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ISCE_INSAR/components/isceobj/Util/denseoffsets/DenseOffsets.py

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#!/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
import isce
import isceobj
from isceobj.Location.Offset import OffsetField,Offset
from iscesys.Component.Component import Component,Port
from iscesys.Compatibility import Compatibility
Compatibility.checkPythonVersion()
from isceobj.Util import denseoffsets
from isceobj.Util.mathModule import is_power2
import logging
logger = logging.getLogger('isce.Util.denseoffsets')
WINDOW_SIZE_WIDTH = Component.Parameter('windowSizeWidth',
public_name='WINDOW_SIZE_WIDTH',
default=32,
type=int,
mandatory = False,
doc = 'Window width of the reference data window for correlation.')
WINDOW_SIZE_HEIGHT = Component.Parameter('windowSizeHeight',
public_name='WINDOW_SIZE_HEIGHT',
default=32,
type=int,
mandatory=False,
doc = 'Window height of the reference data window for correlation.')
SEARCH_WINDOW_SIZE_WIDTH = Component.Parameter('searchWindowSizeWidth',
public_name='SEARCH_WINDOW_SIZE_WIDTH',
default = 20,
type = int,
mandatory = False,
doc = 'Width of the search data window for correlation.')
SEARCH_WINDOW_SIZE_HEIGHT = Component.Parameter('searchWindowSizeHeight',
public_name='SEARCH_WINDOW_SIZE_HEIGHT',
default=20,
type=int,
mandatory=False,
doc = 'Height of the search data window for correlation.')
ZOOM_WINDOW_SIZE = Component.Parameter('zoomWindowSize',
public_name='ZOOM_WINDOW_SIZE',
default = 8,
type=int,
mandatory=False,
doc = 'Dimensions of the zoom window around first pass correlation peak.')
ACROSS_GROSS_OFFSET = Component.Parameter('acrossGrossOffset',
public_name='ACROSS_GROSS_OFFSET',
default=None,
type=int,
mandatory=False,
doc = 'Offset in the range direction')
DOWN_GROSS_OFFSET = Component.Parameter('downGrossOffset',
public_name='DOWN_GROSS_OFFSET',
default=None,
type=int,
mandatory=False,
doc = 'Offset in the azimuth direction')
BAND1 = Component.Parameter('band1',
public_name='BAND1',
default=None,
type=int,
mandatory=False,
doc = 'Band number for reference image')
BAND2 = Component.Parameter('band2',
public_name='BAND2',
default=None,
type=int,
mandatory=False,
doc = 'Band number for search image')
SKIP_SAMPLE_DOWN = Component.Parameter('skipSampleDown',
public_name='SKIP_SAMPLE_DOWN',
default = None,
type=int,
mandatory=False,
doc = 'Number of samples to skip in azimuth direction')
SKIP_SAMPLE_ACROSS = Component.Parameter('skipSampleAcross',
public_name='SKIP_SAMPLE_ACROSS',
default=None,
type=int,
mandatory=False,
doc = 'Number of samples to skip in range direction')
OVERSAMPLING_FACTOR = Component.Parameter('oversamplingFactor',
public_name='OVERSAMPLING_FACTOR',
default = 16,
type=int,
mandatory=False,
doc = 'Oversampling factor for the correlation surface')
FIRST_SAMPLE_ACROSS = Component.Parameter('firstSampleAcross',
public_name='FIRST_SAMPLE_ACROSS',
default=None,
type=int,
mandatory=False,
doc = 'First pixel in range')
LAST_SAMPLE_ACROSS = Component.Parameter('lastSampleAcross',
public_name='LAST_SAMPLE_ACROSS',
default=None,
type=int,
mandatory=False,
