1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
|
#!/usr/bin/env python
from dataclasses import dataclass, field
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
@dataclass
class AreaOfInterest(numpy.ndarray):
"""Define 2D/3D Area Of Interest."""
def dimension(self):
"""Number of coordinates coding area points positions."""
return self.shape[1]
def bounding_box(self):
"""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)])
def center(self):
"""Center of mass"""
return self.mean(axis=0)
def clockwise(self):
"""Get area points in clocwise order."""
if self.dimension() != 2:
raise RuntimeError(f'Bad area dimension ({self.dimension()})')
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):
"""Is gaze position inside area ?"""
if self.dimension() != 2:
raise RuntimeError(f'Bad area dimension ({self.dimension()})')
return mpath.Path(self).contains_points([gaze_position])[0]
def look_at(self, gaze_pixel):
"""Get where the area is looked using perpespective transformation."""
if self.dimension() != 2:
raise RuntimeError(f'Bad area dimension ({self.dimension()})')
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(gaze_pixel - 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):
"""Get which pixel is looked."""
if self.dimension() != 2:
raise RuntimeError(f'Bad area dimension ({self.dimension()})')
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, gaze_radius):
"""Get intersection shape with gaze circle as the looked area, (looked area / AOI area) and (looked area / gaze circle area)."""
if self.dimension() != 2:
raise RuntimeError(f'Bad area dimension ({self.dimension()})')
self_polygon = Polygon(self)
gaze_circle = Point(gaze_position).buffer(gaze_radius)
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):
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)
@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, key):
"""Get an aoi from the scene."""
return numpy.array(self.areas[key]).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):
for name, area in self.areas.items():
yield name, numpy.array(area).astype(numpy.float32).view(AreaOfInterest)
def keys(self):
return self.areas.keys()
def bounds(self):
"""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])
def center(self):
"""Get scene's center point."""
min_bounds, max_bounds = self.bounds()
return (min_bounds + max_bounds) / 2
def size(self):
"""Get scene size."""
min_bounds, max_bounds = self.bounds()
return max_bounds - min_bounds
class TimeStampedAOIScenes(DataStructures.TimeStampedBuffer):
"""Define timestamped buffer to store AOI scenes in time."""
def __setitem__(self, key, value):
"""Force value to inherit from AOIScene."""
if type(value).__bases__[0] != AOIScene:
raise ValueError(f'value must inherit from AOIScene')
super().__setitem__(key, value)
|
