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Runtime error
| import logging | |
| import torch | |
| from packaging import version | |
| __version__ = "1.5" | |
| formatter = logging.Formatter( | |
| fmt="[%(asctime)s %(name)s %(levelname)s] %(message)s", | |
| datefmt="%Y/%m/%d %H:%M:%S", | |
| ) | |
| handler = logging.StreamHandler() | |
| handler.setFormatter(formatter) | |
| handler.setLevel(logging.INFO) | |
| logger = logging.getLogger("hloc") | |
| logger.setLevel(logging.INFO) | |
| logger.addHandler(handler) | |
| logger.propagate = False | |
| try: | |
| import pycolmap | |
| except ImportError: | |
| logger.warning("pycolmap is not installed, some features may not work.") | |
| else: | |
| min_version = version.parse("0.6.0") | |
| found_version = pycolmap.__version__ | |
| if found_version != "dev": | |
| version = version.parse(found_version) | |
| if version < min_version: | |
| s = f"pycolmap>={min_version}" | |
| logger.warning( | |
| "hloc requires %s but found pycolmap==%s, " | |
| 'please upgrade with `pip install --upgrade "%s"`', | |
| s, | |
| found_version, | |
| s, | |
| ) | |
| DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |