Want to OpenCV and TensorFlow on the MaaXBoard? These guides will get you started:
Getting Started with MaaXBoard - Headless Setup
- Setup the MaaXBoard over UART so you can access it via SSH. Then setup remote desktop.
Setting Up OpenCV on the MaaXBoard
- Get OpenCV set up on your MaaXBoard.
Setting Up TensorFlow on the MaaXBoard
- Get machine learning running on your MaaXBoard using Tensorflow.
Build Tensorflow for MaaXBoard
- Build a Tensorflow wheel that runs on MaaXBoard and MaaXBoard Mini
Installing and Using Tensorflow Lite on MaaXBoard
- The Tensorflow Lite interpreter makes sense for edge devices like the MaaXBoard. Here's how to set it up.
Installing Tensorflow Lite C++ Interpreter on MaaXBoard
- Here's how to cross-compile and install the Tensorflow Lite C++ API on MaaXBoard running Debian OS.
Use OpenCV with Android on MaaXBoard
- Do image recognition using OpenCV in an Android app on the MaaXBoard!
Running Machine Learning on MaaXBoard's Yocto Image: Part 1
- The ML Yocto image includes an eIQ layer that delegates your model so you can run machine learning inference efficiently on the MaaXBoard.
Analyze Accelerometer Data on MaaXBoard with Edge Impulse
- Edge Impulse makes it easy to get started with ML, and it runs on MaaXBoard! Use CircuitPython (Adafruit Blinka) and Edge Impulse to collect and train a model using accelerometer data from Avnet's MaaXBoard. You can also install the Edge Impulse Linux SDK for Python on MaaXBoard.
Good luck with your MaaXBoard ML projects! Please post anything cool you build in the comments :-)
