def getComputeModulusAndPhase(available_app, original_dom_document):
"""
Split the application according the field nbinput.
For each of the resulting apps, give a new name.
"""
the_root = original_dom_document
split = split_by_choice(the_root, 'nbinput')
the_list = []
for key in split:
if key == 'one':
the_doc = split[key]
old_app_name = the_doc.find('key').text
the_doc.find('key').text = '%s-%s' % (old_app_name, 'OneEntry')
the_doc.find('longname').text = '%s (%s)' % (old_app_name,
'OneEntry')
defaultWrite('%s-%s' % (available_app, 'OneEntry'), the_doc)
the_list.append(the_doc)
else:
the_doc = split[key]
old_app_name = the_doc.find('key').text
the_doc.find('key').text = '%s-%s' % (old_app_name, 'TwoEntries')
the_doc.find('longname').text = '%s (%s)' % (old_app_name,
'TwoEntries')
defaultWrite('%s-%s' % (available_app, 'TwoEntries'), the_doc)
the_list.append(the_doc)
return the_list
def getExtractROI(available_app, original_dom_document):
"""
Split by mode (standard, fit)
Adapt parameters of each resulting app.
Delete GEOID and DEM parameter as they are not updated at the creation of the otb algorithms when you launch QGIS.
The values are picked from the settings.
"""
the_root = original_dom_document
remove_parameter_by_key(the_root, 'cl')
deleteGeoidSrtm(the_root)
split = split_by_choice(the_root, 'mode')
the_list = []
for key in split:
if key == 'standard':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'mode.fit.elev.dem')
remove_parameter_by_key(the_doc, 'mode.fit.elev.geoid')
remove_parameter_by_key(the_doc, 'mode.fit.elev.default')
remove_parameter_by_key(the_doc, 'mode.fit.ref')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
else:
#key == 'fit'
the_doc = split[key]
remove_parameter_by_key(the_doc, 'startx')
remove_parameter_by_key(the_doc, 'starty')
remove_parameter_by_key(the_doc, 'sizex')
remove_parameter_by_key(the_doc, 'sizey')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(split[key])
return the_list
def getComputePolylineFeatureFromImage(available_app, original_dom_document):
"""
Delete GEOID and DEM parameter as they are not updated at the creation of the otb algorithms when you launch QGIS.
The values are picked from the settings.
"""
the_root = original_dom_document
deleteGeoidSrtm(the_root)
defaultWrite(available_app, the_root)
return [the_root]
def getCompareImages(available_app, original_dom_document):
"""
Remove mse, mae, psnr as they are output of the algorithm.
"""
the_root = original_dom_document
remove_parameter_by_key(the_root, 'mse')
remove_parameter_by_key(the_root, 'mae')
remove_parameter_by_key(the_root, 'psnr')
defaultWrite(available_app, the_root)
return [the_root]
def getRadiometricIndices(available_app, original_dom_document):
"""
These 3 indices are missing. Remove them from the list.
"""
the_root = original_dom_document
remove_choice(the_root, 'list', 'laindvilog')
remove_choice(the_root, 'list', 'lairefl')
remove_choice(the_root, 'list', 'laindviformo')
defaultWrite(available_app, the_root)
return [the_root]
def getFusionOfClassifications(available_app, original_dom_document):
"""
Split by method of fusion of classification (dempstershafer, majorityvoting)
"""
the_root = original_dom_document
split = split_by_choice(the_root, 'method')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getPansharpening(available_app, original_dom_document):
"""
Split by method (bayes, lmvm, rcs)
"""
the_root = original_dom_document
split = split_by_choice(the_root, 'method')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getImageEnvelope(available_app, original_dom_document):
"""
Delete GEOID and DEM parameter as they are not updated at the creation of the otb algorithms when you launch QGIS.
The values are picked from the settings.
"""
the_root = original_dom_document
remove_parameter_by_key(the_root, 'elev.default')
remove_parameter_by_key(the_root, 'elev.geoid')
remove_parameter_by_key(the_root, 'elev.dem')
defaultWrite(available_app, the_root)
return [the_root]
def getRigidTransformResample(available_app, original_dom_document):
"""
split by transformation (id, rotation, translation)
"""
the_root = original_dom_document
split = split_by_choice(the_root, 'transform.type')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getTrainVectorClassifier(available_app, original_dom_document):
"""
Split by classifier (ann, dt, gbt, knn, libsvm, rf)
Delete GEOID and DEM parameter as they are not updated at the creation of the otb algorithms when you launch QGIS.
The values are picked from the settings.
"""
the_root = original_dom_document
deleteGeoidSrtm(the_root)
split = split_by_choice(the_root, 'classifier')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getEdgeExtraction(available_app, original_dom_document):
"""
Let ball as only available filter (not an oval).
