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# Copyright 2013 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import its.image
import its.device
import its.objects
import sys
import numpy
import Image
import pprint
import math
import pylab
import os.path
import matplotlib
import matplotlib.pyplot
def main():
"""Test that the device will produce full black+white images.
"""
NAME = os.path.basename(__file__).split(".")[0]
r_means = []
g_means = []
b_means = []
with its.device.ItsSession() as cam:
props = cam.get_camera_properties()
expt_range = props['android.sensor.info.exposureTimeRange']
sens_range = props['android.sensor.info.sensitivityRange']
# Take a shot with very low ISO and exposure time. Expect it to
# be black.
print "Black shot: sens = %d, exp time = %.4fms" % (
sens_range[0], expt_range[0]/1000000.0)
req = its.objects.manual_capture_request(sens_range[0], expt_range[0])
cap = cam.do_capture(req)
img = its.image.convert_capture_to_rgb_image(cap)
its.image.write_image(img, "%s_black.jpg" % (NAME))
tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
black_means = its.image.compute_image_means(tile)
r_means.append(black_means[0])
g_means.append(black_means[1])
b_means.append(black_means[2])
print "Dark pixel means:", black_means
# Take a shot with very high ISO and exposure time. Expect it to
# be white.
print "White shot: sens = %d, exp time = %.2fms" % (
sens_range[1], expt_range[1]/1000000.0)
req = its.objects.manual_capture_request(sens_range[1], expt_range[1])
cap = cam.do_capture(req)
img = its.image.convert_capture_to_rgb_image(cap)
its.image.write_image(img, "%s_white.jpg" % (NAME))
tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
white_means = its.image.compute_image_means(tile)
r_means.append(white_means[0])
g_means.append(white_means[1])
b_means.append(white_means[2])
print "Bright pixel means:", white_means
# Draw a plot.
pylab.plot([0,1], r_means, 'r')
pylab.plot([0,1], g_means, 'g')
pylab.plot([0,1], b_means, 'b')
pylab.ylim([0,1])
matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
for val in black_means:
assert(val < 0.025)
for val in white_means:
assert(val > 0.975)
if __name__ == '__main__':
main()
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