doc = 'Last pixel in range')
FIRST_SAMPLE_DOWN = Component.Parameter('firstSampleDown',
public_name='FIRST_SAMPLE_DOWN',
default=None,
type=int,
mandatory=False,
doc = 'First pixel in azimuth')
LAST_SAMPLE_DOWN = Component.Parameter('lastSampleDown',
public_name='LAST_SAMPLE_DOWN',
default=None,
type=int,
mandatory=False,
doc = 'Last pixel in azimuth')
DOWN_SPACING_PRF1 = Component.Parameter('prf1',
public_name='DOWN_SPACING_PRF1',
default=1.0,
type=float,
mandatory=False,
doc = 'PRF or similar scalefactor for reference image')
DOWN_SPACING_PRF2 = Component.Parameter('prf2',
public_name='DOWN_SPACING_PRF2',
default=1.0,
type=float,
mandatory=False,
doc = 'PRF or similar scalefactor for search image')
ACROSS_SPACING1 = Component.Parameter('rangeSpacing1',
public_name = 'ACROSS_SPACING1',
default=1.0,
type=float,
mandatory=False,
doc = 'Range spacing or similar scale factor for reference image')
ACROSS_SPACING2 = Component.Parameter('rangeSpacing2',
public_name='ACROSS_SPACING2',
default=1.0,
type=float,
mandatory=False,
doc = 'Range spacing or similar scale factor for search image')
ISCOMPLEX_IMAGE1 = Component.Parameter('isComplex1',
public_name='ISCOMPLEX_IMAGE1',
default=None,
type=bool,
mandatory=False,
doc='Is the reference image complex')
ISCOMPLEX_IMAGE2 = Component.Parameter('isComplex2',
public_name='ISCOMPLEX_IMAGE2',
default=None,
type=bool,
mandatory=False,
doc='Is the search image complex.')
MARGIN = Component.Parameter('margin',
public_name='MARGIN',
default=0,
type=int,
mandatory=False,
doc='Margin around the image to avoid')
DEBUG_FLAG = Component.Parameter('debugFlag',
public_name='DEBUG_FLAG',
default='n',
type=str,
mandatory=False,
doc = 'Print debug information.')
OFFSET_IMAGE_NAME = Component.Parameter('offsetImageName',
public_name='OFFSET_IMAGE_NAME',
default='pixel_offsets.bil',
type=str,
mandatory=False,
doc = 'BIL pixel offset file')
SNR_IMAGE_NAME = Component.Parameter('snrImageName',
public_name='SNR_IMAGE_NAME',
default = 'pixel_offsets_snr.rdr',
type=str,
mandatory=False,
doc = 'SNR of the pixel offset estimates')
NORMALIZE_FLAG = Component.Parameter('normalize',
public_name='NORMALIZE_FLAG',
default=True,
type=bool,
mandatory=False,
doc = "False = Acchen's code and True = Ampcor hybrid")
class DenseOffsets(Component):
family = 'denseoffsets'
logging_name = 'isce.isceobj.denseoffsets'
parameter_list = (WINDOW_SIZE_WIDTH,
WINDOW_SIZE_HEIGHT,
SEARCH_WINDOW_SIZE_WIDTH,
SEARCH_WINDOW_SIZE_HEIGHT,
ZOOM_WINDOW_SIZE,
OVERSAMPLING_FACTOR,
ACROSS_GROSS_OFFSET,
DOWN_GROSS_OFFSET,
SKIP_SAMPLE_ACROSS,
SKIP_SAMPLE_DOWN,
DOWN_SPACING_PRF1,
DOWN_SPACING_PRF2,
ACROSS_SPACING1,
ACROSS_SPACING2,
FIRST_SAMPLE_ACROSS,
LAST_SAMPLE_ACROSS,
FIRST_SAMPLE_DOWN,
LAST_SAMPLE_DOWN,
BAND1,
BAND2,
ISCOMPLEX_IMAGE1,
ISCOMPLEX_IMAGE2,
DEBUG_FLAG,
OFFSET_IMAGE_NAME,
SNR_IMAGE_NAME,
NORMALIZE_FLAG)
def denseoffsets(self,image1 = None,image2 = None, band1=None, band2=None):
if image1 is not None:
self.image1 = image1
if (self.image1 == None):
raise ValueError("Error. master image not set.")
if image2 is not None:
self.image2 = image2
if (self.image2 == None):
raise ValueError("Error. slave image not set.")
