operators/cv2_encoder_op.py

import pyarrow as pa

from dora import DoraStatus
import cv2
import os


CAMERA_WIDTH = 960
CAMERA_HEIGHT = 540

ENCODING = os.getenv("ENCODING", ".jpg")


class Operator:
    """
    Infering object from images
    """

    def on_event(
        self,
        dora_event,
        send_output,
    ) -> DoraStatus:
        if dora_event["type"] == "INPUT":
            frame = (
                dora_event["value"].to_numpy().reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3))
            )
            retval, buffer = cv2.imencode(ENCODING, frame)
            if retval:
                send_output("encoded_image", pa.array([buffer]), dora_event["metadata"])

        return DoraStatus.CONTINUE