# 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 JPEG and YUV images are similar.""" 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 _MAX_IMG_SIZE = (1920, 1080) _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/2 _PATCH_Y = 0.5 - _PATCH_H/2 _THRESHOLD_MAX_RMS_DIFF = 0.01 def compute_means_and_save(cap, img_name, log_path): """Compute the RGB means of a capture. Args: cap: 'YUV' or 'JPEG' capture img_name: text for saved image name log_path: path for saved image location Returns: RGB means """ img = image_processing_utils.convert_capture_to_rgb_image(cap, True) image_processing_utils.write_image( img, f'{os.path.join(log_path, _NAME)}_{img_name}.jpg') patch = image_processing_utils.get_image_patch( img, _PATCH_X, _PATCH_Y, _PATCH_W, _PATCH_H) rgb_means = image_processing_utils.compute_image_means(patch) logging.debug('%s RGB means: %s', img_name, rgb_means) return rgb_means class YuvPlusJpegTest(its_base_test.ItsBaseTest): """Test capturing a single frame as both YUV and JPEG outputs.""" def test_yuv_plus_jpeg(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) log_path = self.log_path # Check SKIP conditions camera_properties_utils.skip_unless( camera_properties_utils.linear_tonemap(props)) # Load chart for scene its_session_utils.load_scene( cam, props, self.scene, self.tablet, its_session_utils.CHART_DISTANCE_NO_SCALING) # Create requests max_jpeg_size = capture_request_utils.get_available_output_sizes( 'jpeg', props)[0] if capture_request_utils.is_common_aspect_ratio(max_jpeg_size): w, h = capture_request_utils.get_available_output_sizes( 'yuv', props, _MAX_IMG_SIZE, max_jpeg_size)[0] else: w, h = capture_request_utils.get_available_output_sizes( 'yuv', props, max_size=_MAX_IMG_SIZE)[0] logging.debug('YUV size: (%d, %d)', w, h) logging.debug('JPEG size: %s', max_jpeg_size) fmt_yuv = {'format': 'yuv', 'width': w, 'height': h} fmt_jpg = {'format': 'jpeg'} if camera_properties_utils.stream_use_case(props): fmt_yuv['useCase'] = camera_properties_utils.USE_CASE_STILL_CAPTURE fmt_jpg['useCase'] = camera_properties_utils.USE_CASE_STILL_CAPTURE # Use an auto_capture_request with linear tonemap so that the YUV and JPEG # should look the same (once converted by the image_processing_utils). # Do not use AF to match manual capture request. req = capture_request_utils.auto_capture_request( linear_tonemap=True, props=props, do_af=False) cam.do_3a() cap_yuv, cap_jpg = cam.do_capture(req, [fmt_yuv, fmt_jpg]) rgb_means_yuv = compute_means_and_save(cap_yuv, 'yuv', log_path) rgb_means_jpg = compute_means_and_save(cap_jpg, 'jpg', log_path) rms_diff = image_processing_utils.compute_image_rms_difference_1d( rgb_means_yuv, rgb_means_jpg) msg = f'RMS diff: {rms_diff:.4f}' logging.debug('%s', msg) if rms_diff >= _THRESHOLD_MAX_RMS_DIFF: raise AssertionError(msg + f', spec: {_THRESHOLD_MAX_RMS_DIFF}') # Log rms-diff, so that it can be written to the report log. print(f'test_yuv_plus_jpeg_rms_diff:{rms_diff:.4f}') if __name__ == '__main__': test_runner.main()