# Copyright 2014 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 YUV image consistency with AE and AWB locked.""" import logging import os.path from mobly import test_runner import its_base_test import camera_properties_utils import capture_request_utils import image_processing_utils import its_session_utils BURST_LEN = 8 COLORS = ['R', 'G', 'B'] FPS_MAX_DIFF = 2.0 NAME = os.path.splitext(os.path.basename(__file__))[0] PATCH_H = 0.1 # center 10% PATCH_W = 0.1 PATCH_X = 0.5 - PATCH_W PATCH_Y = 0.5 - PATCH_H SPREAD_THRESH_MANUAL_SENSOR = 0.01 SPREAD_THRESH = 0.03 VALUE_THRESH = 0.1 class LockedBurstTest(its_base_test.ItsBaseTest): """Test 3A lock + YUV burst (using auto settings). This is a test designed to pass even on limited devices that don't have MANUAL_SENSOR or PER_FRAME_CONTROL. The test checks YUV image consistency while the frame rate check is in CTS. """ def test_locked_burst(self): logging.debug('Starting %s', NAME) 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) mono_camera = camera_properties_utils.mono_camera(props) log_path = self.log_path # check SKIP conditions camera_properties_utils.skip_unless( camera_properties_utils.ae_lock(props) and camera_properties_utils.awb_lock(props)) # Load chart for scene its_session_utils.load_scene( cam, props, self.scene, self.tablet, self.chart_distance) # Converge 3A prior to capture. cam.do_3a(do_af=True, lock_ae=True, lock_awb=True, mono_camera=mono_camera) fmt = capture_request_utils.get_largest_yuv_format(props) # After 3A has converged, lock AE+AWB for the duration of the test. logging.debug('Locking AE & AWB') req = capture_request_utils.fastest_auto_capture_request(props) req['android.control.awbLock'] = True req['android.control.aeLock'] = True # Capture bursts of YUV shots. # Get the mean values of a center patch for each. r_means = [] g_means = [] b_means = [] caps = cam.do_capture([req]*BURST_LEN, fmt) for i, cap in enumerate(caps): img = image_processing_utils.convert_capture_to_rgb_image(cap) image_processing_utils.write_image(img, '%s_frame%d.jpg' % ( os.path.join(log_path, NAME), i)) patch = image_processing_utils.get_image_patch( img, PATCH_X, PATCH_Y, PATCH_W, PATCH_H) means = image_processing_utils.compute_image_means(patch) r_means.append(means[0]) g_means.append(means[1]) b_means.append(means[2]) # Assert center patch brightness & similarity for i, means in enumerate([r_means, g_means, b_means]): plane = COLORS[i] min_means = min(means) spread = max(means) - min_means logging.debug('%s patch mean spread %.5f. means = %s', plane, spread, str(means)) for j in range(BURST_LEN): if min_means <= VALUE_THRESH: raise AssertionError(f'{plane} frame {j} too dark! mean: ' f'{min_means:.5f}, THRESH: {VALUE_THRESH}') threshold = SPREAD_THRESH if camera_properties_utils.manual_sensor(props): threshold = SPREAD_THRESH_MANUAL_SENSOR if spread >= threshold: raise AssertionError(f'{plane} center patch spread: {spread:.5f}, ' f'THRESH: {threshold:.2f}') if __name__ == '__main__': test_runner.main()