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End to End MLOPS Multi Video streaming & Object detection with Kafka, Torchserve in AWS EC2 - Part 4
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Kafka Consumer, Flask, docker setup AWS
Explore the easy steps to set up your Consumer, implement Flask for seamless interaction, configure Docker for hassle-free deployment, and establish your system on AWS. This straightforward tutorial simplifies Consumer setup, Flask integration, Docker configuration, and AWS deployment, ensuring a smooth and efficient process. Dive in and navigate these essential setups effortlessly!
Welcome to a tutorial where we immerse ourselves in the dynamic realm of multi-video streaming and cutting-edge object detection. Brace yourself as we orchestrate a seamless fusion of powerful technologies. Join us on an exploration as we intricately weave together the capabilities of Kafka for high-performance data streaming, TorchServe for efficient model serving, YOLOv8 for state-of-the-art object detection, Flask and Flask-SocketIO for interactive web interfaces, DVC for meticulous data version control, MongoDB for persistent data storage, and Docker Compose for streamlined container orchestration. Together, we will architect a robust and scalable solution, hosted on AWS EC2, that transcends conventional boundaries. This comprehensive tutorial is your passport to mastering the intricacies of these technologies, unlocking a world of possibilities for your projects and applications. Let's dive in and revolutionize the way we approach multi-video streaming and object detection in the digital landscape.
#MultiVideoStreaming #ObjectDetection #Tutorial #Kafka #TorchServe #YOLOv8 #Flask #Flask-SocketIO #DVC #MongoDB #DockerCompose #AWSEC2
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