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""" """
"""
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 logging
from argaze import DataFeatures, GazeFeatures
from argaze.utils import UtilsFeatures
import pandas
class ScanPathAnalysisPlotter(DataFeatures.PipelineStepObject):
@DataFeatures.PipelineStepInit
def __init__(self, **kwargs):
self.__ts_metrics = []
def on_look(self, timestamp, frame, exception):
"""Plot frame scan path metrics."""
if frame.is_analysis_available():
analysis = frame.analysis()
metrics = {
"Timestamp (ms)": timestamp,
"Path duration (ms)": analysis['argaze.GazeAnalysis.Basic.ScanPathAnalyzer'].path_duration,
"Number of steps": analysis['argaze.GazeAnalysis.Basic.ScanPathAnalyzer'].steps_number,
"K Coefficient": analysis['argaze.GazeAnalysis.KCoefficient.ScanPathAnalyzer'].K,
"Nearest Neighbor Index": analysis['argaze.GazeAnalysis.NearestNeighborIndex.ScanPathAnalyzer'].nearest_neighbor_index,
"Explore / Exploit ratio": analysis['argaze.GazeAnalysis.ExploreExploitRatio.ScanPathAnalyzer'].explore_exploit_ratio
}
self.__ts_metrics.append(metrics)
# Convert into pandas.DataFrame
dataframe = pandas.DataFrame(self.__ts_metrics)
dataframe.set_index("Timestamp (ms)", inplace=True)
# DEBUG
#print(dataframe)
dataframe.plot(title="Scan path metrics", backend='argaze')
'''
class AOIScanPathAnalysisPlotter(UtilsFeatures.FileWriter):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.header = "Timestamp (ms)", "Duration (ms)", "Step", "K", "LZC"
logging.info('%s writes into %s', DataFeatures.get_class_path(self), self.path)
def on_look(self, timestamp, layer, exception):
"""Log layer aoi scan path metrics"""
if layer.is_analysis_available():
analysis = layer.analysis()
log = (
timestamp,
analysis['argaze.GazeAnalysis.Basic.AOIScanPathAnalyzer'].path_duration,
analysis['argaze.GazeAnalysis.Basic.AOIScanPathAnalyzer'].steps_number,
analysis['argaze.GazeAnalysis.KCoefficient.AOIScanPathAnalyzer'].K,
analysis['argaze.GazeAnalysis.LempelZivComplexity.AOIScanPathAnalyzer'].lempel_ziv_complexity
)
self.write(log)
'''
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