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# Copyright 2015 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.
import logging
import os
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 cv2_image_processing_utils
import image_processing_utils
import its_session_utils
EDGE_MODES = {'OFF': 0, 'FAST': 1, 'HQ': 2, 'ZSL': 3}
EDGE_MODES_VALUES = list(EDGE_MODES.values())
NAME = os.path.splitext(os.path.basename(__file__))[0]
NUM_SAMPLES = 4
PLOT_COLORS = {'yuv': 'r', 'private': 'g', 'none': 'b'}
SHARPNESS_RTOL = 0.15
def check_edge_modes(sharpness):
"""Check that the sharpness for the different edge modes is correct."""
logging.debug('Verify HQ is sharper than OFF')
if sharpness[EDGE_MODES['HQ']] < sharpness[EDGE_MODES['OFF']]:
raise AssertionError(f"HQ < OFF! HQ: {sharpness[EDGE_MODES['HQ']]:.5f}, "
f"OFF: {sharpness[EDGE_MODES['OFF']]:.5f}")
logging.debug('Verify ZSL is similar to OFF')
e_msg = 'ZSL: %.5f, OFF: %.5f, RTOL: %.2f' % (
sharpness[EDGE_MODES['ZSL']], sharpness[EDGE_MODES['OFF']],
SHARPNESS_RTOL)
assert np.isclose(sharpness[EDGE_MODES['ZSL']], sharpness[EDGE_MODES['OFF']],
SHARPNESS_RTOL), e_msg
logging.debug('Verify OFF is not sharper than FAST')
e_msg = 'FAST: %.5f, OFF: %.5f, RTOL: %.2f' % (
sharpness[EDGE_MODES['FAST']], sharpness[EDGE_MODES['OFF']],
SHARPNESS_RTOL)
assert (sharpness[EDGE_MODES['FAST']] >
sharpness[EDGE_MODES['OFF']] * (1.0-SHARPNESS_RTOL)), e_msg
logging.debug('Verify FAST is not sharper than HQ')
e_msg = 'FAST: %.5f, HQ: %.5f, RTOL: %.2f' % (
sharpness[EDGE_MODES['FAST']], sharpness[EDGE_MODES['HQ']],
SHARPNESS_RTOL)
assert (sharpness[EDGE_MODES['HQ']] >
sharpness[EDGE_MODES['FAST']] * (1.0-SHARPNESS_RTOL)), e_msg
def do_capture_and_determine_sharpness(
cam, edge_mode, sensitivity, exp, fd, out_surface, chart, log_path,
reprocess_format=None):
"""Return sharpness of the output images and the capture result metadata.
Processes a capture request with a given edge mode, sensitivity, exposure
time, focus distance, output surface parameter, and reprocess format
(None for a regular request.)
Args:
cam: An open device session.
edge_mode: Edge mode for the request as defined in android.edge.mode
sensitivity: Sensitivity for the request as defined in
android.sensor.sensitivity
exp: Exposure time for the request as defined in
android.sensor.exposureTime.
fd: Focus distance for the request as defined in
android.lens.focusDistance
out_surface: Specifications of the output image format and size.
chart: object containing chart information
log_path: location to save files
reprocess_format: (Optional) The reprocessing format. If not None,
reprocessing will be enabled.
Returns:
Object containing reported edge mode and the sharpness of the output
image, keyed by the following strings:
'edge_mode'
'sharpness'
"""
req = capture_request_utils.manual_capture_request(sensitivity, exp)
req['android.lens.focusDistance'] = fd
req['android.edge.mode'] = edge_mode
if reprocess_format:
req['android.reprocess.effectiveExposureFactor'] = 1.0
sharpness_list = []
caps = cam.do_capture([req]*NUM_SAMPLES, [out_surface], reprocess_format)
for n in range(NUM_SAMPLES):
y, _, _ = image_processing_utils.convert_capture_to_planes(caps[n])
chart.img = image_processing_utils.normalize_img(
image_processing_utils.get_image_patch(
y, chart.xnorm, chart.ynorm, chart.wnorm, chart.hnorm))
if n == 0:
image_processing_utils.write_image(
chart.img, '%s_reprocess_fmt_%s_edge=%d.jpg' % (
os.path.join(log_path, NAME), reprocess_format, edge_mode))
edge_mode_res = caps[n]['metadata']['android.edge.mode']
sharpness_list.append(
image_processing_utils.compute_image_sharpness(chart.img))
logging.debug('Sharpness list for edge mode %d: %s',
edge_mode, str(sharpness_list))
return {'edge_mode': edge_mode_res, 'sharpness': np.mean(sharpness_list)}
class ReprocessEdgeEnhancementTest(its_base_test.ItsBaseTest):
"""Test android.edge.mode param applied when set for reprocessing requests.
Capture non-reprocess images for each edge mode and calculate their
sharpness as a baseline.
Capture reprocessed images for each supported reprocess format and edge_mode
mode. Calculate the sharpness of reprocessed images and compare them against
the sharpess of non-reprocess images.
