31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
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import sys
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import os
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def explain():
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print('This converter can be used to transform keras models in the .h5 format into a tflite flatbuffer model .tflite\n')
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print('\tIt must be called like in this exampple: python keras2tflite.py /path/to/input_model.h5 ./output_model.tflite\n')
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print('\tArguments expected: 2\n\tArguments received: ' + str(len(sys.argv))-1)
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versions()
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def versions(k=''):
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print(k + 'Python version >= 3.x')
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print(k + 'Keras model version >= 2.2.4')
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print(k + 'TensorFlow Lite version >= 1.11')
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print(k + 'TensorFlow version >= 1.14.x')
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if len(sys.argv) != 3:
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explain()
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else:
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# Converting a tf.Keras model to a TensorFlow Lite model.
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try:
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os.system('tflite_convert \
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--keras_model_file='+sys.argv[1]+' \
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--output_file='+sys.argv[2])
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except Exception as e:
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print('\nError in the conversion to TFLite:\n' + str(e) + '\n')
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except IOError as e:
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print('\nError when trying to save the model:\n' + str(e) +'\n')
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else:
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print('\nModel saved!\n')
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