if band1 is not None:
self.band1 = int(band1)
if self.band1 >= self.image1.bands:
raise ValueError('Requesting band %d from image with %d bands'%(self.band1+1, self.image1.bands))
if band2 is not None:
self.band2 = int(band2)
if self.band2 >= self.image2.bands:
raise ValueError('Requesting band %d from image with %d bands'%(self.band2+1, self.image2.bands))
print('Bands: %d %d'%(self.band1,self.band2))
bAccessor1 = self.image1.getImagePointer()
bAccessor2 = self.image2.getImagePointer()
self.lineLength1 = self.image1.getWidth()
self.fileLength1 = self.image1.getLength()
self.lineLength2 = self.image2.getWidth()
self.fileLength2 = self.image2.getLength()
if not self.skipSampleAcross:
raise ValueError('Skip Sample Across across has not been set')
if not self.skipSampleDown:
raise ValueError('Skip Sample Down has not been set')
######Sanity checks
self.checkTypes()
self.checkWindows()
self.checkImageLimits()
#####Create output images
self.outLines = (self.lastSampleDown - self.firstSampleDown) // (self.skipSampleDown)
self.outSamples = (self.lastSampleAcross - self.firstSampleAcross) // (self.skipSampleAcross)
offImage = isceobj.createImage()
offImage.dataType = 'FLOAT'
offImage.scheme = 'BIL'
offImage.bands = 2
offImage.setAccessMode('write')
offImage.setWidth(self.outSamples)
offImage.setLength(self.outLines)
offImage.setFilename(self.offsetImageName)
offImage.createImage()
offImageAcc = offImage.getImagePointer()
snrImage = isceobj.createImage()
snrImage.dataType = 'FLOAT'
snrImage.scheme='BIL'
snrImage.bands = 1
snrImage.setAccessMode('write')
snrImage.setWidth(self.outSamples)
snrImage.setLength(self.outLines)
snrImage.setFilename(self.snrImageName)
snrImage.createImage()
snrImageAcc = snrImage.getImagePointer()
self.setState()
denseoffsets.denseoffsets_Py(bAccessor1,bAccessor2,offImageAcc,snrImageAcc)
offImage.finalizeImage()
snrImage.finalizeImage()
offImage.renderHdr()
snrImage.renderHdr()
return
def checkTypes(self):
'''Check if the image datatypes are set.'''
if not self.isComplex1:
self.isComplex1 = self.image1.getDataType().upper().startswith('C')
else:
if not isinstance(self.isComplex1, bool):
raise ValueError('isComplex1 must be boolean')
if not self.isComplex2:
self.isComplex2 = self.image2.getDataType().upper().startswith('C')
else:
if not isinstance(self.isComplex2, bool):
raise ValueError('isComplex2 must be boolean')
return
def checkWindows(self):
'''
Ensure that the window sizes are valid for the code to work.
'''
# if not is_power2(self.windowSizeWidth):
# raise ValueError('Window size width needs to be power of 2.')
if (self.windowSizeWidth%2 ==1):
raise ValueError('Window size width needs to be even.')
# if not is_power2(self.windowSizeHeight):
# raise ValueError('Window size height needs to be power of 2.')
if (self.windowSizeHeight%2 ==1):
raise ValueError('Window size height needs to be even.')
if not is_power2(self.zoomWindowSize):
raise ValueError('Zoom window size needs to be a power of 2.')
if not is_power2(self.oversamplingFactor):
raise ValueError('Oversampling factor needs to be a power of 2.')
if self.searchWindowSizeWidth >= (2*self.windowSizeWidth):
raise ValueError('Search Window Size Width should be < = 2 * Window Size Width')
if self.searchWindowSizeHeight >= (2*self.searchWindowSizeHeight):
raise ValueError('Search Window Size Height should be <= 2 * Window Size Height')
if self.zoomWindowSize >= self.searchWindowSizeWidth:
raise ValueError('Zoom window size should be <= Search window size width')
if self.zoomWindowSize >= self.searchWindowSizeHeight:
raise ValueError('Zoom window size should be <= Search window size height')
return
def checkImageLimits(self):
'''
Check if the first and last samples are set correctly.
