model_param.path_model = arguments["-model"]
model_param.todo_model = 'load'
seg_param.output_path = sct.slash_at_the_end(arguments["-ofolder"], slash=1)
if "-t2" in arguments:
input_t2_data = arguments["-t2"]
if "-vert" in arguments:
input_level_fname = arguments["-vert"]
if "-use-levels" in arguments:
model_param.use_levels = bool(int(arguments["-use-levels"]))
if "-weight" in arguments:
model_param.weight_gamma = arguments["-weight"]
if "-denoising" in arguments:
seg_param.target_denoising = bool(int(arguments["-denoising"]))
if "-normalize" in arguments:
seg_param.target_normalization = bool(int(arguments["-normalize"]))
if "-means" in arguments:
seg_param.target_means = arguments["-means"]
if "-ratio" in arguments:
if arguments["-ratio"] == '0':
compute_ratio = False
else:
compute_ratio = arguments["-ratio"]
if "-ratio-level" in arguments:
if arguments["-ratio-level"] == '0':
compute_ratio = False
else:
if ':' in arguments["-ratio-level"]:
compute_ratio = arguments["-ratio-level"]
else:
sct.printv('WARNING: -ratio-level function should be used with a range of vertebral levels (for ex: "C2:C5"). Ignoring option.', 1, 'warning')
