blob: 96b4181a3f72e0767ea5367f7ca4589001a06f27 [file] [log] [blame]
# Copyright 2023 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.
"""Verify zoom ratio scales circle sizes correctly if settings override zoom is set."""
import logging
import os.path
import camera_properties_utils
import capture_request_utils
import image_processing_utils
import its_base_test
import its_session_utils
from mobly import test_runner
import numpy as np
import opencv_processing_utils
import zoom_capture_utils
_CIRCLE_COLOR = 0 # [0: black, 255: white]
_CIRCLE_AR_RTOL = 0.15 # contour width vs height (aspect ratio)
_CIRCLISH_RTOL = 0.05 # contour area vs ideal circle area pi*((w+h)/4)**2
_MIN_AREA_RATIO = 0.00015 # based on 2000/(4000x3000) pixels
_MIN_CIRCLE_PTS = 25
_NAME = os.path.splitext(os.path.basename(__file__))[0]
_NUM_STEPS = 10
_ZOOM_MIN_THRESH = 2.0
class LowLatencyZoomTest(its_base_test.ItsBaseTest):
"""Test the camera low latency zoom behavior.
On supported devices, set control.settingsOverride to ZOOM
to enable low latency zoom and do a burst capture of N frames.
Make sure that the zoomRatio in the capture result is reflected
in the captured image.
"""
def test_low_latency_zoom(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.zoom_ratio_range(props) and
camera_properties_utils.low_latency_zoom(props))
# Load chart for scene
its_session_utils.load_scene(
cam, props, self.scene, self.tablet, self.chart_distance)
z_range = props['android.control.zoomRatioRange']
logging.debug('testing zoomRatioRange: %s', str(z_range))
debug = self.debug_mode
z_min, z_max = float(z_range[0]), float(z_range[1])
camera_properties_utils.skip_unless(z_max >= z_min * _ZOOM_MIN_THRESH)
z_list = np.arange(z_min, z_max, float(z_max - z_min) / (_NUM_STEPS - 1))
z_list = np.append(z_list, z_max)
# set TOLs based on camera and test rig params
if camera_properties_utils.logical_multi_camera(props):
test_tols, size = zoom_capture_utils.get_test_tols_and_cap_size(
cam, props, self.chart_distance, debug)
else:
test_tols = {}
fls = props['android.lens.info.availableFocalLengths']
for fl in fls:
test_tols[fl] = (zoom_capture_utils.RADIUS_RTOL,
zoom_capture_utils.OFFSET_RTOL)
yuv_size = capture_request_utils.get_largest_yuv_format(props)
size = [yuv_size['width'], yuv_size['height']]
logging.debug('capture size: %s', str(size))
logging.debug('test TOLs: %s', str(test_tols))
# do auto captures over zoom range and find circles with cv2
img_name_stem = f'{os.path.join(self.log_path, _NAME)}'
logging.debug('Using auto capture request')
cam.do_3a()
test_failed = False
fmt = 'yuv'
test_data = {}
reqs = []
req = capture_request_utils.auto_capture_request()
req['android.control.settingsOverride'] = camera_properties_utils.SETTINGS_OVERRIDE_ZOOM
for z in z_list:
logging.debug('zoom ratio: %.2f', z)
req_for_zoom = req.copy()
req_for_zoom['android.control.zoomRatio'] = z
reqs.append(req_for_zoom)
# take captures at different zoom ratios
caps = cam.do_capture(
reqs, {'format': fmt, 'width': size[0], 'height': size[1]})
# Check low latency zoom outputs match result metadata
for i, cap in enumerate(caps):
z_result = cap['metadata']['android.control.zoomRatio']
scaled_zoom = min(z_list[i], z_result)
logging.debug('zoom ratio in result: %.2f', z_result)
img = image_processing_utils.convert_capture_to_rgb_image(
cap, props=props)
img_name = f'{img_name_stem}_{fmt}_{i}_{round(z_result, 2)}.jpg'
image_processing_utils.write_image(img, img_name)
# determine radius tolerance of capture
cap_fl = cap['metadata']['android.lens.focalLength']
radius_tol, offset_tol = test_tols[cap_fl]
# convert [0, 1] image to [0, 255] and cast as uint8
img = image_processing_utils.convert_image_to_uint8(img)
# Find the center circle in img
try:
circle = opencv_processing_utils.find_center_circle(
img, img_name, _CIRCLE_COLOR, circle_ar_rtol=_CIRCLE_AR_RTOL,
circlish_rtol=_CIRCLISH_RTOL,
min_area=_MIN_AREA_RATIO*size[0]*size[1]*scaled_zoom*scaled_zoom,
min_circle_pts=_MIN_CIRCLE_PTS, debug=debug)
if opencv_processing_utils.is_circle_cropped(circle, size):
logging.debug('zoom %.2f is too large! Skip further captures',
z_result)
break
except AssertionError as e:
if z_result/z_list[0] >= zoom_capture_utils.ZOOM_MAX_THRESH:
break
else:
raise AssertionError(
'No circle detected for zoom ratio <= '
f'{zoom_capture_utils.ZOOM_MAX_THRESH}. '
'Take pictures according to instructions carefully!') from e
test_data[i] = {'z': z_result, 'circle': circle, 'r_tol': radius_tol,
'o_tol': offset_tol, 'fl': cap_fl}
if not zoom_capture_utils.verify_zoom_results(
test_data, size, z_max, z_min):
test_failed = True
if test_failed:
raise AssertionError(f'{_NAME} failed! Check test_log.DEBUG for errors')
if __name__ == '__main__':
test_runner.main()