Created
June 17, 2022 20:30
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Converting model to Tensorflow Lite
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| from tensorflow import keras | |
| import pathlib | |
| test_model = keras.models.load_model(f"{hotDogDir}hotdog_classifier_v4.keras") | |
| converter = tensorflow.lite.TFLiteConverter.from_keras_model(test_model) | |
| tflite_model = converter.convert() | |
| tflite_models_dir = pathlib.Path(f"{hotDogDir}") | |
| tflite_models_dir.mkdir(exist_ok=True, parents=True) | |
| tflite_model_file = tflite_models_dir/"hotdog_classifier.tflite" | |
| tflite_model_file.write_bytes(tflite_model) | |
| converter.optimizations = [tensorflow.lite.Optimize.DEFAULT] | |
| tflite_quant_model = converter.convert() | |
| tflite_model_quant_file = tflite_models_dir/"hotdog_classifier.tflite" | |
| tflite_model_quant_file.write_bytes(tflite_quant_model) |
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