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+#!/usr/bin/env python
+
+"""
+tobii_argaze.py
+
+Author:
+ - Théo de la Hogue, theo.de-la-hogue@enac.fr
+
+"""
+import os
+
+from argaze.ArUcoMarkers import ArUcoTracker, ArUcoCamera
+from argaze.RegionOfInterest import *
+from argaze.TobiiGlassesPro2 import *
+
+import cv2 as cv
+import pandas
+import matplotlib.pyplot as mpyplot
+import matplotlib.patches as mpatches
+
+# tobii glasses ip address
+ip_address = '192.168.1.10'
+
+# manage export folder
+current_folder = os.path.dirname(__file__)
+export_folder = os.path.join(current_folder, '_export')
+if not os.path.exists(export_folder):
+ os.makedirs(export_folder)
+ print(f'\'_export\' folder created')
+
+# create tobii controller
+tobii_controller = TobiiController.TobiiController(ip_address, 'ArGaze', 1)
+
+# create tobii data thread
+tobii_data_thread = TobiiData.TobiiDataThread(tobii_controller)
+tobii_data_thread.start()
+
+# create tobii video thread
+tobii_video_thread = TobiiVideo.TobiiVideoThread(tobii_controller)
+tobii_video_thread.start()
+
+# create aruco camera
+aruco_camera = ArUcoCamera.ArUcoCamera()
+aruco_camera.load_calibration_file('tobii_camera.json')
+
+# create aruco tracker
+aruco_tracker = ArUcoTracker.ArUcoTracker('DICT_4X4_50', 6, aruco_camera) # aruco dictionaries, marker length (cm), camera
+
+# create ROIs 3D scene
+roi3D_scene = ROI3DScene.ROI3DScene()
+roi3D_scene.load('roi3D_scene.obj')
+
+# start tobii glasses streaming
+tobii_controller.start_streaming()
+
+# process video frames
+last_frame_time = 0
+roi2D_buffer = []
+marker_buffer = []
+
+while True:
+
+ frame, frame_width, frame_height, frame_time, pts = tobii_video_thread.read()
+
+ # draw tobii gaze
+ # TODO : sync gaze data according frame pts
+ gp_data = tobii_data_thread.read_gaze_data(pts)
+ if 'TIMESTAMP' in gp_data:
+ pointer = (int(gp_data['X'] * frame_width), int(gp_data['Y'] * frame_height))
+ cv.circle(frame, pointer, 4, (0, 255, 255), -1)
+ else:
+ pointer = (0, 0)
+
+ # track markers with pose estimation and draw them
+ aruco_tracker.track(frame)
+ aruco_tracker.draw(frame)
+
+ # project 3D scenes related to each aruco markers
+ if aruco_tracker.get_markers_number():
+
+ for (i, marker_id) in enumerate(aruco_tracker.get_markers_ids()):
+
+ # TODO : select different 3D scenes depending on aruco id
+
+ marker_rotation = aruco_tracker.get_marker_rotation(i)
+ marker_translation = aruco_tracker.get_marker_translation(i)
+
+ roi3D_scene.set_rotation(marker_rotation)
+ roi3D_scene.set_translation(marker_translation)
+
+ # DON'T APPLY CAMERA DISTORSION : it projects points which are far from the frame into it
+ # This hack isn't realistic but as the gaze will mainly focus on centered ROI, where the distorsion is low, it is acceptable.
