1# Copyright 2013 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 converted YUV images & device JPEG images look the same."""
15
16
17import logging
18import os.path
19from mobly import test_runner
20
21import its_base_test
22import camera_properties_utils
23import capture_request_utils
24import image_processing_utils
25import its_session_utils
26import target_exposure_utils
27
28_NAME = os.path.splitext(os.path.basename(__file__))[0]
29_PATCH_H = 0.1  # center 10%
30_PATCH_W = 0.1
31_PATCH_X = 0.5 - _PATCH_W/2
32_PATCH_Y = 0.5 - _PATCH_H/2
33_THRESHOLD_MAX_RMS_DIFF = 0.01
34
35
36def compute_img_means_and_save(img, fmt_name, log_path):
37  """Extract center patch, compute means, and save image.
38
39  Args:
40    img: image array
41    fmt_name: text to identify image
42    log_path: location to save image
43
44  Returns:
45    means of image patch
46  """
47  name_with_log_path = os.path.join(log_path, _NAME)
48  image_processing_utils.write_image(
49      img, f'{name_with_log_path}_fmt={fmt_name}.jpg')
50  patch = image_processing_utils.get_image_patch(
51      img, _PATCH_X, _PATCH_Y, _PATCH_W, _PATCH_H)
52  rgb_means = image_processing_utils.compute_image_means(patch)
53  logging.debug('%s rgb_means: %s', fmt_name, str(rgb_means))
54  return rgb_means
55
56
57class JpegTest(its_base_test.ItsBaseTest):
58  """Test that converted YUV images and device JPEG images look the same."""
59
60  def test_jpeg(self):
61    logging.debug('Starting %s', _NAME)
62    with its_session_utils.ItsSession(
63        device_id=self.dut.serial,
64        camera_id=self.camera_id,
65        hidden_physical_id=self.hidden_physical_id) as cam:
66      props = cam.get_camera_properties()
67      props = cam.override_with_hidden_physical_camera_props(props)
68      log_path = self.log_path
69
70      sync_latency = camera_properties_utils.sync_latency(props)
71
72      # Check SKIP conditions
73      camera_properties_utils.skip_unless(
74          camera_properties_utils.linear_tonemap(props))
75
76      # Load chart for scene
77      its_session_utils.load_scene(
78          cam, props, self.scene, self.tablet,
79          its_session_utils.CHART_DISTANCE_NO_SCALING)
80
81      # Initialize common request parameters
82      if camera_properties_utils.compute_target_exposure(props):
83        e, s = target_exposure_utils.get_target_exposure_combos(
84            log_path, cam)['midExposureTime']
85        req = capture_request_utils.manual_capture_request(
86            s, e, 0.0, True, props)
87      else:
88        cam.do_3a(do_af=False)
89        req = capture_request_utils.auto_capture_request(
90            linear_tonemap=True, props=props, do_af=False)
91
92      # YUV
93      size = capture_request_utils.get_available_output_sizes('yuv', props)[0]
94      out_surface = {'width': size[0], 'height': size[1], 'format': 'yuv'}
95      cap = its_session_utils.do_capture_with_latency(
96          cam, req, sync_latency, out_surface)
97      img = image_processing_utils.convert_capture_to_rgb_image(cap)
98      rgb_means_yuv = compute_img_means_and_save(img, 'yuv', log_path)
99
100      # JPEG
101      size = capture_request_utils.get_available_output_sizes('jpg', props)[0]
102      out_surface = {'width': size[0], 'height': size[1], 'format': 'jpg'}
103      cap = its_session_utils.do_capture_with_latency(
104          cam, req, sync_latency, out_surface)
105      img = image_processing_utils.decompress_jpeg_to_rgb_image(cap['data'])
106      rgb_means_jpg = compute_img_means_and_save(img, 'jpg', log_path)
107
108      # Assert images are similar
109      rms_diff = image_processing_utils.compute_image_rms_difference_1d(
110          rgb_means_yuv, rgb_means_jpg)
111      logging.debug('RMS difference: %.3f', rms_diff)
112      if rms_diff >= _THRESHOLD_MAX_RMS_DIFF:
113        raise AssertionError(
114            f'RMS diff: {rms_diff:.3f}, spec: {_THRESHOLD_MAX_RMS_DIFF}')
115
116if __name__ == '__main__':
117  test_runner.main()
118
119