TensorFlow Lite object detection

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

That being said, your TFLite interpreter can run CPU models too (all we did was add the experimental delegate to handle that edgetpu-custom-op). To run the CPU version, simply pass the CPU version of the model (before it was compiled).

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.

You can use TensorFlow Lite Python interpreter to load the tflite model in a python shell , and test it with your input data.