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 15 import its.caps 16 import its.device 17 import its.target 18 19 import numpy as np 20 21 GGAIN_TOL = 0.1 22 FD_TOL = 0.1 23 SENS_TOL = 0.1 24 EXP_TOL = 0.1 25 NUM_TEST_ITERATIONS = 3 26 27 28 def main(): 29 """Basic test for 3A consistency. 30 31 To pass, 3A must converge for exp, gain, awb, fd within TOL. 32 """ 33 34 with its.device.ItsSession() as cam: 35 props = cam.get_camera_properties() 36 its.caps.skip_unless(its.caps.read_3a(props)) 37 mono_camera = its.caps.mono_camera(props) 38 39 exps = [] 40 senses = [] 41 g_gains = [] 42 fds = [] 43 for _ in range(NUM_TEST_ITERATIONS): 44 try: 45 s, e, gains, xform, fd = cam.do_3a(get_results=True, 46 mono_camera=mono_camera) 47 print ' sensitivity', s, 'exposure', e 48 print ' gains', gains, 'transform', xform 49 print ' fd', fd 50 print '' 51 exps.append(e) 52 senses.append(s) 53 g_gains.append(gains[2]) 54 fds.append(fd) 55 except its.error.Error: 56 print ' FAIL\n' 57 assert len(exps) == NUM_TEST_ITERATIONS 58 assert np.isclose(np.amax(exps), np.amin(exps), EXP_TOL) 59 assert np.isclose(np.amax(senses), np.amin(senses), SENS_TOL) 60 assert np.isclose(np.amax(g_gains), np.amin(g_gains), GGAIN_TOL) 61 assert np.isclose(np.amax(fds), np.amin(fds), FD_TOL) 62 for g in gains: 63 assert not np.isnan(g) 64 for x in xform: 65 assert not np.isnan(x) 66 67 if __name__ == '__main__': 68 main() 69 70
