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#!/usr/bin/env python
""" """
__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "BSD"
from typing import TypeVar, Tuple
from argaze import DataStructures
from argaze.AreaOfInterest import AOIFeatures, AOI3DScene
from argaze import GazeFeatures
import cv2
import numpy
AOI2DSceneType = TypeVar('AOI2DScene', bound="AOI2DScene")
# Type definition for type annotation convenience
AOI3DSceneType = TypeVar('AOI3DScene', bound="AOI3DScene")
# Type definition for type annotation convenience
class AOI2DScene(AOIFeatures.AOIScene):
"""Define AOI 2D scene."""
def __init__(self, aois_2d: dict = None):
super().__init__(2, aois_2d)
def draw(self, image: numpy.array, draw_aoi: dict = None, exclude=[]):
"""Draw AOI polygons on image.
Parameters:
draw_aoi: AOIFeatures.AOI.draw parameters (if None, no aoi is drawn)
"""
for name, aoi in self.items():
if name in exclude:
continue
if draw_aoi:
aoi.draw(image, **draw_aoi)
def raycast(self, pointer:tuple) -> Tuple[str, "AOIFeatures.AreaOfInterest", bool]:
"""Iterate over aoi to know which aoi is matching the given pointer position.
Returns:
aoi name
aoi object
matching status
"""
for name, aoi in self.items():
matching = aoi.contains_point(pointer)
yield name, aoi, matching
def draw_raycast(self, image: numpy.array, pointer:tuple, exclude=[], base_color=(0, 0, 255), matching_color=(0, 255, 0)):
"""Draw AOIs with their matching status."""
for name, aoi, matching in self.raycast(pointer):
if name in exclude:
continue
color = matching_color if matching else base_color
if matching:
top_left_corner_pixel = numpy.rint(aoi.clockwise()[0]).astype(int)
cv2.putText(image, name, top_left_corner_pixel, cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
# Draw form
aoi.draw(image, color)
def circlecast(self, center:tuple, radius:float) -> Tuple[str, "AOIFeatures.AreaOfInterest", numpy.array, float, float]:
"""Iterate over areas to know which aoi is matched circle.
Returns:
aoi name
aoi object
matching region points
ratio of matched region area relatively to aoi area
ratio of matched region area relatively to circle area
"""
for name, aoi in self.items():
matched_region, aoi_ratio, circle_ratio = aoi.circle_intersection(center, radius)
yield name, aoi, matched_region, aoi_ratio, circle_ratio
'''DEPRECATED: but maybe still usefull?
def reframe(self, aoi: AOIFeatures.AreaOfInterest, size: tuple) -> AOI2DSceneType:
"""
Reframe whole scene to a scene bounded by a 4 vertices 2D AOI.
Parameters:
aoi: 4 vertices 2D AOI used to reframe scene
size: size of reframed scene
Returns:
reframed AOI 2D scene
"""
assert(aoi.dimension == 2)
assert(aoi.points_number == 4)
# Edit affine transformation (M) allowing to transform source axis (Src) into destination axis (Dst)
Src = aoi.clockwise().astype(numpy.float32)
Src_origin = Src[0]
Src = Src - Src_origin
Dst = numpy.float32([[0, 0], [size[0], 0], [size[0], size[1]], [0, size[1]]])
M = cv2.getAffineTransform(Src[:3], Dst[:3])[:, :2]
# Apply affine transformationto each AOI
aoi2D_scene = AOI2DScene()
for name, aoi2D in self.items():
aoi2D_scene[name] = numpy.matmul(aoi2D - Src_origin, M.T)
return aoi2D_scene
'''
def dimensionalize(self, rectangle_3d: AOIFeatures.AreaOfInterest, size: tuple) -> AOI3DSceneType:
"""
Convert to 3D scene considering it is inside of 3D rectangular frame.
Parameters:
rectangle_3d: rectangle 3D AOI to use as referential plane
size: size of the frame in pixel
Returns:
AOI 3D scene
"""
assert(rectangle_3d.dimension == 3)
assert(rectangle_3d.points_number == 4)
# Vectorize outter_axis function
vfunc = numpy.vectorize(rectangle_3d.outter_axis)
# Prepare new AOI 3D scene
aoi3D_scene = AOI3DScene.AOI3DScene()
for name, aoi2D in self.items():
X, Y = (aoi2D / size).T
aoi3D_scene[name] = numpy.array(vfunc(X, Y)).T.view(AOIFeatures.AreaOfInterest)
return aoi3D_scene
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