Solution 1 :
First, add the model into the assets folder. Alternatively, you can directly download the model from TFHub in the similar way as the models in download.gradle.
Then if you use Task library to run inference (which is simpler), you will need to add a similar class of ClassifierFloatEfficientNet.java and provide the model info. Register your new class in Classifier.java .
If you use the TFLite Support library to run inference, you’ll add the new class like this one.
Problem :
I cloned the Tensorflow’s Android image classification example and I want to now use my own tflite that I have downloaded from here to classify food. How do I replace the default tflites with my own tflite? I only have one tflite while in the Android example there’s a couple so I’m not sure which tflite to get rid of.
