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Restore more saga functionality

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Nyall Dawson 2017-08-18 04:29:28 +10:00 committed by Alexander Bruy
parent 9ba414394d
commit 8d91f1f1eb
12 changed files with 80 additions and 54 deletions
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102
python/plugins/processing/algs/saga/SagaAlgorithm.py
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@ -41,14 +41,13 @@ from qgis.core import (QgsProcessingUtils,
QgsProcessingParameterMultipleLayers, QgsProcessingParameterMultipleLayers,
QgsProcessingParameterMatrix, QgsProcessingParameterMatrix,
QgsProcessingParameterString, QgsProcessingParameterString,
QgsProcessingParameterField) QgsProcessingParameterField,
QgsProcessingParameterFile,
QgsProcessingParameterExtent,
QgsProcessingParameterRasterDestination,
QgsProcessingParameterVectorDestination)
from processing.core.ProcessingConfig import ProcessingConfig from processing.core.ProcessingConfig import ProcessingConfig
from processing.core.parameters import (getParameterFromString, from processing.core.parameters import getParameterFromString
ParameterExtent)
from processing.core.outputs import (getOutputFromString,
OutputVector,
OutputRaster)
from processing.tools import dataobjects
from processing.algs.help import shortHelp from processing.algs.help import shortHelp
from processing.tools.system import getTempFilename from processing.tools.system import getTempFilename
from processing.algs.saga.SagaNameDecorator import decoratedAlgorithmName, decoratedGroupName from processing.algs.saga.SagaNameDecorator import decoratedAlgorithmName, decoratedGroupName
@ -131,8 +130,8 @@ class SagaAlgorithm(SagaAlgorithmBase):
elif line.startswith('Extent'): elif line.startswith('Extent'):
# An extent parameter that wraps 4 SAGA numerical parameters # An extent parameter that wraps 4 SAGA numerical parameters
self.extentParamNames = line[6:].strip().split(' ') self.extentParamNames = line[6:].strip().split(' ')
self.params.append(ParameterExtent(self.OUTPUT_EXTENT, self.params.append(QgsProcessingParameterExtent(self.OUTPUT_EXTENT,
'Output extent')) 'Output extent'))
else: else:
pass # TODO pass # TODO
#self.addOutput(getOutputFromString(line)) #self.addOutput(getOutputFromString(line))
@ -160,9 +159,14 @@ class SagaAlgorithm(SagaAlgorithmBase):
elif isinstance(param, QgsProcessingParameterFeatureSource): elif isinstance(param, QgsProcessingParameterFeatureSource):
if param.name() not in parameters or parameters[param.name()] is None: if param.name() not in parameters or parameters[param.name()] is None:
continue continue
layer_path = self.parameterAsCompatibleSourceLayerPath(parameters, param.name(), context, 'shp', feedback=feedback)
if not crs:
source = self.parameterAsSource(parameters, param.name(), context)
crs = source.sourceCrs()
layer_path = self.parameterAsCompatibleSourceLayerPath(parameters, param.name(), context, ['shp'], 'shp', feedback=feedback)
if layer_path: if layer_path:
self.exportedLayers[parameters[param.name()]] = layer_path self.exportedLayers[param.name()] = layer_path
else: else:
raise QgsProcessingException( raise QgsProcessingException(
self.tr('Unsupported file format')) self.tr('Unsupported file format'))
@ -186,6 +190,11 @@ class SagaAlgorithm(SagaAlgorithmBase):
temp_params = deepcopy(parameters) temp_params = deepcopy(parameters)
for layer in layers: for layer in layers:
temp_params[param.name()] = layer temp_params[param.name()] = layer
if not crs:
source = self.parameterAsSource(temp_params, param.name(), context)
crs = source.sourceCrs()
