input_set_use1serule = arcpy.GetParameterAsText(14)
input_set_truncate_pruned_tree_to_false = arcpy.GetParameterAsText(15)
input_user_seed = arcpy.GetParameterAsText(16)
input_ram = arcpy.GetParameterAsText(17)
out_conf_matrix = arcpy.GetParameterAsText(18)
out_model = arcpy.GetParameterAsText(19)
# Generate OTB commands
command_list = []
# State which classifier is being used
input_classifier = '-classifier dt'
command_list.append(input_classifier)
# Generate command for input imagery
otb_input_images = generate_command('-io.il ', True, input_images, True)
command_list.append(otb_input_images)
# Generate command for input shapefiles
otb_input_train_shp = generate_command('-io.vd ', True, input_shapefiles, True)
command_list.append(otb_input_train_shp)
# Generate command for XML Stats
if len(input_xml_stats) > 0:
otb_input_xml_stats = generate_command('-io.imstat ', True,
input_xml_stats, False)
command_list.append(otb_input_xml_stats)
# Generate command for default elevation
otb_input_default_elev = generate_command('-elev.default ', False,
input_default_elev, False)
input_name_discrimination_field = arcpy.GetParameterAsText(8)
input_number_of_neighbors = arcpy.GetParameterAsText(9)
input_user_seed = arcpy.GetParameterAsText(10)
input_ram = arcpy.GetParameterAsText(11)
out_conf_matrix = arcpy.GetParameterAsText(12)
out_model = arcpy.GetParameterAsText(13)
# Generate OTB commands
command_list = []
# State which classifier is being used
input_classifier = '-classifier libsvm'
command_list.append(input_classifier)
# Generate command for input shapefiles
otb_input_train_shp = generate_command('-io.vd ', True, input_train_shp, True)
command_list.append(otb_input_train_shp)
# Generate command for XML Stats
if len(input_xml_stats) > 0:
otb_input_xml_stats = generate_command('-io.imstat ', True, input_xml_stats, False)
command_list.append(otb_input_xml_stats)
# Generate command for default elevation
otb_input_default_elev = generate_command('-elev.default ', False, input_default_elev, False)
command_list.append(otb_input_default_elev)
# Generate command for max train class sample
otb_input_max_class_train_sample = generate_command('-sample.mt ', False, input_max_class_train_sample, False)
command_list.append(otb_input_max_class_train_sample)
input_weak_count = arcpy.GetParameterAsText(10)
input_weight_trim_rate = arcpy.GetParameterAsText(11)
input_max_depth_tree = arcpy.GetParameterAsText(12)
input_ram = arcpy.GetParameterAsText(13)
out_conf_matrix = arcpy.GetParameterAsText(14)
out_model = arcpy.GetParameterAsText(15)
# Generate OTB commands
command_list = []
# State which classifier is being used
input_classifier = '-classifier boost'
command_list.append(input_classifier)
# Generate command for input imagery
otb_input_images = generate_command('-io.il ', True, input_images, True)
command_list.append(otb_input_images)
# Generate command for input shapefiles
otb_input_train_shp = generate_command('-io.vd ', True, input_shapefiles, True)
command_list.append(otb_input_train_shp)
# Generate command for XML Stats
if len(input_xml_stats) > 0:
otb_input_xml_stats = generate_command('-io.imstat ', True,
input_xml_stats, False)
command_list.append(otb_input_xml_stats)
# Generate command for default elevation
otb_input_default_elev = generate_command('-elev.default ', False,
input_default_elev, False)
if not os.path.exists(otb_dir):
raise Exception('OTB files not found!')
# Input vars
input_image = arcpy.GetParameterAsText(0)
input_ref_image = arcpy.GetParameterAsText(1)
input_value_for_nodata = arcpy.GetParameterAsText(2)
input_ram = arcpy.GetParameterAsText(3)
output_matrix_output = arcpy.GetParameterAsText(4)
# Generate OTB commands
command_list = []
# Generate command for input classified image
otb_input_train_shp = generate_command('-in ', True, input_image, False)
command_list.append(otb_input_train_shp)
# Generate command for truth type
otb_input_truth_type = generate_command('-ref ', False, 'raster', False)
command_list.append(otb_input_truth_type)
# Generate command for input ref image
otb_input_ref_image = generate_command('-ref.raster.in ', True, input_ref_image, False)
command_list.append(otb_input_ref_image)
# Generate command for value for nodata pixels
otb_input_value_for_nodata = generate_command('-ref.raster.nodata ', False, input_value_for_nodata, False)
command_list.append(otb_input_value_for_nodata)
# Generate command for matrix output
raise Exception('OTB files not found!')
