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- import coremltools
- output_labels = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
- scale = 1 / 255.
- coreml_model = coremltools.converters.keras.convert('./mnist_cnn_keras.h5',
- input_names='image',
- image_input_names='image',
- output_names='output',
- class_labels=output_labels,
- image_scale=scale)
- coreml_model.author = 'sky'
- coreml_model.license = 'MIT'
- coreml_model.short_description = 'Model to classify hand written digit'
- coreml_model.input_description['image'] = 'Grayscale image of hand written digit'
- coreml_model.output_description['output'] = 'Predicted digit'
- coreml_model.save('mnistCNN.mlmodel')
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