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motion_detector.py

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+from imutils.video import VideoStream
+import argparse
+import datetime
+import imutils
+import time
+import cv2
+
+
+import traceback
+import _thread
+
+
+
+def compare():
+    try:
+        url = "1.mp4"
+
+        min_area = 100
+        max_area = 30000
+
+        threashold = 10
+
+        # initialize the first frame in the video stream
+        vs = cv2.VideoCapture(url)
+
+        res = vs.read()[0]
+        firstFrame = None
+        # loop over the frames of the video
+        while res:
+
+            res, frame = vs.read()
+
+            # resize the frame, convert it to grayscale, and blur it
+            frame = imutils.resize(frame, width=500)
+            cv2.imshow( "frame", frame )  
+            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+            gray = cv2.GaussianBlur(gray, (31, 31), 0)
+
+            # if the first frame is None, initialize it
+            if firstFrame is None:
+                firstFrame = gray
+                continue
+
+            frameDelta = cv2.absdiff(gray, firstFrame)
+
+            thresh = cv2.threshold(frameDelta, threashold, 255, cv2.THRESH_BINARY)[1]
+
+
+            # dilate the thresholded image to fill in holes, then find contours
+            thresh = cv2.dilate(thresh, None, iterations=3)
+            cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+            cnts = imutils.grab_contours(cnts)
+
+            # loop over the contours
+            for c in cnts:
+                if cv2.contourArea(c) < min_area or cv2.contourArea(c) > max_area:
+                    continue
+
+                (x, y, w, h) = cv2.boundingRect(c)
+                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+                text = "Occupied"
+
+
+            cv2.imshow( "annotated", frame )  
+            print("1")
+
+            cv2.waitKey(10) & 0XFF
+
+    except Exception as e: 
+        traceback.print_exc()
+        
+compare()