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.caps 17 import its.device 18 import its.objects 19 import pylab 20 import os.path 21 import matplotlib 22 import matplotlib.pyplot 23 24 def main(): 25 """Test that the device will produce full black+white images. 26 """ 27 NAME = os.path.basename(__file__).split(".")[0] 28 29 r_means = [] 30 g_means = [] 31 b_means = [] 32 33 with its.device.ItsSession() as cam: 34 props = cam.get_camera_properties() 35 its.caps.skip_unless(its.caps.manual_sensor(props) and 36 its.caps.per_frame_control(props)) 37 38 expt_range = props['android.sensor.info.exposureTimeRange'] 39 sens_range = props['android.sensor.info.sensitivityRange'] 40 41 # Take a shot with very low ISO and exposure time. Expect it to 42 # be black. 43 print "Black shot: sens = %d, exp time = %.4fms" % ( 44 sens_range[0], expt_range[0]/1000000.0) 45 req = its.objects.manual_capture_request(sens_range[0], expt_range[0]) 46 cap = cam.do_capture(req) 47 img = its.image.convert_capture_to_rgb_image(cap) 48 its.image.write_image(img, "%s_black.jpg" % (NAME)) 49 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 50 black_means = its.image.compute_image_means(tile) 51 r_means.append(black_means[0]) 52 g_means.append(black_means[1]) 53 b_means.append(black_means[2]) 54 print "Dark pixel means:", black_means 55 56 # Take a shot with very high ISO and exposure time. Expect it to 57 # be white. 58 print "White shot: sens = %d, exp time = %.2fms" % ( 59 sens_range[1], expt_range[1]/1000000.0) 60 req = its.objects.manual_capture_request(sens_range[1], expt_range[1]) 61 cap = cam.do_capture(req) 62 img = its.image.convert_capture_to_rgb_image(cap) 63 its.image.write_image(img, "%s_white.jpg" % (NAME)) 64 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 65 white_means = its.image.compute_image_means(tile) 66 r_means.append(white_means[0]) 67 g_means.append(white_means[1]) 68 b_means.append(white_means[2]) 69 print "Bright pixel means:", white_means 70 71 # Draw a plot. 72 pylab.plot([0,1], r_means, 'r') 73 pylab.plot([0,1], g_means, 'g') 74 pylab.plot([0,1], b_means, 'b') 75 pylab.ylim([0,1]) 76 matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME)) 77 78 for val in black_means: 79 assert(val < 0.025) 80 for val in white_means: 81 assert(val > 0.975) 82 83 if __name__ == '__main__': 84 main() 85 86
