17 lines
524 B
Python
17 lines
524 B
Python
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import tensorflow as tf
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tf.compat.v1.logging.set_verbosity( tf.compat.v1.logging.ERROR )
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keras_model_path = input( "Enter Keras model file path > " )
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keras_model = tf.keras.models.load_model(keras_model_path)
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converter = tf.lite.TFLiteConverter.from_keras_model(keras_model)
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#converter = tf.lite.TFLiteConverter.from_keras_model( keras_model_path )
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converter.post_training_quantize = True
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tflite_buffer = converter.convert()
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open( 'android/model.tflite' , 'wb' ).write( tflite_buffer )
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print( 'TFLite model created.')
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