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import os
import cv2
from dora import DoraStatus
from utils import LABELS
CI = os.environ.get("CI")
CAMERA_WIDTH = 960
CAMERA_HEIGHT = 540
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),
)
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
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