131 lines
4.6 KiB
Python
131 lines
4.6 KiB
Python
# Copyright 2013 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 settings latch on the correct frame."""
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import logging
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import os.path
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import matplotlib
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from matplotlib import pylab
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from mobly import test_runner
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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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import target_exposure_utils
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_EXP_GAIN_FACTOR = 2
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_NAME = os.path.splitext(os.path.basename(__file__))[0]
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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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_REQ_PATTERN = ['base', 'base', 'iso', 'iso', 'base', 'base', 'exp',
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'base', 'iso', 'base', 'exp', 'base', 'exp', 'exp']
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_PATTERN_CHECK = [r != 'base' for r in _REQ_PATTERN]
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class LatchingTest(its_base_test.ItsBaseTest):
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"""Test that settings latch on the right frame.
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Takes a sequence of 14 shots using back-to-back requests, varying the capture
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request gain and exp parameters between shots. Check images that come back
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have the properties.
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Pattern is described in EXP_GAIN_HIGH_PATTERN where False is NOM, True is High
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"""
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def test_latching(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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log_path = self.log_path
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name_with_log_path = os.path.join(log_path, _NAME)
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# check SKIP conditions
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camera_properties_utils.skip_unless(
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camera_properties_utils.full_or_better(props))
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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,
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its_session_utils.CHART_DISTANCE_NO_SCALING)
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# Create requests, do captures and extract means for each image
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_, fmt = capture_request_utils.get_fastest_manual_capture_settings(props)
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e, s = target_exposure_utils.get_target_exposure_combos(
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log_path, cam)['midExposureTime']
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e /= _EXP_GAIN_FACTOR
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r_means = []
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g_means = []
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b_means = []
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reqs = []
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base_req = capture_request_utils.manual_capture_request(
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s, e, 0.0, True, props)
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iso_mult_req = capture_request_utils.manual_capture_request(
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s * _EXP_GAIN_FACTOR, e, 0.0, True, props)
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exp_mult_req = capture_request_utils.manual_capture_request(
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s, e * _EXP_GAIN_FACTOR, 0.0, True, props)
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for req_type in _REQ_PATTERN:
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if req_type == 'base':
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reqs.append(base_req)
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elif req_type == 'exp':
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reqs.append(exp_mult_req)
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elif req_type == 'iso':
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reqs.append(iso_mult_req)
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else:
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raise AssertionError(f'Incorrect capture request! {req_type}')
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caps = cam.do_capture(reqs, fmt)
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for i, cap in enumerate(caps):
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img = image_processing_utils.convert_capture_to_rgb_image(cap)
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image_processing_utils.write_image(
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img, f'{name_with_log_path}_i={i:02d}.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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r_means.append(rgb_means[0])
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g_means.append(rgb_means[1])
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b_means.append(rgb_means[2])
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logging.debug('G means: %s', str(g_means))
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# Plot results
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idxs = range(len(r_means))
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pylab.figure(_NAME)
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pylab.plot(idxs, r_means, '-ro')
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pylab.plot(idxs, g_means, '-go')
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pylab.plot(idxs, b_means, '-bo')
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pylab.ylim([0, 1])
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pylab.title(_NAME)
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pylab.xlabel('capture')
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pylab.ylabel('RGB means')
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matplotlib.pyplot.savefig(f'{name_with_log_path}_plot_means.png')
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# check G mean pattern for correctness
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g_avg_for_caps = sum(g_means) / len(g_means)
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g_high = [g / g_avg_for_caps > 1 for g in g_means]
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if g_high != _PATTERN_CHECK:
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raise AssertionError(f'G means: {g_means}, TEMPLATE: {_REQ_PATTERN}')
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if __name__ == '__main__':
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test_runner.main()
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