| page_type | languages | products | description | |||
|---|---|---|---|---|---|---|
sample |
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The samples in this repo show how to use the Azure Video Analyzer that enables you to capture, record, and analyze videos using AI. |
We’re retiring the Azure Video Analyzer preview service, you're advised to transition your applications off of Video Analyzer by 01 December 2022. This repo is no longer being maintained.
| 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.
-
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
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.
Read Azure Video Analyzer concepts
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.