121 lines
4.3 KiB
Python
121 lines
4.3 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 android.sensor.sensitivity parameter is applied."""
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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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_COLORS = ('R', 'G', 'B')
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_NAME = os.path.splitext(os.path.basename(__file__))[0]
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_NUM_STEPS = 5
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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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class ParamSensitivityTest(its_base_test.ItsBaseTest):
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"""Test that the android.sensor.sensitivity parameter is applied."""
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def test_param_sensitivity(self):
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logging.debug('Starting %s', _NAME)
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sensitivities = None
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r_means = []
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g_means = []
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b_means = []
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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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test_name_with_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.compute_target_exposure(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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# Initialize requests
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sync_latency = camera_properties_utils.sync_latency(props)
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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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expt, _ = target_exposure_utils.get_target_exposure_combos(
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log_path, cam)['midSensitivity']
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sens_range = props['android.sensor.info.sensitivityRange']
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sens_step = (sens_range[1] - sens_range[0]) / float(_NUM_STEPS-1)
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sensitivities = [
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int(sens_range[0] + i * sens_step) for i in range(_NUM_STEPS)]
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for s in sensitivities:
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logging.debug('Capturing with sensitivity: %d', s)
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req = capture_request_utils.manual_capture_request(s, expt)
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cap = its_session_utils.do_capture_with_latency(
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cam, req, sync_latency, fmt)
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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'{test_name_with_path}_iso={s}.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('R means: %s', str(r_means))
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logging.debug('G means: %s', str(g_means))
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logging.debug('B means: %s', str(b_means))
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# Draw plot
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pylab.figure(_NAME)
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pylab.plot(sensitivities, r_means, '-ro')
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pylab.plot(sensitivities, g_means, '-go')
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pylab.plot(sensitivities, b_means, '-bo')
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pylab.ylim([0, 1])
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pylab.title(_NAME)
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pylab.xlabel('Gain (ISO)')
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pylab.ylabel('RGB means')
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matplotlib.pyplot.savefig(f'{test_name_with_path}_plot_means.png')
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# Test for pass/fail: check that each shot is brighter than previous
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for i, means in enumerate([r_means, g_means, b_means]):
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for j in range(len(means)-1):
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if means[j+1] <= means[j]:
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raise AssertionError(f'{_COLORS[i]} cap {j} means[j+1]: '
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f'{means[j+1]:.3f}, means[j]: {means[j]:.3f}')
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if __name__ == '__main__':
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test_runner.main()
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