how to implement the push notification after convert.

Harshita Gupta 0 Reputation points
2024-07-25T03:36:52.7033333+00:00

I want to let my console app to use the push notification in UWP, so my team decide to covert our Console app to UWP. The question is how to implement the push notification after convert.

Microsoft Security Microsoft Entra Microsoft Entra ID
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  1. Taieo Hkon🥰 0 Reputation points
    2024-07-25T03:44:39.4466667+00:00
                ret, frame = cap.read()
                if not ret:
                    break
                # Resize the frame to reduce latency
                frame = cv2.resize(frame, (640, 480))
                # Run face detection asynchronously
                faces = await detect_faces(session, frame)
                # Draw face rectangles
                if faces:
                    for face in faces:
                        rect = face['faceRectangle']
                        cv2.rectangle(frame, (rect['left'], rect['top']),
                                      (rect['left'] + rect['width'], rect['top'] + rect['height']),
                                      (0, 255, 0), 2)
                cv2.imshow('Frame', frame)
                if cv2.waitKey(1) & 0xFF == ord('q'):
                    break
        cap.release()
        cv2.destroyAllWindows()
    # RTSP stream URL
    rtsp_url = "rtsp://your-stream-url"
    # Run the stream processing
    asyncio.run(process_stream(rtsp_url))
    

    The above implementation is a kind of solution that will provide a good balance between accuracy and reduced latency for processing RTSP streams with Azure Face API using Python. Adjusting the frame size, rate, and leveraging asynchronous processing will help mitigate latency issues.

    Lastly, Optimization Strategies

    Deploy edge computing solutions to preprocess and filter frames before sending them to the cloud.

    If the latency is still high, consider sending frames in batches to reduce the number of API calls.

    Process multiple RTSP streams in parallel using multithreading or multiprocessing, depending on your hardware capabilities.

    References

    Source: Async IO in Python. Accessed, 7/22/2024.

    Source: OpenCV VideoCapture Class.Accessed, 7/22/2024.

    Source: Real-Time Video Processing with OpenCV and Python. Accessed, 7/22/2024.

    Source: Reducing Video Latency. Accessed, 7/22/2024.

    Accept Answer

    I hope this is helpful! Do not hesitate to let me know if you have any other questions.

    ** Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful ** so that others in the community facing similar issues can easily find the solution.

    Best Regards,

    Sina Salam

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