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1# Copyright 2018 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"""Verifies exposure times on RAW images."""
15
16
17import logging
18import math
19import os.path
20import matplotlib
21from matplotlib import pylab
22from mobly import test_runner
23import numpy as np
24
25import its_base_test
26import camera_properties_utils
27import capture_request_utils
28import image_processing_utils
29import its_session_utils
30
31_BAYER_COLORS = ('R', 'Gr', 'Gb', 'B')
32_BLK_LVL_RTOL = 0.1
33_BURST_LEN = 10  # break captures into burst of BURST_LEN requests
34_EXP_LONG_THRESH = 1E6  # 1ms
35_EXP_MULT_SHORT = pow(2, 1.0/3)  # Test 3 steps per 2x exposure
36_EXP_MULT_LONG = pow(10, 1.0/3)  # Test 3 steps per 10x exposure
37_IMG_DELTA_THRESH = 0.99  # Each shot must be > 0.99*previous
38_IMG_SAT_RTOL = 0.01  # 1%
39_IMG_STATS_GRID = 9  # find used to find the center 11.11%
40_NAME = os.path.splitext(os.path.basename(__file__))[0]
41_NS_TO_MS_FACTOR = 1.0E-6
42_NUM_ISO_STEPS = 5
43
44
45def create_test_exposure_list(e_min, e_max):
46  """Create the list of exposure values to test."""
47  e_list = []
48  mult = 1.0
49  while e_min*mult < e_max:
50    e_list.append(int(e_min*mult))
51    if e_min*mult < _EXP_LONG_THRESH:
52      mult *= _EXP_MULT_SHORT
53    else:
54      mult *= _EXP_MULT_LONG
55  if e_list[-1] < e_max*_IMG_DELTA_THRESH:
56    e_list.append(int(e_max))
57  return e_list
58
59
60def define_raw_stats_fmt(props):
61  """Define format with active array width and height."""
62  aax = props['android.sensor.info.preCorrectionActiveArraySize']['left']
63  aay = props['android.sensor.info.preCorrectionActiveArraySize']['top']
64  aaw = props['android.sensor.info.preCorrectionActiveArraySize']['right']-aax
65  aah = props['android.sensor.info.preCorrectionActiveArraySize']['bottom']-aay
66  return {'format': 'rawStats',
67          'gridWidth': aaw // _IMG_STATS_GRID,
68          'gridHeight': aah // _IMG_STATS_GRID}
69
70
71def create_plot(exps, means, sens, log_path):
72  """Create plots R, Gr, Gb, B vs exposures.
73
74  Args:
75    exps: array of exposure times in ms
76    means: array of means for RAW captures
77    sens: int value for ISO gain
78    log_path: path to write plot file
79  Returns:
80    None
81  """
82  # means[0] is black level value
83  r = [m[0] for m in means[1:]]
84  gr = [m[1] for m in means[1:]]
85  gb = [m[2] for m in means[1:]]
86  b = [m[3] for m in means[1:]]
87  pylab.figure(f'{_NAME}_{sens}')
88  pylab.plot(exps, r, 'r.-', label='R')
89  pylab.plot(exps, gr, 'g.-', label='Gr')
90  pylab.plot(exps, gb, 'k.-', label='Gb')
91  pylab.plot(exps, b, 'b.-', label='B')
92  pylab.xscale('log')
93  pylab.yscale('log')
94  pylab.title(f'{_NAME} ISO={sens}')
95  pylab.xlabel('Exposure time (ms)')
96  pylab.ylabel('Center patch pixel mean')
97  pylab.legend(loc='lower right', numpoints=1, fancybox=True)
98  matplotlib.pyplot.savefig(
99      f'{os.path.join(log_path, _NAME)}_s={sens}.png')
100  pylab.clf()
101
102
103def assert_increasing_means(means, exps, sens, black_levels, white_level):
104  """Assert that each image increases unless over/undersaturated.
