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.
Object Classification (~3ms) | Object Detection (~15ms) |
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PyeIQ Version | Release Date | i.MX Board | BSP Release | Status | Notes |
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Apr 29, 2020 | PoC | ||||
Jun 30, 2020 | Stable |
# pip3 install eiq
Demo Name | Framework | i.MX Board | BSP Release | Inference Core | Status |
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Object Classification | |||||
Object Detection SSD | |||||
Object Detection YOLOv3 | |||||
Object Detection DNN | |||||
Facial Expression Detection | |||||
Fire Classification | |||||
Fire Classification | |||||
Pose Detection | |||||
Face/Eyes Detection |
Application Name | Framework | i.MX Board | BSP Release | Inference Core | Status |
---|---|---|---|---|---|
Switch Classification Image | |||||
Switch Detection Video |
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