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# Copyright 2014 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 os.path
import pylab
import matplotlib
import matplotlib.pyplot
import numpy
def main():
"""Tests that EV compensation is applied.
"""
NAME = os.path.basename(__file__).split(".")[0]
MAX_LUMA_DELTA_THRESH = 0.01
AVG_LUMA_DELTA_THRESH = 0.001
with its.device.ItsSession() as cam:
props = cam.get_camera_properties()
cam.do_3a()
# Capture auto shots, but with a linear tonemap.
req = its.objects.auto_capture_request()
req["android.tonemap.mode"] = 0
req["android.tonemap.curveRed"] = (0.0, 0.0, 1.0, 1.0)
req["android.tonemap.curveGreen"] = (0.0, 0.0, 1.0, 1.0)
req["android.tonemap.curveBlue"] = (0.0, 0.0, 1.0, 1.0)
evs = range(-4,5)
lumas = []
for ev in evs:
req['android.control.aeExposureCompensation'] = ev
cap = cam.do_capture(req)
y = its.image.convert_capture_to_planes(cap)[0]
tile = its.image.get_image_patch(y, 0.45,0.45,0.1,0.1)
lumas.append(its.image.compute_image_means(tile)[0])
ev_step_size_in_stops = its.objects.rational_to_float(
props['android.control.aeCompensationStep'])
luma_increase_per_step = pow(2, ev_step_size_in_stops)
expected_lumas = [lumas[0] * pow(luma_increase_per_step, i) \
for i in range(len(evs))]
pylab.plot(evs, lumas, 'r')
pylab.plot(evs, expected_lumas, 'b')
matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
luma_diffs = [expected_lumas[i] - lumas[i] for i in range(len(evs))]
max_diff = max(luma_diffs)
avg_diff = sum(luma_diffs) / len(luma_diffs)
print "Max delta between modeled and measured lumas:", max_diff
print "Avg delta between modeled and measured lumas:", avg_diff
assert(max_diff < MAX_LUMA_DELTA_THRESH)
assert(avg_diff < AVG_LUMA_DELTA_THRESH)
if __name__ == '__main__':
main()
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