example=["thr", "n"],
)
parser.add_option(
name="-v",
type_value="int",
description="verbose: 0 = nothing, 1 = classic, 2 = expended",
mandatory=False,
default_value=0,
example="1",
)
arguments = parser.parse(sys.argv[1:])
input_target_fname = arguments["-i"]
input_sc_seg_fname = arguments["-s"]
param.path_dictionary = arguments["-dic"]
param.todo_model = "load"
if "-t2" in arguments:
input_t2_data = arguments["-t2"]
if "-l" in arguments:
input_level_fname = arguments["-l"]
if "-first-reg" in arguments:
param.first_reg = bool(int(arguments["-first-reg"]))
if "-use-levels" in arguments:
param.use_levels = bool(int(arguments["-use-levels"]))
if "-weight" in arguments:
param.weight_beta = arguments["-weight"]
if "-res-type" in arguments:
param.res_type = arguments["-res-type"]
if "-z" in arguments:
param.z_regularisation = bool(int(arguments["-z"]))
description="Reference segmentation of the gray matter",
mandatory=False,
example='manual_gm_seg.nii.gz')
parser.add_option(
name="-v",
type_value="int",
description="verbose: 0 = nothing, 1 = classic, 2 = expended",
mandatory=False,
default_value=0,
example='1')
arguments = parser.parse(sys.argv[1:])
input_target_fname = arguments["-i"]
input_sc_seg_fname = arguments["-s"]
param.path_dictionary = arguments["-dic"]
param.todo_model = 'load'
if "-t2" in arguments:
input_t2_data = arguments["-t2"]
if "-l" in arguments:
input_level_fname = arguments["-l"]
if "-first-reg" in arguments:
param.first_reg = bool(int(arguments["-first-reg"]))
if "-use-levels" in arguments:
param.use_levels = bool(int(arguments["-use-levels"]))
if "-weight" in arguments:
param.weight_gamma = arguments["-weight"]
if "-res-type" in arguments:
param.res_type = arguments["-res-type"]
if "-z" in arguments:
param.z_regularisation = bool(int(arguments["-z"]))
type_value="file",
description="Reference segmentation of the gray matter",
mandatory=False,
example='manual_gm_seg.nii.gz')
parser.add_option(name="-v",
type_value="int",
description="verbose: 0 = nothing, 1 = classic, 2 = expended",
mandatory=False,
default_value=0,
example='1')
arguments = parser.parse(sys.argv[1:])
input_target_fname = arguments["-i"]
input_sc_seg_fname = arguments["-s"]
param.path_dictionary = arguments["-dic"]
param.todo_model = 'load'
if "-t2" in arguments:
input_t2_data = arguments["-t2"]
if "-l" in arguments:
input_level_fname = arguments["-l"]
if "-first-reg" in arguments:
param.first_reg = bool(int(arguments["-first-reg"]))
if "-use-levels" in arguments:
param.use_levels = bool(int(arguments["-use-levels"]))
if "-weight" in arguments:
param.weight_gamma = arguments["-weight"]
if "-res-type" in arguments:
param.res_type = arguments["-res-type"]
if "-z" in arguments:
param.z_regularisation = bool(int(arguments["-z"]))
