40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
import numpy as np
|
|
import os
|
|
from tqdm import tqdm
|
|
import argparse
|
|
import glob
|
|
import re
|
|
import pickle
|
|
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument('-ia', '--input_aus_filesdir', type=str, help='Dir with imgs aus files')
|
|
parser.add_argument('-op', '--output_path', type=str, help='Output path')
|
|
args = parser.parse_args()
|
|
|
|
def get_data(filepaths):
|
|
data = dict()
|
|
for filepath in tqdm(filepaths):
|
|
content = np.loadtxt(filepath, delimiter=', ', skiprows=1)
|
|
data[os.path.basename(filepath[:-4])] = content[2:19]
|
|
|
|
return data
|
|
|
|
def save_dict(data, name):
|
|
with open(name + '.pkl', 'wb') as f:
|
|
pickle.dump(data, f, pickle.HIGHEST_PROTOCOL)
|
|
|
|
def main():
|
|
filepaths = glob.glob(os.path.join(args.input_aus_filesdir, '*.csv'))
|
|
filepaths.sort()
|
|
|
|
# create aus file
|
|
data = get_data(filepaths)
|
|
|
|
if not os.path.isdir(args.output_path):
|
|
os.makedirs(args.output_path)
|
|
save_dict(data, os.path.join(args.output_path, "aus"))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|