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#!/usr/bin/env python
"""Module for matching algorithm based on fixation's focus point
"""
__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "BSD"
from typing import TypeVar, Tuple
from dataclasses import dataclass, field
import math
from argaze import GazeFeatures
from argaze.AreaOfInterest import AOIFeatures
import numpy
import cv2
GazeMovementType = TypeVar('GazeMovement', bound="GazeMovement")
# Type definition for type annotation convenience
@dataclass
class AOIMatcher(GazeFeatures.AOIMatcher):
"""Matching algorithm based on fixation's focus point."""
def __post_init__(self):
"""Init looked aoi data."""
self.__looked_aoi_data = (None, None)
self.__matched_gaze_movement = None
def match(self, aoi_scene, gaze_movement, exclude=[]) -> Tuple[str, AOIFeatures.AreaOfInterest]:
"""Returns AOI containing fixation focus point."""
if GazeFeatures.is_fixation(gaze_movement):
for name, aoi in aoi_scene.items():
if name not in exclude and aoi.contains_point(gaze_movement.focus):
# Update looked aoi data
self.__looked_aoi_data = (name, aoi)
# Update matched gaze movement
self.__matched_gaze_movement = gaze_movement
return self.__looked_aoi_data
elif GazeFeatures.is_saccade(gaze_movement):
self.__post_init__()
def draw(self, image: numpy.array, draw_matched_fixation: dict = None, draw_matched_fixation_positions: dict = None, draw_looked_aoi: dict = None, looked_aoi_name_color: tuple = None, looked_aoi_name_offset: tuple = (0, 0)):
"""Draw matching into image.
Parameters:
draw_matched_fixation: Fixation.draw parameters (which depends of the loaded gaze movement identifier module, if None, no fixation is drawn)
draw_matched_fixation_positions: GazeMovement.draw_positions parameters (if None, no fixation is drawn)
draw_looked_aoi: AOIFeatures.AOI.draw parameters (if None, no looked aoi is drawn)
looked_aoi_name_color: color of text (if None, no looked aoi name is drawn)
looked_aoi_name_offset: ofset of text from the upper left aoi bounding box corner
"""
if self.__matched_gaze_movement:
if GazeFeatures.is_fixation(self.__matched_gaze_movement):
# Draw matched fixation if required
if draw_matched_fixation:
self.__matched_gaze_movement.draw(image, **draw_matched_fixation)
# Draw matched fixation positions if required
if draw_matched_fixation_positions:
self.__matched_gaze_movement.draw_positions(image, **draw_matched_fixation_positions)
# Draw matched aoi
if self.looked_aoi.all() != None:
# Draw looked aoi if required
if draw_looked_aoi:
self.looked_aoi.draw(image, **draw_looked_aoi)
# Draw looked aoi name if required
if looked_aoi_name_color:
top_left_corner_pixel = numpy.rint(self.looked_aoi.bounding_box[0]).astype(int) + looked_aoi_name_offset
cv2.putText(image, self.looked_aoi_name, top_left_corner_pixel, cv2.FONT_HERSHEY_SIMPLEX, 1, looked_aoi_name_color, 1, cv2.LINE_AA)
@property
def looked_aoi(self) -> AOIFeatures.AreaOfInterest:
"""Get most likely looked aoi for current fixation (e.g. the aoi with the highest coverage mean value)"""
return self.__looked_aoi_data[1]
@property
def looked_aoi_name(self) -> str:
"""Get most likely looked aoi name for current fixation (e.g. the aoi with the highest coverage mean value)"""
return self.__looked_aoi_data[0]
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