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
List of versions and changes can be found in this changelog.
Install the Edge Impulse Python SDK:
pip install edgeimpulseEstimate 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.