# Use the 'pylab' system for plotting. This is IPython-specific.
%pylab inline

# Under 'normal' Python, you'd import the functions directly from matplotlib and numpy
from matplotlib.pyplot import *
import numpy as np

# Use OpenCV
import cv2

# Set default figure size to be a bit bigger
rcParams['figure.figsize'] = (12,12)

capture = cv2.VideoCapture()

dir(capture)

capture.open(0)

capture.isOpened()

grabbed, frame = capture.read()
print('Frame grabbed: {0}'.format(grabbed))

# The 'shape' of the frame is a 3-tuple giving the number of rows, columns and colour components
frame.shape

# NB the image returned from the camera has the colour components ordered: Blue, Green and Red, just to be annoying.
frame_grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

imshow(frame_grey, cmap=cm.gray)

import cv

capture.set(cv.CV_CAP_PROP_FRAME_WIDTH, 1280)
capture.set(cv.CV_CAP_PROP_FRAME_HEIGHT, 720)

grabbed, frame = capture.read()
frame_grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
imshow(frame_grey, cmap=cm.gray)
print('Frame grabbed: {0}'.format(grabbed))

imshow(frame)

imshow(frame[:,:,(2,1,0)])