Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

An edge inference library on embedded device with EPU designed by

Project description

An edge inference library on embedded device that contains Edge EPU coprocessor. It’s ideal for prototyping new projects that demand fast on-device inferencing for machine learning models. tflex library provides three command line tools: tflexconverter is provided to convert .pb/.h5 model to .tflex model directly supported on EPU, tflexviewer is supplied to display the network architecture(.pb and .tflex file are both supported) more intuitively based on advanced tensorboard, and tflexverify is used to validate whether the model was converted successfully. That is, when a pre-trained or custom model are prepared, then you can use tflexconverter command to convert the model to EPU format, and deploy the model in your device for inference.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for tflex, version 1.0.0rc6
Filename, size File type Python version Upload date Hashes
Filename, size tflex-1.0.0rc6-py2.py3-none-any.whl (53.6 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page