# grab the frame from the threaded video stream and resize it # to have a maximum width of 400 pixels frame = vs.read() lastUploaded = datetime.datetime.now() #saveFrame = frame # For storing a copy for encoding later on. frame = cv2.resize(frame, (500, 500)) counter = 0 # At 400 width we get a real nice frames per second, increasing # the value will result in less frames being read per second. #instance = vs.getGrabbed() #cascades.faceCascadeDetectionOfImage(instance) timestamp = 0 # So now we store the grayFrame seperately aside from our regular colored # frame so we can perform processing on the grayframe since many open cv # operations are dependent upon a grayscaled image. grayFrame = filters.grayScaleImage(frame) # May need to take this line out. #grayFrame = cv2.GaussianBlur(grayFrame, (21, 21), 0) # We should add a guassian blur here to reduce noise. #grayFrame = filters.gaussianBlurApplying(frame) # We grayscaled it so we can apply the laplacian variance on the grayscaled # frame. fm = blurDetection.variance_of_laplacian(grayFrame) text = "Not Blurry" # if the focus measure is less than the supplied threshold, # then the image should be considered "blurry" if fm < blurDetection.getBlurThresh():
motion = MotionDetection()
destroyWindows = WindowDestruction()
firstFrame = None
while True:
# grab the frame from the threaded video stream and resize it
# to have a maximum width of 400 pixels
frame = vs.read()
#saveFrame = frame # For storing a copy for encoding later on.
#frame = cv2.resize(frame, (500, 500))
# If the WebcamVideoStream object has a frame grabbed, lets perform operations.
if (vs.grabbed):
gray = filters.grayScaleImage(frame)
gray = filters.gausBlurSpecified(gray, 21, 21)
# originally our dimensions for gaussian blur is 21 by 21
# if the first frame is None, initialize it
'''if (cv2.waitKey(20) & 0xFF == ord('r')): # If r is pressed we want to refresh frame to
firstFrame = gray
continue
else:
firstFrame = gray
continue'''
if firstFrame is None:
firstFrame = gray
continue
# compute the absolute difference between the current frame and
