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.
Read moreWhat can TensorFlow Lite detect?
The pre-trained models we provide are trained to detect 90 classes of objects . For a full list of classes, see the labels file in the model metadata. You can use a technique known as transfer learning to re-train a model to recognize classes not in the original set.18 May 2021
Read moreWhat models does TFLite support?
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. It works cross-Platform and is supported on Java, C++ (WIP), and Swift (WIP) .
Read moreHow do I create a TensorFlow model?
Create your model
Read moreWhat is a TFLite model?
TensorFlow Lite is Google’s machine learning framework to deploy machine learning models on multiple devices and surfaces such as mobile (iOS and Android), desktops and other edge devices.
Read moreCan TensorFlow run on Android?
TensorFlow is a multipurpose machine learning framework. TensorFlow can be used anywhere from training huge models across clusters in the cloud, to running models locally on an embedded system like your phone. This codelab uses TensorFlow Lite to run an image recognition model on an Android device .
Read moreHow do I use TensorFlow Lite model?
Detailed Process
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