1# Copyright 2017 The Android Open Source Project
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#      http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14
15import its.caps
16import its.device
17import its.target
18
19import numpy as np
20
21GGAIN_TOL = 0.1
22FD_TOL = 0.1
23ISO_EXP_TOL = 0.1
24NUM_TEST_ITERATIONS = 3
25
26
27def main():
28    """Basic test for 3A consistency.
29
30    To pass, 3A must converge for exp, gain, awb, fd within TOL.
31    """
32
33    with its.device.ItsSession() as cam:
34        props = cam.get_camera_properties()
35        its.caps.skip_unless(its.caps.read_3a(props))
36        mono_camera = its.caps.mono_camera(props)
37
38        iso_exps = []
39        g_gains = []
40        fds = []
41        for _ in range(NUM_TEST_ITERATIONS):
42            try:
43                s, e, gains, xform, fd = cam.do_3a(get_results=True,
44                                                   mono_camera=mono_camera)
45                print ' iso: %d, exposure: %d, iso*exp: %d' % (s, e, e*s)
46                print ' awb_gains', gains, 'awb_transform', xform
47                print ' fd', fd
48                print ''
49                iso_exps.append(e*s)
50                g_gains.append(gains[2])
51                fds.append(fd)
52            except its.error.Error:
53                print ' FAIL\n'
54        assert len(iso_exps) == NUM_TEST_ITERATIONS
55        assert np.isclose(np.amax(iso_exps), np.amin(iso_exps), ISO_EXP_TOL)
56        assert np.isclose(np.amax(g_gains), np.amin(g_gains), GGAIN_TOL)
57        assert np.isclose(np.amax(fds), np.amin(fds), FD_TOL)
58        for g in gains:
59            assert not np.isnan(g)
60        for x in xform:
61            assert not np.isnan(x)
62
63if __name__ == '__main__':
64    main()
65
66