diff --git a/hloc/extractors/dedode.py b/hloc/extractors/dedode.py
index 100d1d3..4bb52c3 100644
--- a/hloc/extractors/dedode.py
+++ b/hloc/extractors/dedode.py
@@ -3,11 +3,11 @@
 
 import torch
 import torchvision.transforms as transforms
+from kornia import feature as KF
 
 from hloc import MODEL_REPO_ID, logger
 
 from ..utils.base_model import BaseModel
-from kornia import feature as KF
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
@@ -27,7 +27,10 @@ class DeDoDe(BaseModel):
 
     # Initialize the line matcher
     def _init(self, conf):
-        self.model = KF.DeDoDe.from_pretrained(detector_weights=conf["detector_model"], descriptor_weights=conf["descriptor_model"])
+        self.model = KF.DeDoDe.from_pretrained(
+            detector_weights=conf["detector_model"],
+            descriptor_weights=conf["descriptor_model"],
+        )
         logger.info("Load DeDoDe model done.")
 
     def _forward(self, data):
@@ -38,7 +41,9 @@ def _forward(self, data):
         """
         img0 = data["image"].float()
 
-        coords, scores, descriptions = self.model(img0, n=self.conf["max_keypoints"])
+        coords, scores, descriptions = self.model(
+            img0, n=self.conf["max_keypoints"]
+        )
 
         return {
             "keypoints": coords,  # 1 x N x 2
diff --git a/hloc/matchers/lightglue.py b/hloc/matchers/lightglue.py
index e778867..1dfcbe4 100644
--- a/hloc/matchers/lightglue.py
+++ b/hloc/matchers/lightglue.py
@@ -1,9 +1,10 @@
-import torch
 import kornia.feature as KF
+import torch
 
 from .. import MODEL_REPO_ID, logger
 from ..utils.base_model import BaseModel
 
+
 class LightGlue(BaseModel):
     default_conf = {
         "match_threshold": 0.2,