This hands-on workshop teaches you the foundational elements of intelligent video analytics (IVA) by integrating deep learning models and algorithms into a ready-to-use NVIDIA DeepStream pipeline. First, you’ll gain an in-depth understanding of data normalization, annotation, and metadata formatting in IVA applications, followed by a fundamental understanding of object detection in video frames. You’ll proceed to train object tracking models and learn how to utilize temporal features of videos to achieve more efficient detection models. You’ll also learn to deploy and accelerate the development of your IVA application by plugging deep neural networks into an end-to-end stream processing pipeline using the DeepStream framework. Throughout the workshop, you’ll get hands-on coding experience using a live GPU-accelerated environment to deploy and train your models. At the end, you’ll have access to additional resources to design and deploy IVA applications on your own.
Deep Learning for Intelligent Video Analytics
Experience with deep neural networks (specifically variations of CNNs) and intermediate-level experience with C and Python
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