Adding an AI Style Transfer TensorFlow Lite Model to an Android App

Abdulkader Helwan

Rate me:

4.75/5 (4 votes)

28 Jul 2021CPOL4 min read

6.9K

In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.

Here load our TensorFlow Lite (.tflite) model to Android Studio and choose the right TensorFlow Lite Android Support Library to run the inference.

Views

Daily Counts

This article is part of the series 'Mobile Image-to-Image Translation ◁ Prev View All

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Abdulkader Helwan

Engineer

Lebanon

Dr. Helwan is a machine learning and medical image analysis enthusiast.

His research interests include but not limited to Machine and deep learning in medicine, Medical computational intelligence, Biomedical image processing, and Biomedical engineering and systems.

Adding an AI Style Transfer TensorFlow Lite Model to an Android App

Views

License

Comments and Discussions