layer_path = self.parameterAsCompatibleSourceLayerPath(temp_params, param.name(), context, 'shp', layer_path = self.parameterAsCompatibleSourceLayerPath(temp_params, param.name(), context, 'shp',
feedback=feedback) feedback=feedback)
if layer_path: if layer_path:
@ -197,10 +206,6 @@ class SagaAlgorithm(SagaAlgorithmBase):
raise QgsProcessingException( raise QgsProcessingException(
self.tr('Unsupported file format')) self.tr('Unsupported file format'))
# TODO - set minimum extent
if not extent:
extent = QgsProcessingUtils.combineLayerExtents([layer])
# 2: Set parameters and outputs # 2: Set parameters and outputs
command = self.undecorated_group + ' "' + self.cmdname + '"' command = self.undecorated_group + ' "' + self.cmdname + '"'
command += ' ' + ' '.join(self.hardcoded_strings) command += ' ' + ' '.join(self.hardcoded_strings)
@ -208,20 +213,19 @@ class SagaAlgorithm(SagaAlgorithmBase):
for param in self.parameterDefinitions(): for param in self.parameterDefinitions():
if not param.name() in parameters or parameters[param.name()] is None: if not param.name() in parameters or parameters[param.name()] is None:
continue continue
if param.isDestination():
continue
if isinstance(param, (QgsProcessingParameterRasterLayer, QgsProcessingParameterFeatureSource)): if isinstance(param, (QgsProcessingParameterRasterLayer, QgsProcessingParameterFeatureSource)):
value = parameters[param.name()] command += ' -' + param.name() + ' "' \
if value in list(self.exportedLayers.keys()): + self.exportedLayers[param.name()] + '"'
command += ' -' + param.name() + ' "' \
+ self.exportedLayers[value] + '"'
else:
command += ' -' + param.name() + ' "' + value + '"'
elif isinstance(param, QgsProcessingParameterMultipleLayers): elif isinstance(param, QgsProcessingParameterMultipleLayers):
s = parameters[param.name()] s = parameters[param.name()]
for layer in list(self.exportedLayers.keys()): for layer in list(self.exportedLayers.keys()):
s = s.replace(layer, self.exportedLayers[layer]) s = s.replace(layer, self.exportedLayers[layer])
command += ' -' + ';'.join(self.exportedLayers[param.name()]) + ' "' + s + '"' command += ' -' + ';'.join(self.exportedLayers[param.name()]) + ' "' + s + '"'
elif isinstance(param, QgsProcessingParameterBoolean): elif isinstance(param, QgsProcessingParameterBoolean):
if parameters[param.name()]: if self.parameterAsBool(parameters, param.name(), context):
command += ' -' + param.name().strip() + " true" command += ' -' + param.name().strip() + " true"
else: else:
command += ' -' + param.name().strip() + " false" command += ' -' + param.name().strip() + " false"
@ -234,12 +238,19 @@ class SagaAlgorithm(SagaAlgorithmBase):
s = values[i] + '\t' + values[i + 1] + '\t' + values[i + 2] + '\n' s = values[i] + '\t' + values[i + 1] + '\t' + values[i + 2] + '\n'
f.write(s) f.write(s)
command += ' -' + param.name() + ' "' + tempTableFile + '"' command += ' -' + param.name() + ' "' + tempTableFile + '"'
elif isinstance(param, ParameterExtent): elif isinstance(param, QgsProcessingParameterExtent):
# 'We have to substract/add half cell size, since SAGA is # 'We have to substract/add half cell size, since SAGA is
# center based, not corner based # center based, not corner based
halfcell = self.getOutputCellsize(parameters) / 2 halfcell = self.getOutputCellsize(parameters, context) / 2
offset = [halfcell, -halfcell, halfcell, -halfcell] offset = [halfcell, -halfcell, halfcell, -halfcell]
values = parameters[param.name()].split(',') rect = self.parameterAsExtent(parameters, param.name(), context)
values = []
values.append(rect.xMinimum())
values.append(rect.yMinimum())
values.append(rect.xMaximum())
values.append(rect.yMaximum())
for i in range(4): for i in range(4):
command += ' -' + self.extentParamNames[i] + ' ' \ command += ' -' + self.extentParamNames[i] + ' ' \
