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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"
from typing import Self
from argaze import DataFeatures, GazeFeatures
from argaze.AreaOfInterest import AOIFeatures, AOI3DScene
import cv2
import numpy
from xml.dom import minidom
class AOI2DScene(AOIFeatures.AOIScene):
"""Define AOI 2D scene."""
def __init__(self, aoi_2d: dict = None):
super().__init__(2, aoi_2d)
@classmethod
def from_svg(cls, svg_filepath: str) -> Self:
"""
Load areas from .svg file.
Parameters:
svg_filepath: path to svg file
!!! note
Available SVG elements are: path, rect and circle.
!!! warning
Available SVG path d-string commands are: MoveTo (M) LineTo (L) and ClosePath (Z) commands.
"""
with minidom.parse(svg_filepath) as description_file:
new_areas = {}
# Load SVG path
for path in description_file.getElementsByTagName('path'):
# Convert d-string into array
d_string = path.getAttribute('d')
assert (d_string[0] == 'M')
assert (d_string[-1] == 'Z')
points = [(float(x), float(y)) for x, y in [p.split(',') for p in d_string[1:-1].split('L')]]
new_areas[path.getAttribute('id')] = AOIFeatures.AreaOfInterest(points)
# Load SVG rect
for rect in description_file.getElementsByTagName('rect'):
# Convert rect element into dict
rect_dict = {
"Rectangle": {
'x': float(rect.getAttribute('x')),
'y': float(rect.getAttribute('y')),
'width': float(rect.getAttribute('width')),
'height': float(rect.getAttribute('height'))
}
}
new_areas[rect.getAttribute('id')] = AOIFeatures.AreaOfInterest.from_dict(rect_dict)
# Load SVG circle
for circle in description_file.getElementsByTagName('circle'):
# Convert circle element into dict
circle_dict = {
"Circle": {
'cx': float(circle.getAttribute('cx')),
'cy': float(circle.getAttribute('cy')),
'radius': float(circle.getAttribute('r'))
}
}
new_areas[circle.getAttribute('id')] = AOIFeatures.AreaOfInterest.from_dict(circle_dict)
# Load SVG ellipse
for ellipse in description_file.getElementsByTagName('ellipse'):
# Convert ellipse element into dict
ellipse_dict = {
"Ellipse": {
'cx': float(circle.getAttribute('cx')),
'cy': float(circle.getAttribute('cy')),
'rx': float(circle.getAttribute('rx')),
'ry': float(circle.getAttribute('ry'))
}
}
new_areas[ellipse.getAttribute('id')] = AOIFeatures.AreaOfInterest.from_dict(ellipse_dict)
return AOI2DScene(new_areas)
def draw(self, image: numpy.array, draw_aoi: dict = None, exclude: list = None):
"""Draw AOI polygons on image.
Parameters:
image: where to draw.
draw_aoi: AOIFeatures.AOI.draw parameters (if None, no aoi is drawn)
exclude: aoi to exclude
"""
if exclude is None:
exclude = []
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 AOI 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 useful?
def reframe(self, aoi: AOIFeatures.AreaOfInterest, size: tuple) -> AOI2DScene:
"""
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 transformation to 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) -> AOI3DScene.AOI3DScene:
"""
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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