from utils.converter import Converter

split_rate = 0.1

# Source dataset
raw_images_path = ['data\\RawData\\images\\non-makeup', 'data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\source\\Train'
test_dataset_path = '.\\data\\source\\Test'

data_converter = Converter(raw_images_path, split_rate, train_dataset_path, test_dataset_path)
data_converter.start()

# Reference dataset
raw_images_path = ['data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\reference\\Train'
test_dataset_path = '.\\data\\reference\\Test'

data_converter = Converter(raw_images_path, split_rate, train_dataset_path, test_dataset_path)
data_converter.start()

65f4dd092d4e951cf89282bdcf7118a6a4412781
<mask token>

<mask token>
data_converter.start()
<mask token>
data_converter.start()

<mask token>
split_rate = 0.1
raw_images_path = ['data\\RawData\\images\\non-makeup',
    'data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\source\\Train'
test_dataset_path = '.\\data\\source\\Test'
data_converter = Converter(raw_images_path, split_rate, train_dataset_path,
    test_dataset_path)
data_converter.start()
raw_images_path = ['data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\reference\\Train'
test_dataset_path = '.\\data\\reference\\Test'
data_converter = Converter(raw_images_path, split_rate, train_dataset_path,
    test_dataset_path)
data_converter.start()

from utils.converter import Converter
split_rate = 0.1
raw_images_path = ['data\\RawData\\images\\non-makeup',
    'data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\source\\Train'
test_dataset_path = '.\\data\\source\\Test'
data_converter = Converter(raw_images_path, split_rate, train_dataset_path,
    test_dataset_path)
data_converter.start()
raw_images_path = ['data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\reference\\Train'
test_dataset_path = '.\\data\\reference\\Test'
data_converter = Converter(raw_images_path, split_rate, train_dataset_path,
    test_dataset_path)
data_converter.start()

from utils.converter import Converter

split_rate = 0.1

# Source dataset
raw_images_path = ['data\\RawData\\images\\non-makeup', 'data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\source\\Train'
test_dataset_path = '.\\data\\source\\Test'

data_converter = Converter(raw_images_path, split_rate, train_dataset_path, test_dataset_path)
data_converter.start()

# Reference dataset
raw_images_path = ['data\\RawData\\images\\makeup']
train_dataset_path = '.\\data\\reference\\Train'
test_dataset_path = '.\\data\\reference\\Test'

data_converter = Converter(raw_images_path, split_rate, train_dataset_path, test_dataset_path)
data_converter.start()
