The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment.
This plugin allows users to run a tflite model within onair. Currently the plugin generates random input data based on the model's input shapes. The 'render_reasoning` methods returns the outputs of a model inference on the random data.
These are the tflite models I've downloaded that I have tested this plugin with:
This plugin allows users to run a tflite model within onair. Currently the plugin generates random input data based on the model's input shapes. The 'render_reasoning` methods returns the outputs of a model inference on the random data.
These are the tflite models I've downloaded that I have tested this plugin with:
Current TODO List: