1 # Copyright 2013 The Android Open Source Project 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); 4 # you may not use this file except in compliance with the License. 5 # You may obtain a copy of the License at 6 # 7 # http://www.apache.org/licenses/LICENSE-2.0 8 # 9 # Unless required by applicable law or agreed to in writing, software 10 # distributed under the License is distributed on an "AS IS" BASIS, 11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 14 15 import its.image 16 import its.device 17 import its.objects 18 import sys 19 import numpy 20 import Image 21 import pprint 22 import math 23 import pylab 24 import os.path 25 import matplotlib 26 import matplotlib.pyplot 27 28 def main(): 29 """Test that the device will produce full black+white images. 30 """ 31 NAME = os.path.basename(__file__).split(".")[0] 32 33 r_means = [] 34 g_means = [] 35 b_means = [] 36 37 with its.device.ItsSession() as cam: 38 # Take a shot with very low ISO and exposure time. Expect it to 39 # be black. 40 req = its.objects.manual_capture_request(100, 0.1) 41 fname, w, h, cap_md = cam.do_capture(req) 42 img = its.image.load_yuv420_to_rgb_image(fname, w, h) 43 its.image.write_image(img, "%s_black.jpg" % (NAME)) 44 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 45 black_means = its.image.compute_image_means(tile) 46 r_means.append(black_means[0]) 47 g_means.append(black_means[1]) 48 b_means.append(black_means[2]) 49 print "Dark pixel means:", black_means 50 51 # Take a shot with very high ISO and exposure time. Expect it to 52 # be black. 53 req = its.objects.manual_capture_request(10000, 1000) 54 fname, w, h, cap_md = cam.do_capture(req) 55 img = its.image.load_yuv420_to_rgb_image(fname, w, h) 56 its.image.write_image(img, "%s_white.jpg" % (NAME)) 57 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 58 white_means = its.image.compute_image_means(tile) 59 r_means.append(white_means[0]) 60 g_means.append(white_means[1]) 61 b_means.append(white_means[2]) 62 print "Bright pixel means:", white_means 63 64 # Draw a plot. 65 pylab.plot([0,1], r_means, 'r') 66 pylab.plot([0,1], g_means, 'g') 67 pylab.plot([0,1], b_means, 'b') 68 pylab.ylim([0,1]) 69 matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME)) 70 71 for val in black_means: 72 assert(val < 0.025) 73 for val in white_means: 74 assert(val > 0.975) 75 76 if __name__ == '__main__': 77 main() 78 79
