infer.py

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"""
Description : main module to run the lipnet inference code
"""


import argparse
from trainer import Train

def main():
    """
    Description : run lipnet training code using argument info
    """
    parser = argparse.ArgumentParser()
    parser.add_argument('--batch_size', type=int, default=64)
    parser.add_argument('--image_path', type=str, default='./data/datasets/')
    parser.add_argument('--align_path', type=str, default='./data/align/')
    parser.add_argument('--num_gpus', type=int, default=1)
    parser.add_argument('--num_workers', type=int, default=0)
    parser.add_argument('--data_type', type=str, default='valid')
    parser.add_argument('--model_path', type=str, default=None)
    config = parser.parse_args()
    trainer = Train(config)
    trainer.build_model(path=config.model_path)
    trainer.load_dataloader()

    if config.data_type == 'train':
        data_loader = trainer.train_dataloader
    elif config.data_type == 'valid':
        data_loader = trainer.valid_dataloader

    trainer.infer_batch(data_loader)

if __name__ == "__main__":
    main()