins hist.nullValue = inps.nullval hist.histogram() ###Show stats for band 1 of the image quants, vals = hist.getStats()[0] for x,y in zip(quants,vals): print('QUANT: {0} VALUE: {1}'.format(100*x,y))