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This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK

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AWS Panorama Samples and Test Utility

Introduction

AWS Panorama is a machine learning appliance and SDK, which enables you to add computer vision (CV) to your on-premises cameras or on new AWS Panorama enabled cameras. AWS Panorama gives you the ability to make real-time decisions to improve your operations, by giving you compute power at the edge.

This repository contains sample applications for AWS Panorama, and Test Utility which allows running Panorama applications in simulation environment without real Panorama appliance device.

About Test Utility

Test Utility is a set of python libraries and commandline commands, which allows you to test-run Panorama applications without Panorama appliance device. With Test Utility, you can start running sample applications and developing your own Panorama applications before preparing real Panorama appliance. Sample applications in this repository also use Test Utility.

For more about the Test Utility and its current capabilities, please refer to Introducing AWS Panorama Test Utility document.

To set up your environment for Test Utility, please refer to Test Utility environment setup.

To know how to use Test Utility, please refer to How to use Test Utility.

List of Samples

Application Description Framework Usecase Complexity Model
People Counter This is a sample computer vision application that can count the number of people in each frame of a streaming video (Start with this) MXNet Object Detection Easy Download
Car Detector and Tracker This is a sample computer vision application that can detect and track cars Tensorflow Object Detection Medium Download
Pose estimation This is a sample computer vision application that can detect people and estimate pose of them MXNet Pose estimation Advanced yolo3_mobilenet1.0_coco, simple_pose_resnet152_v1d

Running the Samples

Step 1 : Go to aws-panorama-samples/samples and open your choice of project
Step 2 : Open the .ipynb notebook and follow the instructions in the notebook
Step 3 : To make any changes, change the corresponding node package.json or the graph.json in the application folder

For more information, check out the documentation for the AWS Panorama DX CLI here

Documentations

Getting Help

We use AWS Panorama Samples GitHub issues for tracking questions, bugs, and feature requests.

License

This library is licensed under the MIT-0 License.

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This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK

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