#Brew install opencv 2.4.11 windows#

release () print ( 'Camera disabled and all output windows closed.' ) return () def main (): # Create a camera instance.Ĭam1 = Camera () while ( True ): # Display the resulting frames.Ĭam1. frame ) return () def _del_ ( self ): self. COLOR_RGB2GRAY ) return () def saveVideo ( self ): # Write the frame. winName, diffe ) # Put images in the right order. # This line displays the image resulting from calculating the difference betweenĭiffe = self. bitwise_and ( Im1, Im2 ) def captureVideo ( self ): # Read in a new frame. read () def diffImg ( self, tprev, tc, tnex ): # Generate the 'difference' from the 3 captured images. imwrite ( 'stream.jpg', img ) # Save image. read () if s : # frame captures without errors.Ĭv2. frames = open ( 'stream.jpg', 'w+' ) s, img = self. fourcc, fps, ( w, h ), True ) # Frame generation for Browser streaming wiht Flask.ĭef get_frame ( self ): self. VideoWriter_fourcc ( * 'H264' ) # You also can use (*'XVID') COLOR_RGB2GRAY ) # Define the codec and create VideoWriter object WINDOW_AUTOSIZE ) # Read three images first. Resolution = ( w, h ) # Frame size/resolution. Import cv2 import time class Camera (): # Constructor.ĭef _init_ ( self ): self. waitKey ( 1 ) & 0xFF = ord ( 'q' ): break # When everything is done, release the capture rectangle ( frame, ( x, y ), ( x + w, y + h ), ( 0, 255, 0 ), 2 ) # Display the resulting frameĬv2. CASCADE_SCALE_IMAGE ) # Draw a rectangle around the facesįor ( x, y, w, h ) in faces : cv2. detectMultiScale ( gray, scaleFactor = 1.1, minNeighbors = 5, minSize = ( 30, 30 ), flags = cv2. VideoCapture ( 0 ) while True : # Capture frame-by-frame CascadeClassifier ( cascPath ) video_capture = cv2. Haarcascade_licence_plate_rus_16stages.xml waitKey ( 1 ) & 0xFF = ord ( 'q' ): break # When everything done, release the captureĬap. COLOR_BGR2GRAY ) # Display the resulting frameĬv2. read () # Our operations on the frame come here VideoCapture ( 0 ) while ( True ): # Capture frame-by-frame