diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 0604a76..62a7aa3 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -5,7 +5,7 @@
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v4.6.0
     hooks:
       - id: check-ast
       - id: trailing-whitespace
@@ -13,11 +13,11 @@ repos:
       - id: mixed-line-ending
       - id: check-added-large-files
   - repo: https://github.com/psf/black
-    rev: 24.3.0
+    rev: 24.4.2
     hooks:
       - id: black
   - repo: https://github.com/igorshubovych/markdownlint-cli
-    rev: v0.39.0
+    rev: v0.41.0
     hooks:
       - id: markdownlint
   - repo: https://github.com/pycqa/flake8
diff --git a/stitching/feature_detector.py b/stitching/feature_detector.py
index 6b77ee4..9cf7112 100644
--- a/stitching/feature_detector.py
+++ b/stitching/feature_detector.py
@@ -35,8 +35,8 @@ def detect_with_masks(self, imgs, masks):
                 raise StitchingError("image and mask lists must be of same length")
             if not np.array_equal(img.shape[:2], mask.shape):
                 raise StitchingError(
-                    f"Resolution of mask {idx+1} {mask.shape} does not match"
-                    f" the resolution of image {idx+1} {img.shape[:2]}."
+                    f"Resolution of mask {idx + 1} {mask.shape} does not match"
+                    f" the resolution of image {idx + 1} {img.shape[:2]}."
                 )
             features.append(self.detect_features(img, mask=mask))
         return features
diff --git a/stitching/verbose.py b/stitching/verbose.py
index 03123d0..6982972 100644
--- a/stitching/verbose.py
+++ b/stitching/verbose.py
@@ -22,7 +22,7 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
     features = stitcher.find_features(imgs, feature_masks)
     for idx, img_features in enumerate(features):
         img_with_features = finder.draw_keypoints(imgs[idx], img_features)
-        write_verbose_result(_dir, f"01_features_img{idx+1}.jpg", img_with_features)
+        write_verbose_result(_dir, f"01_features_img{idx + 1}.jpg", img_with_features)
 
     # Match Features
     matcher = stitcher.matcher
@@ -42,7 +42,9 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
         )
     )
     for idx1, idx2, img in all_relevant_matches:
-        write_verbose_result(_dir, f"02_matches_img{idx1+1}_to_img{idx2+1}.jpg", img)
+        write_verbose_result(
+            _dir, f"02_matches_img{idx1 + 1}_to_img{idx2 + 1}.jpg", img
+        )
 
     # Subset
     subsetter = stitcher.subsetter
@@ -90,7 +92,7 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
     final_corners, final_sizes = warper.warp_rois(final_sizes, cameras, camera_aspect)
 
     for idx, warped_img in enumerate(final_imgs):
-        write_verbose_result(_dir, f"04_warped_img{idx+1}.jpg", warped_img)
+        write_verbose_result(_dir, f"04_warped_img{idx + 1}.jpg", warped_img)
 
     # Excursion: Timelapser
     timelapser = Timelapser("as_is")
@@ -99,7 +101,7 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
     for idx, (img, corner) in enumerate(zip(final_imgs, final_corners)):
         timelapser.process_frame(img, corner)
         frame = timelapser.get_frame()
-        write_verbose_result(_dir, f"05_timelapse_img{idx+1}.jpg", frame)
+        write_verbose_result(_dir, f"05_timelapse_img{idx + 1}.jpg", frame)
 
     # Crop
     cropper = stitcher.cropper
@@ -135,7 +137,7 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
         for idx, (img, corner) in enumerate(zip(final_imgs, final_corners)):
             timelapser.process_frame(img, corner)
             frame = timelapser.get_frame()
-            write_verbose_result(_dir, f"07_timelapse_cropped_img{idx+1}.jpg", frame)
+            write_verbose_result(_dir, f"07_timelapse_cropped_img{idx + 1}.jpg", frame)
 
     # Seam Masks
     seam_finder = stitcher.seam_finder
@@ -151,7 +153,7 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
     ]
 
     for idx, seam_mask in enumerate(seam_masks_plots):
-        write_verbose_result(_dir, f"08_seam_mask{idx+1}.jpg", seam_mask)
+        write_verbose_result(_dir, f"08_seam_mask{idx + 1}.jpg", seam_mask)
 
     # Exposure Error Compensation
     compensator = stitcher.compensator
@@ -166,7 +168,7 @@ def verbose_stitching(stitcher, images, feature_masks=[], verbose_dir=None):
     ]
 
     for idx, compensated_img in enumerate(compensated_imgs):
-        write_verbose_result(_dir, f"08_compensated{idx+1}.jpg", compensated_img)
+        write_verbose_result(_dir, f"08_compensated{idx + 1}.jpg", compensated_img)
 
     # Blending
     blender = stitcher.blender