+ str(float(values[i]) + offset[i]) + str(float(values[i]) + offset[i])
@ -247,18 +258,28 @@ class SagaAlgorithm(SagaAlgorithmBase):
command += ' -' + param.name() + ' ' + str(self.parameterAsDouble(parameters, param.name(), context)) command += ' -' + param.name() + ' ' + str(self.parameterAsDouble(parameters, param.name(), context))
elif isinstance(param, QgsProcessingParameterEnum): elif isinstance(param, QgsProcessingParameterEnum):
command += ' -' + param.name() + ' ' + str(self.parameterAsEnum(parameters, param.name(), context)) command += ' -' + param.name() + ' ' + str(self.parameterAsEnum(parameters, param.name(), context))
elif isinstance(param, QgsProcessingParameterString, QgsProcessingParameterField): elif isinstance(param, (QgsProcessingParameterString, QgsProcessingParameterFile)):
command += ' -' + param.name() + ' "' + self.parameterAsFile(parameters, param.name(), context) + '"'
elif isinstance(param, (QgsProcessingParameterString, QgsProcessingParameterField)):
command += ' -' + param.name() + ' "' + self.parameterAsString(parameters, param.name(), context) + '"' command += ' -' + param.name() + ' "' + self.parameterAsString(parameters, param.name(), context) + '"'
for out in self.outputs: output_layers = []
command += ' -' + out.name + ' "' + out.getCompatibleFileName(self) + '"' output_files = {}
for out in self.destinationParameterDefinitions():
# TODO
# command += ' -' + out.name() + ' "' + out.getCompatibleFileName(self) + '"'
file = self.parameterAsOutputLayer(parameters, out.name(), context)
if isinstance(out, (QgsProcessingParameterRasterDestination, QgsProcessingParameterVectorDestination)):
output_layers.append(file)
output_files[out.name()] = file
command += ' -' + out.name() + ' "' + file + '"'
commands.append(command) commands.append(command)
# special treatment for RGB algorithm # special treatment for RGB algorithm
# TODO: improve this and put this code somewhere else # TODO: improve this and put this code somewhere else
for out in self.outputs: for out in self.destinationParameterDefinitions():
if isinstance(out, OutputRaster): if isinstance(out, QgsProcessingParameterRasterDestination):
filename = out.getCompatibleFileName(self) filename = out.getCompatibleFileName(self)
filename2 = filename + '.sgrd' filename2 = filename + '.sgrd'
if self.cmdname == 'RGB Composite': if self.cmdname == 'RGB Composite':
@ -277,12 +298,17 @@ class SagaAlgorithm(SagaAlgorithmBase):
QgsMessageLog.logMessage('\n'.join(loglines), self.tr('Processing'), QgsMessageLog.INFO) QgsMessageLog.logMessage('\n'.join(loglines), self.tr('Processing'), QgsMessageLog.INFO)
SagaUtils.executeSaga(feedback) SagaUtils.executeSaga(feedback)
if self.crs is not None: if crs is not None:
for out in self.outputs: for out in output_layers:
if isinstance(out, (OutputVector, OutputRaster)): prjFile = os.path.splitext(out)[0] + ".prj"
prjFile = os.path.splitext(out.getCompatibleFileName(self))[0] + ".prj" with open(prjFile, "w") as f:
with open(prjFile, "w") as f: f.write(crs.toWkt())
f.write(self.crs.toWkt())
result = {}
for o in self.outputDefinitions():
if o.name() in output_files:
result[o.name()] = output_files[o.name()]
return result
def preProcessInputs(self): def preProcessInputs(self):
name = self.name().replace('.', '_') name = self.name().replace('.', '_')
@ -305,7 +331,7 @@ class SagaAlgorithm(SagaAlgorithmBase):
else: else:
return commands return commands
def getOutputCellsize(self, parameters): def getOutputCellsize(self, parameters, context):
"""Tries to guess the cell size of the output, searching for """Tries to guess the cell size of the output, searching for
a parameter with an appropriate name for it. a parameter with an appropriate name for it.
