Coral Edu projects for Raspberry Pi with simplified vision API

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  1. 60f7747 update readme and setup URL by Scott Main · 4 days ago main
  2. 0440454 update reference docs for package rename by Scott Main · 4 days ago
  3. ed9f212 package name refactor to aiymakerkit by Scott Main · 5 days ago
  4. 1bb3fe3 pure format cleanup by Scott Main · 2 months ago
  5. 606c1bb remove make_interpreter() in favor of pycoral version by Scott Main · 2 months ago

AIY Maker Kit API and examples

The aiymakerkit Python APIs in this repo greatly simplify the amount of code required to perform common operations with TensorFlow Lite models, such as running inference with image classification, object detection, and pose estimation models. It also includes scripts to collect training images and perform transfer learning with an image classification model.

This project is designed specifically for a Raspberry Pi with a Coral USB Accelerator and a camera (though it may be repurposed for other systems as well).

For detailed documentation using the Raspberry Pi, including the aiymakerkit API reference, see https://g.co/coral/kit-guide.

Install

If you're on a Raspberry Pi, follow the setup guide at https://g.co/coral/kit-guide.

For other manual installs, you must first install the libedgetpu and pycoral libraries. And we assume you are using the Coral USB Accelerator, so follow the instructions here.

Then clone this repo and install as follows:

git clone https://github.com/google-coral/aiy-maker-kit.git

cd aiymakerkit

python3 -m pip install .