Split the application according to its filter gradient, sobel, touzi.
"""
the_root = original_dom_document
renameValueField(the_root, 'filter.touzi.xradius', 'name', 'The Radius')
renameValueField(the_root, 'filter.touzi.xradius', 'description',
'The Radius')
remove_parameter_by_key(the_root, 'filter.touzi.yradius')
split = split_by_choice(the_root, 'filter')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getOpticalCalibration(available_app, original_dom_document):
"""
Remove toc options (let toa) and remove all about atmo
"""
#the_list = defaultSplit(available_app, original_dom_document, 'level')
the_root = original_dom_document
remove_independent_choices(the_root, 'level', 'toc')
remove_choice(the_root, 'level', 'toc')
remove_parameter_by_key(the_root, 'atmo.aerosol')
remove_parameter_by_key(the_root, 'atmo.oz')
remove_parameter_by_key(the_root, 'atmo.wa')
remove_parameter_by_key(the_root, 'atmo.pressure')
remove_parameter_by_key(the_root, 'atmo.opt')
remove_parameter_by_key(the_root, 'atmo.aeronet')
remove_parameter_by_key(the_root, 'radius')
defaultWrite(available_app, the_root)
return [the_root]
def getSegmentation(available_app, original_dom_document):
"""
Remove the choice raster and split by filter (cc, edison, meanshift, mprofiles, watershed)
"""
the_root = original_dom_document
#remove_choice(the_root, 'filter', 'edison')
#remove_independent_choices(the_root, 'filter', 'edison')
#remove_choice(the_root, 'filter', 'meanshift')
#remove_independent_choices(the_root, 'filter', 'meanshift')
remove_choice(the_root, 'mode', 'raster')
remove_independent_choices(the_root, 'mode', 'raster')
split = split_by_choice(the_root, 'filter')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getComputeConfusionMatrix(available_app, original_dom_document):
"""
Split by ref (raster, vector)
"""
the_root = original_dom_document
#remove_independent_choices(the_root, 'ref', 'vector')
#remove_choice(the_root, 'ref', 'vector')
#defaultWrite(available_app, the_root)
split = split_by_choice(the_root, 'ref')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
return [the_root]
def getColorMapping(available_app, original_dom_document):
"""
Remove the option colortolabel
Split by method : custom, continuous, optimal and image and adapt parameters of each resulting app
"""
the_root = original_dom_document
remove_independent_choices(the_root, 'op', 'colortolabel')
remove_choice(the_root, 'op', 'colortolabel')
split = split_by_choice(the_root, 'method')
the_list = []
for key in split:
if key == 'custom':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'method.continuous.lut')
remove_parameter_by_key(the_doc, 'method.continuous.min')
remove_parameter_by_key(the_doc, 'method.continuous.max')
remove_parameter_by_key(the_doc, 'method.optimal.background')
remove_parameter_by_key(the_doc, 'method.image.in')
remove_parameter_by_key(the_doc, 'method.image.low')
remove_parameter_by_key(the_doc, 'method.image.up')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
elif key == 'continuous':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'method.custom.lut')
remove_parameter_by_key(the_doc, 'method.optimal.background')
remove_parameter_by_key(the_doc, 'method.image.in')
remove_parameter_by_key(the_doc, 'method.image.low')
remove_parameter_by_key(the_doc, 'method.image.up')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
elif key == 'optimal':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'method.custom.lut')
remove_parameter_by_key(the_doc, 'method.continuous.lut')
remove_parameter_by_key(the_doc, 'method.continuous.min')
remove_parameter_by_key(the_doc, 'method.continuous.max')
remove_parameter_by_key(the_doc, 'method.image.in')
remove_parameter_by_key(the_doc, 'method.image.low')
remove_parameter_by_key(the_doc, 'method.image.up')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
else:
#key == 'image'
the_doc = split[key]
remove_parameter_by_key(the_doc, 'method.custom.lut')
remove_parameter_by_key(the_doc, 'method.continuous.lut')
remove_parameter_by_key(the_doc, 'method.continuous.min')
remove_parameter_by_key(the_doc, 'method.continuous.max')
remove_parameter_by_key(the_doc, 'method.optimal.background')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(split[key])
return the_list
def getDimensionalityReduction(available_app, original_dom_document):
"""
Remove rescale.outmin and rescale.outmax and split by method (ica, maf, napca and pca) and adjust parameters of each resulting app.
"""
the_root = original_dom_document
remove_parameter_by_key(the_root, 'rescale.outmin')
remove_parameter_by_key(the_root, 'rescale.outmax')
split = split_by_choice(the_root, 'method')
the_list = []
for key in split:
if key == 'maf':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'outinv')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
else:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getReadImageInfo(available_app, original_dom_document):
"""
Remove parameters that are output of the application.