:param parameters: :param parameters:
@ -314,7 +340,7 @@ class SagaAlgorithm(SagaAlgorithmBase):
cellsize = 0 cellsize = 0
for param in self.parameterDefinitions(): for param in self.parameterDefinitions():
if param.name() in parameters and param.name() == 'USER_SIZE': if param.name() in parameters and param.name() == 'USER_SIZE':
cellsize = float(parameters[param.name()]) cellsize = self.parameterAsDouble(parameters, param.name(), context)
break break
return cellsize return cellsize

2
python/plugins/processing/algs/saga/description/AddPointAttributestoPolygons.txt
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@ -3,5 +3,5 @@ shapes_polygons
QgsProcessingParameterFeatureSource|INPUT|Polygons|2|None|False QgsProcessingParameterFeatureSource|INPUT|Polygons|2|None|False
QgsProcessingParameterFeatureSource|POINTS|Points|0|None|False QgsProcessingParameterFeatureSource|POINTS|Points|0|None|False
QgsProcessingParameterField|FIELDS|Attributes|None|POINTS|-1|False|False QgsProcessingParameterField|FIELDS|Attributes|None|POINTS|-1|False|False
QgsProcessingParameterBoolean|ADD_LOCATION_INFO|Add location info|False QgsProcessingParameterBoolean|ADD_LOCATION_INFO|Add locPation info|False
QgsProcessingParameterVectorDestination|OUTPUT|Result QgsProcessingParameterVectorDestination|OUTPUT|Result

2
python/plugins/processing/algs/saga/description/ClusterAnalysisforGrids.txt
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@ -1,6 +1,6 @@
K-Means Clustering for Grids K-Means Clustering for Grids
imagery_classification imagery_classification
QgsProcessingParameterMultipleLayers|GRIDS|Grids|3.0|None|False QgsProcessingParameterMultipleLayers|GRIDS|Grids|3|None|False
QgsProcessingParameterEnum|METHOD|Method|[0] Iterative Minimum Distance (Forgy 1965);[1] Hill-Climbing (Rubin 1967);[2] Combined Minimum Distance / Hillclimbing QgsProcessingParameterEnum|METHOD|Method|[0] Iterative Minimum Distance (Forgy 1965);[1] Hill-Climbing (Rubin 1967);[2] Combined Minimum Distance / Hillclimbing
QgsProcessingParameterNumber|NCLUSTER|Clusters|QgsProcessingParameterNumber.Integer|10|False|2|None QgsProcessingParameterNumber|NCLUSTER|Clusters|QgsProcessingParameterNumber.Integer|10|False|2|None
QgsProcessingParameterNumber|MAXITER|Maximum Iterations|QgsProcessingParameterNumber.Integer|0|False|0|None QgsProcessingParameterNumber|MAXITER|Maximum Iterations|QgsProcessingParameterNumber.Integer|0|False|0|None

2
python/plugins/processing/algs/saga/description/GeographicallyWeightedMultipleRegression(PointsGrids).txt
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@ -1,6 +1,6 @@
GWR for Multiple Predictor Grids GWR for Multiple Predictor Grids
statistics_regression statistics_regression
QgsProcessingParameterMultipleLayers|PREDICTORS|Predictors|3.0|None|False QgsProcessingParameterMultipleLayers|PREDICTORS|Predictors|3|None|False
QgsProcessingParameterFeatureSource|POINTS|Points|0|None|False QgsProcessingParameterFeatureSource|POINTS|Points|0|None|False
QgsProcessingParameterField|DEPENDENT|Dependent Variable|None|POINTS|-1|False|False QgsProcessingParameterField|DEPENDENT|Dependent Variable|None|POINTS|-1|False|False
QgsProcessingParameterEnum|RESOLUTION|Model Resolution|[0] same as predictors;[1] user defined|False|1 QgsProcessingParameterEnum|RESOLUTION|Model Resolution|[0] same as predictors;[1] user defined|False|1

2
python/plugins/processing/algs/saga/description/GridCombination.txt
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@ -1,7 +1,7 @@
GridCombination GridCombination
sim_rivflow sim_rivflow
QgsProcessingParameterRasterLayer|INPUT|Gelaendemodell (DTM)|None|False QgsProcessingParameterRasterLayer|INPUT|Gelaendemodell (DTM)|None|False
ParameterFile|Folder1|Pfad WaterGap Raster|False|False QgsProcessingParameterFile|Folder1|Pfad WaterGap Raster|False|None|False
QgsProcessingParameterNumber|sY|Start-Jahr|QgsProcessingParameterNumber.Integer|1990|False| 1906| 2000 QgsProcessingParameterNumber|sY|Start-Jahr|QgsProcessingParameterNumber.Integer|1990|False| 1906| 2000
