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#!/usr/bin/env python
import argparse
import bisect
import os
from argaze import GazeFeatures
from argaze.TobiiGlassesPro2 import TobiiEntities
from argaze.utils import MiscFeatures
def main():
"""
Analyse Tobii segment fixations
"""
# manage arguments
parser = argparse.ArgumentParser(description=main.__doc__.split('-')[0])
parser.add_argument('-s', '--segment_path', metavar='SEGMENT_PATH', type=str, default=None, help='path to a tobii segment folder')
parser.add_argument('-d', '--dispersion_threshold', metavar='DISPERSION_THRESHOLD', type=int, default=10, help='dispersion threshold in pixel')
parser.add_argument('-t', '--duration_threshold', metavar='DURATION_THRESHOLD', type=int, default=100, help='duration threshold in millisecond')
parser.add_argument('-o', '--output', metavar='OUT', type=str, default=None, help='destination folder path (segment folder by default)')
args = parser.parse_args()
if args.segment_path != None:
# Manage destination path
if args.output != None:
if not os.path.exists(os.path.dirname(args.output)):
os.makedirs(os.path.dirname(args.output))
print(f'{os.path.dirname(args.output)} folder created')
fixations_filepath = f'{args.output}/fixations.json'
else:
fixations_filepath = f'{args.segment_path}/fixations.json'
# Load a tobii segment
tobii_segment = TobiiEntities.TobiiSegment(args.segment_path)
# Load a tobii segment video
tobii_segment_video = tobii_segment.load_video()
print(f'Video duration: {tobii_segment_video.get_duration()}, frame number: {tobii_segment_video.get_frame_number()}, width: {tobii_segment_video.get_width()}, height: {tobii_segment_video.get_height()}')
# Load a tobii segment data
tobii_segment_data = tobii_segment.load_data()
print(f'Data keys: {tobii_segment_data.keys()}')
# Access to timestamped gaze position data buffer
tobii_ts_gaze_positions = tobii_segment_data.gidx_l_gp
print(f'{len(tobii_ts_gaze_positions)} gaze positions loaded')
# Format tobii gaze data into generic gaze data and store them using millisecond unit timestamp
generic_ts_gaze_positions = GazeFeatures.TimeStampedGazePositions()
for ts, tobii_data in tobii_ts_gaze_positions.items():
generic_data = GazeFeatures.GazePosition(tobii_data.gp[0] * tobii_segment_video.get_width(), tobii_data.gp[1] * tobii_segment_video.get_height())
generic_ts_gaze_positions[ts/1000] = generic_data
print(f'Dispersion threshold: {args.dispersion_threshold}')
print(f'Duration threshold: {args.duration_threshold}')
fixation_analyser = GazeFeatures.DispersionBasedFixationIdentifier(generic_ts_gaze_positions, args.dispersion_threshold, args.duration_threshold)
fixations = GazeFeatures.TimeStampedFixations()
# Start fixation identification
MiscFeatures.printProgressBar(0, int(tobii_segment_video.get_duration()*1000), prefix = 'Progress:', suffix = 'Complete', length = 100)
for ts, item in fixation_analyser:
if item == None:
continue
if item.get_type() == 'Fixation':
fixations[ts] = item
MiscFeatures.printProgressBar(ts, int(tobii_segment_video.get_duration()*1000), prefix = 'Progress:', suffix = 'Complete', length = 100)
print(f'\n{len(fixations)} fixations found')
# Export fixations analysis results
fixations.export_as_json(fixations_filepath)
print(f'Fixations saved into {fixations_filepath}')
if __name__ == '__main__':
main()
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