A quick demo of using PiRGBAnalysis for (semi) rapid analysis of RGB data

rgb_colors.py

from __future__ import division

import picamera
import picamera.array
import numpy as np

class MyAnalysis(picamera.array.PiRGBAnalysis):
    def __init__(self, camera):
        super(MyAnalysis, self).__init__(camera)
        self.frame_num = 0

    def analyse(self, a):
        r = int(np.mean(a[..., 0]))
        g = int(np.mean(a[..., 1]))
        b = int(np.mean(a[..., 2]))
        c = (r << 16) | (g << 8) | b
        print('Average color: #%06x' % c)
        self.frame_num += 1

with picamera.PiCamera() as camera:
    camera.resolution = (320, 240)
    camera.framerate = 30
    output = MyAnalysis(camera)
    camera.start_recording(output, 'rgb')
    camera.wait_recording(10)
    camera.stop_recording()
    print('FPS: %.2f' % (output.frame_num / 10))