PyCharm Code Inspect fixes (#18392)

Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/data/augment.py

@@ -441,7 +441,8 @@ class BaseMixTransform:
         """
         raise NotImplementedError
 
-    def _update_label_text(self, labels):
+    @staticmethod
+    def _update_label_text(labels):
         """
         Updates label text and class IDs for mixed labels in image augmentation.
 
@@ -1259,7 +1260,8 @@ class RandomPerspective:
         labels["resized_shape"] = img.shape[:2]
         return labels
 
-    def box_candidates(self, box1, box2, wh_thr=2, ar_thr=100, area_thr=0.1, eps=1e-16):
+    @staticmethod
+    def box_candidates(box1, box2, wh_thr=2, ar_thr=100, area_thr=0.1, eps=1e-16):
         """
         Compute candidate boxes for further processing based on size and aspect ratio criteria.
 
@@ -1598,7 +1600,8 @@ class LetterBox:
         else:
             return img
 
-    def _update_labels(self, labels, ratio, padw, padh):
+    @staticmethod
+    def _update_labels(labels, ratio, padw, padh):
         """
         Updates labels after applying letterboxing to an image.
 

ultralytics/data/dataset.py

@@ -68,7 +68,7 @@ class YOLODataset(BaseDataset):
         Cache dataset labels, check images and read shapes.
 
         Args:
-            path (Path): Path where to save the cache file. Default is Path('./labels.cache').
+            path (Path): Path where to save the cache file. Default is Path("./labels.cache").
 
         Returns:
             (dict): labels.
@@ -219,7 +219,7 @@ class YOLODataset(BaseDataset):
         segment_resamples = 100 if self.use_obb else 1000
         if len(segments) > 0:
             # make sure segments interpolate correctly if original length is greater than segment_resamples
-            max_len = max([len(s) for s in segments])
+            max_len = max(len(s) for s in segments)
             segment_resamples = (max_len + 1) if segment_resamples < max_len else segment_resamples
             # list[np.array(segment_resamples, 2)] * num_samples
             segments = np.stack(resample_segments(segments, n=segment_resamples), axis=0)

ultralytics/data/scripts/download_weights.sh

@@ -11,8 +11,8 @@
 python - <<EOF
 from ultralytics.utils.downloads import attempt_download_asset
 
-assets = [f'yolov8{size}{suffix}.pt' for size in 'nsmlx' for suffix in ('', '-cls', '-seg', '-pose')]
+assets = [f"yolov8{size}{suffix}.pt" for size in "nsmlx" for suffix in ("", "-cls", "-seg", "-pose")]
 for x in assets:
-    attempt_download_asset(f'weights/{x}')
+    attempt_download_asset(f"weights/{x}")
 
 EOF