"""
the_root = original_dom_document
remove_parameter_by_key(the_root, 'outkwl')
remove_parameter_by_key(the_root, 'indexx')
remove_parameter_by_key(the_root, 'indexy')
remove_parameter_by_key(the_root, 'sizex')
remove_parameter_by_key(the_root, 'sizey')
remove_parameter_by_key(the_root, 'spacingx')
remove_parameter_by_key(the_root, 'spacingy')
remove_parameter_by_key(the_root, 'originx')
remove_parameter_by_key(the_root, 'originy')
remove_parameter_by_key(the_root, 'estimatedgroundspacingx')
remove_parameter_by_key(the_root, 'estimatedgroundspacingy')
remove_parameter_by_key(the_root, 'numberbands')
remove_parameter_by_key(the_root, 'sensor')
remove_parameter_by_key(the_root, 'id')
remove_parameter_by_key(the_root, 'time')
remove_parameter_by_key(the_root, 'ullat')
remove_parameter_by_key(the_root, 'ullon')
remove_parameter_by_key(the_root, 'urlat')
remove_parameter_by_key(the_root, 'urlon')
remove_parameter_by_key(the_root, 'lrlat')
remove_parameter_by_key(the_root, 'lrlon')
remove_parameter_by_key(the_root, 'lllat')
remove_parameter_by_key(the_root, 'lllon')
remove_parameter_by_key(the_root, 'town')
remove_parameter_by_key(the_root, 'country')
remove_parameter_by_key(the_root, 'rgb.r')
remove_parameter_by_key(the_root, 'rgb.g')
remove_parameter_by_key(the_root, 'rgb.b')
remove_parameter_by_key(the_root, 'projectionref')
remove_parameter_by_key(the_root, 'keyword')
remove_parameter_by_key(the_root, 'gcp.count')
remove_parameter_by_key(the_root, 'gcp.proj')
defaultWrite(available_app, the_root)
return [the_root]
def getRasterization(available_app, original_dom_document):
"""
Let only rasterization with an reference image
Let only mode auto.
Remove all parameters which should be updated once the input file given.
Split by SRS : EPSG, fit to ortho, lambert-wgs84 and UTM.
Each of these SRS have their own parameters modified in this fonction.
Delete GEOID and DEM parameter as they are not updated at the creation of the otb algorithms when you launch QGIS.
The values are picked from the settings.
"""
rasterization_image = original_dom_document
import copy
rasterization_manual = copy.deepcopy(original_dom_document)
old_app_name = rasterization_image.find('key').text
remove_parameter_by_key(rasterization_image, 'szx')
remove_parameter_by_key(rasterization_image, 'szy')
remove_parameter_by_key(rasterization_image, 'epsg')
remove_parameter_by_key(rasterization_image, 'orx')
remove_parameter_by_key(rasterization_image, 'ory')
remove_parameter_by_key(rasterization_image, 'spx')
remove_parameter_by_key(rasterization_image, 'spy')
remove_parameter_by_key(rasterization_manual, 'im')
# set a new name according to the choice
rasterization_image.find('key').text = '%s-%s' % (old_app_name, "image")
rasterization_image.find('longname').text = '%s (%s)' % (old_app_name,
"image")
defaultWrite('%s-%s' % (old_app_name, "image"), rasterization_image)
rasterization_manual.find('key').text = '%s-%s' % (old_app_name, "manual")
rasterization_manual.find('longname').text = '%s (%s)' % (old_app_name,
"manual")
defaultWrite('%s-%s' % (old_app_name, "manual"), rasterization_manual)
return [rasterization_image, rasterization_manual]
def getSmoothing(available_app, original_dom_document):
"""
Split by type (anidif, gaussian, mean)
"""
#import copy
#the_root = copy.deepcopy(original_dom_document)
#remove_dependent_choices(the_root, 'type', 'anidif')
#remove_other_choices(the_root, 'type', 'anidif')
#defaultWrite('%s-anidif' % available_app, the_root)
#the_root = copy.deepcopy(original_dom_document)
#remove_independent_choices(the_root, 'type', 'anidif')
#remove_choice(the_root, 'type', 'anidif')
#defaultWrite(available_app, the_root)
the_root = original_dom_document
split = split_by_choice(the_root, 'type')
the_list = []
for key in split:
defaultWrite('%s-%s' % (available_app, key), split[key])
the_list.append(split[key])
return the_list
def getOrthoRectification(available_app, original_dom_document):
"""
Let only mode auto.
