def __init__(self):
# If video source is USB device for testing, we will use the vs and cap variables below.
#self.vs = WebcamVideoStream(src=0).start() # so we want to read video in as a stream now so we can
self.capture = cv2.VideoCapture(0)
# CHANGE MILES
# 0 for drone,
# 1 for webcam in the case of Miles computer
# If video source is drone, we will use the code below.
self.fourcc = cv2.cv.CV_FOURCC(*'XVID')
self.out = cv2.VideoWriter('output.mov', self.fourcc, 20.0, (640, 480))
# So we want to open application for video driver first, and then run file.
# Currently the webcam video stream class does not work for video capture, therefore we
# need to stick to cv2.VideoCapture() until WebcamVideoStream can be optimized for working.
# Instantiate objects
self.filters = Filters() # Filters for filtering the file.
self.motionDetection = MotionDetection(
) # MotionDetection for grabbing motion.
self.cascadeDetection = Cascading(
) # Cascading for feature recognition.
self.blurDetection = DetectBlur(
150) # 100 would be the value to be used for fine tuning.
self.destroyWindows = WindowDestruction()
time.sleep(0.25) # Allow camera a few miliseconds for booting up.
self.firstFrame = None # First frame is a variable to be used for motion tracking, firstFrame is the frame being compared for motion change.
# Initiate toggles.
self.motionTime = False
self.cascadeTime = False
self.blurDetectionTime = False
# Initialize external variables.
self.numFrames = 0
self.ts = time.time()
# import the necessary packages
import datetime
import time
import cv2
from WindowDestruction import WindowDestruction
from WebcamVideoStream import WebcamVideoStream
import numpy as np
from MotionDetection import MotionDetection
from Cascading import Cascading
motion = MotionDetection()
destroyWindows = WindowDestruction()
cascades = Cascading()
# camera = cv2.VideoCapture(0)
camera = WebcamVideoStream(src=0).start()
time.sleep(0.25)
# initialize the first frame in the video stream
# WE WILL WANT TO UPDATE THIS VARIABLE TO OFTEN CHANGE THE FIRST FRAME
# BASED ON MOVEMENT OF MOTION...WILL BE TRICKY.
cascadeTime = False
# loop over the frames of the video
while True:
# grab the current frame and initialize the occupied/unoccupied
# text
frame = camera.read()
#saveFrame = frame # For storing a copy for encoding later on.
frame = cv2.resize(frame, (500, 500))
#(grabbed, frame) = camera.read()