QgsProcessingParameterNumber|eY|End-Jahr|QgsProcessingParameterNumber.Integer|1990|False| 1906| 2000 QgsProcessingParameterNumber|eY|End-Jahr|QgsProcessingParameterNumber.Integer|1990|False| 1906| 2000
QgsProcessingParameterBoolean|DomW|Domestic Water|True QgsProcessingParameterBoolean|DomW|Domestic Water|True

4
python/plugins/processing/algs/saga/description/MaximumEntropyPresencePrediction.txt
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@ -7,8 +7,8 @@ QgsProcessingParameterRasterDestination|PREDICTION|Presence Prediction
QgsProcessingParameterRasterDestination|PROBABILITY|Presence Probability QgsProcessingParameterRasterDestination|PROBABILITY|Presence Probability
QgsProcessingParameterNumber|BACKGROUND|Background Sample Density [Percent]|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000| 100.000000 QgsProcessingParameterNumber|BACKGROUND|Background Sample Density [Percent]|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000| 100.000000
QgsProcessingParameterEnum|METHOD|Method|[0] Yoshimasa Tsuruoka;[1] Dekang Lin|False|0 QgsProcessingParameterEnum|METHOD|Method|[0] Yoshimasa Tsuruoka;[1] Dekang Lin|False|0
ParameterFile|YT_FILE_LOAD|Load from File...|False|False QgsProcessingParameterFile|YT_FILE_LOAD|Load from File...|False|None|False
ParameterFile|YT_FILE_SAVE|Save to File...|False|False QgsProcessingParameterFile|YT_FILE_SAVE|Save to File...|False|None|False
QgsProcessingParameterEnum|YT_REGUL|Regularization|[0] none;[1] L1;[2] L2|False|1 QgsProcessingParameterEnum|YT_REGUL|Regularization|[0] none;[1] L1;[2] L2|False|1
QgsProcessingParameterNumber|YT_REGUL_VAL|Regularization Factor|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000|None QgsProcessingParameterNumber|YT_REGUL_VAL|Regularization Factor|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000|None
QgsProcessingParameterBoolean|YT_NUMASREAL|Real-valued Numerical Features|True QgsProcessingParameterBoolean|YT_NUMASREAL|Real-valued Numerical Features|True

4
python/plugins/processing/algs/saga/description/RandomForestPresencePrediction(ViGrA).txt
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@ -10,8 +10,8 @@ QgsProcessingParameterNumber|mRMR_NFEATURES|Number of Features|QgsProcessingPara
QgsProcessingParameterBoolean|mRMR_DISCRETIZE|Discretization|True QgsProcessingParameterBoolean|mRMR_DISCRETIZE|Discretization|True
QgsProcessingParameterNumber|mRMR_THRESHOLD|Discretization Threshold|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000|None QgsProcessingParameterNumber|mRMR_THRESHOLD|Discretization Threshold|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000|None
QgsProcessingParameterEnum|mRMR_METHOD|Selection Method|[0] Mutual Information Difference (MID);[1] Mutual Information Quotient (MIQ)|False|0 QgsProcessingParameterEnum|mRMR_METHOD|Selection Method|[0] Mutual Information Difference (MID);[1] Mutual Information Quotient (MIQ)|False|0
ParameterFile|RF_IMPORT|Import from File|False|False QgsProcessingParameterFile|RF_IMPORT|Import from File|False|None|False
ParameterFile|RF_EXPORT|Export to File|False|False QgsProcessingParameterFile|RF_EXPORT|Export to File|False|None|False
QgsProcessingParameterNumber|RF_TREE_COUNT|Tree Count|QgsProcessingParameterNumber.Integer|32|False| 1|None QgsProcessingParameterNumber|RF_TREE_COUNT|Tree Count|QgsProcessingParameterNumber.Integer|32|False| 1|None
QgsProcessingParameterNumber|RF_TREE_SAMPLES|Samples per Tree|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000| 1.000000 QgsProcessingParameterNumber|RF_TREE_SAMPLES|Samples per Tree|QgsProcessingParameterNumber.Double|1.000000|False| 0.000000| 1.000000
QgsProcessingParameterBoolean|RF_REPLACE|Sample with Replacement|True QgsProcessingParameterBoolean|RF_REPLACE|Sample with Replacement|True

4
python/plugins/processing/algs/saga/description/SVMClassification.txt
