def main():
    train_image_dir = sample_conf['train_image_dir']
    char_set = sample_conf['char_set']
    model_save_dir = sample_conf['model_save_dir']
    tm = TrainModel(train_image_dir, char_set, model_save_dir, verify=False)
    tm.train_cnn()
def main():
    train_image_dir = sample_conf['train_image_dir']
    char_set = sample_conf['char_set']
    model_save_dir = sample_conf['model_save_dir']
    tm = TrainModel(train_image_dir, char_set, model_save_dir, verify=False)
    tm.train_cnn()