"""
def test_reprocess_edge_enhancement(self):
logging.debug('Starting %s', NAME)
logging.debug('Edge modes: %s', str(EDGE_MODES))
with its_session_utils.ItsSession(
device_id=self.dut.serial,
camera_id=self.camera_id,
hidden_physical_id=self.hidden_physical_id) as cam:
chart_loc_arg = self.chart_loc_arg
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.read_3a(props) and
camera_properties_utils.per_frame_control(props) and
camera_properties_utils.edge_mode(props, 0) and
(camera_properties_utils.yuv_reprocess(props) or
camera_properties_utils.private_reprocess(props)))
# Load chart for scene
its_session_utils.load_scene(
cam, props, self.scene, self.tablet, self.chart_distance)
# Initialize chart class and locate chart in scene
chart = cv2_image_processing_utils.Chart(
cam, props, self.log_path, chart_loc=chart_loc_arg)
# If reprocessing is supported, ZSL edge mode must be avaiable.
assert camera_properties_utils.edge_mode(
props, EDGE_MODES['ZSL']), 'ZSL android.edge.mode not available!'
reprocess_formats = []
if camera_properties_utils.yuv_reprocess(props):
reprocess_formats.append('yuv')
if camera_properties_utils.private_reprocess(props):
reprocess_formats.append('private')
size = capture_request_utils.get_available_output_sizes('jpg', props)[0]
logging.debug('image W: %d, H: %d', size[0], size[1])
out_surface = {'width': size[0], 'height': size[1], 'format': 'jpg'}
# Get proper sensitivity, exposure time, and focus distance.
mono_camera = camera_properties_utils.mono_camera(props)
s, e, _, _, fd = cam.do_3a(get_results=True, mono_camera=mono_camera)
# Initialize plot
pylab.figure('reprocess_result')
pylab.title(NAME)
pylab.xlabel('Edge Enhance Mode')
pylab.ylabel('Sharpness')
pylab.xticks(EDGE_MODES_VALUES)
# Get the sharpness for each edge mode for regular requests
sharpness_regular = []
edge_mode_reported_regular = []
for edge_mode in EDGE_MODES.values():
# Skip unavailable modes
if not camera_properties_utils.edge_mode(props, edge_mode):
edge_mode_reported_regular.append(edge_mode)
sharpness_regular.append(0)
continue
ret = do_capture_and_determine_sharpness(
cam, edge_mode, s, e, fd, out_surface, chart, log_path)
edge_mode_reported_regular.append(ret['edge_mode'])
sharpness_regular.append(ret['sharpness'])
pylab.plot(EDGE_MODES_VALUES, sharpness_regular,
'-'+PLOT_COLORS['none']+'o', label='None')
logging.debug('Sharpness for edge modes with regular request: %s',
str(sharpness_regular))
# Get sharpness for each edge mode and reprocess format
sharpnesses_reprocess = []
edge_mode_reported_reprocess = []
for reprocess_format in reprocess_formats:
# List of sharpness
sharpnesses = []
edge_mode_reported = []
for edge_mode in range(4):
# Skip unavailable modes
if not camera_properties_utils.edge_mode(props, edge_mode):
edge_mode_reported.append(edge_mode)
sharpnesses.append(0)
continue
ret = do_capture_and_determine_sharpness(
cam, edge_mode, s, e, fd, out_surface, chart, log_path,
reprocess_format)
edge_mode_reported.append(ret['edge_mode'])
sharpnesses.append(ret['sharpness'])
sharpnesses_reprocess.append(sharpnesses)
edge_mode_reported_reprocess.append(edge_mode_reported)
# Add to plot and log results
pylab.plot(EDGE_MODES_VALUES, sharpnesses,
'-'+PLOT_COLORS[reprocess_format]+'o',
label=reprocess_format)
logging.debug('Sharpness for edge modes w/ %s reprocess fmt: %s',
reprocess_format, str(sharpnesses))
# Finalize plot
pylab.legend(numpoints=1, fancybox=True)
matplotlib.pyplot.savefig('%s_plot.png' %
os.path.join(log_path, NAME))
logging.debug('Check regular requests')
check_edge_modes(sharpness_regular)
for reprocess_format in range(len(reprocess_formats)):
logging.debug('Check reprocess format: %s', reprocess_format)
check_edge_modes(sharpnesses_reprocess[reprocess_format])
hq_div_off_reprocess = (
sharpnesses_reprocess[reprocess_format][EDGE_MODES['HQ']] /
sharpnesses_reprocess[reprocess_format][EDGE_MODES['OFF']])
hq_div_off_regular = (
sharpness_regular[EDGE_MODES['HQ']] /
sharpness_regular[EDGE_MODES['OFF']])
e_msg = 'HQ/OFF_reprocess: %.4f, HQ/OFF_reg: %.4f, RTOL: %.2f' % (
hq_div_off_reprocess, hq_div_off_regular, SHARPNESS_RTOL)
logging.debug('Verify reprocess HQ ~= reg HQ relative to OFF')
assert np.isclose(hq_div_off_reprocess, hq_div_off_regular,
SHARPNESS_RTOL), e_msg
if __name__ == '__main__':
test_runner.main()