import os
import numpy as np
import glob
emotion_directory = 'Emotion/'
label_file = 'label.lst'
image_directory = 'cohn-kanade-images/'
fo = open(label_file, 'w')


def find_image_files(sub, seq):
    file_num = len(glob.glob(os.path.join(image_directory, sub, seq, '*.png')))
    idx = [1, file_num - 2, file_num - 1, file_num]
    file_lst = []
    for i, v in enumerate(idx):
        file_lst.append(os.path.join(image_directory, sub, seq) + os.sep +
            sub + '_' + seq + '_' + '%08d' % v + '.png')
    return file_lst


for root, _, files in os.walk(emotion_directory):
    if len(files) < 1 or not files[0].endswith('txt'):
        continue
    sub = files[0].split('_')[0]
    seq = files[0].split('_')[1]
    label = np.loadtxt(os.path.join(root, files[0]))
    file_lst = find_image_files(sub, seq)
    fo.write(file_lst[0] + ' 0\n')
    fo.write(file_lst[1] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[2] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[3] + ' ' + str(int(label)) + '\n')
fo.close()

c8229e233020035be0dab4eeeb86faf860613bf6
<mask token>


def find_image_files(sub, seq):
    file_num = len(glob.glob(os.path.join(image_directory, sub, seq, '*.png')))
    idx = [1, file_num - 2, file_num - 1, file_num]
    file_lst = []
    for i, v in enumerate(idx):
        file_lst.append(os.path.join(image_directory, sub, seq) + os.sep +
            sub + '_' + seq + '_' + '%08d' % v + '.png')
    return file_lst


<mask token>

<mask token>


def find_image_files(sub, seq):
    file_num = len(glob.glob(os.path.join(image_directory, sub, seq, '*.png')))
    idx = [1, file_num - 2, file_num - 1, file_num]
    file_lst = []
    for i, v in enumerate(idx):
        file_lst.append(os.path.join(image_directory, sub, seq) + os.sep +
            sub + '_' + seq + '_' + '%08d' % v + '.png')
    return file_lst


for root, _, files in os.walk(emotion_directory):
    if len(files) < 1 or not files[0].endswith('txt'):
        continue
    sub = files[0].split('_')[0]
    seq = files[0].split('_')[1]
    label = np.loadtxt(os.path.join(root, files[0]))
    file_lst = find_image_files(sub, seq)
    fo.write(file_lst[0] + ' 0\n')
    fo.write(file_lst[1] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[2] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[3] + ' ' + str(int(label)) + '\n')
fo.close()

<mask token>
emotion_directory = 'Emotion/'
label_file = 'label.lst'
image_directory = 'cohn-kanade-images/'
fo = open(label_file, 'w')


def find_image_files(sub, seq):
    file_num = len(glob.glob(os.path.join(image_directory, sub, seq, '*.png')))
    idx = [1, file_num - 2, file_num - 1, file_num]
    file_lst = []
    for i, v in enumerate(idx):
        file_lst.append(os.path.join(image_directory, sub, seq) + os.sep +
            sub + '_' + seq + '_' + '%08d' % v + '.png')
    return file_lst


for root, _, files in os.walk(emotion_directory):
    if len(files) < 1 or not files[0].endswith('txt'):
        continue
    sub = files[0].split('_')[0]
    seq = files[0].split('_')[1]
    label = np.loadtxt(os.path.join(root, files[0]))
    file_lst = find_image_files(sub, seq)
    fo.write(file_lst[0] + ' 0\n')
    fo.write(file_lst[1] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[2] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[3] + ' ' + str(int(label)) + '\n')
fo.close()

import os
import numpy as np
import glob
emotion_directory = 'Emotion/'
label_file = 'label.lst'
image_directory = 'cohn-kanade-images/'
fo = open(label_file, 'w')


def find_image_files(sub, seq):
    file_num = len(glob.glob(os.path.join(image_directory, sub, seq, '*.png')))
    idx = [1, file_num - 2, file_num - 1, file_num]
    file_lst = []
    for i, v in enumerate(idx):
        file_lst.append(os.path.join(image_directory, sub, seq) + os.sep +
            sub + '_' + seq + '_' + '%08d' % v + '.png')
    return file_lst


for root, _, files in os.walk(emotion_directory):
    if len(files) < 1 or not files[0].endswith('txt'):
        continue
    sub = files[0].split('_')[0]
    seq = files[0].split('_')[1]
    label = np.loadtxt(os.path.join(root, files[0]))
    file_lst = find_image_files(sub, seq)
    fo.write(file_lst[0] + ' 0\n')
    fo.write(file_lst[1] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[2] + ' ' + str(int(label)) + '\n')
    fo.write(file_lst[3] + ' ' + str(int(label)) + '\n')
fo.close()
