| # Copyright 2013 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 converted YUV images & device JPEG images look the same.""" |
| |
| |
| 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 |
| import target_exposure_utils |
| |
| 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_img_means_and_save(img, img_name, log_path): |
| """Extract center patch, compute means, and save image. |
| |
| Args: |
| img: image array |
| img_name: text to identify image |
| log_path: location to save image |
| |
| Returns: |
| means of image patch |
| """ |
| image_processing_utils.write_image( |
| img, '%s_fmt=%s.jpg' % (os.path.join(log_path, NAME), img_name)) |
| 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, str(rgb_means)) |
| return rgb_means |
| |
| |
| class JpegTest(its_base_test.ItsBaseTest): |
| """Test that converted YUV images and device JPEG images look the same.""" |
| |
| def test_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.compute_target_exposure(props)) |
| sync_latency = camera_properties_utils.sync_latency(props) |
| |
| # Load chart for scene |
| its_session_utils.load_scene( |
| cam, props, self.scene, self.tablet, self.chart_distance) |
| |
| # Initialize common request parameters |
| e, s = target_exposure_utils.get_target_exposure_combos( |
| log_path, cam)['midExposureTime'] |
| req = capture_request_utils.manual_capture_request(s, e, 0.0, True, props) |
| |
| # YUV |
| size = capture_request_utils.get_available_output_sizes('yuv', props)[0] |
| out_surface = {'width': size[0], 'height': size[1], 'format': 'yuv'} |
| cap = its_session_utils.do_capture_with_latency( |
| cam, req, sync_latency, out_surface) |
| img = image_processing_utils.convert_capture_to_rgb_image(cap) |
| rgb_means_yuv = compute_img_means_and_save(img, 'yuv', log_path) |
| |
| # JPEG |
| size = capture_request_utils.get_available_output_sizes('jpg', props)[0] |
| out_surface = {'width': size[0], 'height': size[1], 'format': 'jpg'} |
| cap = its_session_utils.do_capture_with_latency( |
| cam, req, sync_latency, out_surface) |
| img = image_processing_utils.decompress_jpeg_to_rgb_image(cap['data']) |
| rgb_means_jpg = compute_img_means_and_save(img, 'jpg', log_path) |
| |
| # Assert images are similar |
| rms_diff = image_processing_utils.compute_image_rms_difference( |
| rgb_means_yuv, rgb_means_jpg) |
| logging.debug('RMS difference: %.3f', rms_diff) |
| e_msg = 'RMS difference: %.3f, spec: %.2f' % ( |
| rms_diff, THRESHOLD_MAX_RMS_DIFF) |
| assert rms_diff < THRESHOLD_MAX_RMS_DIFF, e_msg |
| |
| if __name__ == '__main__': |
| test_runner.main() |
| |