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69 lines
2.6 KiB
69 lines
2.6 KiB
4 years ago
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import pytorch_lightning as pl
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import argparse
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import pprint
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from loguru import logger as loguru_logger
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from src.config.default import get_cfg_defaults
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from src.utils.profiler import build_profiler
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from src.lightning.data import MultiSceneDataModule
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from src.lightning.lightning_loftr import PL_LoFTR
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def parse_args():
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# init a costum parser which will be added into pl.Trainer parser
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# check documentation: https://pytorch-lightning.readthedocs.io/en/latest/common/trainer.html#trainer-flags
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parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument(
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'data_cfg_path', type=str, help='data config path')
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parser.add_argument(
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'main_cfg_path', type=str, help='main config path')
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parser.add_argument(
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'--ckpt_path', type=str, default="weights/indoor_ds.ckpt", help='path to the checkpoint')
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parser.add_argument(
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'--dump_dir', type=str, default=None, help="if set, the matching results will be dump to dump_dir")
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parser.add_argument(
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'--profiler_name', type=str, default=None, help='options: [inference, pytorch], or leave it unset')
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parser.add_argument(
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'--batch_size', type=int, default=1, help='batch_size per gpu')
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parser.add_argument(
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'--num_workers', type=int, default=2)
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parser.add_argument(
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'--thr', type=float, default=None, help='modify the coarse-level matching threshold.')
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parser = pl.Trainer.add_argparse_args(parser)
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return parser.parse_args()
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if __name__ == '__main__':
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# parse arguments
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args = parse_args()
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pprint.pprint(vars(args))
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# init default-cfg and merge it with the main- and data-cfg
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config = get_cfg_defaults()
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config.merge_from_file(args.main_cfg_path)
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config.merge_from_file(args.data_cfg_path)
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pl.seed_everything(config.TRAINER.SEED) # reproducibility
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# tune when testing
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if args.thr is not None:
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config.LOFTR.MATCH_COARSE.THR = args.thr
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loguru_logger.info(f"Args and config initialized!")
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# lightning module
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profiler = build_profiler(args.profiler_name)
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model = PL_LoFTR(config, pretrained_ckpt=args.ckpt_path, profiler=profiler, dump_dir=args.dump_dir)
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loguru_logger.info(f"LoFTR-lightning initialized!")
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# lightning data
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data_module = MultiSceneDataModule(args, config)
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loguru_logger.info(f"DataModule initialized!")
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# lightning trainer
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trainer = pl.Trainer.from_argparse_args(args, replace_sampler_ddp=False, logger=False)
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loguru_logger.info(f"Start testing!")
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trainer.test(model, datamodule=data_module, verbose=False)
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