Create data folder before downloading MegaDepth1500

gluefactory/eval/megadepth1500.py

@@ -1,3 +1,4 @@
+import logging
 import zipfile
 from collections import defaultdict
 from collections.abc import Iterable
@@ -19,6 +20,8 @@
 from .io import get_eval_parser, load_model, parse_eval_args
 from .utils import eval_matches_epipolar, eval_poses, eval_relative_pose_robust
 
+logger = logging.getLogger(__name__)
+
 
 class MegaDepth1500Pipeline(EvalPipeline):
     default_conf = {
@@ -56,11 +59,13 @@ class MegaDepth1500Pipeline(EvalPipeline):
 
     def _init(self, conf):
         if not (DATA_PATH / "megadepth1500").exists():
+            logger.info("Downloading the MegaDepth-1500 dataset.")
             url = "https://cvg-data.inf.ethz.ch/megadepth/megadepth1500.zip"
             zip_path = DATA_PATH / url.rsplit("/", 1)[-1]
+            zip_path.parent.mkdir(exist_ok=True, parents=True)
             torch.hub.download_url_to_file(url, zip_path)
-            with zipfile.ZipFile(zip_path) as zip:
-                zip.extractall(DATA_PATH)
+            with zipfile.ZipFile(zip_path) as fid:
+                fid.extractall(DATA_PATH)
             zip_path.unlink()
 
     @classmethod
@@ -147,6 +152,8 @@ def run_eval(self, loader, pred_file):
 
 
 if __name__ == "__main__":
+    from .. import logger  # overwrite the logger
+
     dataset_name = Path(__file__).stem
     parser = get_eval_parser()
     args = parser.parse_intermixed_args()