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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.caps
import its.device
import its.objects
import os.path
import pylab
import matplotlib
import matplotlib.pyplot
import numpy
#AE must converge within this number of auto requests for EV
THREASH_CONVERGE_FOR_EV = 8
def main():
"""Tests that EV compensation is applied.
"""
LOCKED = 3
NAME = os.path.basename(__file__).split(".")[0]
with its.device.ItsSession() as cam:
props = cam.get_camera_properties()
its.caps.skip_unless(its.caps.ev_compensation(props) and
its.caps.ae_lock(props))
ev_per_step = its.objects.rational_to_float(
props['android.control.aeCompensationStep'])
steps_per_ev = int(1.0 / ev_per_step)
evs = range(-2 * steps_per_ev, 2 * steps_per_ev + 1, steps_per_ev)
lumas = []
# Converge 3A, and lock AE once converged. skip AF trigger as
# dark/bright scene could make AF convergence fail and this test
# doesn't care the image sharpness.
cam.do_3a(ev_comp=0, lock_ae=True, do_af=False)
for ev in evs:
# Capture a single shot with the same EV comp and locked AE.
req = its.objects.auto_capture_request()
req['android.control.aeExposureCompensation'] = ev
req["android.control.aeLock"] = True
caps = cam.do_capture([req]*THREASH_CONVERGE_FOR_EV)
for cap in caps:
if (cap['metadata']['android.control.aeState'] == LOCKED):
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])
break
assert(cap['metadata']['android.control.aeState'] == LOCKED)
pylab.plot(evs, lumas, 'r')
matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
# trim trailing 1.0s (for saturated image)
while lumas and lumas[-1] == 1.0:
lumas.pop(-1)
# Only allow positive EVs to give saturated image
assert(len(lumas) > 2)
luma_diffs = numpy.diff(lumas)
min_luma_diffs = min(luma_diffs)
print "Min of the luma value difference between adjacent ev comp: ", \
min_luma_diffs
# All luma brightness should be increasing with increasing ev comp.
assert(min_luma_diffs > 0)
if __name__ == '__main__':
main()