TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.
Project description
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.
This PyPI package includes the Python bindings for following features:
- Task Library: a set of powerful and easy-to-use task-specific libraries to integrate TFLite models onto various platforms. See the Task Library documentation for more information.
- Metadata schemas: wraps TFLite model schema and metadata schema in Python.
- Metadata writer and displayer: can be used to populate the metadata and associated files into the model, as well as converting the populated metadata into the json format. See the Metadata documentation for more information.
- Android Codegen tool: generates the Java model interface used in Android for a particular model. See the Codegen tool documentation for more information.
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