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- from imutils.video import VideoStream
- import numpy as np
- import argparse
- import datetime
- import imutils
- import time
- import cv2
- import os
- # construct the argument parser and parse the arguments
- ap = argparse.ArgumentParser()
- ap.add_argument("-v", "--video", help="path to the video file")
- ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size")
- args = vars(ap.parse_args())
- # Initialize VideoStream
- vs = VideoStream(usePiCamera=True, resolution=(640, 480), framerate=30).start()
- time.sleep(2.0)
- writer = None
- # initialize the first frame in the video stream
- firstFrame = None
- # loop over the frames of the video
- while True:
- isMotion = False
- # grab the current frame and initialize the occupied/unoccupied
- # text
- frame = vs.read()
- frame = frame if args.get("video", None) is None else frame[1]
- text = "Monitoring..."
- # if the frame could not be grabbed, then we have reached the end
- # of the video
- if frame is None:
- break
- # resize the frame, convert it to grayscale, and blur it
- frame = imutils.resize(frame, width=500)
- gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
- gray = cv2.GaussianBlur(gray, (21, 21), 0)
- # if the first frame is None, initialize it
- if firstFrame is None:
- firstFrame = gray
- continue
- # compute the absolute difference between the current frame and
- # first frame
- frameDelta = cv2.absdiff(firstFrame, gray)
- thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1]
- # dilate the thresholded image to fill in holes, then find contours
- # on thresholded image
- thresh = cv2.dilate(thresh, None, iterations=2)
- cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
- cnts = cnts[0] if imutils.is_cv2() else cnts[1]
- # loop over the contours
- for c in cnts:
- # if the contour is too small, ignore it
- if cv2.contourArea(c) < args["min_area"]:
- continue
- # compute the bounding box for the contour, draw it on the frame,
- # and update the text
- (x, y, w, h) = cv2.boundingRect(c)
- cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
- text = "Motion detected."
- isMotion = True
- # draw the text and timestamp on the frame
- cv2.putText(frame, "Room Status: {}".format(text), (10, 20),
- cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
- cv2.putText(frame, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"),
- (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 255), 1)
- if isMotion:
- if writer is None:
- # initialize our video writer
- fileName = datetime.datetime.now().strftime("%Y-%d-%m_%I-%M-%S-%p.avi")
- print(fileName)
- fourcc = cv2.VideoWriter_fourcc(*"MPEG")
- writer = cv2.VideoWriter(fileName, fourcc, 30, (frame.shape[1], frame.shape[0]), True)
- # write the output frame to disk
- writer.write(frame)
- else:
- if not (writer is None):
- writer.release()
- writer = None
- print("Video Ended")
- # show the frame and record if the user presses a key
- cv2.imshow("Security Feed", frame)
- key = cv2.waitKey(1) & 0xFF
- # if the `q` key is pressed, break from the lop
- if key == ord("q"):
- break
- # cleanup the camera and close any open windows
- vs.stop() if args.get("video", None) is None else vs.release()
- cv2.destroyAllWindows()
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