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import os |
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import time |
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import cv2 |
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import numpy as np |
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import pyarrow as pa |
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from dora import DoraStatus |
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CI = os.environ.get("CI") |
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CAMERA_WIDTH = 960 |
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CAMERA_HEIGHT = 540 |
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CAMERA_INDEX = int(os.getenv("CAMERA_INDEX", 2)) |
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font = cv2.FONT_HERSHEY_SIMPLEX |
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class Operator: |
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""" |
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Sending image from webcam to the dataflow |
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""" |
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def __init__(self): |
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self.video_capture = cv2.VideoCapture(CAMERA_INDEX) |
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self.start_time = time.time() |
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self.video_capture.set(cv2.CAP_PROP_FRAME_WIDTH, CAMERA_WIDTH) |
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self.video_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, CAMERA_HEIGHT) |
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def on_event( |
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self, |
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dora_event: str, |
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send_output, |
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) -> DoraStatus: |
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event_type = dora_event["type"] |
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if event_type == "INPUT": |
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ret, frame = self.video_capture.read() |
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if ret: |
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frame = cv2.resize(frame, (CAMERA_WIDTH, CAMERA_HEIGHT)) |
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else: |
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frame = np.zeros((CAMERA_HEIGHT, CAMERA_WIDTH, 3), dtype=np.uint8) |
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cv2.putText( |
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frame, |
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"No Webcam was found at index %d" % (CAMERA_INDEX), |
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(int(30), int(30)), |
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font, |
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0.75, |
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(255, 255, 255), |
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2, |
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1, |
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) |
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if CI != "true": |
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return DoraStatus.CONTINUE |
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send_output( |
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"image", |
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pa.array(frame.ravel()), |
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dora_event["metadata"], |
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) |
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elif event_type == "STOP": |
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print("received stop") |
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else: |
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print("received unexpected event:", event_type) |
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if time.time() - self.start_time < 10000: |
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return DoraStatus.CONTINUE |
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else: |
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return DoraStatus.STOP |
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def __del__(self): |
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self.video_capture.release() |
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if __name__ == "__main__": |
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op = Operator() |
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op.on_event( |
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{"type": "INPUT", "id": "tick", "value": pa.array([0]), "metadata": []}, print |
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) |
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