shit

scripts/motion_detection.py

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+#!/usr/bin/env python3
+
+import sys
+import cv2
+import numpy as np
+
+def detect_motion(image_path):
+    # Read the input image
+    frame = cv2.imread(image_path)
+    if frame is None:
+        print("Error: Could not read image file")
+        sys.exit(1)
+
+    # Convert to grayscale
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    
+    # Apply Gaussian blur to reduce noise
+    blur = cv2.GaussianBlur(gray, (21, 21), 0)
+    
+    # Threshold the image to detect significant changes
+    _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
+    
+    # Find contours in the thresholded image
+    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+    
+    # Filter contours based on area to remove noise
+    min_area = 500
+    motion_detected = False
+    
+    for contour in contours:
+        if cv2.contourArea(contour) > min_area:
+            motion_detected = True
+            # Draw rectangle around motion area
+            (x, y, w, h) = cv2.boundingRect(contour)
+            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+    
+    # Save the output image with motion detection boxes
+    output_path = image_path.replace('.jpg', '_motion.jpg')
+    cv2.imwrite(output_path, frame)
+    
+    # Return result
+    if motion_detected:
+        print("Motion detected!")
+        print(f"Output saved to: {output_path}")
+    else:
+        print("No motion detected")
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        print("Usage: python motion_detection.py <image_path>")
+        sys.exit(1)
+    
+    detect_motion(sys.argv[1])