| # 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 os.path |
| import its.caps |
| import its.device |
| import its.image |
| import its.objects |
| import matplotlib |
| from matplotlib import pylab |
| import numpy |
| |
| LOCKED = 3 |
| MAX_LUMA_DELTA_THRESH = 0.05 |
| NAME = os.path.basename(__file__).split('.')[0] |
| THRESH_CONVERGE_FOR_EV = 8 # AE must converge in this num auto reqs for EV |
| |
| |
| def main(): |
| """Tests that EV compensation is applied.""" |
| |
| with its.device.ItsSession() as cam: |
| props = cam.get_camera_properties() |
| its.caps.skip_unless(its.caps.manual_sensor(props) and |
| its.caps.manual_post_proc(props) and |
| its.caps.per_frame_control(props) and |
| its.caps.ev_compensation(props)) |
| |
| mono_camera = its.caps.mono_camera(props) |
| debug = its.caps.debug_mode() |
| largest_yuv = its.objects.get_largest_yuv_format(props) |
| if debug: |
| fmt = largest_yuv |
| else: |
| match_ar = (largest_yuv['width'], largest_yuv['height']) |
| fmt = its.objects.get_smallest_yuv_format(props, match_ar=match_ar) |
| |
| ev_compensation_range = props['android.control.aeCompensationRange'] |
| range_min = ev_compensation_range[0] |
| range_max = ev_compensation_range[1] |
| ev_per_step = its.objects.rational_to_float( |
| props['android.control.aeCompensationStep']) |
| steps_per_ev = int(round(1.0 / ev_per_step)) |
| ev_steps = range(range_min, range_max + 1, steps_per_ev) |
| imid = len(ev_steps) / 2 |
| ev_shifts = [pow(2, step * ev_per_step) for step in ev_steps] |
| 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, mono_camera=mono_camera) |
| |
| for ev in ev_steps: |
| |
| # 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 |
| # Use linear tone curve to avoid brightness being impacted |
| # by tone curves. |
| req['android.tonemap.mode'] = 0 |
| req['android.tonemap.curve'] = { |
| 'red': [0.0, 0.0, 1.0, 1.0], |
| 'green': [0.0, 0.0, 1.0, 1.0], |
| 'blue': [0.0, 0.0, 1.0, 1.0]} |
| caps = cam.do_capture([req]*THRESH_CONVERGE_FOR_EV, fmt) |
| |
| 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 |
| |
| print 'ev_step_size_in_stops', ev_per_step |
| shift_mid = ev_shifts[imid] |
| luma_normal = lumas[imid] / shift_mid |
| expected_lumas = [min(1.0, luma_normal*ev_shift) for ev_shift in ev_shifts] |
| |
| pylab.plot(ev_steps, lumas, '-ro') |
| pylab.plot(ev_steps, expected_lumas, '-bo') |
| pylab.title(NAME) |
| pylab.xlabel('EV Compensation') |
| pylab.ylabel('Mean Luma (Normalized)') |
| |
| matplotlib.pyplot.savefig('%s_plot_means.png' % (NAME)) |
| |
| luma_diffs = [expected_lumas[i]-lumas[i] for i in range(len(ev_steps))] |
| max_diff = max(abs(i) for i in luma_diffs) |
| avg_diff = abs(numpy.array(luma_diffs)).mean() |
| print 'Max delta between modeled and measured lumas:', max_diff |
| print 'Avg delta between modeled and measured lumas:', avg_diff |
| assert max_diff < MAX_LUMA_DELTA_THRESH, 'diff: %.3f, THRESH: %.2f' % ( |
| max_diff, MAX_LUMA_DELTA_THRESH) |
| |
| |
| if __name__ == '__main__': |
| main() |