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# 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.
"""CameraITS test to measure jitter in camera timestamps."""
import logging
import os.path
import matplotlib
from matplotlib import pylab
from mobly import test_runner
import its_base_test
import camera_properties_utils
import capture_request_utils
import its_session_utils
_NS_TO_MS = 1.0E-6
_NAME = os.path.basename(__file__).split('.')[0]
_START_FRAME = 2 # 1 frame delay to allow faster latency to 1st frame
_TEST_FPS = 30 # frames per second
# PASS/FAIL thresholds
_MIN_AVG_FRAME_DELTA = 30 # at least 30ms delta between frames
_MAX_INIT_FRAME_DELTA = 100 # no more than 100ms between first 2 frames
_MAX_VAR_FRAME_DELTA = 0.01 # variance of frame deltas
_MAX_FRAME_DELTA_JITTER = 0.3 # max ms gap from the average frame delta
class JitterTest(its_base_test.ItsBaseTest):
"""Measure jitter in camera timestamps."""
def test_jitter(self):
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)
camera_properties_utils.skip_unless(
camera_properties_utils.manual_sensor(props) and
camera_properties_utils.sensor_fusion(props))
req, fmt = capture_request_utils.get_fastest_manual_capture_settings(
props)
req['android.control.aeTargetFpsRange'] = [_TEST_FPS, _TEST_FPS]
caps = cam.do_capture([req] * 50, [fmt])
# Log the millisecond delta between the start of each exposure
tstamps = [c['metadata']['android.sensor.timestamp'] for c in caps]
if (tstamps[1]-tstamps[0])*_NS_TO_MS > _MAX_INIT_FRAME_DELTA:
raise AssertionError('Initial frame timestamp delta too great! '
f'tstamp[1]: {tstamps[1]}ms, '
f'tstamp[0]: {tstamps[0]}ms, '
f'ATOL: {_MAX_INIT_FRAME_DELTA}ms')
deltas = [
tstamps[i] - tstamps[i-1] for i in range(_START_FRAME, len(tstamps))
]
deltas_ms = [d * _NS_TO_MS for d in deltas]
avg = sum(deltas_ms) / len(deltas_ms)
var = sum([d * d for d in deltas_ms]) / len(deltas_ms) - avg * avg
range0 = min(deltas_ms) - avg
range1 = max(deltas_ms) - avg
logging.debug('Average: %s', avg)
logging.debug('Variance: %s', var)
logging.debug('Jitter range: %s to %s', range0, range1)
# Draw a plot.
pylab.plot(range(len(deltas_ms)), deltas_ms)
pylab.title(_NAME)
pylab.xlabel('frame number')
pylab.ylabel('jitter (ms)')
name = os.path.join(self.log_path, _NAME)
matplotlib.pyplot.savefig('%s_deltas.png' % (name))
# Test for pass/fail.
if avg <= _MIN_AVG_FRAME_DELTA:
raise AssertionError(f'avg: {avg:.4f}ms, TOL: {_MIN_AVG_FRAME_DELTA}ms')
if var >= _MAX_VAR_FRAME_DELTA:
raise AssertionError(f'var: {var:.4f}ms, TOL: {_MAX_VAR_FRAME_DELTA}ms')
if (abs(range0) >= _MAX_FRAME_DELTA_JITTER or
abs(range1) >= _MAX_FRAME_DELTA_JITTER):
raise AssertionError(f'range0: {range0:.4f}ms, range1: {range1:.4f}ms, '
f'TOL: {_MAX_FRAME_DELTA_JITTER}')
if __name__ == '__main__':
test_runner.main()