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# 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 preview matches video output during video zoom."""
import logging
import math
import multiprocessing
import os
import time
import cv2
from mobly import test_runner
import numpy as np
import its_base_test
import camera_properties_utils
import capture_request_utils
import image_processing_utils
import its_session_utils
import opencv_processing_utils
import video_processing_utils
_CIRCLE_AR_RTOL = 0.15 # contour width vs height (aspect ratio)
_CIRCLE_COLOR = 0 # [0: black, 255: white]
_CIRCLE_R = 2
_CIRCLE_X = 0
_CIRCLE_Y = 1
_CIRCLISH_RTOL = 0.15 # contour area vs ideal circle area pi*((w+h)/4)**2
_LENS_FACING_FRONT = 0
_LINE_COLOR = (255, 0, 0) # red
_MAX_STR = 'max'
_MIN_STR = 'min'
_MIN_AREA_RATIO = 0.00015 # based on 2000/(4000x3000) pixels
_MIN_CIRCLE_PTS = 25
_MIN_ZOOM_CHART_SCALING = 0.7
_MIN_SIZE = 640*480 # VGA
_NAME = os.path.splitext(os.path.basename(__file__))[0]
_OFFSET_TOL = 5 # pixels
_RADIUS_RTOL = 0.1 # 10% tolerance Video/Preview circle size
_RECORDING_DURATION = 2 # seconds
_ZOOM_COMP_MAX_THRESH = 1.15
_ZOOM_MIN_THRESH = 2.0
_ZOOM_RATIO = 2
def _extract_key_frame_from_recording(log_path, file_name):
"""Extract key frames from recordings.
Args:
log_path: str; file location
file_name: str file name for saved video
Returns:
dictionary of images
"""
key_frame_files = []
key_frame_files = (
video_processing_utils.extract_key_frames_from_video(
log_path, file_name)
)
logging.debug('key_frame_files: %s', key_frame_files)
# Get the key frame file to process.
last_key_frame_file = (
video_processing_utils.get_key_frame_to_process(
key_frame_files)
)
logging.debug('last_key_frame: %s', last_key_frame_file)
last_key_frame_path = os.path.join(log_path, last_key_frame_file)
# Convert lastKeyFrame to numpy array
np_image = image_processing_utils.convert_image_to_numpy_array(
last_key_frame_path)
logging.debug('numpy image shape: %s', np_image.shape)
return np_image
class PreviewVideoZoomTest(its_base_test.ItsBaseTest):
"""Tests if preview matches video output when zooming.
Preview and video are recorded while do_3a() iterate through
different cameras with minimal zoom to zoom factor 1.5x.
The recorded preview and video output are processed to dump all
of the frames to PNG files. Camera movement in zoom is extracted
from frames by determining if the size of the circle being recorded
increases as zoom factor increases. Test is a PASS if both recordings
match in zoom factors.
"""
def test_preview_video_zoom(self):
video_test_data = {}
preview_test_data = {}
log_path = self.log_path
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)
debug = self.debug_mode
def _do_preview_recording(cam, resolution, zoom_ratio):
"""Record a new set of data from the device.
Captures camera preview frames while the camera is zooming.
Args:
cam: camera object
resolution: str; preview resolution (ex. '1920x1080')
zoom_ratio: float; zoom ratio
Returns:
preview recording object as described by cam.do_basic_recording
"""
# Record previews
preview_recording_obj = cam.do_preview_recording(
resolution, _RECORDING_DURATION, False, zoom_ratio=zoom_ratio)
logging.debug('Preview_recording_obj: %s', preview_recording_obj)
logging.debug('Recorded output path for preview: %s',
preview_recording_obj['recordedOutputPath'])
# Grab and rename the preview recordings from the save location on DUT
self.dut.adb.pull(
[preview_recording_obj['recordedOutputPath'], log_path])
preview_file_name = (
preview_recording_obj['recordedOutputPath'].split('/')[-1])
logging.debug('recorded preview name: %s', preview_file_name)
return preview_file_name
def _do_video_recording(cam, profile_id, quality, zoom_ratio):
"""Record a new set of data from the device.
Captures camera video frames while the camera is zooming per zoom_ratio.
Args:
cam: camera object
profile_id: int; profile id corresponding to the quality level
quality: str; video recording quality such as High, Low, 480P
zoom_ratio: float; zoom ratio.
