Comments (5)
Run this build on a server then have your android app hit an API to parse.
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TensorFlow (the C/C++ core) already has native Android support. Any of the Python code on top of it would need to be ported to Java, but the core is portable. There's an example of an Android app at https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android
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What do you plan to use Tensor to accomplish? I can't really think of many reasons other than the example code to utilize it on-device as opposed to a more capable API server. Tensor is pretty heavy.
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@jgadsby did the responses here answer your question sufficiently?
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Closing due to lack of activity. Please reopen if you have more questions.
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Related Issues (20)
- TypeError: unhashable type: 'list'. When running "model_builder_tf2_test.py" HOT 8
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