MAke CoreML model input and output size flexible

make_mlmodel_flexible.py

##https://heartbeat.fritz.ai/advanced-tips-for-core-ml-77c9e0231a9
from coremltools.models.neural_network import flexible_shape_utils

def make_mlmodel_flexible(spec, size_range=(100, 1920):
    """Make input and output sizes of a Core ML model flexible.
    Args:
        spec (NeuralNetwork_pb2): a Core ML neural network spec
        size_range ([Int]): a tuple containing the min and max input sizes.
    """
    size_range_spec = flexible_shape_utils.NeuralNetworkImageSizeRange()
    size_range_spec.add_width_range(size_range)
    size_range_spec.add_height_range(size_range)
    flexible_shape_utils.update_image_size_range(
        spec, feature_name='image', size_range=size_range_spec
    )

    size_range_spec = flexible_shape_utils.NeuralNetworkImageSizeRange()
    size_range_spec.add_width_range(size_range)
    size_range_spec.add_height_range(size_range)
    flexible_shape_utils.update_image_size_range(
        spec, feature_name='stylizedImage', size_range=size_range_spec
    )