'''
scaleFactorY = self.prf2 / self.prf1
if (scaleFactorY < 0.9) or (scaleFactorY > 1.1):
raise ValueError('Module designed for scale factors in range 0.9 - 1.1. Requested scale factor = %f'%(scaleFactorY))
self.scaleFactorY = scaleFactorY
scaleFactorX = self.rangeSpacing1 / self.rangeSpacing2
if (scaleFactorX < 0.9) or (scaleFactorX > 1.1):
raise ValueError('Module designed for scale factors in range 0.9 - 1.1. Requested scale factor = %d'%(scaleFactorX))
self.scaleFactorX = scaleFactorX
if self.firstSampleDown is None:
self.firstSampleDown = 0
if self.lastSampleDown is None:
self.lastSampleDown = self.fileLength1-1
if self.firstSampleAcross is None:
self.firstSampleAcross = 1
if self.lastSampleAcross is None:
self.lastSampleAcross = self.lineLength1-1
if self.firstSampleAcross < 0:
raise ValueError('First sample of reference image is not positive.')
if self.firstSampleDown < 0:
raise ValueError('First line of reference image is not positive.')
if self.lastSampleAcross >= self.lineLength1:
raise ValueError('Last sample of reference image is greater than line length.')
if self.lastSampleDown >= self.fileLength1:
raise ValueError('Last Line of reference image is greater than line length.')
return
def setState(self):
denseoffsets.setLineLength1_Py(int(self.lineLength1))
denseoffsets.setFileLength1_Py(int(self.fileLength1))
denseoffsets.setLineLength2_Py(int(self.lineLength2))
denseoffsets.setFileLength2_Py(int(self.fileLength2))
denseoffsets.setFirstSampleAcross_Py(int(self.firstSampleAcross))
denseoffsets.setLastSampleAcross_Py(int(self.lastSampleAcross))
denseoffsets.setSkipSampleAcross_Py(int(self.skipSampleAcross))
denseoffsets.setFirstSampleDown_Py(int(self.firstSampleDown))
denseoffsets.setLastSampleDown_Py(int(self.lastSampleDown))
denseoffsets.setSkipSampleDown_Py(int(self.skipSampleDown))
denseoffsets.setAcrossGrossOffset_Py(int(self.acrossGrossOffset))
denseoffsets.setDownGrossOffset_Py(int(self.downGrossOffset))
denseoffsets.setScaleFactorX_Py(float(self.scaleFactorX))
denseoffsets.setScaleFactorY_Py(float(self.scaleFactorY))
denseoffsets.setDebugFlag_Py(self.debugFlag)
denseoffsets.setWindowSizeWidth_Py(int(self.windowSizeWidth))
denseoffsets.setWindowSizeHeight_Py(int(self.windowSizeHeight))
denseoffsets.setSearchWindowSizeHeight_Py(int(self.searchWindowSizeHeight))
denseoffsets.setSearchWindowSizeWidth_Py(int(self.searchWindowSizeWidth))
denseoffsets.setZoomWindowSize_Py(self.zoomWindowSize)
denseoffsets.setOversamplingFactor_Py(self.oversamplingFactor)
denseoffsets.setIsComplex1_Py(int(self.isComplex1))
denseoffsets.setIsComplex2_Py(int(self.isComplex2))
denseoffsets.setBand1_Py(int(self.band1))
denseoffsets.setBand2_Py(int(self.band2))
denseoffsets.setNormalizeFlag_Py(int(self.normalize))
return
def setLineLength1(self,var):
self.lineLength1 = int(var)
return
def setLineLength2(self, var):
self.LineLength2 = int(var)
return
def setFileLength1(self,var):
self.fileLength1 = int(var)
return
def setFileLength2(self, var):
self.fileLength2 = int(var)
def setFirstSampleAcross(self,var):
self.firstSampleAcross = int(var)
return
def setLastSampleAcross(self,var):
self.lastSampleAcross = int(var)
return
def setSkipSampleAcross(self,var):
self.skipSampleAcross = int(var)
return
def setFirstSampleDown(self,var):
self.firstSampleDown = int(var)
return
def setLastSampleDown(self,var):
self.lastSampleDown = int(var)
return
def setSkipSampleDown(self,var):
self.skipSampleDown = int(var)
return
def setAcrossGrossOffset(self,var):
self.acrossGrossOffset = int(var)
return
def setDownGrossOffset(self,var):
self.downGrossOffset = int(var)
return
def setFirstPRF(self,var):
self.prf1 = float(var)
return
def setSecondPRF(self,var):
self.prf2 = float(var)
return
def setDebugFlag(self,var):
self.debugFlag = str(var)
return
def setMasterImage(self,im):
self.image1 = im
return
def setSlaveImage(self,im):
self.image2 = im
return
def setWindowSizeWidth(self, var):
temp = int(var)
if (temp%2 == 1):
raise ValueError('Window size width needs to be even.')
