def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "training"
super(learnModel, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.workingDirectory = workingDirectory
self.output_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
self.data_field = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'dataField')
self.region_field = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'regionField')
self.runs = SCF.serviceConfigFile(self.cfg).getParam('chain', 'runs')
self.enable_autoContext = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'enable_autoContext')
self.autoContext_iterations = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'autoContext_iterations')
self.RAM = 1024.0 * get_RAM(self.resources["ram"])
self.superpix_data_field = "superpix"
self.tiles = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'listTile').split("_")
self.available_ram = 1024.0 * get_RAM(self.resources["ram"])
self.use_scikitlearn = SCF.serviceConfigFile(self.cfg).getParam(
'scikit_models_parameters', 'model_type') is not None
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "vectorisation"
super(largeVectorization, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.RAM = 1024.0 * get_RAM(self.resources["ram"])
self.workingDirectory = workingDirectory
self.outputPath = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
self.grasslib = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'grasslib')
self.angle = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'angle')
self.outmos = os.path.join(self.outputPath, 'final', 'simplification',
'mosaic')
self.clipfile = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'clipfile')
self.clipfield = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'clipfield')
self.grid = os.path.join(self.outputPath, 'final', 'simplification',
'grid.shp')
self.epsg = int(
SCF.serviceConfigFile(self.cfg).getParam('GlobChain',
'proj').split(":")[-1])
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "slic_segmentation"
super(slicSegmentation, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.RAM = 1024.0 * get_RAM(self.resources["ram"])
self.workingDirectory = workingDirectory
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "statistics"
super(zonalStatistics, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.RAM = 1024.0 * get_RAM(self.resources["ram"])
self.workingDirectory = workingDirectory
self.outputPath = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
self.outfilesvectpath = os.path.join(self.outputPath, 'final',
'simplification', 'vectors')
self.rastclass = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'classification')
self.rastconf = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'confidence')
self.rastval = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'validity')
self.seed = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'seed')
self.bingdal = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'bingdal')
self.chunk = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'chunk')
self.statslist = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'statslist')
self.nomenclature = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'nomenclature')
self.systemcall = SCF.serviceConfigFile(self.cfg).getParam(
'Simplification', 'systemcall')
if self.rastclass is None:
if self.seed is not None:
self.rastclass = os.path.join(
self.outputPath, 'final',
'Classif_Seed_{}.tif'.format(self.seed))
if self.rastconf is None:
self.rastconf = os.path.join(
self.outputPath, 'final',
'Confidence_Seed_{}.tif'.format(self.seed))
else:
if os.path.exists(
os.path.join(self.outputPath, 'final',
'Classifications_fusion.tif')):
self.rastclass = os.path.join(
self.outputPath, 'final', 'Classifications_fusion.tif')
else:
self.rastclass = os.path.join(self.outputPath, 'final',
'Classif_Seed_0.tif')
# Pas de fusion de confidence ?
if self.rastval is None:
self.rastval = os.path.join(self.outputPath, 'final',
'PixelsValidity.tif')
if self.rastconf is None:
self.rastconf = os.path.join(self.outputPath, 'final',
'Confidence_Seed_0.tif')
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "vectorSampler"
super(samplesExtraction, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.workingDirectory = workingDirectory
self.output_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
self.ram_extraction = 1024.0 * get_RAM(self.resources["ram"])
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "preprocess_data"
super(sensorsPreprocess, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.workingDirectory = workingDirectory
self.RAM = 1024.0 * get_RAM(self.resources["ram"])
self.output_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "get_pixValidity"
super(PixelValidity, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.ram = 1024.0 * get_RAM(self.resources["ram"])
self.working_directory = workingDirectory
self.output_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "cmdClassifications"
super(classiCmd, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.workingDirectory = workingDirectory
self.output_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
self.field_region = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'regionField')
self.runs = SCF.serviceConfigFile(self.cfg).getParam('chain', 'runs')
self.region_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'regionPath')
self.ram_classification = 1024.0 * get_RAM(self.resources["ram"])
def __init__(self, cfg, cfg_resources_file, workingDirectory=None):
# heritage init
resources_block_name = "classifications"
super(classification, self).__init__(cfg, cfg_resources_file,
resources_block_name)
# step variables
self.workingDirectory = workingDirectory
self.output_path = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'outputPath')
self.data_field = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'dataField')
self.enable_autoContext = SCF.serviceConfigFile(self.cfg).getParam(
'chain', 'enable_autoContext')
self.RAM = 1024.0 * get_RAM(self.resources["ram"])
self.use_scikitlearn = SCF.serviceConfigFile(self.cfg).getParam(
'scikit_models_parameters', 'model_type') is not None
# ~ TODO : find a smarted way to determine the attribute self.scikit_tile_split
self.scikit_tile_split = 50
