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Adding more info on the README
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import os
import time
import cv2
import numpy as np
import pyarrow as pa
from dora import DoraStatus
CAMERA_WIDTH = 960
CAMERA_HEIGHT = 540
CAMERA_INDEX = int(os.getenv("CAMERA_INDEX", 0))
CI = os.environ.get("CI")
font = cv2.FONT_HERSHEY_SIMPLEX
class Operator:
"""
Sending image from webcam to the dataflow
"""
def __init__(self):
self.video_capture = cv2.VideoCapture(CAMERA_INDEX)
self.start_time = time.time()
self.video_capture.set(cv2.CAP_PROP_FRAME_WIDTH, CAMERA_WIDTH)
self.video_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, CAMERA_HEIGHT)
self.failure_count = 0
def on_event(
self,
dora_event: str,
send_output,
) -> DoraStatus:
event_type = dora_event["type"]
if event_type == "INPUT":
ret, frame = self.video_capture.read()
if ret:
frame = cv2.resize(frame, (CAMERA_WIDTH, CAMERA_HEIGHT))
self.failure_count = 0
## Push an error image in case the camera is not available.
else:
if self.failure_count > 10:
frame = np.zeros((CAMERA_HEIGHT, CAMERA_WIDTH, 3), dtype=np.uint8)
cv2.putText(
frame,
"No Webcam was found at index %d" % (CAMERA_INDEX),
(int(30), int(30)),
font,
0.75,
(255, 255, 255),
2,
1,
)
else:
self.failure_count += 1
return DoraStatus.CONTINUE
send_output(
"image",
pa.array(frame.ravel()),
dora_event["metadata"],
)
elif event_type == "STOP":
print("received stop")
else:
print("received unexpected event:", event_type)
if time.time() - self.start_time < 20 or CI != "true":
return DoraStatus.CONTINUE
else:
return DoraStatus.STOP
def __del__(self):
self.video_capture.release()