forked from XPUB/si_7-IRIS
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
6 years ago
|
#!/usr/bin/env python
|
||
|
|
# coding=utf-8
|
||
|
|
# USAGE
|
||
|
|
# python motion_detector.py
|
||
|
|
# python motion_detector.py --video videos/example_01.mp4
|
||
|
|
|
||
|
|
# import the necessary packages
|
||
|
|
import imutils
|
||
|
|
from imutils.video import VideoStream
|
||
|
|
import argparse
|
||
|
|
import datetime
|
||
|
|
import time, sys
|
||
|
|
from time import sleep
|
||
|
|
import cv2
|
||
|
|
|
||
|
|
# construct the argument parser and parse the arguments
|
||
|
|
ap = argparse.ArgumentParser()
|
||
|
|
ap.add_argument("-a", "--min-area", type=int, default=6000, help="minimum area size")
|
||
|
|
args = vars(ap.parse_args())
|
||
|
|
|
||
|
|
# if the video argument is None, then we are reading from webcam
|
||
|
|
vs = VideoStream(usePiCamera=True).start()
|
||
|
|
sleep(2.0)
|
||
|
|
|
||
|
|
# initialize the first frame in the video stream
|
||
|
|
firstFrame = None
|
||
|
|
occupied = False
|
||
|
|
# loop over the frames of the video
|
||
|
|
while True:
|
||
|
|
# 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 = "Unoccupied"
|
||
|
|
# 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 = "Occupied"
|
||
|
|
if not occupied:
|
||
|
|
occupied = True
|
||
|
|
print ('occupied')
|
||
|
|
sys.exit()
|
||
|
|
|
||
|
|
if occupied and text == "Unoccupied":
|
||
|
|
occupied = False
|
||
|
|
print ("Unoccupied")
|
||
|
|
|
||
|
|
# # show the frame and record if the user presses a key
|
||
|
|
# # cv2.imshow("Security Feed", frame)
|
||
|
|
# cv2.imwrite('security.jpg', frame)
|
||
|
|
# #cv2.imshow("Thresh", thresh)
|
||
|
|
# cv2.imwrite('threshold.jpg', thresh)
|
||
|
|
# #cv2.imshow("Frame Delta", frameDelta)
|
||
|
|
# cv2.imwrite('blured.jpg', frameDelta)
|
||
|
|
# #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()
|