pre-commit autoupdate 2025-10-04

.pre-commit-config.yaml

@@ -7,7 +7,7 @@ ci:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: trailing-whitespace
         exclude: test/.*\.py
@@ -32,9 +32,9 @@ repos:
           additional_dependencies: ["bandit[toml]"]
 
   -   repo: https://github.com/astral-sh/ruff-pre-commit
-      rev: v0.12.5
+      rev: v0.13.3
       hooks:
-      -   id: ruff
+      -   id: ruff-check
           args: [--fix, --exit-non-zero-on-fix]
       -   id: ruff-format
           types_or: [ python, pyi, jupyter ]

supervision/annotators/core.py

@@ -764,7 +764,7 @@ def annotate(
         """
         assert isinstance(scene, np.ndarray)
         for detection_idx in range(len(detections)):
-            x1, y1, x2, y2 = detections.xyxy[detection_idx].astype(int)
+            x1, _y1, x2, y2 = detections.xyxy[detection_idx].astype(int)
             color = resolve_color(
                 color=self.color,
                 detections=detections,
@@ -1621,7 +1621,7 @@ def _draw_labels(
                 )
 
                 # Move to the next line position
-                left, top, right, bottom = draw.textbbox((0, 0), line, font=self.font)
+                _left, top, _right, bottom = draw.textbbox((0, 0), line, font=self.font)
                 line_height = bottom - top
                 y_position += line_height + self.text_padding
 
@@ -1917,7 +1917,7 @@ def annotate(
 
             if len(xy) > 3 and self.smooth:
                 x, y = xy[:, 0], xy[:, 1]
-                tck, u = splprep([x, y], s=20)
+                tck, _u = splprep([x, y], s=20)
                 x_new, y_new = splev(np.linspace(0, 1, 100), tck)
                 spline_points = np.stack([x_new, y_new], axis=1).astype(np.int32)
 

supervision/detection/utils/masks.py

@@ -98,7 +98,7 @@ def calculate_masks_centroids(masks: np.ndarray) -> np.ndarray:
         A 2D NumPy array of shape (num_masks, 2), where each row contains the x and y
             coordinates (in that order) of the centroid of the corresponding mask.
     """
-    num_masks, height, width = masks.shape
+    _num_masks, height, width = masks.shape
     total_pixels = masks.sum(axis=(1, 2))
 
     # offset for 1-based indexing

supervision/tracker/byte_tracker/core.py

@@ -247,7 +247,7 @@ def update_with_tensors(self, tensors: np.ndarray) -> list[STrack]:
             if strack_pool[i].state == TrackState.Tracked
         ]
         dists = matching.iou_distance(r_tracked_stracks, detections_second)
-        matches, u_track, u_detection_second = matching.linear_assignment(
+        matches, u_track, _u_detection_second = matching.linear_assignment(
             dists, thresh=0.5
         )
         for itracked, idet in matches:

supervision/utils/notebook.py

@@ -98,7 +98,7 @@ def plot_images_grid(
             " or reduce the number of images."
         )
 
-    fig, axes = plt.subplots(nrows=nrows, ncols=ncols, figsize=size)
+    _fig, axes = plt.subplots(nrows=nrows, ncols=ncols, figsize=size)
 
     for idx, ax in enumerate(axes.flat):
         if idx < len(images):