153 lines
5.6 KiB
Python
153 lines
5.6 KiB
Python
# Copyright 2014 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Verifies shots with different tonemap curves."""
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import logging
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import os.path
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from mobly import test_runner
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import numpy as np
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import its_base_test
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import camera_properties_utils
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import capture_request_utils
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import image_processing_utils
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import its_session_utils
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_MAX_DELTA_SAME = 0.03 # match number in test_burst_sameness_manual
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_MIN_DELTA_DIFF = 0.10
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_NAME = os.path.splitext(os.path.basename(__file__))[0]
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_NUM_CAPTURES = 3
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_NUM_FRAMES_PER_CAPTURE = 8
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_PATCH_H = 0.1 # center 10%
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_PATCH_W = 0.1
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_PATCH_X = 0.5 - _PATCH_W/2
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_PATCH_Y = 0.5 - _PATCH_H/2
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_RGB_G_CH = 1
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_TMAP_NO_DELTA_FRAMES = list(range(_NUM_CAPTURES-1)) + list(
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range(_NUM_CAPTURES, 2*_NUM_CAPTURES-1))
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def do_captures_and_extract_means(
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cam, req, fmt, num_frames_per_cap, tonemap, log_path):
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"""Do captures, save image and extract means from center patch.
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Args:
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cam: camera object.
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req: camera request.
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fmt: capture format.
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num_frames_per_cap: int; number of frames per capture
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tonemap: string to determine 'linear' or 'default' tonemap.
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log_path: location to save images.
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Returns:
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appended means list.
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"""
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green_means = []
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for i in range(_NUM_CAPTURES):
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cap = cam.do_capture([req]*num_frames_per_cap, fmt)
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img = image_processing_utils.convert_capture_to_rgb_image(cap[-1])
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image_processing_utils.write_image(
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img, f'{os.path.join(log_path, _NAME)}_{tonemap}_{i}.jpg')
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patch = image_processing_utils.get_image_patch(
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img, _PATCH_X, _PATCH_Y, _PATCH_W, _PATCH_H)
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rgb_means = image_processing_utils.compute_image_means(patch)
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logging.debug('%s frame %d means: %s', tonemap, i, str(rgb_means))
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green_means.append(rgb_means[_RGB_G_CH]) # G, note python 2 version used R
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return green_means
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class TonemapSequenceTest(its_base_test.ItsBaseTest):
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"""Tests a sequence of shots with different tonemap curves.
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There should be _NUM_CAPTURES with a linear tonemap followed by a second set
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of _NUM_CAPTURES with the default tonemap.
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asserts the frames in each _NUM_CAPTURES bunch are similar
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asserts the frames in the 2 _NUM_CAPTURES bunches are different by >10%
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"""
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def test_tonemap_sequence(self):
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logging.debug('Starting %s', _NAME)
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with its_session_utils.ItsSession(
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device_id=self.dut.serial,
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camera_id=self.camera_id,
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hidden_physical_id=self.hidden_physical_id) as cam:
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props = cam.get_camera_properties()
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props = cam.override_with_hidden_physical_camera_props(props)
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camera_properties_utils.skip_unless(
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not camera_properties_utils.mono_camera(props) and
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camera_properties_utils.linear_tonemap(props))
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log_path = self.log_path
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# Load chart for scene
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its_session_utils.load_scene(
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cam, props, self.scene, self.tablet, self.chart_distance)
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# define formats
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largest_yuv = capture_request_utils.get_largest_yuv_format(props)
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match_ar = (largest_yuv['width'], largest_yuv['height'])
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fmt = capture_request_utils.get_near_vga_yuv_format(
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props, match_ar=match_ar)
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means = []
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# set params based on per_frame_control & read_3a
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manual_and_per_frame_control = (
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camera_properties_utils.per_frame_control(props) and
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camera_properties_utils.read_3a(props))
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if manual_and_per_frame_control:
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logging.debug('PER_FRAME_CONTROL supported.')
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num_frames_per_cap = 1
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sens, exp, _, _, f_dist = cam.do_3a(do_af=True, get_results=True)
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else:
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logging.debug('PER_FRAME_CONTROL not supported.')
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num_frames_per_cap = _NUM_FRAMES_PER_CAPTURE
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cam.do_3a()
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for tonemap in ['linear', 'default']:
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if tonemap == 'linear':
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if manual_and_per_frame_control:
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req = capture_request_utils.manual_capture_request(
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sens, exp, f_dist, True, props)
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else:
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req = capture_request_utils.auto_capture_request(
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linear_tonemap=True, props=props)
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else:
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if manual_and_per_frame_control:
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req = capture_request_utils.manual_capture_request(
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sens, exp, f_dist, False)
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else:
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req = capture_request_utils.auto_capture_request()
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means.extend(do_captures_and_extract_means(
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cam, req, fmt, num_frames_per_cap, tonemap, log_path))
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# Compute the delta between each consecutive frame pair
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deltas = [np.fabs(means[i+1]-means[i]) for i in range(2*_NUM_CAPTURES-1)]
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logging.debug('Deltas between consecutive frames: %s', str(deltas))
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# assert frames similar with same tonemap
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if not all([deltas[i] < _MAX_DELTA_SAME for i in _TMAP_NO_DELTA_FRAMES]):
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raise AssertionError('Captures too different with same tonemap! '
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f'deltas: {deltas}, ATOL: {_MAX_DELTA_SAME}')
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# assert frames different with tonemap change
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if deltas[_NUM_CAPTURES-1] <= _MIN_DELTA_DIFF:
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raise AssertionError('Captures too similar with different tonemaps! '
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f'deltas: {deltas}, THRESH: {_MIN_DELTA_DIFF}')
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if __name__ == '__main__':
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test_runner.main()
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