73 lines
1.9 KiB
Python
73 lines
1.9 KiB
Python
from imutils.video import VideoStream
|
|
import argparse
|
|
import datetime
|
|
import imutils
|
|
import time
|
|
import cv2
|
|
import os
|
|
|
|
import traceback
|
|
import _thread
|
|
|
|
|
|
|
|
def compare():
|
|
try:
|
|
url = os.path.join(os.path.dirname(__file__), "./generate test footage/out.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()
|