| | 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 |
| | |
| | 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() |
| |
|
