blob: 13f318fbf87d7941b8779f27874449b38e3729c5 [file] [log] [blame]
# 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]
with its.device.ItsSession() as cam:
props = cam.get_camera_properties()
evs = range(-4,5)
lumas = []
for ev in evs:
# Re-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=ev, lock_ae=True, do_af=False)
# 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
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])
pylab.plot(evs, lumas, 'r')
matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
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()