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authorThéo de la Hogue2023-06-19 16:52:21 +0200
committerThéo de la Hogue2023-06-19 16:52:21 +0200
commit3e9944868b1680b66216f373423c8eb7cdcfc31d (patch)
tree35ebced1ecd46e2c90b07c0a7ae0eb14bf87b957
parent9bd68ef233a1d84ae5e1e3609bd7bfd0e463aa41 (diff)
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Adding a new utils script to export aruco scene from detected markers.
-rw-r--r--docs/user_guide/utils/ready-made_scripts.md8
-rw-r--r--src/argaze/utils/aruco_markers_scene_export.py178
2 files changed, 186 insertions, 0 deletions
diff --git a/docs/user_guide/utils/ready-made_scripts.md b/docs/user_guide/utils/ready-made_scripts.md
index 4ab8b52..035d697 100644
--- a/docs/user_guide/utils/ready-made_scripts.md
+++ b/docs/user_guide/utils/ready-made_scripts.md
@@ -33,3 +33,11 @@ python ./src/argaze/utils/camera_calibrate.py 7 5 5 3 DICT_APRILTAG_16h5 -d DEVI
!!! note
Use **A3_DICT_APRILTAG_16h5_3cm_35cmx25cm.pdf** file located in *./src/argaze/ArUcoMarkers/utils/* folder ready to be printed on A3 paper sheet.
+
+## ArUco scene exporter
+
+Load a MOVIE with ArUco markers inside and select a frame into it, detect ArUco markers belonging to DICT_APRILTAG_16h5 dictionary with 5cm size into the selected frame thanks to given OPTIC_PARAMETERS and DETECTOR_PARAMETERS then, export detected ArUco markers scene as .obj file into an *./src/argaze/utils/_export/scenes* folder.
+
+```shell
+python ./src/argaze/utils/aruco_markers_scene_export.py MOVIE DICT_APRILTAG_16h5 5 OPTIC_PARAMETERS DETECTOR_PARAMETERS -o ./src/argaze/utils/_export/scenes
+``` \ No newline at end of file
diff --git a/src/argaze/utils/aruco_markers_scene_export.py b/src/argaze/utils/aruco_markers_scene_export.py
new file mode 100644
index 0000000..8045d24
--- /dev/null
+++ b/src/argaze/utils/aruco_markers_scene_export.py
@@ -0,0 +1,178 @@
+#!/usr/bin/env python
+
+""" """
+
+__author__ = "Théo de la Hogue"
+__credits__ = []
+__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
+__license__ = "BSD"
+
+import argparse
+import time
+import itertools
+
+from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoOpticCalibrator, ArUcoDetector, ArUcoScene
+from argaze.utils import MiscFeatures
+
+import cv2
+import numpy
+
+def main():
+ """
+ Load a movie with ArUco markers inside and select a frame into it, detect ArUco markers belonging to a given dictionary and size into the selected frame thanks to given optic parameters and detector parameters then, export detected ArUco scene as .obj file.