Returns:
video recording object as described by cam.do_basic_recording
"""
# Record videos
video_recording_obj = cam.do_basic_recording(
profile_id, quality, _RECORDING_DURATION, 0, zoom_ratio=zoom_ratio)
logging.debug('Video_recording_obj: %s', video_recording_obj)
logging.debug('Recorded output path for video: %s',
video_recording_obj['recordedOutputPath'])
# Grab and rename the video recordings from the save location on DUT
self.dut.adb.pull(
[video_recording_obj['recordedOutputPath'], log_path])
video_file_name = (
video_recording_obj['recordedOutputPath'].split('/')[-1])
logging.debug('recorded video name: %s', video_file_name)
return video_file_name
# Find zoom range
z_range = props['android.control.zoomRatioRange']
# Skip unless camera has zoom ability
vendor_api_level = its_session_utils.get_vendor_api_level(
self.dut.serial)
camera_properties_utils.skip_unless(
z_range and vendor_api_level >= its_session_utils.ANDROID14_API_LEVEL
)
logging.debug('Testing zoomRatioRange: %s', str(z_range))
# Determine zoom factors
z_min = z_range[0]
camera_properties_utils.skip_unless(
float(z_range[-1]) >= z_min * _ZOOM_MIN_THRESH)
zoom_ratios_to_be_tested = [z_min]
if z_min < 1.0:
zoom_ratios_to_be_tested.append(float(_ZOOM_RATIO))
else:
zoom_ratios_to_be_tested.append(float(z_min * 2))
logging.debug('Testing zoom ratios: %s', str(zoom_ratios_to_be_tested))
# Load chart for scene
if z_min > _MIN_ZOOM_CHART_SCALING:
its_session_utils.load_scene(
cam, props, self.scene, self.tablet, self.chart_distance)
else:
its_session_utils.load_scene(
cam, props, self.scene, self.tablet,
its_session_utils.CHART_DISTANCE_NO_SCALING)
# Find supported preview/video sizes, and their smallest and common size
supported_preview_sizes = cam.get_supported_preview_sizes(self.camera_id)
logging.debug('supported_preview_sizes: %s', supported_preview_sizes)
supported_video_qualities = cam.get_supported_video_qualities(
self.camera_id)
logging.debug(
'Supported video profiles and ID: %s', supported_video_qualities)
common_size, common_video_quality = (
video_processing_utils.get_lowest_preview_video_size(
supported_preview_sizes, supported_video_qualities, _MIN_SIZE))
# Start video recording over minZoom and 2x Zoom
for quality_profile_id_pair in supported_video_qualities:
quality = quality_profile_id_pair.split(':')[0]
profile_id = quality_profile_id_pair.split(':')[-1]
if quality == common_video_quality:
for i, z in enumerate(zoom_ratios_to_be_tested):
logging.debug('Testing video recording for quality: %s', quality)
req = capture_request_utils.auto_capture_request()
req['android.control.zoomRatio'] = z
cam.do_3a(zoom_ratio=z)
logging.debug('Zoom ratio: %.2f', z)
# Determine focal length of camera through capture
cap = cam.do_capture(
req, {'format': 'yuv'})
cap_fl = cap['metadata']['android.lens.focalLength']
logging.debug('Camera focal length: %.2f', cap_fl)
# Determine width and height of video
size = common_size.split('x')
width = int(size[0])
height = int(size[1])
# Start video recording
video_file_name = _do_video_recording(
cam, profile_id, quality, zoom_ratio=z)
# Get key frames from the video recording
video_img = _extract_key_frame_from_recording(
log_path, video_file_name)
# Find the center circle in video img
video_img_name = (f'Video_zoomRatio_{z}_{quality}_circle.png')
circle = opencv_processing_utils.find_center_circle(
video_img, video_img_name, _CIRCLE_COLOR,
circle_ar_rtol=_CIRCLE_AR_RTOL, circlish_rtol=_CIRCLISH_RTOL,
min_area=_MIN_AREA_RATIO * width * height * z * z,
min_circle_pts=_MIN_CIRCLE_PTS, debug=debug)
logging.debug('Recorded video name: %s', video_file_name)
video_test_data[i] = {'z': z, 'circle': circle}
# Start preview recording over minZoom and maxZoom
for size in supported_preview_sizes:
if size == common_size:
for i, z in enumerate(zoom_ratios_to_be_tested):
cam.do_3a(zoom_ratio=z)
preview_file_name = _do_preview_recording(
