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training.py
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training.py
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"""Main script-launcher for training of ZSL models.
"""
# TODO: replace all template variables with actual values
# after completing all modules
#region IMPORTS
import argparse
import sys
from config import config, default, generate_config
from src.zeroshot_networks.cada_vae.cada_vae_model import Model as CadaVaeModel
# TODO: from gan_net import gan_model
#endregion
#region ARGUMENTS
def init_arguments():
"""Initialize arguments replacing the default ones.
"""
parser = argparse.ArgumentParser(description='Main script-launcher for training of ZSL models')
# general configs
parser.add_argument('--model', default=config.model,
help='Name of model to use for ZSL training.')
parser.add_argument('--datasets', default=config.datasets,
help='Name of datasets to use for ZSL training.')
args, rest = parser.parse_known_args()
# datasets = args.datasets.split(',') # for multiple datasets
generate_config(parsed_model=args.model, parsed_datasets=args.datasets)
# place here other arguments, that are not in config.py if necessary
return parser
def check_arguments(args):
"""Check arguments compatibility and correctness.
"""
pass
def load_arguments():
"""Initialize, check and pass arguments.
"""
parser = init_arguments()
args = parser.parse_args()
check_arguments(args)
return args
#endregion
def main():
args = load_arguments()
#region DATA LOADING
if config.load_raw_modalities:
pass # TODO: load raw images and text attributes from dataset
if config.load_dataset_precomputed_embeddings:
pass # TODO: load precomputed embeddings from dataset
#endregion
#region DATA EMBEDDINGS EXTRACTION
if config.load_raw_modalities:
pass # TODO: pass loaded images and text attributes from the DATA LOADING region
# for obj embedding extraction
#endregion
#region OBJ EMBEDDINGS READING/CACHING
if config.load_cached_obj_embeddings:
pass # TODO: load cached objects embeddings
if config.cache_obj_embeddings:
pass # TODO: cache computed embeddings on the disk
#endregion
#region ZERO-SHOT MODELS TRAINING
if args.model == 'cada_vae':
cada_vae_model = CadaVaeModel(config)
cada_vae_model.to(config.device)
cada_vae_model.train_vae()
pass # TODO: initialize the model with configs
elif args.model == 'clswgan':
pass # TODO: initialize the model with configs
else:
raise NotImplementedError('Unknown network')
#endregion
#region ZERO-SHOT MODEL INFERENCE
zsl_embeddings = cada_vae_model.predict()
#endregion
if __name__ == '__main__':
main()