forked from dora-rs/dora
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathplot.py
More file actions
executable file
·118 lines (102 loc) · 3.27 KB
/
plot.py
File metadata and controls
executable file
·118 lines (102 loc) · 3.27 KB
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
import os
import cv2
import time
from dora import DoraStatus
from utils import LABELS
CI = os.environ.get("CI")
CAMERA_WIDTH = 640
CAMERA_HEIGHT = 480
FONT = cv2.FONT_HERSHEY_SIMPLEX
class Operator:
"""
Plot image and bounding box
"""
def __init__(self):
self.bboxs = []
self.buffer = ""
self.submitted = []
self.lines = []
def on_event(
self,
dora_event,
send_output,
):
if dora_event["type"] == "INPUT":
id = dora_event["id"]
value = dora_event["value"]
if id == "image":
image = (
value.to_numpy().reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3)).copy()
)
for bbox in self.bboxs:
[
min_x,
min_y,
max_x,
max_y,
confidence,
label,
] = bbox
cv2.rectangle(
image,
(int(min_x), int(min_y)),
(int(max_x), int(max_y)),
(0, 255, 0),
)
cv2.putText(
image,
f"{LABELS[int(label)]}, {confidence:0.2f}",
(int(max_x), int(max_y)),
FONT,
0.5,
(0, 255, 0),
)
cv2.putText(
image, self.buffer, (20, 14 + 21 * 14), FONT, 0.5, (190, 250, 0), 1
)
i = 0
for text in self.submitted[::-1]:
color = (
(0, 255, 190)
if text["role"] == "user_message"
else (0, 190, 255)
)
cv2.putText(
image,
text["content"],
(
20,
14 + (19 - i) * 14,
),
FONT,
0.5,
color,
1,
)
i += 1
for line in self.lines:
cv2.line(
image,
(int(line[0]), int(line[1])),
(int(line[2]), int(line[3])),
(0, 0, 255),
2,
)
if CI != "true":
cv2.imshow("frame", image)
if cv2.waitKey(1) & 0xFF == ord("q"):
return DoraStatus.STOP
elif id == "bbox":
self.bboxs = value.to_numpy().reshape((-1, 6))
elif id == "keyboard_buffer":
self.buffer = value[0].as_py()
elif id == "line":
self.lines += [value.to_pylist()]
elif "message" in id:
self.submitted += [
{
"role": id,
"content": value[0].as_py(),
}
]
return DoraStatus.CONTINUE