coralkit 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
coralkit API reference, see https://g.co/coral/kit-guide.
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
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/coralkit.git cd coralkit python3 -m pip install .