This repo provides Python samples for Live Video Analytics on IoT Edge

The 'src' folder contains three sub-folders

• cloud-to-device-console-app - This folder contains a Python app that enables you to invoke direct methods of Live Video Analytics on IoT Edge 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 Live Video Analytics on IoT Edge module.
• ams-asset-player - This folder contains a Python app that showcases how you can playback assets recorded by Live Video Analytics on IoT Edge (in the Azure Media Services account referenced in the module twin properties).

1. An active Azure subscription

2. Azure resources deployed in the Azure subscription

   a. IoT Hub

   b. Storage Account

   c. Media Services

   d. Azure container registry

3. A Linux edge device with IoT Edge runtime

4. Visual Studio Code on your development machine with following extensions

   a. Azure IoT Tools

   b. Python

5. Docker on your development machine

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

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

Read Live Video Analytics on IoT Edge concepts

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.