-
-
Notifications
You must be signed in to change notification settings - Fork 59
/
procedural_face_expressions.py
executable file
·79 lines (62 loc) · 2.41 KB
/
procedural_face_expressions.py
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
#!/usr/bin/env python
import time
from PIL import Image
import numpy as np
import pycozmo
with pycozmo.connect(enable_procedural_face=False) as cli:
# Raise head.
angle = (pycozmo.robot.MAX_HEAD_ANGLE.radians - pycozmo.robot.MIN_HEAD_ANGLE.radians) / 2.0
cli.set_head_angle(angle)
time.sleep(1)
# List of face expressions.
expressions = [
pycozmo.expressions.Anger(),
pycozmo.expressions.Sadness(),
pycozmo.expressions.Happiness(),
pycozmo.expressions.Surprise(),
pycozmo.expressions.Disgust(),
pycozmo.expressions.Fear(),
pycozmo.expressions.Pleading(),
pycozmo.expressions.Vulnerability(),
pycozmo.expressions.Despair(),
pycozmo.expressions.Guilt(),
pycozmo.expressions.Disappointment(),
pycozmo.expressions.Embarrassment(),
pycozmo.expressions.Horror(),
pycozmo.expressions.Skepticism(),
pycozmo.expressions.Annoyance(),
pycozmo.expressions.Fury(),
pycozmo.expressions.Suspicion(),
pycozmo.expressions.Rejection(),
pycozmo.expressions.Boredom(),
pycozmo.expressions.Tiredness(),
pycozmo.expressions.Asleep(),
pycozmo.expressions.Confusion(),
pycozmo.expressions.Amazement(),
pycozmo.expressions.Excitement(),
]
# Base face expression.
base_face = pycozmo.expressions.Neutral()
rate = pycozmo.robot.FRAME_RATE
timer = pycozmo.util.FPSTimer(rate)
for expression in expressions:
# Transition from base face to expression and back.
for from_face, to_face in ((base_face, expression), (expression, base_face)):
if to_face != base_face:
print(to_face.__class__.__name__)
# Generate transition frames.
face_generator = pycozmo.procedural_face.interpolate(from_face, to_face, rate // 3)
for face in face_generator:
# Render face image.
im = face.render()
# The Cozmo protocol expects a 128x32 image, so take only the even lines.
np_im = np.array(im)
np_im2 = np_im[::2]
im2 = Image.fromarray(np_im2)
# Display face image.
cli.display_image(im2)
# Maintain frame rate.
timer.sleep()
# Pause for 1s.
for i in range(rate):
timer.sleep()