[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

computer_vision/image_annotate.py

@@ -4,36 +4,36 @@
 import numpy as np
 import cv2
 
-def image_annotate(image:str) -> Image.Image:
-  # load the input image
-  image = cv2.imread(image)
 
-  # load pre-trained vision model
-  model = YOLO("yolo12s.pt")
+def image_annotate(image: str) -> Image.Image:
+    # load the input image
+    image = cv2.imread(image)
 
-  # run object detection on the image
-  result = model(image)[0]
+    # load pre-trained vision model
+    model = YOLO("yolo12s.pt")
 
-  # convert YOLO output to a Supervision-compatible detections format
-  detections = sv.Detections.from_ultralytics(result)
+    # run object detection on the image
+    result = model(image)[0]
 
-  # initialize a box annotator for drawing detection bounding boxes
-  box_annotator = sv.BoxAnnotator()
+    # convert YOLO output to a Supervision-compatible detections format
+    detections = sv.Detections.from_ultralytics(result)
 
-  # annotate the image with detected objects
-  annotated_image = box_annotator.annotate(
-    scene=image.copy(),
-    detections=detections)
-  
-  # convert BGR to RGB for correct display
-  annotated_image_rgb = cv2.cvtColor(annotated_image, cv2.COLOR_BGR2RGB)
+    # initialize a box annotator for drawing detection bounding boxes
+    box_annotator = sv.BoxAnnotator()
 
-  # convert the annotated NumPy array (RGB) to a PIL Image object
-  annotated_pil_image = Image.fromarray(annotated_image_rgb)
+    # annotate the image with detected objects
+    annotated_image = box_annotator.annotate(scene=image.copy(), detections=detections)
+
+    # convert BGR to RGB for correct display
+    annotated_image_rgb = cv2.cvtColor(annotated_image, cv2.COLOR_BGR2RGB)
+
+    # convert the annotated NumPy array (RGB) to a PIL Image object
+    annotated_pil_image = Image.fromarray(annotated_image_rgb)
+
+    # return annotated image
+    return annotated_pil_image
 
-  # return annotated image
-  return annotated_pil_image
 
 if __name__ == "__main__":
-  annotate_img = image_annotate("/content/sample_data/Furry.png")
-  annotate_img.show()
+    annotate_img = image_annotate("/content/sample_data/Furry.png")
+    annotate_img.show()