update readme

Author: mysterywolf

README.md

@@ -1,80 +1,7 @@
-# TensorFlow Lite Micro Library for Arduino
+# TensorFlow Lite Micro Library for RTduino
 
-This repository has the code (including examples) needed to use Tensorflow Lite Micro on an Arduino.
-
-## Table of contents
-<!--ts-->
-* [Table of contents](#table-of-contents)
-* [Build Status](#build-status)
-* [How to Install](#how-to-install)
-  * [GitHub](#github)
-  * [Checking your Installation](#checking-your-installation)
-* [Compatibility](#compatibility)
-* [License](#license)
-* [Contributing](#contributing)
-<!--te-->
-
-## Build Status
-
-Build Type          |     Status    |
----------------     | ------------- |
-Arduino CLI on Linux  | [![Arduino](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/ci.yml/badge.svg?event=schedule)](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/ci.yml)
-Sync from tflite-micro  | [![Sync from tflite-micro](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/sync.yml/badge.svg)](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/sync.yml)
-
-## How to Install
-
-### GitHub
-
-The officially supported TensorFlow Lite Micro library for Arduino resides
-in the [tflite-micro-arduino-examples](https://github.com/tensorflow/tflite-micro-arduino-examples)
-GitHub repository.
-To install the in-development version of this library, you can use the
-latest version directly from the GitHub repository. This requires you clone the
-repo into the folder that holds libraries for the Arduino IDE. The location for
-this folder varies by operating system, but typically it's in
-`~/Arduino/libraries` on Linux, `~/Documents/Arduino/libraries/` on MacOS, and
-`My Documents\Arduino\Libraries` on Windows.
-
-Once you're in that folder in the terminal, you can then grab the code using the
-git command line tool:
-
-```
-git clone https://github.com/tensorflow/tflite-micro-arduino-examples Arduino_TensorFlowLite
-```
-
-To update your clone of the repository to the latest code, use the following terminal commands:
-```
-cd Arduino_TensorFlowLite
-git pull
-```
-
-### Checking your Installation
-
-Once the library has been installed, you should then start the Arduino IDE.
-You will now see an `Arduino_TensorFlowLite`
-entry in the `File -> Examples` menu of the Arduino IDE. This submenu contains a list
-of sample projects you can try out.
-
-![Hello World](docs/hello_world_screenshot.png)
-
-## Compatibility
-
-This library is designed for the `Arduino Nano 33 BLE Sense` board. The framework
-code for running machine learning models should be compatible with most Arm Cortex
-M-based boards, such as the `Raspberry Pi Pico`, but the code to access peripherals
-like microphones, cameras, and accelerometers is specific to the `Nano 33 BLE Sense`.
+This repository has the code (including examples) needed to use Tensorflow Lite Micro on [RTduino](https://github.com/RTduino/RTduino).
 
 ## License
 
 This code is made available under the Apache 2 license.
-
-## Contributing
-
-Forks of this library are welcome and encouraged. If you have bug reports or
-fixes to contribute, the source of this code is at [https://github.com/tensorflow/tflite-micro](http://github.com/tensorflow/tflite-micro)
-and all issues and pull requests should be directed there.
-
-The code here is created through an automatic project generation process
-and may differ from
-that source of truth, since it's cross-platform and needs to be modified to
-work within the Arduino IDE.