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@ -5,10 +5,10 @@ QgsProcessingParameterRasterDestination|CLASSES|Classification
QgsProcessingParameterEnum|SCALING|Scaling|[0] none;[1] normalize (0-1);[2] standardize|False|2 QgsProcessingParameterEnum|SCALING|Scaling|[0] none;[1] normalize (0-1);[2] standardize|False|2
QgsProcessingParameterBoolean|MESSAGE|Verbose Messages|False QgsProcessingParameterBoolean|MESSAGE|Verbose Messages|False
QgsProcessingParameterEnum|MODEL_SRC|Model Source|[0] create from training areas;[1] restore from file|False|0 QgsProcessingParameterEnum|MODEL_SRC|Model Source|[0] create from training areas;[1] restore from file|False|0
ParameterFile|MODEL_LOAD|Restore Model from File|False|False QgsProcessingParameterFile|MODEL_LOAD|Restore Model from File|False|None|False
QgsProcessingParameterFeatureSource|ROI|Training Areas|-1|None|False QgsProcessingParameterFeatureSource|ROI|Training Areas|-1|None|False
QgsProcessingParameterFeatureSource|ROI_ID|Class Identifier|5|None|False QgsProcessingParameterFeatureSource|ROI_ID|Class Identifier|5|None|False
ParameterFile|MODEL_SAVE|Store Model to File|False|False QgsProcessingParameterFile|MODEL_SAVE|Store Model to File|False|None|False
QgsProcessingParameterEnum|SVM_TYPE|SVM Type|[0] C-SVC;[1] nu-SVC;[2] one-class SVM;[3] epsilon-SVR;[4] nu-SVR|False|0 QgsProcessingParameterEnum|SVM_TYPE|SVM Type|[0] C-SVC;[1] nu-SVC;[2] one-class SVM;[3] epsilon-SVR;[4] nu-SVR|False|0
QgsProcessingParameterEnum|KERNEL_TYPE|Kernel Type|[0] linear;[1] polynomial;[2] radial basis function;[3] sigmoid|False|2 QgsProcessingParameterEnum|KERNEL_TYPE|Kernel Type|[0] linear;[1] polynomial;[2] radial basis function;[3] sigmoid|False|2
QgsProcessingParameterNumber|DEGREE|Degree|QgsProcessingParameterNumber.Integer|3|False|None|None QgsProcessingParameterNumber|DEGREE|Degree|QgsProcessingParameterNumber.Integer|3|False|None|None

2
python/plugins/processing/algs/saga/description/SupervisedClassification.txt
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@ -1,6 +1,6 @@
Supervised Classification Supervised Classification
imagery_classification imagery_classification
QgsProcessingParameterMultipleLayers|GRIDS|Grids|3.0|None|False QgsProcessingParameterMultipleLayers|GRIDS|Grids|3|None|False
QgsProcessingParameterFeatureSource|ROI|Training Areas|2|None|False QgsProcessingParameterFeatureSource|ROI|Training Areas|2|None|False
QgsProcessingParameterField|ROI_ID|Class Identifier|None|ROI|-1|False|False QgsProcessingParameterField|ROI_ID|Class Identifier|None|ROI|-1|False|False
QgsProcessingParameterFeatureSource|STATS|Class Statistics|5|None|False QgsProcessingParameterFeatureSource|STATS|Class Statistics|5|None|False

4
python/plugins/processing/algs/saga/description/SupervisedClassificationforGrids.txt
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@ -6,8 +6,8 @@ QgsProcessingParameterRasterDestination|CLASSES|Classification
QgsProcessingParameterRasterDestination|QUALITY|Quality QgsProcessingParameterRasterDestination|QUALITY|Quality
QgsProcessingParameterFeatureSource|TRAINING|Training Areas|-1|None|True QgsProcessingParameterFeatureSource|TRAINING|Training Areas|-1|None|True
QgsProcessingParameterFeatureSource|TRAINING_CLASS|Class Identifier|5|None|False QgsProcessingParameterFeatureSource|TRAINING_CLASS|Class Identifier|5|None|False
ParameterFile|FILE_LOAD|Load Statistics from File...|False|False QgsProcessingParameterFile|FILE_LOAD|Load Statistics from File...|False|None|False
ParameterFile|FILE_SAVE|Save Statistics to File...|False|False QgsProcessingParameterFile|FILE_SAVE|Save Statistics to File...|False|None|False
QgsProcessingParameterEnum|METHOD|Method|[0] Binary Encoding;[1] Parallelepiped;[2] Minimum Distance;[3] Mahalanobis Distance;[4] Maximum Likelihood;[5] Spectral Angle Mapping;[6] Winner Takes All|False|2 QgsProcessingParameterEnum|METHOD|Method|[0] Binary Encoding;[1] Parallelepiped;[2] Minimum Distance;[3] Mahalanobis Distance;[4] Maximum Likelihood;[5] Spectral Angle Mapping;[6] Winner Takes All|False|2