Remove all parameters which should be updated once the input file given.
Split by SRS : EPSG, fit to ortho, lambert-wgs84 and UTM.
Each of these SRS have their own parameters modified in this fonction.
Delete GEOID and DEM parameter as they are not updated at the creation of the otb algorithms when you launch QGIS.
The values are picked from the settings.
"""
the_root = original_dom_document
remove_choice(the_root, 'outputs.mode', 'auto')
remove_independent_choices(the_root, 'outputs.mode', 'auto')
remove_choice(the_root, 'outputs.mode', 'outputroi')
remove_independent_choices(the_root, 'outputs.mode', 'outputroi')
remove_parameter_by_key(the_root, 'outputs.ulx')
remove_parameter_by_key(the_root, 'outputs.uly')
remove_parameter_by_key(the_root, 'outputs.sizex')
remove_parameter_by_key(the_root, 'outputs.sizey')
remove_parameter_by_key(the_root, 'outputs.spacingx')
remove_parameter_by_key(the_root, 'outputs.spacingy')
remove_parameter_by_key(the_root, 'outputs.lrx')
remove_parameter_by_key(the_root, 'outputs.lry')
remove_parameter_by_key(the_root, 'opt.rpc')
deleteGeoidSrtm(the_root)
remove_parameter_by_key(the_root, 'outputs.isotropic')
emptyMap = copy.deepcopy(the_root)
remove_parameter_by_key(the_root, 'outputs.ortho')
remove_choice(the_root, 'outputs.mode', 'orthofit')
remove_independent_choices(the_root, 'outputs.mode', 'orthofit')
merged = copy.deepcopy(the_root)
split = split_by_choice(the_root, 'map')
the_list = []
for key in split:
if key == 'utm':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'map.epsg.code')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
elif key == 'epsg':
the_doc = split[key]
remove_parameter_by_key(the_doc, 'map.utm.northhem')
remove_parameter_by_key(the_doc, 'map.utm.zone')
defaultWrite('%s-%s' % (available_app, key), the_doc)
the_list.append(the_doc)
remove_choice(merged, 'map', 'utm')
remove_choice(merged, 'map', 'epsg')
remove_parameter_by_key(merged, 'map.epsg.code')
remove_parameter_by_key(merged, 'map.utm.northhem')
remove_parameter_by_key(merged, 'map.utm.zone')
old_app_name = merged.find('key').text
merged.find('key').text = '%s-%s' % (old_app_name, 'lambert-WGS84')
merged.find('longname').text = '%s (%s)' % (old_app_name, 'lambert-WGS84')
defaultWrite('%s-%s' % (available_app, 'lambert-WGS84'), merged)
the_list.append(merged)
remove_parameter_by_key(emptyMap, 'map')
remove_parameter_by_key(emptyMap, 'map.epsg.code')
remove_parameter_by_key(emptyMap, 'map.utm.northhem')
remove_parameter_by_key(emptyMap, 'map.utm.zone')
remove_choice(emptyMap, 'outputs.mode', 'autosize')
remove_independent_choices(emptyMap, 'outputs.mode', 'autosize')
remove_choice(emptyMap, 'outputs.mode', 'autospacing')
remove_independent_choices(emptyMap, 'outputs.mode', 'autospacing')
old_app_name = emptyMap.find('key').text
emptyMap.find('key').text = '%s-%s' % (old_app_name, 'fit-to-ortho')
emptyMap.find('longname').text = '%s (%s)' % (old_app_name, 'fit-to-ortho')
defaultWrite('%s-%s' % (available_app, 'fit-to-ortho'), emptyMap)
the_list.append(emptyMap)
return the_list
def getQuicklook(available_app, original_dom_document):
the_root = original_dom_document
remove_parameter_by_key(the_root, 'cl')
defaultWrite(available_app, the_root)
return [the_root]
def getRefineSensorModel(available_app, original_dom_document):
the_root = original_dom_document
remove_dependent_choices(the_root, 'map', 'wgs')
remove_other_choices(the_root, 'map', 'wgs')
defaultWrite(available_app, the_root)
return [the_root]
def getKMeansClassification(available_app, original_dom_document):
the_root = original_dom_document
remove_parameter_by_key(the_root, 'rand')
defaultWrite(available_app, the_root)
return [the_root]
def getTrainSVMImagesClassifier(available_app, original_dom_document):
the_root = original_dom_document
remove_parameter_by_key(the_root, 'rand')
defaultWrite(available_app, the_root)
return [the_root]
def getSarRadiometricCalibration(available_app, original_dom_document):
# TODO ** before doing anything, check support for SAR data in Qgis
the_root = original_dom_document
defaultWrite(available_app, the_root)
return [the_root]