+ roi2D_scene = roi3D_scene.project(frame, aruco_camera, False)
+
+ # check if gaze is inside 2D rois
+ roi2D_scene.inside(pointer)
+
+ # draw 2D rois
+ roi2D_scene.draw(frame)
+
+ # store roi2D into buffer
+ for roi2D in roi2D_scene:
+ roi2D['TIME'] = frame_time
+ del roi2D['VERTICES']
+ roi2D_buffer.append(roi2D)
+
+ # store marker into buffer
+ marker = {
+ 'TIME': frame_time,
+ 'ID': i,
+ 'X': marker_translation[0][0],
+ 'Y': marker_translation[0][1],
+ 'Z': marker_translation[0][2]
+ }
+ marker_buffer.append(marker)
+
+ cv.imshow(f'Live Scene', frame)
+
+ # quit on 'Esc' command
+ key = cv.waitKey(1)
+ if key == 27:
+ cv.destroyAllWindows()
+ last_frame_time = frame_time
+ break
+
+# stop tobii objects
+tobii_video_thread.stop()
+tobii_data_thread.stop()
+
+tobii_controller.stop_streaming()
+tobii_controller.close()
+
+# create a pandas DataFrame for each buffer
+ac_dataframe = pandas.DataFrame(tobii_data_thread.read_accelerometer_buffer(), columns=['TIMESTAMP', 'TIME', 'X', 'Y', 'Z'])
+gy_dataframe = pandas.DataFrame(tobii_data_thread.read_gyroscope_buffer(), columns=['TIMESTAMP', 'TIME', 'X', 'Y', 'Z'])
+gp_dataframe = pandas.DataFrame(tobii_data_thread.read_gaze_buffer(), columns=['TIMESTAMP', 'TIME', 'X', 'Y'])
+data_pts_dataframe = pandas.DataFrame(tobii_data_thread.read_pts_buffer(), columns=['TIMESTAMP', 'TIME', 'PTS'])
+video_pts_dataframe = pandas.DataFrame(tobii_video_thread.read_pts_buffer(), columns=['TIME', 'PTS'])
+roi2D_dataframe = pandas.DataFrame(roi2D_buffer, columns=['TIME', 'NAME', 'POINTER_INSIDE'])
+marker_dataframe = pandas.DataFrame(marker_buffer, columns=['TIME', 'ID', 'X', 'Y', 'Z'])
+
+# export all data frames
+ac_dataframe.to_csv(f'{export_folder}/accelerometer.csv', index=False)
+gy_dataframe.to_csv(f'{export_folder}/gyroscope.csv', index=False)
+gp_dataframe.to_csv(f'{export_folder}/gaze.csv', index=False)
+data_pts_dataframe.to_csv(f'{export_folder}/data_pts.csv', index=False)
+video_pts_dataframe.to_csv(f'{export_folder}/video_pts.csv', index=False)
+roi2D_dataframe.to_csv(f'{export_folder}/rois.csv', index=False)
+marker_dataframe.to_csv(f'{export_folder}/markers.csv', index=False)
+
+# edit figure
+figure = mpyplot.figure(figsize=(int(last_frame_time), 5))
+
+# plot gaze data
+subplot = figure.add_subplot(211)
+subplot.set_title('Gaze')
+
+subplot = gp_dataframe.plot(x='TIME', y='X', xlim=(0, last_frame_time), ax=subplot, color='#276FB6', xlabel='Time (s)', ylabel='X (normalized)', legend=False)
+subplot = gp_dataframe.plot(x='TIME', y='Y', xlim=(0, last_frame_time), ax=subplot.twinx(), color='#9427B6', xlabel='Time (s)', ylabel='Y (normalized)', legend=False)
+
+x_patch = mpatches.Patch(color='#276FB6', label='X')
+y_speed_patch = mpatches.Patch(color='#9427B6', label='Y')
+subplot.legend(handles=[x_patch, y_speed_patch], loc='upper left')
+
+
+# plot maker position data
+subplot = figure.add_subplot(212)
+subplot.set_title('Marker')
+
+subplot = marker_dataframe.plot(x='TIME', y='X', xlim=(0, last_frame_time), ax=subplot, color='#276FB6', xlabel='Time (s)', ylabel='X (cm)', legend=False)
+subplot = marker_dataframe.plot(x='TIME', y='Y', xlim=(0, last_frame_time), ax=subplot.twinx(), color='#9427B6', xlabel='Time (s)', ylabel='Y (cm)', legend=False)
+
+x_patch = mpatches.Patch(color='#276FB6', label='X')
+y_speed_patch = mpatches.Patch(color='#9427B6', label='Y')
+subplot.legend(handles=[x_patch, y_speed_patch], loc='upper left')
+
+# export figure
+mpyplot.tight_layout()
+mpyplot.savefig(f'{export_folder}/visualisation.svg')
+mpyplot.close('all') \ No newline at end of file