usage: save_process_image.py [-h] --csv_path CSV_PATH --root ROOT --save_path
                             SAVE_PATH --catego CATEGO

optional arguments:
  -h, --help            show this help message and exit
  --csv_path CSV_PATH
  --root ROOT
  --catego CATEGO

usage: train.py [-h] --path PATH --catego CATEGO --img_root IMG_ROOT [--num_classes NUM_CLASSES]
                [--combination_mode COMBINATION_MODE] [--image_mode IMAGE_MODE [IMAGE_MODE ...]]
                [--batch_size BATCH_SIZE] [--weight_save_path WEIGHT_SAVE_PATH] [--model MODEL]
                [--epochs EPOCHS] [--learning_rate LEARNING_RATE]

optional arguments:
  -h, --help            show this help message and exit
  --path PATH           Path for the csv file for training data
  --catego CATEGO       SAMM or CASME dataset
  --img_root IMG_ROOT   Root for the training image
  --num_classes NUM_CLASSES
                        Classes to be trained
  --combination_mode COMBINATION_MODE
                        Mode to be used in combination
  --image_mode IMAGE_MODE [IMAGE_MODE ...]
                        Image type to be used in training
  --batch_size BATCH_SIZE
                        Training batch size
  --weight_save_path WEIGHT_SAVE_PATH
                        Path for the saving weight
  --model MODEL         Model to used for training
  --epochs EPOCHS       Epochs for training the model
  --learning_rate LEARNING_RATE
                        Learning rate for training the model

# For DSSN
... \
--image_mode F G \
...

# For SSSN
... \
--image_mode G