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Basic Tensorflow-Lite usecase and wrapping library for Android

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TLDroid : Basic Tensorflow-Lite usecase and wrapping library for Android

TLDroid is a simple usecase of multiple machine-learning based service, such as image classification, speech sentiment analysis and others by using Tensorflow-lite.

It contains various wrapping android library (also for gradle implement by jCenter) for some usage, and prebuilt module that we used in Mercy-App to classify real-time object in image and video.

This project was originally developed by the developers of Mercy-Project, who are actively engaged in machine learning research and development.

You can also check out the following projects developed by Mercy-Project.

Project list developed by Mercy
korean-text-sentiment-analysis
korean-image-sentiment-analysis
korean-audio-sentiment-analysis
mercy-emotion-app

Contribution Guide

If you want to contribute to TL-Droid, be sure to review the contribution gudeline. We have our own branch strategy and coding convention. Fore general questions and discussion, please contact us with our offical email

  1. Kotlin Style Guide
  2. Naming Policy
  3. XML Style Guide
  4. Branch Strategy
  5. Github Label
  6. Release Strategy

This guideline is not mandatory. If you make some of pull request which is not match with this guideline, we surely check your pull request and update our contribute guideline.

Official Builds

Library / Application name Build Status Build Type
app not yet gradle, Android application
core not yet gradle, Android library
classification not yet gradle, Android library

Official Contributors

@mercy-project

Mercy-Project Members
izen1231
rapsealk
skfo763
howtowhy

License

Apache License 2.0

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Basic Tensorflow-Lite usecase and wrapping library for Android

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