video-analyzer-iot-edge-python's Introduction

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azure-video-analyzer

The samples in this repo show how to use the Azure Video Analyzer that enables you to capture, record, and analyze videos using AI.

Azure Video Analyzer samples

This repo provides Python samples for Azure Video Analyzer

File/folder	Description
`src`	Sample source code.
`.gitignore`	Defines what to ignore at commit time.
`README.md`	This README file.
`LICENSE`	The license for the sample.
`SECURITY`	Guidelines for reporting security issues
`CODE_OF_CONDUCT.md`	Open source code of conduct

The 'src' folder contains two sub-folders

cloud-to-device-console-app - This folder contains a Python app that enables you to invoke direct methods of Azure Video Analyzer module, with parameters defined by you in a JSON file (operations.json).
edge - This folder has a few IoT Edge deployment manifest templates, along with sample code for an IoT Edge module (under 'modules' folder) that can be used in conjunction with the Azure Video Analyzer module.

Prerequisites

An active Azure subscription
Azure resources deployed in the Azure subscription

a. Video Analyzer account

b. Storage account

c. Managed Identity

d. IoT Hub

e. Azure container registry
A Linux edge device with IoT Edge runtime
Visual Studio Code on your development machine with following extensions

a. Azure IoT Tools

b. Python
Docker on your development machine

Set up Azure resources:

After cloning the repository, follow instructions outlined in src/cloud-to-device-console-app/readme.md to setup the console app.

Follow instructions outlined in src/cloud-to-device-console-app/readme.md to run the console app.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

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