Meadow.TensorFlowLiteForMicrocontrollers

TensorFlow Lite for Microcontrollers integration for Wilderness Labs Meadow

The TensorFlowLiteForMicrocontrollers library provides TensorFlow Lite for Microcontrollers integration for the Wilderness Labs Meadow .NET IoT platform, enabling machine learning capabilities on Meadow F7 hardware.

For more information on developing for Meadow, visit developer.wildernesslabs.co.

To view all Wilderness Labs open-source projects, including samples, visit github.com/wildernesslabs.

Installation

You can install the library from Visual Studio using the NuGet Package Manager or from the command line using the .NET CLI:

dotnet add package Meadow.TensorFlowLiteForMicrocontrollers

How to Contribute

• Found a bug? Report an issue
• Have a feature idea or driver request? Open a new feature request
• Want to contribute code? Fork the Meadow.Foundation repository and submit a pull request against the develop branch

Need Help?

If you have questions or need assistance, please join the Wilderness Labs community on Slack.

About Meadow

Meadow is a complete, IoT platform with defense-grade security that runs full .NET applications on embeddable microcontrollers and Linux single-board computers including Raspberry Pi and NVIDIA Jetson.

Build

Use the full .NET platform and tooling such as Visual Studio and plug-and-play hardware drivers to painlessly build IoT solutions.

Connect

Utilize native support for WiFi, Ethernet, and Cellular connectivity to send sensor data to the Cloud and remotely control your peripherals.

Deploy

Instantly deploy and manage your fleet in the cloud for OtA, health-monitoring, logs, command + control, and enterprise backend integrations.