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
List of versions and changes can be found in this changelog.
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
2 maintainers
Release files for edgeimpulse 1.0.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| edgeimpulse-1.0.20.tar.gz | 51.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| edgeimpulse-1.0.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 117.6 kB
Release files / edgeimpulse-1.0.20.tar.gz
| Download URL | edgeimpulse-1.0.20.tar.gz |
|---|---|
| Size | 51.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.4.0 CPython/3.10.14 Linux/6.1.168-203.330.amzn2023.x86_64
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Release files / edgeimpulse-1.0.20-py3-none-any.whl
| Download URL | edgeimpulse-1.0.20-py3-none-any.whl |
|---|---|
| Size | 66.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.4.0 CPython/3.10.14 Linux/6.1.168-203.330.amzn2023.x86_64
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