105
106  Args:
107    means: BAYER COLORS means for set of images
108    exps: exposure times in ms
109    sens: ISO gain value
110    black_levels: BAYER COLORS black_level values
111    white_level: full scale value
112  Returns:
113    None
114  """
115  lower_thresh = np.array(black_levels) * (1 + _BLK_LVL_RTOL)
116  logging.debug('Lower threshold for check: %s', lower_thresh)
117  allow_under_saturated = True
118  for i in range(1, len(means)):
119    prev_mean = means[i-1]
120    mean = means[i]
121
122    if math.isclose(max(mean), white_level, rel_tol=_IMG_SAT_RTOL):
123      logging.debug('Saturated: white_level %f, max_mean %f',
124                    white_level, max(mean))
125      break
126
127    if allow_under_saturated and min(mean-lower_thresh) < 0:
128      # All channel means are close to black level
129      continue
130    allow_under_saturated = False
131    # Check pixel means are increasing (with small tolerance)
132    logging.debug('iso: %d, exp: %.3f, means: %s', sens, exps[i-1], mean)
133    for ch, color in enumerate(_BAYER_COLORS):
134      if mean[ch] <= prev_mean[ch] * _IMG_DELTA_THRESH:
135        e_msg = (f'{color} not increasing with increased exp time! '
136                 f'ISO: {sens}, ')
137        if i == 1:
138          e_msg += f'black_level: {black_levels[ch]}, '
139        else:
140          e_msg += (f'exp[i-1]: {exps[i-2]:.3f}ms, '
141                    f'mean[i-1]: {prev_mean[ch]:.2f}, ')
142        e_msg += (f'exp[i]: {exps[i-1]:.3f}ms, mean[i]: {mean[ch]}, '
143                  f'TOL: {_IMG_DELTA_THRESH}')
144        raise AssertionError(e_msg)
145
146
147class RawExposureTest(its_base_test.ItsBaseTest):
148  """Capture RAW images with increasing exp time and measure pixel values."""
149
150  def test_raw_exposure(self):
151    logging.debug('Starting %s', _NAME)
152    with its_session_utils.ItsSession(
153        device_id=self.dut.serial,
154        camera_id=self.camera_id,
155        hidden_physical_id=self.hidden_physical_id) as cam:
156      props = cam.get_camera_properties()
157      props = cam.override_with_hidden_physical_camera_props(props)
158      camera_properties_utils.skip_unless(
159          camera_properties_utils.raw16(props) and
160          camera_properties_utils.manual_sensor(props) and
161          camera_properties_utils.per_frame_control(props) and
162          not camera_properties_utils.mono_camera(props))
163      log_path = self.log_path
164
165      # Load chart for scene
166      its_session_utils.load_scene(
167          cam, props, self.scene, self.tablet,
168          its_session_utils.CHART_DISTANCE_NO_SCALING)
169
170      # Create list of exposures
171      e_min, e_max = props['android.sensor.info.exposureTimeRange']
172      e_test = create_test_exposure_list(e_min, e_max)
173      e_test_ms = [e*_NS_TO_MS_FACTOR for e in e_test]
174
175      # Capture with rawStats to reduce capture times
176      fmt = define_raw_stats_fmt(props)
177
178      # Create sensitivity range from min to max analog sensitivity
179      sens_min, _ = props['android.sensor.info.sensitivityRange']
180      sens_max = props['android.sensor.maxAnalogSensitivity']
181      sens_step = (sens_max - sens_min) // _NUM_ISO_STEPS
182      white_level = float(props['android.sensor.info.whiteLevel'])
183      black_levels = [image_processing_utils.get_black_level(
184          i, props) for i, _ in enumerate(_BAYER_COLORS)]
185
186      # Do captures with exposure list over sensitivity range
187      for s in range(sens_min, sens_max, sens_step):
188        # Break caps into bursts and do captures
189        burst_len = _BURST_LEN
190        caps = []
191        reqs = [capture_request_utils.manual_capture_request(
192            s, e, 0) for e in e_test]
193        # Eliminate burst len==1. Error because returns [[]], not [{}, ...]
194        while len(reqs) % burst_len == 1:
195          burst_len -= 1
196        # Break caps into bursts
197        for i in range(len(reqs) // burst_len):
198          caps += cam.do_capture(reqs[i*burst_len:(i+1)*burst_len], fmt)
199        last_n = len(reqs) % burst_len
200        if last_n:
201          caps += cam.do_capture(reqs[-last_n:], fmt)
202
203        # Extract means for each capture
204        means = []
205        means.append(black_levels)
206        for i, cap in enumerate(caps):
207          mean_image, _ = image_processing_utils.unpack_rawstats_capture(cap)
208          mean = mean_image[_IMG_STATS_GRID // 2, _IMG_STATS_GRID // 2]
209          logging.debug('ISO=%d, exp_time=%.3fms, mean=%s',
210                        s, (e_test[i] * _NS_TO_MS_FACTOR), str(mean))
211          means.append(mean)
212
213        # Create plot
214        create_plot(e_test_ms, means, s, log_path)
215
216        # Each shot mean should be brighter (except under/overexposed scene)
217        assert_increasing_means(means, e_test_ms, s, black_levels, white_level)
218
219if __name__ == '__main__':
220  test_runner.main()
221