self.windowSizeWidth = temp
def setWindowSizeHeight(self, var):
temp = int(var)
if (temp%2 == 1):
raise ValueError('Window size height needs to be even.')
self.windowSizeHeight = temp
def setZoomWindowSize(self, var):
temp = int(var)
if not is_power2(temp):
raise ValueError('Zoom window size needs to be a power of 2.')
self.zoomWindowSize = temp
def setOversamplingFactor(self, var):
temp = int(var)
if not is_power2(temp):
raise ValueError('Oversampling factor needs to be a power of 2.')
self.oversamplingFactor = temp
def setSearchWindowSizeWidth(self, var):
temp = int(var)
if (temp%2 == 1):
raise ValueError('Search Window Size width needs to be even.')
self.searchWindowSizeWidth = temp
def setSearchWindowSizeHeight(self, var):
temp = int(var)
if (temp%2 == 1):
raise ValueError('Search Window Size height needs to be even.')
self.searchWindowSizeHeight = temp
def setNormalizeFlag(self, var):
self.normalize = var
def __init__(self, name=''):
super(DenseOffsets,self).__init__(family=self.__class__.family, name=name)
self.lineLength1 = None
self.lineLength2 = None
self.fileLength1 = None
self.fileLength2 = None
self.scaleFactorX = None
self.scaleFactorY = None
self.outLines = None
self.outSamples = None
self.dictionaryOfVariables = {
'LENGTH1' : ['lineLength1', 'int','mandatory'],
'LENGTH2' : ['lineLength2', 'int', 'mandatory'],
'F_LENGTH1' : ['fileLength1', 'int','mandatory'],
'F_LENGTH2' : ['fileLength2', 'int', 'mandatory'],
'FIRST_SAMPLE_ACROSS' : ['firstSampleAcross', 'int','mandatory'],
'LAST_SAMPLE_ACROSS' : ['lastSampleAcross', 'int','mandatory'],
'NUMBER_LOCATION_ACROSS' : ['numberLocationAcross', 'int','mandatory'],
'FIRST_SAMPLE_DOWN' : ['firstSampleDown', 'int','mandatory'],
'LAST_SAMPLE_DOWN' : ['lastSampleDown', 'int','mandatory'],
'NUMBER_LOCATION_DOWN' : ['numberLocationDown', 'int','mandatory'],
'ACROSS_GROSS_OFFSET' : ['acrossGrossOffset', 'int','optional'],
'DOWN_GROSS_OFFSET' : ['downGrossOffset', 'int','optional'],
'PRF1' : ['prf1', 'float','optional'],
'PRF2' : ['prf2', 'float','optional'],
'DEBUG_FLAG' : ['debugFlag', 'str','optional'],
'SEARCH_WINDOW_SIZE' : ['searchWindowSize', 'int', 'optional'],
'WINDOW_SIZE' : ['windowSize', 'int', 'optional']
}
self.dictionaryOfOutputVariables = {
'LENGTH' : 'outLines', \
'WIDTH' : 'outSamples', \
'OFFSETIMAGE' : 'offsetImageName', \
'SNRIMAGE' : 'snrImageName'
}
self.descriptionOfVariables = {}
self.mandatoryVariables = []
self.optionalVariables = []
self.initOptionalAndMandatoryLists()
return
#end class
if __name__ == "__main__":
from iscesys.ImageUtil.ImageUtil import ImageUtil as IU
from isceobj import Constants as CN
def load_pickle(step='formslc'):
import cPickle
insarObj = cPickle.load(open('PICKLE/{0}'.format(step), 'rb'))
return insarObj
def runDenseOffset(insar):
from isceobj.Catalog import recordInputs
