def main(args):
if len(args) < 2:
menu = (
"Usage: {0} preprocess [config_file] \n"
" {0} train [config_file] [test_index] [val_index] [seed]\n"
" {0} saliency [config_file] [test_index] [val_index] "
"[seed] [testing|validating|training] [index]")
print(menu.format(args[0]))
exit(1)
config = load_config(args[2])
if args[1] == 'preprocess':
preprocess(config)
elif args[1] == 'train':
test_index = int(args[3])
validation_index = int(args[4])
myseed = int(args[5])
train(test_index, validation_index, myseed, config)
else:
test_index = int(args[3])
validation_index = int(args[4])
myseed = int(args[5])
setname = args[6]
index = int(args[7])
saliency(test_index, validation_index, myseed, config, setname, index)
def load_all(config_files):
"""Load config files."""
result = []
for config_file in config_files:
config = load_config(config_file)
config['name'] = config_file
result.append(config)
return result
def main(args):
if len(args) < 3:
print("Usage: {0} [preprocess|run] [config_file.json]".format(args[0]))
exit(1)
config = load_config(args[2])
if args[1] == 'preprocess':
# make all preprocessing stages before pass them to the CNN
preprocess(config)
else:
run_all(config)
def main(args):
if len(args) < 2:
menu = "Usage: {0} [main_config]"
print(menu.format(args[0]))
exit(1)
filename = args[1]
main_config = load_config(filename)
main_config['name'] = filename
configs = copy_conf(main_config,
load_all(get_config_filenames(filename, main_config)))
preprocess_all(configs)
run_all(main_config, configs)
def main(args):
if len(args) < 2:
menu = ("Usage: {0} preprocess [config_file] \n"
" {0} run [config_file] [test_index] [validation_index] "
"[seed] \n"
" {0} predict [config_file]")
print(menu.format(args[0]))
exit(1)
config = load_config(args[2])
if args[1] == 'preprocess':
preprocess(config)
elif args[1] == 'run':
test_index = int(args[3])
validation_index = int(args[4])
myseed = int(args[5])
run(test_index, validation_index, myseed, config)
else:
myseed = int(args[3])
m, report, accuracy = predict(myseed, config)