A Python Demo Framework for eIQ on i.MX Processors
PyeIQ is written on top of eIQ ML Software Development Environment and provides a set of Python classes allowing the user to run Machine Learning applications in a simplified and efficient way without spending time on cross-compilations, deployments, or reading extensive guides.
This project will help you with the proof of concept and should not be considered production-ready.
- Please, read the LICENSE;
- Please, read the documentation;
- For further questions, please post a comment on eIQ Community.
Samples
| Object Classification (~3ms) | Object Detection (~15ms) |
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Official Releases
| PyeIQ Version | Release Date | i.MX Board | BSP Release | Status | Notes |
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Apr 29, 2020 |  |
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PoC |
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Jun 30, 2020 | |
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Stable |
Getting Started
Installation for Users
Quick Installation using PyPI
- Use pip3 tool to install the package located at PyPI repository:
# pip3 install eiq
- NOTE: Use the pyeiq manager tool to run the demos and applications.
Available Demos
| Demo Name | Framework | i.MX Board | BSP Release | Inference Core | Status |
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| Object Classification |  |
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| Object Detection SSD | |
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| Object Detection YOLOv3 | |
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| Object Detection DNN |  |
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| Facial Expression Detection | |
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| Fire Classification | |
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| Fire Classification |  |
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| Pose Detection | |
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| Face/Eyes Detection | |
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Available Applications
| Application Name | Framework | i.MX Board | BSP Release | Inference Core | Status |
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| Switch Classification Image | |
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| Switch Detection Video | |
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