Bring Your Own Model Into Edge Impulse with ONNX

Want to use a novel ML architecture, or load your own transfer learning models into Edge Impulse? Bring your own model! This feature, which released during Imagine 2022, lets you bring any training pipeline into the Studio — whether written in PyTorch, Keras or scikit-learn — and then treat it like any of our built-in model types. So you can retrain with your own data, and deploy to every MCU or MPU under the sun with full hardware acceleration.


This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/bring-your-own-model-into-edge-impulse-with-onnx