| 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 | |