def dir_config(args):
    if not os.path.exists(args.dataset_dir):
        raise ValueError('Supply the dataset directory with --dataset_dir')
    directory.makedir(args.log_dir)
    # save checkpoint
    directory.makedir(args.checkpoint_dir)
    directory.makedir(os.path.join(args.checkpoint_dir,'model_best'))
Example #2
0
    val_metadata = process_metadata('val', val_data, args)
    test_metadata = process_metadata('test', test_data, args)

    # Decode Imagedata to index caption and replace image file_root with image vecetor.
    train_decodedata = process_decodedata(train_metadata, vocab)
    val_decodedata = process_decodedata(val_metadata, vocab)
    test_decodedata = process_decodedata(test_metadata, vocab)

    process_dataset('train', train_decodedata)
    process_dataset('val', val_decodedata)
    process_dataset('test', test_decodedata)


def parse_args():
    parser = argparse.ArgumentParser(
        description='Command for data preprocessing')
    parser.add_argument('--img_root', type=str)
    parser.add_argument('--json_root', type=str)
    parser.add_argument('--out_root', type=str)
    parser.add_argument('--min_word_count', type=int)
    parser.add_argument('--default_image_size', type=int, default=224)
    parser.add_argument('--first', action='store_true')
    args = parser.parse_args()
    return args


if __name__ == '__main__':
    args = parse_args()
    makedir(args.out_root)
    process_data(args)
Example #3
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            'optimizer': optimizer.state_dict(),
            'W': compute_loss.W,
            'epoch': args.start_epoch + epoch
        }

        save_checkpoint(state, epoch, args.checkpoint_dir, False)

        adjust_lr(optimizer, args.start_epoch + epoch, args)
        scheduler.step()

        for param in optimizer.param_groups:
            print('lr:{}'.format(param['lr']))
            break


if __name__ == "__main__":

    # Get arguments passed by user
    args = get_train_args()

    # Validate existence of image and annotation directory
    if not os.path.exists(args.image_dir):
        raise ValueError('Supply the dataset directory with --image_dir')
    if not os.path.exists(args.anno_dir):
        raise ValueError('Supply the anno file with --anno_dir')

    # save checkpoint
    makedir(args.checkpoint_dir)
    makedir(os.path.join(args.checkpoint_dir, 'model_best'))

    main(args)