Edge Impulse SDK
The official Python SDK for Edge Impulse is designed to help machine learning practitioners build and deploy models for embedded hardware and edge AI applications.
- Profile your model to estimate RAM, ROM, and inference speed
- Convert your model to C++ to deploy on edge hardware
- Interact with Edge Impulse projects to collect data, train models, and deploy them to edge devices
Getting Started
Install the Edge Impulse Python SDK:
pip install edgeimpulse
Estimate RAM, ROM, and inference speed for a variety of hardware platforms:
import edgeimpulse as ei
# Change to an API key from your Edge Impulse project
ei.API_KEY = "your-api-key"
# Print inference estimates
result = ei.model.profile(model="path/to/model")
result.summary()
To learn about the full functionality, see the resources below.
Resources
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