def do_loocv(directory):
original_path = os.path.abspath('.')
os.chdir(directory)
dic_3d = None
dic_by_slice = None
for dir_name in os.listdir('.'):
if os.path.isdir(dir_name):
if '3d' in dir_name.lower():
dic_3d = dir_name
if 'by_slice' in dir_name.lower():
dic_by_slice = dir_name
if dic_3d is None or dic_by_slice is None:
sct.printv('WARNING: dictionaries not in the loocv folder ...', 1, 'warning')
else:
denoising = factors_levels['denoising'][exp_plan[directory][factors['denoising']]]
reg = factors_levels['reg'][exp_plan[directory][factors['reg']]]
metric = factors_levels['metric'][exp_plan[directory][factors['metric']]]
gamma = factors_levels['gamma'][exp_plan[directory][factors['gamma']]]
eq = factors_levels['eq'][exp_plan[directory][factors['eq']]]
mode_weight = factors_levels['mode_weight'][exp_plan[directory][factors['mode_weight']]]
w_label_fus = factors_levels['weighted_label_fusion'][exp_plan[directory][factors['weighted_label_fusion']]]
leave_one_out_by_subject(dic_by_slice, dic_3d, denoising=denoising, reg=reg, metric=metric, use_levels=bool(gamma), weight=gamma, eq=eq, mode_weighted_sim=mode_weight, weighted_label_fusion=w_label_fus)
os.chdir(original_path)
def loocv(name_dir):
words = name_dir.split('_')
weight = float(words[-1])
use_level = bool(words[-3])
os.chdir(name_dir)
leave_one_out_by_subject('dictionary/', use_levels=use_level, weight=weight)
os.chdir('..')
def loocv(param):
use_level, weight = param
sct.run('mkdir ./' + registration + '_levels_' + str(use_level) + '_weight' + str(weight) )
sct.run('cp -r ' + path_dictionary + ' ./' + registration + '_levels_' + str(use_level) + '_weight' + str(weight) + '/dictionary')
os.chdir('./' +registration + '_levels_' + str(use_level) + '_weight' + str(weight))
# leave_one_out_by_slice('dictionary/', reg=registration, target_reg=target_reg, use_levels=use_level, weight=weight)
leave_one_out_by_subject('dictionary/', use_levels=use_level, weight=weight)
os.chdir('..')
def loocv(param):
use_level, weight = param
sct.run('mkdir ./' + registration + '_levels_' + str(use_level) +
'_weight' + str(weight))
sct.run('cp -r ' + path_dictionary + ' ./' + registration + '_levels_' +
str(use_level) + '_weight' + str(weight) + '/dictionary')
os.chdir('./' + registration + '_levels_' + str(use_level) + '_weight' +
str(weight))
# leave_one_out_by_slice('dictionary/', reg=registration, target_reg=target_reg, use_levels=use_level, weight=weight)
leave_one_out_by_subject('dictionary/',
use_levels=use_level,
weight=weight)
os.chdir('..')
def do_loocv(directory):
original_path = os.path.abspath('.')
os.chdir(directory)
dic_3d = None
dic_by_slice = None
for dir_name in os.listdir('.'):
if os.path.isdir(dir_name):
if '3d' in dir_name.lower():
dic_3d = dir_name
if 'by_slice' in dir_name.lower():
dic_by_slice = dir_name
if dic_3d is None or dic_by_slice is None:
sct.printv('WARNING: dictionaries not in the loocv folder ...', 1,
'warning')
else:
denoising = factors_levels['denoising'][exp_plan[directory][
factors['denoising']]]
reg = factors_levels['reg'][exp_plan[directory][factors['reg']]]
metric = factors_levels['metric'][exp_plan[directory][
factors['metric']]]
gamma = factors_levels['gamma'][exp_plan[directory][factors['gamma']]]
eq = factors_levels['eq'][exp_plan[directory][factors['eq']]]
mode_weight = factors_levels['mode_weight'][exp_plan[directory][
factors['mode_weight']]]
w_label_fus = factors_levels['weighted_label_fusion'][
exp_plan[directory][factors['weighted_label_fusion']]]
leave_one_out_by_subject(dic_by_slice,
dic_3d,
denoising=denoising,
reg=reg,
metric=metric,
use_levels=bool(gamma),
weight=gamma,
eq=eq,
mode_weighted_sim=mode_weight,
weighted_label_fusion=w_label_fus)
os.chdir(original_path)
