apps/CameraITS/tests/scene1/test_param_shading_mode.py

# Copyright 2015 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 os

import its.caps
import its.device
import its.image
import its.objects

import matplotlib
from matplotlib import pylab
import numpy

NAME = os.path.basename(__file__).split('.')[0]
NUM_SHADING_MODE_SWITCH_LOOPS = 3
THRESHOLD_DIFF_RATIO = 0.15


def main():
    """Test that the android.shading.mode param is applied.

    Switching shading modes and checks that the lens shading maps are
    modified as expected.
    """

    with its.device.ItsSession() as cam:
        props = cam.get_camera_properties()

        its.caps.skip_unless(its.caps.per_frame_control(props) and
                             its.caps.lsc_map(props) and
                             its.caps.lsc_off(props))

        mono_camera = its.caps.mono_camera(props)

        # lsc_off devices should always support OFF(0), FAST(1), and HQ(2)
        assert(props.has_key('android.shading.availableModes') and
               set(props['android.shading.availableModes']) == set([0, 1, 2]))

        # Test 1: Switching shading modes several times and verify:
        #   1. Lens shading maps with mode OFF are all 1.0
        #   2. Lens shading maps with mode FAST are similar after switching
        #      shading modes.
        #   3. Lens shading maps with mode HIGH_QUALITY are similar after
        #      switching shading modes.
        cam.do_3a(mono_camera=mono_camera)

        # Get the reference lens shading maps for OFF, FAST, and HIGH_QUALITY
        # in different sessions.
        # reference_maps[mode]
        reference_maps = [[] for mode in range(3)]
        num_map_gains = 0
        for mode in range(1, 3):
            req = its.objects.auto_capture_request()
            req['android.statistics.lensShadingMapMode'] = 1
            req['android.shading.mode'] = mode
            cap_res = cam.do_capture(req)['metadata']
            lsc_map = cap_res['android.statistics.lensShadingCorrectionMap']
            assert(lsc_map.has_key('width') and
                   lsc_map.has_key('height') and
                   lsc_map['width'] is not None and
                   lsc_map['height'] is not None)
            if mode == 1:
                num_map_gains = lsc_map['width'] * lsc_map['height'] * 4
                reference_maps[0] = [1.0] * num_map_gains
            reference_maps[mode] = lsc_map['map']

        # Get the lens shading maps while switching modes in one session.
        reqs = []
        for i in range(NUM_SHADING_MODE_SWITCH_LOOPS):
            for mode in range(3):
                req = its.objects.auto_capture_request()
                req['android.statistics.lensShadingMapMode'] = 1
                req['android.shading.mode'] = mode
                reqs.append(req)

        caps = cam.do_capture(reqs)

        # shading_maps[mode][loop]
        shading_maps = [[[] for loop in range(NUM_SHADING_MODE_SWITCH_LOOPS)]
                        for mode in range(3)]

        # Get the shading maps out of capture results
        for i in range(len(caps)):
            shading_maps[i % 3][i / 3] = \
                    caps[i]['metadata']['android.statistics.lensShadingCorrectionMap']['map']

        # Draw the maps
        for mode in range(3):
            for i in range(NUM_SHADING_MODE_SWITCH_LOOPS):
                pylab.clf()
                pylab.plot(range(num_map_gains), shading_maps[mode][i], '-ro')
                pylab.plot(range(num_map_gains), reference_maps[mode], '-go')
                pylab.xlim([0, num_map_gains])
                pylab.ylim([0.9, 4.0])
                name = '%s_ls_maps_mode_%d_loop_%d' % (NAME, mode, i)
                pylab.title(name)
                pylab.xlabel('Map gains')
                pylab.ylabel('Lens shading maps')
                matplotlib.pyplot.savefig('%s.png' % name)

        print 'Verifying lens shading maps with mode OFF are all 1.0'
        for i in range(NUM_SHADING_MODE_SWITCH_LOOPS):
            assert numpy.allclose(shading_maps[0][i], reference_maps[0])

        for mode in range(1, 3):
            print 'Verifying lens shading maps with mode', mode, 'are similar'
            for i in range(NUM_SHADING_MODE_SWITCH_LOOPS):
                assert(numpy.allclose(shading_maps[mode][i],
                                      reference_maps[mode],
                                      THRESHOLD_DIFF_RATIO))

if __name__ == '__main__':
    main()