QgsProcessingParameterNumber|THRESHOLD_DIST|Distance Threshold|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000|None QgsProcessingParameterNumber|THRESHOLD_DIST|Distance Threshold|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000|None
QgsProcessingParameterNumber|THRESHOLD_ANGLE|Spectral Angle Threshold (Degree)|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000| 90.000000 QgsProcessingParameterNumber|THRESHOLD_ANGLE|Spectral Angle Threshold (Degree)|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000| 90.000000

4
python/plugins/processing/algs/saga/description/SupervisedClassificationforShapes.txt
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@ -5,8 +5,8 @@ QgsProcessingParameterVectorDestination|CLASSES|Classification
QgsProcessingParameterFeatureSource|FEATURES|Features|5|None|False QgsProcessingParameterFeatureSource|FEATURES|Features|5|None|False
QgsProcessingParameterBoolean|NORMALISE|Normalise|False QgsProcessingParameterBoolean|NORMALISE|Normalise|False
QgsProcessingParameterFeatureSource|TRAINING|Training Classes|5|None|False QgsProcessingParameterFeatureSource|TRAINING|Training Classes|5|None|False
ParameterFile|FILE_LOAD|Load Statistics from File...|False|False QgsProcessingParameterFile|FILE_LOAD|Load Statistics from File...|False|None|False
ParameterFile|FILE_SAVE|Save Statistics to File...|False|False QgsProcessingParameterFile|FILE_SAVE|Save Statistics to File...|False|None|False
QgsProcessingParameterEnum|METHOD|Method|[0] Binary Encoding;[1] Parallelepiped;[2] Minimum Distance;[3] Mahalanobis Distance;[4] Maximum Likelihood;[5] Spectral Angle Mapping;[6] Winner Takes All|False|2 QgsProcessingParameterEnum|METHOD|Method|[0] Binary Encoding;[1] Parallelepiped;[2] Minimum Distance;[3] Mahalanobis Distance;[4] Maximum Likelihood;[5] Spectral Angle Mapping;[6] Winner Takes All|False|2
QgsProcessingParameterNumber|THRESHOLD_DIST|Distance Threshold|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000|None QgsProcessingParameterNumber|THRESHOLD_DIST|Distance Threshold|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000|None
QgsProcessingParameterNumber|THRESHOLD_ANGLE|Spectral Angle Threshold (Degree)|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000| 90.000000 QgsProcessingParameterNumber|THRESHOLD_ANGLE|Spectral Angle Threshold (Degree)|QgsProcessingParameterNumber.Double|0.000000|False| 0.000000| 90.000000

2
python/plugins/processing/algs/saga/description/TopofAtmosphereReflectance.txt
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@ -48,7 +48,7 @@ QgsProcessingParameterRasterDestination|RF_OLI10|Reflectance Band 10
QgsProcessingParameterRasterDestination|RF_OLI11|Reflectance Band 11 QgsProcessingParameterRasterDestination|RF_OLI11|Reflectance Band 11
QgsProcessingParameterRasterLayer|DN_PAN08|DN Band 8|None|True QgsProcessingParameterRasterLayer|DN_PAN08|DN Band 8|None|True
QgsProcessingParameterRasterDestination|RF_PAN08|Reflectance Band 8 QgsProcessingParameterRasterDestination|RF_PAN08|Reflectance Band 8
ParameterFile|METAFILE|Metadata File|False|False QgsProcessingParameterFile|METAFILE|Metadata File|False|None|False
QgsProcessingParameterEnum|SENSOR|Spacecraft Sensor|[0] Landsat-1 MSS;[1] Landsat-2 MSS;[2] Landsat-3 MSS;[3] Landsat-4 MSS;[4] Landsat-5 MSS;[5] Landsat-4 TM;[6] Landsat-5 TM;[7] Landsat-7 ETM+;[8] Landsat-8 OLI/TIRS|False|7 QgsProcessingParameterEnum|SENSOR|Spacecraft Sensor|[0] Landsat-1 MSS;[1] Landsat-2 MSS;[2] Landsat-3 MSS;[3] Landsat-4 MSS;[4] Landsat-5 MSS;[5] Landsat-4 TM;[6] Landsat-5 TM;[7] Landsat-7 ETM+;[8] Landsat-8 OLI/TIRS|False|7
QgsProcessingParameterString|DATE_ACQU|Image Acquisition Date QgsProcessingParameterString|DATE_ACQU|Image Acquisition Date
QgsProcessingParameterString|DATE_PROD|Image Creation Date QgsProcessingParameterString|DATE_PROD|Image Creation Date