| # Copyright 2019 The Android Open Source Project |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| """Verifies camera will produce full black & full white images.""" |
| |
| |
| import logging |
| import math |
| import os.path |
| import matplotlib |
| from matplotlib import pylab |
| |
| |
| from mobly import test_runner |
| import numpy as np |
| |
| import its_base_test |
| import camera_properties_utils |
| import capture_request_utils |
| import image_processing_utils |
| import its_session_utils |
| |
| _ANDROID10_API_LEVEL = 29 |
| CH_FULL_SCALE = 255 |
| CH_THRESH_BLACK = 6 |
| CH_THRESH_WHITE = CH_FULL_SCALE - 6 |
| CH_TOL_WHITE = 2 |
| COLOR_PLANES = ['R', 'G', 'B'] |
| NAME = os.path.splitext(os.path.basename(__file__))[0] |
| PATCH_H = 0.1 |
| PATCH_W = 0.1 |
| PATCH_X = 0.45 |
| PATCH_Y = 0.45 |
| VGA_WIDTH, VGA_HEIGHT = 640, 480 |
| |
| |
| def do_img_capture(cam, s, e, fmt, latency, cap_name, log_path): |
| """Do the image captures with the defined parameters. |
| |
| Args: |
| cam: its_session open for camera |
| s: sensitivity for request |
| e: exposure in ns for request |
| fmt: format of request |
| latency: number of frames for sync latency of request |
| cap_name: string to define the capture |
| log_path: path for plot directory |
| |
| Returns: |
| means values of center patch from capture |
| """ |
| |
| req = capture_request_utils.manual_capture_request(s, e) |
| cap = its_session_utils.do_capture_with_latency(cam, req, latency, fmt) |
| img = image_processing_utils.convert_capture_to_rgb_image(cap) |
| image_processing_utils.write_image( |
| img, '%s_%s.jpg' % (os.path.join(log_path, NAME), cap_name)) |
| patch = image_processing_utils.get_image_patch( |
| img, PATCH_X, PATCH_Y, PATCH_W, PATCH_H) |
| means = image_processing_utils.compute_image_means(patch) |
| means = [m * CH_FULL_SCALE for m in means] |
| logging.debug('%s pixel means: %s', cap_name, str(means)) |
| r_exp = cap['metadata']['android.sensor.exposureTime'] |
| r_iso = cap['metadata']['android.sensor.sensitivity'] |
| logging.debug('%s shot write values: sens = %d, exp time = %.4fms', |
| cap_name, s, (e / 1000000.0)) |
| logging.debug('%s shot read values: sens = %d, exp time = %.4fms', |
| cap_name, r_iso, (r_exp / 1000000.0)) |
| return means |
| |
| |
| class BlackWhiteTest(its_base_test.ItsBaseTest): |
| """Test that device will prodoce full black + white images. |
| """ |
| |
| def test_black_white(self): |
| r_means = [] |
| g_means = [] |
| b_means = [] |
| |
| with its_session_utils.ItsSession( |
| device_id=self.dut.serial, |
| camera_id=self.camera_id, |
| hidden_physical_id=self.hidden_physical_id) as cam: |
| props = cam.get_camera_properties() |
| props = cam.override_with_hidden_physical_camera_props(props) |
| |
| # Check SKIP conditions |
| camera_properties_utils.skip_unless( |
| camera_properties_utils.manual_sensor(props)) |
| |
| # Load chart for scene |
| its_session_utils.load_scene( |
| cam, props, self.scene, self.tablet, self.chart_distance) |
| |
| # Initialize params for requests |
| latency = camera_properties_utils.sync_latency(props) |
| fmt = {'format': 'yuv', 'width': VGA_WIDTH, 'height': VGA_HEIGHT} |
| expt_range = props['android.sensor.info.exposureTimeRange'] |
| sens_range = props['android.sensor.info.sensitivityRange'] |
| log_path = self.log_path |
| |
| # Take shot with very low ISO and exp time: expect it to be black |
| s = sens_range[0] |
| e = expt_range[0] |
| black_means = do_img_capture(cam, s, e, fmt, latency, 'black', log_path) |
| r_means.append(black_means[0]) |
| g_means.append(black_means[1]) |
| b_means.append(black_means[2]) |
| |
| # Take shot with very high ISO and exp time: expect it to be white. |
| s = sens_range[1] |
| e = expt_range[1] |
| white_means = do_img_capture(cam, s, e, fmt, latency, 'white', log_path) |
| r_means.append(white_means[0]) |
| g_means.append(white_means[1]) |
| b_means.append(white_means[2]) |
| |
| # Draw plot |
| pylab.title('test_black_white') |
| pylab.plot([0, 1], r_means, '-ro') |
| pylab.plot([0, 1], g_means, '-go') |
| pylab.plot([0, 1], b_means, '-bo') |
| pylab.xlabel('Capture Number') |
| pylab.ylabel('Output Values [0:255]') |
| pylab.ylim([0, 255]) |
| matplotlib.pyplot.savefig('%s_plot_means.png' % ( |
| os.path.join(log_path, NAME))) |
| |
| # Assert blacks below CH_THRESH_BLACK |
| for ch, mean in enumerate(black_means): |
| if mean >= CH_THRESH_BLACK: |
| raise AssertionError(f'{COLOR_PLANES[ch]} black: {mean:.1f}, ' |
| f'THRESH: {CH_THRESH_BLACK}') |
| |
| # Assert whites above CH_THRESH_WHITE |
| for ch, mean in enumerate(white_means): |
| if mean <= CH_THRESH_WHITE: |
| raise AssertionError(f'{COLOR_PLANES[ch]} white: {mean:.1f}, ' |
| f'THRESH: {CH_THRESH_WHITE}') |
| |
| # Assert channels saturate evenly (was test_channel_saturation) |
| first_api_level = its_session_utils.get_first_api_level(self.dut.serial) |
| if first_api_level > _ANDROID10_API_LEVEL: |
| if not math.isclose( |
| np.amin(white_means), np.amax(white_means), abs_tol=CH_TOL_WHITE): |
| raise AssertionError('channel saturation not equal! ' |
| f'RGB: {white_means}, ATOL: {CH_TOL_WHITE}') |
| |
| if __name__ == '__main__': |
| test_runner.main() |
| |