+ """
+
+ # 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='ArUco dictionary to detect')
+ parser.add_argument('marker_size', metavar='MARKER_SIZE', type=int, default=3, help='marker size in cm')
+ parser.add_argument('optic_parameters', metavar='OPTIC_PARAMETERS', type=str, default=None, help='Optic parameters from camera calibration process')
+ parser.add_argument('detector_parameters', metavar='DETECTOR_PARAMETERS', type=str, default=None, help='ArUco detector parameters')
+
+ parser.add_argument('-s','--start', metavar='START', type=float, default=0., help='start time in second')
+ parser.add_argument('-o', '--output', metavar='OUT', type=str, default='.', help='export scene folder path')
+ args = parser.parse_args()
+
+ # Load movie
+ video_capture = cv2.VideoCapture(args.movie)
+
+ video_fps = video_capture.get(cv2.CAP_PROP_FPS)
+ frame_width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
+ frame_height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
+
+ # Load ArUco dictionary
+ aruco_dictionary = ArUcoMarkersDictionary.ArUcoMarkersDictionary(args.dictionary)
+
+ # Load optic parameters
+ optic_parameters = ArUcoOpticCalibrator.OpticParameters.from_json(args.optic_parameters)
+
+ # Load detector parameters
+ detector_parameters = ArUcoDetector.DetectorParameters.from_json(args.detector_parameters)
+
+ # Create ArUco detector
+ aruco_detector = ArUcoDetector.ArUcoDetector(dictionary=aruco_dictionary, marker_size=args.marker_size, optic_parameters=optic_parameters, parameters=detector_parameters)
+
+ # Create empty ArUco scene
+ aruco_scene = None
+
+ # Create a window to display AR environment
+ window_name = "Export ArUco scene"
+ cv2.namedWindow(window_name, cv2.WINDOW_AUTOSIZE)
+
+ # Enable exit signal handler
+ exit = MiscFeatures.ExitSignalHandler()
+
+ # Init frame selection
+ current_frame_index = -1
+ _, current_frame = video_capture.read()
+ next_frame_index = int(args.start * video_fps)
+ refresh = False
+
+ # Hide help
+ draw_help = False
+
+ while not exit.status():
+
+ # Select a new frame and detect markers once
+ if next_frame_index != current_frame_index or refresh:
+
+ video_capture.set(cv2.CAP_PROP_POS_FRAMES, next_frame_index)
+
+ success, video_frame = video_capture.read()
+
+ if success:
+
+ # Refresh once
+ refresh = False
+
+ current_frame_index = video_capture.get(cv2.CAP_PROP_POS_FRAMES) - 1
+ current_frame_time = video_capture.get(cv2.CAP_PROP_POS_MSEC)
+
+ # Detect markers
+ aruco_detector.detect_markers(video_frame)
+
+ # Estimate markers pose
+ aruco_detector.estimate_markers_pose()
+
+ # Build aruco scene from detected markers
+ aruco_scene = ArUcoScene.ArUcoScene(args.marker_size, aruco_dictionary, aruco_detector.detected_markers)
+
+ print(aruco_scene)
+
+ # Write scene detected markers
+ cv2.putText(video_frame, f'{list(aruco_detector.detected_markers.keys())}', (20, frame_height-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
+
+ # Write timing
+ cv2.putText(video_frame, f'Time: {int(current_frame_time)} ms', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
+
+ # Copy frame
+ current_frame = video_frame.copy()
+
+ # Keep last frame
+ else:
+
+ video_frame = current_frame.copy()
+
+ # Draw detected markers
+ aruco_detector.draw_detected_markers(video_frame)
+
+ # Write documentation
+ cv2.putText(video_frame, f'Press \'h\' for help', (950, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
+
+ if draw_help:
+
+ cv2.rectangle(video_frame, (0, 50), (500, 300), (127, 127, 127), -1)
+ cv2.putText(video_frame, f'> Left arrow: previous frame', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
+ cv2.putText(video_frame, f'> Right arrow: next frame', (20, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
+ cv2.putText(video_frame, f'> Ctrl+s: export ArUco scene', (20, 160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA)
+
+ key_pressed = cv2.waitKey(10)
+
+ #if key_pressed != -1:
+ # print(key_pressed)
+
+ # Select previous frame with left arrow
+ if key_pressed == 2:
+ next_frame_index -= 1
+
+ # Select next frame with right arrow
+ if key_pressed == 3:
+ next_frame_index += 1
+
+ # Clip frame index
+ if next_frame_index < 0:
+ next_frame_index = 0
+
+ # Switch help mode with h key
+ if key_pressed == 104:
+ draw_help = not draw_help
+
+ # Save selected marker edition using 'Ctrl + s'
+ if key_pressed == 19:
+
+ if aruco_scene:
+
+ aruco_scene.to_obj(f'{args.output}/{int(current_frame_time)}-aruco_scene.obj')
+ print(f'ArUco scene saved into {args.output}')
+
+ else:
+
+ print(f'No ArUco scene to export')
+
+ # Close window using 'Esc' key
+ if key_pressed == 27:
+ break
+
+ # Display video
+ cv2.imshow(window_name, video_frame)
+
+ # Close movie capture
+ video_capture.release()
+
+ # Stop frame display
+ cv2.destroyAllWindows()
+
+if __name__ == '__main__':
+
+ main() \ No newline at end of file