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#!/usr/bin/env python
"""Load and execute eyetracker pipeline.
This program is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation, either version 3 of the License, or (at your option) any later
version.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with
this program. If not, see <http://www.gnu.org/licenses/>.
"""
__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "GPLv3"
import argparse
import logging
import contextlib
from argaze import DataFeatures, ArFeatures
import cv2
# Manage arguments
parser = argparse.ArgumentParser(description=__doc__.split('-')[0])
parser.add_argument('configuration', metavar='CONFIGURATION', type=str, help='JSON configuration filepath')
parser.add_argument('-p', '--patch', metavar='PATCH', type=str, help='JSON configuration patch filepath')
parser.add_argument('-v', '--verbose', action='store_true', default=False, help='enable verbose mode to print information in console')
parser.add_argument('-m', '--mouse', action='store_true', default=False, help='use mouse pointer as gaze position')
args = parser.parse_args()
# Manage logging
logging.basicConfig(format = '%(levelname)s: %(message)s', level = logging.DEBUG if args.verbose else logging.INFO)
def main():
# Load ArGaze context
with DataFeatures.from_json(args.configuration, args.patch) as context:
if args.verbose:
print(context)
# Create a window to display context
cv2.namedWindow(context.name, cv2.WINDOW_AUTOSIZE)
# Waiting for 'ctrl+C' interruption
with contextlib.suppress(KeyboardInterrupt):
# Visualisation loop
while True:
# Display context
cv2.imshow(context.name, context.image())
# Head-monted eye tracker case: display environment frames image
if issubclass(type(context.pipeline), ArFeatures.ArCamera):
for scene_frame in context.pipeline.scene_frames():
cv2.imshow(scene_frame.name, scene_frame.image())
# Key interaction
key_pressed = cv2.waitKey(10)
# Esc: close window
if key_pressed == 27:
raise KeyboardInterrupt()
# Stop frame display
cv2.destroyAllWindows()
if __name__ == '__main__':
main()
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