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#!/usr/bin/env python
from dataclasses import dataclass, field
from typing import TypeVar, Tuple
from argaze import DataStructures, GazeFeatures
import cv2 as cv
import matplotlib.path as mpath
import numpy
from shapely.geometry import Polygon
from shapely.geometry.point import Point
SelfArea = TypeVar('Self', bound="AreaOfInterest")
# Type definition for type annotation convenience
@dataclass
class AreaOfInterest(numpy.ndarray):
"""Define 2D/3D Area Of Interest as an array of points."""
@property
def dimension(self) -> int:
"""Number of axis coding area points positions."""
return self.shape[1]
@property
def bounding_box(self) -> numpy.array:
"""Get area's bounding box."""
min_x, min_y = numpy.min(self, axis=0)
max_x, max_y = numpy.max(self, axis=0)
return numpy.array([(min_x, min_y), (max_x, min_y), (max_x, max_y), (min_x, max_y)])
@property
def center(self) -> numpy.array:
"""Center of mass."""
return self.mean(axis=0)
def clockwise(self) -> SelfArea:
"""Get area points in clocwise order.
.. warning::
Available for 2D AOI only."""
assert(self.dimension() == 2)
O = self.center()
OP = (self - O) / numpy.linalg.norm(self - O)
angles = numpy.arctan2(OP[:, 1], OP[:, 0])
return self[numpy.argsort(angles)]
def looked(self, gaze_position) -> bool:
"""Is gaze position inside area?
.. warning::
Available for 2D AOI only."""
assert(self.dimension() == 2)
return mpath.Path(self).contains_points([tuple(gaze_position)])[0]
def look_at(self, pixel_position) -> numpy.array:
"""Get where the area is looked using perpespective transformation.
.. warning::
Available for 2D AOI only."""
assert(self.dimension() == 2)
Src = self.clockwise()
Src_origin = Src[0]
Src = (Src - Src_origin).reshape((len(Src)), 2)
Dst = numpy.array([[0., 0.], [1., 0.], [1., 1.], [0., 1.]]).astype(numpy.float32)
P = cv.getPerspectiveTransform(Src, Dst)
X = numpy.append(numpy.array(pixel_position - Src_origin), [1.0]).astype(numpy.float32)
Y = numpy.dot(P, X)
La = (Y/Y[2])[:-1]
return numpy.around(La, 4).tolist()
def looked_pixel(self, look_at) -> numpy.array:
"""Get which pixel is looked inside 2D AOI.
.. warning::
Available for 2D AOI only."""
assert(self.dimension() == 2)
Src = numpy.array([[0., 0.], [1., 0.], [1., 1.], [0., 1.]]).astype(numpy.float32)
Dst = self.clockwise()
Dst_origin = Dst[0]
Dst = (Dst - Dst_origin).reshape((len(Dst)), 2)
P = cv.getPerspectiveTransform(Src, Dst)
X = numpy.array([look_at[0], look_at[1], 1.0]).astype(numpy.float32)
Y = numpy.dot(P, X)
Lp = Dst_origin + (Y/Y[2])[:-1]
return numpy.rint(Lp).astype(int).tolist()
def looked_region(self, gaze_position) -> Tuple[numpy.array, float, float]:
"""Get intersection shape with gaze accuracy circle as the looked area, (looked area / AOI area) and (looked area / gaze accuracy circle area).
.. warning::
Available for 2D AOI only."""
assert(self.dimension() == 2)
self_polygon = Polygon(self)
gaze_circle = Point(gaze_position).buffer(gaze_position.accuracy)
if self_polygon.intersects(gaze_circle):
intersection = self_polygon.intersection(gaze_circle)
intersection_array = numpy.array([list(xy) for xy in intersection.exterior.coords[:]]).astype(numpy.float32).view(AreaOfInterest)
return intersection_array, intersection.area / self_polygon.area, intersection.area / gaze_circle.area
else:
empty_array = numpy.array([list([])]).astype(numpy.float32).view(AreaOfInterest)
return empty_array, 0., 0.
def draw(self, frame, color, border_size=1):
"""Draw 2D AOI into frame.
.. warning::
Available for 2D AOI only."""
assert(self.dimension() == 2)
if len(self) > 1:
# Draw form
pixels = numpy.rint(self).astype(int)
cv.line(frame, pixels[-1], pixels[0], color, border_size)
for A, B in zip(pixels, pixels[1:]):
cv.line(frame, A, B, color, border_size)
# Draw center
center_pixel = numpy.rint(self.center()).astype(int)
cv.circle(frame, center_pixel, 1, color, -1)
SelfScene = TypeVar('Self', bound="AOIScene")
# Type definition for type annotation convenience
@dataclass
class AOIScene():
"""Define 2D/3D AOI scene."""
dimension: int = field(init=False, repr=False, default=None)
"""Dimension of the AOIs in scene."""
areas: dict = field(init=False, default_factory=dict)
"""All aois in the scene."""
def __getitem__(self, name) -> AreaOfInterest:
"""Get an aoi from the scene."""
return numpy.array(self.areas[name]).astype(numpy.float32).view(AreaOfInterest)
def __setitem__(self, name, aoi: AreaOfInterest):
"""Add an aoi to the scene."""
self.areas[name] = aoi.tolist()
def __delitem__(self, key):
"""Remove an aoi from the scene."""
del self.areas[key]
def items(self) -> Tuple[str, AreaOfInterest]:
"""Iterate over areas."""
for name, area in self.areas.items():
yield name, numpy.array(area).astype(numpy.float32).view(AreaOfInterest)
def keys(self) -> list[str]:
"""Get areas name."""
return self.areas.keys()
@property
def bounds(self) -> numpy.array:
"""Get scene's bounds."""
all_vertices = []
for area in self.areas.values():
for vertice in area:
all_vertices.append(vertice)
all_vertices = numpy.array(all_vertices).astype(numpy.float32)
min_bounds = numpy.min(all_vertices, axis=0)
max_bounds = numpy.max(all_vertices, axis=0)
return numpy.array([min_bounds, max_bounds])
@property
def center(self) -> numpy.array:
"""Get scene's center point."""
min_bounds, max_bounds = self.bounds()
return (min_bounds + max_bounds) / 2
@property
def size(self) -> numpy.array:
"""Get scene size."""
min_bounds, max_bounds = self.bounds()
return max_bounds - min_bounds
def copy(self, exclude=[]) -> SelfScene:
"""Copy scene partly excluding aoi by name."""
scene_copy = type(self)()
for name, area in self.areas.items():
if name not in exclude:
scene_copy[name] = numpy.array(area).astype(numpy.float32).view(AreaOfInterest)
return scene_copy
class EmptyAOIScene(AOIScene):
"""Empty aoi scene."""
def __init__(self):
self.dimension = 0
self.areas = {}
class TimeStampedAOIScenes(DataStructures.TimeStampedBuffer):
"""Define timestamped buffer to store AOI scenes in time."""
def __setitem__(self, ts, scene):
"""Force value to inherit from AOIScene."""
assert(type(value).__bases__[0] == AOIScene)
super().__setitem__(ts, scene)
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