# Input vars
input_image = arcpy.GetParameterAsText(0)
input_mask = arcpy.GetParameterAsText(1)
input_model = arcpy.GetParameterAsText(2)
input_ram = arcpy.GetParameterAsText(3)
input_statistics = arcpy.GetParameterAsText(4)
input_no_data_label = arcpy.GetParameterAsText(5)
input_output_image = arcpy.GetParameterAsText(6)
input_output_conf = arcpy.GetParameterAsText(7)
# Generate OTB commands
command_list = []
otb_input_image = generate_command('-in ', True, input_image)
command_list.append(otb_input_image)
otb_input_mask = generate_command('-mask ', True, input_mask)
command_list.append(otb_input_mask)
otb_input_model = generate_command('-model ', True, input_model)
command_list.append(otb_input_model)
otb_input_ram = generate_command('-ram ', False, input_ram)
command_list.append(otb_input_ram)
if len(input_statistics) > 0:
otb_input_statistics = generate_command('-imstat ', True, input_statistics)
command_list.append(otb_input_statistics)
input_images = arcpy.GetParameterAsText(0)
input_model = arcpy.GetParameterAsText(1)
input_ram = arcpy.GetParameterAsText(2)
input_output_batch_prefix = arcpy.GetParameterAsText(3)
input_output_folder = arcpy.GetParameterAsText(4)
input_output_conf = arcpy.GetParameterAsText(5)
# Generate OTB commands
command_list = []
for idx, input_image in enumerate(input_images.split(';')):
input_image = input_image.rstrip("'")
input_image = input_image.lstrip("'")
otb_input_image = generate_command('-in ', True, input_image)
command_list.append(otb_input_image)
otb_input_model = generate_command('-model ', True, input_model)
command_list.append(otb_input_model)
otb_input_ram = generate_command('-ram ', False, input_ram)
command_list.append(otb_input_ram)
output_file = str(idx) + '_' + input_output_batch_prefix + '.tif'
input_output_image = os.path.join(input_output_folder, output_file)
otb_input_output_image = generate_command('-out ', True,
input_output_image, False)
command_list.append(otb_input_output_image)
if str(input_output_conf) == 'true':
input_image = arcpy.GetParameterAsText(0)
input_ram = arcpy.GetParameterAsText(1)
input_validity_mask = arcpy.GetParameterAsText(2)
input_training_set_size = arcpy.GetParameterAsText(3)
input_number_of_classes = arcpy.GetParameterAsText(4)
input_max_num_iterations = arcpy.GetParameterAsText(5)
input_sampler_type = arcpy.GetParameterAsText(6)
input_mask_value = arcpy.GetParameterAsText(7)
input_seed = arcpy.GetParameterAsText(8)
output_centroid_file = arcpy.GetParameterAsText(9)
output_file = arcpy.GetParameterAsText(10)
command_list = []
# Generate command for input image
otb_input_image = generate_command('-in ', True, input_image, False)
command_list.append(otb_input_image)
# Generate command for RAM limit
otb_input_ram = generate_command('-ram ', False, input_ram, False)
command_list.append(otb_input_ram)
# Generate command for validity mask
if len(input_validity_mask) > 0:
otb_input_validity_mask = generate_command('-vm ', True,
input_validity_mask, False)
command_list.append(otb_input_validity_mask)
# Generate command for training set size
otb_input_training_set_size = generate_command('-ts ', False,
input_training_set_size, False)
input_parameter_optimization = arcpy.GetParameterAsText(13)
input_probability_estimation = arcpy.GetParameterAsText(14)
input_user_seed = arcpy.GetParameterAsText(15)
input_ram = arcpy.GetParameterAsText(16)
out_conf_matrix = arcpy.GetParameterAsText(17)
out_model = arcpy.GetParameterAsText(18)
# Generate OTB commands
command_list = []
# State which classifier is being used
input_classifier = '-classifier libsvm'
command_list.append(input_classifier)
# Generate command for input shapefiles
otb_input_train_shp = generate_command('-io.vd ', True, input_train_shp, True)
command_list.append(otb_input_train_shp)
# Generate command for XML Stats
if len(input_xml_stats) > 0:
otb_input_xml_stats = generate_command('-io.imstat ', True,
input_xml_stats, False)
command_list.append(otb_input_xml_stats)
# Generate command for default elevation
otb_input_default_elev = generate_command('-elev.default ', False,
input_default_elev, False)
command_list.append(otb_input_default_elev)
# Generate command for max train class sample
otb_input_max_class_train_sample = generate_command(
input_maximum_number_trees = arcpy.GetParameterAsText(14)
input_oob_error = arcpy.GetParameterAsText(15)
input_user_seed = arcpy.GetParameterAsText(16)
input_ram = arcpy.GetParameterAsText(17)
out_conf_matrix = arcpy.GetParameterAsText(18)
out_model = arcpy.GetParameterAsText(19)
# Generate OTB commands
command_list = []
# State which classifier is being used
input_classifier = '-classifier rf'
command_list.append(input_classifier)
# Generate command for input imagery
otb_input_images = generate_command('-io.il ', True, input_images, True)
command_list.append(otb_input_images)
# Generate command for input shapefiles
otb_input_train_shp = generate_command('-io.vd ', True, input_train_shp, True)
command_list.append(otb_input_train_shp)
# Generate command for XML Stats
if len(input_xml_stats) > 0:
otb_input_xml_stats = generate_command('-io.imstat ', True, input_xml_stats, False)
command_list.append(otb_input_xml_stats)
# Generate command for default elevation
otb_input_default_elev = generate_command('-elev.default ', False, input_default_elev, False)
command_list.append(otb_input_default_elev)
otb_dir_devenv = os.path.join(otb_dir, 'start_devenv.bat')
if not os.path.exists(otb_dir):
raise Exception('OTB files not found!')
# Input vars
input_before_image = arcpy.GetParameterAsText(0)
input_after_image = arcpy.GetParameterAsText(1)
input_ram = arcpy.GetParameterAsText(2)
output_change_map = arcpy.GetParameterAsText(3)
# Generate OTB commands
command_list = []
# Generate command for input image (before)
otb_input_before_image = generate_command('-in1 ', True, input_before_image,
False)
command_list.append(otb_input_before_image)
# Generate command for input image (after)
otb_input_after_image = generate_command('-in2 ', True, input_after_image,
False)
command_list.append(otb_input_after_image)
# Generate command for ram usage
otb_input_ram = generate_command('-ram ', False, input_ram, False)
command_list.append(otb_input_ram)
# Generate command for output change map
otb_output_change_map = generate_command('-out ', True, output_change_map,
False)
command_list.append(otb_output_change_map)