masterFrame = insar.getMasterFrame()
slaveFrame = insar.getSlaveFrame()
masterOrbit = insar.getMasterOrbit()
slaveOrbit = insar.getSlaveOrbit()
prf1 = masterFrame.getInstrument().getPulseRepetitionFrequency()
prf2 = slaveFrame.getInstrument().getPulseRepetitionFrequency()
nearRange1 = insar.formSLC1.startingRange
nearRange2 = insar.formSLC2.startingRange
fs1 = masterFrame.getInstrument().getRangeSamplingRate()
###There seems to be no other way of determining image length - Piyush
patchSize = insar.getPatchSize()
numPatches = insar.getNumberPatches()
valid_az_samples = insar.getNumberValidPulses()
firstAc = insar.getFirstSampleAcrossPrf()
firstDown = insar.getFirstSampleDownPrf()
objSlc = insar.getMasterSlcImage()
widthSlc = objSlc.getWidth()
coarseRange = (nearRange1 - nearRange2) / (CN.SPEED_OF_LIGHT / (2 * fs1))
coarseAcross = int(coarseRange + 0.5)
if(coarseRange <= 0):
coarseAcross = int(coarseRange - 0.5)
time1, schPosition1, schVelocity1, offset1 = masterOrbit._unpackOrbit()
time2, schPosition2, schVelocity2, offset2 = slaveOrbit._unpackOrbit()
s1 = schPosition1[0][0]
s1_2 = schPosition1[1][0]
s2 = schPosition2[0][0]
s2_2 = schPosition2[1][0]
coarseAz = int(
(s1 - s2)/(s2_2 - s2) + prf2*(1/prf1 - 1/prf2)*
(patchSize - valid_az_samples)/2
)
coarseDown = int(coarseAz + 0.5)
if(coarseAz <= 0):
coarseDown = int(coarseAz - 0.5)
pass
coarseAcross = 0 + coarseAcross
coarseDown = 0 + coarseDown
mSlcImage = insar.getMasterSlcImage()
mSlc = isceobj.createSlcImage()
IU.copyAttributes(mSlcImage, mSlc)
# scheme = 'BIL'
# mSlc.setInterleavedScheme(scheme) #Faster access with bands
accessMode = 'read'
mSlc.setAccessMode(accessMode)
mSlc.createImage()
sSlcImage = insar.getSlaveSlcImage()
sSlc = isceobj.createSlcImage()
IU.copyAttributes(sSlcImage, sSlc)
# scheme = 'BIL'
# sSlc.setInterleavedScheme(scheme) #Faster access with bands
accessMode = 'read'
sSlc.setAccessMode(accessMode)
sSlc.createImage()
objOffset = isceobj.Util.createDenseOffsets(name='dense')
mWidth = mSlc.getWidth()
sWidth = sSlc.getWidth()
mLength = mSlc.getLength()
sLength = sSlc.getLength()
print('Gross Azimuth Offset: %d'%(coarseDown))
print('Gross Range Offset: %d'%(coarseAcross))
objOffset.setFirstSampleAcross(0)
objOffset.setLastSampleAcross(mWidth-1)
objOffset.setFirstSampleDown(0)
objOffset.setLastSampleDown(mLength-1)
objOffset.setSkipSampleAcross(20)
objOffset.setSkipSampleDown(20)
objOffset.setAcrossGrossOffset(int(coarseAcross))
objOffset.setDownGrossOffset(int(coarseDown))
###Always set these values
objOffset.setFirstPRF(prf1)
objOffset.setSecondPRF(prf2)
outImages = objOffset.denseoffsets(image1=mSlc,image2=sSlc,band1=0,band2=0)
mSlc.finalizeImage()
sSlc.finalizeImage()
return
####The main program
iObj = load_pickle()
print('Done loading pickle')
runDenseOffset(iObj)