From 7f8d091f50ce215b3f1bf55ef2a9208a2b14cb79 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 22 Aug 2023 14:36:05 +0000
Subject: [PATCH] =?UTF-8?q?fix(pre=5Fcommit):=20=F0=9F=8E=A8=20auto=20form?=
 =?UTF-8?q?at=20pre-commit=20hooks?=
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---
 supervision/dataset/core.py         | 17 +++++++----------
 supervision/dataset/formats/coco.py |  2 +-
 2 files changed, 8 insertions(+), 11 deletions(-)

diff --git a/supervision/dataset/core.py b/supervision/dataset/core.py
index 00c590b8..eeff8501 100644
--- a/supervision/dataset/core.py
+++ b/supervision/dataset/core.py
@@ -182,8 +182,7 @@ class DetectionDataset(BaseDataset):
         """
         if images_directory_path:
             save_dataset_images(
-                images_directory_path=images_directory_path,
-                images=self.images
+                images_directory_path=images_directory_path, images=self.images
             )
         if annotations_directory_path:
             Path(annotations_directory_path).mkdir(parents=True, exist_ok=True)
@@ -193,7 +192,9 @@ class DetectionDataset(BaseDataset):
 
             if annotations_directory_path:
                 annotation_name = Path(image_path).stem
-                annotations_path = os.path.join(annotations_directory_path, f"{annotation_name}.xml")
+                annotations_path = os.path.join(
+                    annotations_directory_path, f"{annotation_name}.xml"
+                )
                 image_name = Path(image_path).name
                 pascal_voc_xml = detections_to_pascal_voc(
                     detections=detections,
@@ -356,8 +357,7 @@ class DetectionDataset(BaseDataset):
         """
         if images_directory_path is not None:
             save_dataset_images(
-                images_directory_path=images_directory_path,
-                images=self.images
+                images_directory_path=images_directory_path, images=self.images
             )
         if annotations_directory_path is not None:
             save_yolo_annotations(
@@ -454,8 +454,7 @@ class DetectionDataset(BaseDataset):
         """
         if images_directory_path is not None:
             save_dataset_images(
-                images_directory_path=images_directory_path,
-                images=self.images
+                images_directory_path=images_directory_path, images=self.images
             )
         if annotations_path is not None:
             save_coco_annotations(
@@ -626,9 +625,7 @@ class ClassificationDataset(BaseDataset):
                 else classification.get_top_k(1)[0][0]
             )
             class_name = self.classes[class_id]
-            image_path = os.path.join(
-                root_directory_path, class_name, image_name
-            )
+            image_path = os.path.join(root_directory_path, class_name, image_name)
             cv2.imwrite(image_path, image)
 
     @classmethod
diff --git a/supervision/dataset/formats/coco.py b/supervision/dataset/formats/coco.py
index 66246395..76178c53 100644
--- a/supervision/dataset/formats/coco.py
+++ b/supervision/dataset/formats/coco.py
@@ -157,7 +157,7 @@ def load_coco_annotations(
             coco_image["height"],
         )
         image_annotations = coco_annotations_groups.get(coco_image["id"], [])
-        image_path = str(os.path.join(images_directory_path, image_name))
+        image_path = os.path.join(images_directory_path, image_name)
 
         image = cv2.imread(image_path)
         annotation = coco_annotations_to_detections(