cam, size, zoom_ratio=z)
# Define width and height from size
width = int(size.split('x')[0])
height = int(size.split('x')[1])
# Get key frames from the preview recording
preview_img = _extract_key_frame_from_recording(
log_path, preview_file_name)
# If testing front camera, mirror preview image
# Opencv expects a numpy array but np.flip generates a 'view' which
# doesn't work with opencv. ndarray.copy forces copy instead of view
if props['android.lens.facing'] == _LENS_FACING_FRONT:
# Preview are flipped on device's natural orientation
# so for sensor orientation 90 or 270, it is up or down
# Sensor orientation 0 or 180 is left or right
if props['android.sensor.orientation'] in (90, 270):
preview_img = np.ndarray.copy(np.flipud(preview_img))
logging.debug(
'Found sensor orientation %d, flipping up down',
props['android.sensor.orientation'])
else:
preview_img = np.ndarray.copy(np.fliplr(preview_img))
logging.debug(
'Found sensor orientation %d, flipping left right',
props['android.sensor.orientation'])
# Find the center circle in preview img
preview_img_name = (f'Preview_zoomRatio_{z}_{size}_circle.png')
circle = opencv_processing_utils.find_center_circle(
preview_img, preview_img_name, _CIRCLE_COLOR,
circle_ar_rtol=_CIRCLE_AR_RTOL, circlish_rtol=_CIRCLISH_RTOL,
min_area=_MIN_AREA_RATIO * width * height * z * z,
min_circle_pts=_MIN_CIRCLE_PTS, debug=debug)
if opencv_processing_utils.is_circle_cropped(
circle, (width, height)):
logging.debug('Zoom %.2f is too large!', z)
preview_test_data[i] = {'z': z, 'circle': circle}
# compare size and center of preview's circle to video's circle
preview_radius = {}
video_radius = {}
z_idx = {}
zoom_factor = {}
preview_radius[_MIN_STR] = (preview_test_data[0]['circle'][_CIRCLE_R])
video_radius[_MIN_STR] = (video_test_data[0]['circle'][_CIRCLE_R])
preview_radius[_MAX_STR] = (preview_test_data[1]['circle'][_CIRCLE_R])
video_radius[_MAX_STR] = (video_test_data[1]['circle'][_CIRCLE_R])
z_idx[_MIN_STR] = (
preview_radius[_MIN_STR] / video_radius[_MIN_STR])
z_idx[_MAX_STR] = (
preview_radius[_MAX_STR] / video_radius[_MAX_STR])
z_comparison = z_idx[_MAX_STR] / z_idx[_MIN_STR]
zoom_factor[_MIN_STR] = preview_test_data[0]['z']
zoom_factor[_MAX_STR] = preview_test_data[1]['z']
# compare preview circle's center with video circle's center
preview_circle_x = preview_test_data[1]['circle'][_CIRCLE_X]
video_circle_x = video_test_data[1]['circle'][_CIRCLE_X]
preview_circle_y = preview_test_data[1]['circle'][_CIRCLE_Y]
video_circle_y = video_test_data[1]['circle'][_CIRCLE_Y]
circles_offset_x = math.isclose(preview_circle_x, video_circle_x,
abs_tol=_OFFSET_TOL)
circles_offset_y = math.isclose(preview_circle_y, video_circle_y,
abs_tol=_OFFSET_TOL)
logging.debug('Preview circle x: %.2f, Video circle x: %.2f'
' Preview circle y: %.2f, Video circle y: %.2f',
preview_circle_x, video_circle_x,
preview_circle_y, video_circle_y)
logging.debug('Preview circle r: %.2f, Preview circle r zoom: %.2f'
' Video circle r: %.2f, Video circle r zoom: %.2f'
' centers offset x: %s, centers offset y: %s',
preview_radius[_MIN_STR], preview_radius[_MAX_STR],
video_radius[_MIN_STR], video_radius[_MAX_STR],
circles_offset_x, circles_offset_y)
if not circles_offset_x or not circles_offset_y:
raise AssertionError('Preview and video output do not match!'
' Preview and video circles offset is too great')
# check zoom ratio by size of circles before and after zoom
for radius_ratio in z_idx.values():
if not math.isclose(radius_ratio, 1, rel_tol=_RADIUS_RTOL):
raise AssertionError('Preview and video output do not match!'
' Radius ratio: %.2f', radius_ratio)
if z_comparison > _ZOOM_COMP_MAX_THRESH:
raise AssertionError('Preview and video output do not match!'
' Zoom ratio difference: %.2f', z_comparison)
if __name__ == '__main__':
test_runner.main()
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