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"<center><img src=\"images/DLI Header.png\" alt=\"Header\" width=\"400\"></center>"
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"# Getting Started with DeepStream for Video Analytics on Jetson Nano\n",
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"The DeepStream SDK offers a complete set of sample reference applications and pre-trained neural networks to jump-start development. In this course, you'll leverage these samples to build your own DeepStream applications to analyze and annotate video streams.\n",
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"\n",
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"<img src=\"images/embedded-web-deepstream-image-option04_FIXED.png\" width=800>\n",
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"\n",
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"To accomplish this goal, six exercise notebooks are provided for you to work through. The notebooks are organized as a progressive exploration of some of the more common DeepStream video analytic use cases.\n",
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"\n",
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"# Table of Contents\n",
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"1. [Object Detection Application](01_ObjDetect.ipynb)<br>\n",
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"You'll learn how to:\n",
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" - Build a basic DeepStream pipeline\n",
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" - Configure an object detection model\n",
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" - Modify metadata to perform analysis\n",
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"2. [Multiple Networks Application](02_MultipleNetworks.ipynb)<br>\n",
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"You'll learn how to:\n",
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" - Build a pipeline with multiple networks in series\n",
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" - Add a secondary inference plugin to a pipeline\n",
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" - Configure multiple networks and tracking in a pipeline \n",
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"3. [Multistream Application](03_MultiStream.ipynb)<br>\n",
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"You'll learn how to:\n",
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" - Build a pipeline with multiple input streams in parallel\n",
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" - Configure multiple input streams with different formats\n",
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"4. [Video File Output](04_VideoFileOutput.ipynb)<br>\n",
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"You'll learn how to:\n",
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" - Build a pipeline that outputs to a file\n",
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" - Create an annotated video file\n",
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"5. [Using Different Neural Networks (Optional)](05_DiffNetworks.ipynb)<br>\n",
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"You'll learn how to:\n",
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" - Build and run a YOLO application\n",
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" - Access info on adding Faster-RCNN and SSD networks to DeepStream\n",
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"6. [Live Stream (Optional)](06_DSWebcam.ipynb)<br>\n",
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"You'll learn how to:\n",
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" - Build a pipeline with webcam input\n",
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" - Run YOLO with a webcam\n"
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