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| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "<center><img src=\"images/DLI Header.png\" alt=\"Header\" width=\"400\"></center>" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "# Getting Started with DeepStream for Video Analytics on Jetson Nano\n", |
| 15 | + "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", |
| 16 | + "\n", |
| 17 | + "<img src=\"images/embedded-web-deepstream-image-option04_FIXED.png\" width=800>\n", |
| 18 | + "\n", |
| 19 | + "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", |
| 20 | + "\n", |
| 21 | + "# Table of Contents\n", |
| 22 | + "1. [Object Detection Application](01_ObjDetect.ipynb)<br>\n", |
| 23 | + "You'll learn how to:\n", |
| 24 | + " - Build a basic DeepStream pipeline\n", |
| 25 | + " - Configure an object detection model\n", |
| 26 | + " - Modify metadata to perform analysis\n", |
| 27 | + "2. [Multiple Networks Application](02_MultipleNetworks.ipynb)<br>\n", |
| 28 | + "You'll learn how to:\n", |
| 29 | + " - Build a pipeline with multiple networks in series\n", |
| 30 | + " - Add a secondary inference plugin to a pipeline\n", |
| 31 | + " - Configure multiple networks and tracking in a pipeline \n", |
| 32 | + "3. [Multistream Application](03_MultiStream.ipynb)<br>\n", |
| 33 | + "You'll learn how to:\n", |
| 34 | + " - Build a pipeline with multiple input streams in parallel\n", |
| 35 | + " - Configure multiple input streams with different formats\n", |
| 36 | + "4. [Video File Output](04_VideoFileOutput.ipynb)<br>\n", |
| 37 | + "You'll learn how to:\n", |
| 38 | + " - Build a pipeline that outputs to a file\n", |
| 39 | + " - Create an annotated video file\n", |
| 40 | + "5. [Using Different Neural Networks (Optional)](05_DiffNetworks.ipynb)<br>\n", |
| 41 | + "You'll learn how to:\n", |
| 42 | + " - Build and run a YOLO application\n", |
| 43 | + " - Access info on adding Faster-RCNN and SSD networks to DeepStream\n", |
| 44 | + "6. [Live Stream (Optional)](06_DSWebcam.ipynb)<br>\n", |
| 45 | + "You'll learn how to:\n", |
| 46 | + " - Build a pipeline with webcam input\n", |
| 47 | + " - Run YOLO with a webcam\n" |
| 48 | + ] |
| 49 | + }, |
| 50 | + { |
| 51 | + "cell_type": "markdown", |
| 52 | + "metadata": {}, |
| 53 | + "source": [ |
| 54 | + "<center><img src=\"images/DLI Header.png\" alt=\"Header\" width=\"400\"></center>" |
| 55 | + ] |
| 56 | + } |
| 57 | + ], |
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| 60 | + "display_name": "Python 3", |
| 61 | + "language": "python", |
| 62 | + "name": "python3" |
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| 64 | + "language_info": { |
| 65 | + "codemirror_mode": { |
| 66 | + "name": "ipython", |
| 67 | + "version": 3 |
| 68 | + }, |
| 69 | + "file_extension": ".py", |
| 70 | + "mimetype": "text/x-python", |
| 71 | + "name": "python", |
| 72 | + "nbconvert_exporter": "python", |
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| 74 | + "version": "3.6.9" |
| 75 | + } |
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