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-rw-r--r--src/argaze/utils/aruco_marker_group_export.py226
1 files changed, 0 insertions, 226 deletions
diff --git a/src/argaze/utils/aruco_marker_group_export.py b/src/argaze/utils/aruco_marker_group_export.py
deleted file mode 100644
index 47aba86..0000000
--- a/src/argaze/utils/aruco_marker_group_export.py
+++ /dev/null
@@ -1,226 +0,0 @@
-#!/usr/bin/env python
-
-""" """
-
-"""
-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 <https://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 contextlib
-
-import cv2
-
-from argaze import DataFeatures
-from argaze.ArUcoMarker import ArUcoDetector, ArUcoOpticCalibrator, ArUcoMarkerGroup
-from argaze.utils import UtilsFeatures
-
-
-def main():
- """
- Detect DICTIONARY and SIZE ArUco markers inside a MOVIE frame then, export detected ArUco markers group as .obj file into an OUTPUT folder.
- """
-
- # Manage arguments
- parser = argparse.ArgumentParser(description=main.__doc__.split('-')[0])
- parser.add_argument('movie', metavar='MOVIE', type=str, default=None, help='movie path')
- parser.add_argument('dictionary', metavar='DICTIONARY', type=str, default=None, help='expected ArUco markers dictionary')
- parser.add_argument('size', metavar='SIZE', type=float, default=None, help='expected ArUco markers size (in cm)')
-
- parser.add_argument('-p', '--parameters', metavar='PARAMETERS', type=str, default=None, help='ArUco detector parameters file')
- parser.add_argument('-op', '--optic_parameters', metavar='OPTIC_PARAMETERS', type=str, default=None, help='ArUco detector optic parameters file')
-
- parser.add_argument('-s', '--start', metavar='START', type=float, default=0., help='start time in second')
- parser.add_argument('-o', '--output', metavar='OUTPUT', type=str, default='.', help='export folder path')
- parser.add_argument('-v', '--verbose', action='store_true', default=False,
- help='enable verbose mode to print information in console')
-
- args = parser.parse_args()
-
- # Load movie
- video_capture = cv2.VideoCapture(args.movie)
-
- video_fps = video_capture.get(cv2.CAP_PROP_FPS)
- image_width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
- image_height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
-
- # Edit ArUco detector configuration
- configuration = {
- "dictionary": args.dictionary
- }
-
- if args.parameters:
- configuration["parameters"] = args.parameters
-
- if args.optic_parameters:
- configuration["optic_parameters"] = args.optic_parameters
-
- # Load ArUco detector configuration
- aruco_detector = DataFeatures.from_dict(ArUcoDetector.ArUcoDetector, configuration)
-
- # Create default optic parameters adapted to frame size
- if aruco_detector.optic_parameters is None:
-
- # Note: The choice of 1000 for default focal length should be discussed...
- aruco_detector.optic_parameters = ArUcoOpticCalibrator.OpticParameters(rms=-1, dimensions=(image_width, image_height), K=ArUcoOpticCalibrator.K0(focal_length=(1000., 1000.), width=image_width, height=image_height))
-
- if args.verbose:
- print(aruco_detector)
-
- # Create empty ArUco scene
- aruco_markers_group = None
-
- # Edit draw parameters
- draw_parameters = {
- "color": [255, 255, 255],
- "draw_axes": {
- "thickness": 4
- }
- }
-
- # Create a window
- cv2.namedWindow("Export detected ArUco markers", cv2.WINDOW_AUTOSIZE)
-
- # Init image selection
- current_image_index = -1
- _, current_image = video_capture.read()
- next_image_index = int(args.start * video_fps)
- refresh = False
-
- # Waiting for 'ctrl+C' interruption
- with contextlib.suppress(KeyboardInterrupt):
-
- while True:
-
- # Select a new image and detect markers once
- if next_image_index != current_image_index or refresh:
-
- video_capture.set(cv2.CAP_PROP_POS_FRAMES, next_image_index)
-
- success, video_image = video_capture.read()
-
- video_height, video_width, _ = video_image.shape
-
- if success:
-
- # Refresh once
- refresh = False
-
- current_image_index = video_capture.get(cv2.CAP_PROP_POS_FRAMES) - 1
- current_image_time = video_capture.get(cv2.CAP_PROP_POS_MSEC)
-
- # Timestamp image
- video_image = DataFeatures.TimestampedImage(video_image, timestamp=current_image_time)
-
- try:
-
- # Detect and project AR features
- aruco_detector.detect_markers(video_image)
-
- # Estimate all detected markers pose
- aruco_detector.estimate_markers_pose(args.size)
-
- # Build aruco scene from detected markers
- aruco_markers_group = ArUcoMarkerGroup.ArUcoMarkerGroup(dictionary=aruco_detector.dictionary, places=aruco_detector.detected_markers())
-
- # Detection succeeded
- exception = None
-
- # Write errors
- except Exception as e:
-
- aruco_markers_group = None
-
- exception = e
-
- # Draw detected markers
- aruco_detector.draw_detected_markers(video_image, draw_parameters)
-
- # Write detected markers
- cv2.putText(video_image, f'Detecting markers {list(aruco_detector.detected_markers().keys())}', (20, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-
- # Write timing
- cv2.putText(video_image, f'Frame at {int(current_image_time)}ms', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
-
- # Write exception
- if exception is not None:
- cv2.putText(video_image, f'error: {exception}', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
- # Write documentation
- cv2.putText(video_image, f'<- previous image', (video_width - 500, video_height - 160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
- cv2.putText(video_image, f'-> next image', (video_width - 500, video_height - 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
- cv2.putText(video_image, f'r: reload config', (video_width - 500, video_height - 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
- cv2.putText(video_image, f'Ctrl+s: export ArUco markers', (video_width - 500, video_height - 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
-
- # Copy image
- current_image = video_image.copy()
-
- # Keep last image
- else:
-
- video_image = current_image.copy()
-
- key_pressed = cv2.waitKey(10)
-
- #if key_pressed != -1:
- # print(key_pressed)
-
- # Select previous image with left arrow
- if key_pressed == 2:
- next_image_index -= 1
-
- # Select next image with right arrow
- if key_pressed == 3:
- next_image_index += 1
-
- # Clip image index
- if next_image_index < 0:
- next_image_index = 0
-
- # r: reload configuration
- if key_pressed == 114:
- aruco_detector = DataFeatures.from_dict(ArUcoDetector.ArUcoDetector, configuration)
- refresh = True
- print('Configuration reloaded')
-
- # Save selected marker edition using 'Ctrl + s'
- if key_pressed == 19:
-
- if aruco_markers_group:
-
- aruco_markers_group.to_obj(f'{args.output}/{int(current_image_time)}-aruco_markers_group.obj')
- print(f'ArUco markers saved into {args.output}')
-
- else:
-
- print(f'No ArUco markers to export')
-
- # Close window using 'Esc' key
- if key_pressed == 27:
- break
-
- # Display video
- cv2.imshow(aruco_detector.name, video_image)
-
- # Close movie capture
- video_capture.release()
-
- # Stop image display
- cv2.destroyAllWindows()
-
-
-if __name__ == '__main__':
- main()