TensorFlow Lite

These are the steps needed to set up TensorFlow Lite:

These are the steps we are going to do:

Tensorflow Lite Converter converts a Tensorflow model to Tensorflow Lite flat buffer file (. tflite). Tensorflow Lite flat buffer file is deployed to the client, which in our cases can be a mobile device running on iOS or Android or an embedded device.

Build and deploy a custom object detection model with TensorFlow Lite (Android)

Build and deploy a custom object detection model with TensorFlow Lite (Android)

You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.8 Haz 2018