remove unused import

Author: shivamkb17

computer_vision/motion_detection.py

@@ -1,5 +1,4 @@
 import cv2
-import numpy as np
 
 """
 Basic Motion Detection using frame differencing and background subtraction (MOG2).
@@ -32,9 +31,7 @@ def create_background_subtractor() -> cv2.BackgroundSubtractor:
     True
     """
     # history=500, varThreshold=16 are common defaults; detectShadows adds robustness
-    return cv2.createBackgroundSubtractorMOG2(
-        history=500, varThreshold=16, detectShadows=True
-    )
+    return cv2.createBackgroundSubtractorMOG2(history=500, varThreshold=16, detectShadows=True)
 
 
 def preprocess_frame(frame: cv2.Mat) -> cv2.Mat:
@@ -75,9 +72,7 @@ def frame_difference(prev_gray: cv2.Mat, curr_gray: cv2.Mat) -> cv2.Mat:
     return closed
 
 
-def background_subtraction_mask(
-    subtractor: cv2.BackgroundSubtractor, frame: cv2.Mat
-) -> cv2.Mat:
+def background_subtraction_mask(subtractor: cv2.BackgroundSubtractor, frame: cv2.Mat) -> cv2.Mat:
     """
     Apply background subtraction to obtain a motion mask. Includes morphology.
 
@@ -111,9 +106,7 @@ def annotate_motion(frame: cv2.Mat, motion_mask: cv2.Mat) -> cv2.Mat:
     >>> np.any(annotated[..., 1] == 255)  # green channel from rectangle
     True
     """
-    contours, _ = cv2.findContours(
-        motion_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
-    )
+    contours, _ = cv2.findContours(motion_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
     annotated = frame.copy()
     for contour in contours:
         if cv2.contourArea(contour) < MIN_CONTOUR_AREA:
@@ -188,3 +181,5 @@ def main() -> None:
 if __name__ == "__main__":
     main()
     print("DONE ✅")
+
+