resunet/utils.py
def load_model(fname, weights):
    """
    Loads keras model from saved files.

    Parameters
    ----------
    fname : str
        JSON file name containing saved model architecture.
    weights : str
        h5 file name containing saved model weights.

    Returns
    -------
    model :
        Previously trained model.
    """

    with open(str(fname), 'r') as f:
        model = model_from_json(f.read())

    model.load_weights(str(weights))

    return model

    Loads keras model from saved files.

    Parameters
    ----------
    fname : str
        JSON file name containing saved model architecture.
    weights : str
        h5 file name containing saved model weights.

    Returns
    -------
    model :
        Previously trained model.
    
Loads keras model from saved files.
Parameters

fname : str
JSON file name containing saved model architecture.
weights : str
h5 file name containing saved model weights.

Returns

model :
Previously trained model.
Loads keras model from saved files . Parameters fname : str JSON file name containing saved model architecture . weights : str h5 file name containing saved model weights . Returns model : Previously trained model .
def load_model(fname, weights):
    with open(str(fname), 'r') as f:
        model = model_from_json(f.read())
    model.load_weights(str(weights))
    return model
def load_model ( fname , weights ) : with open ( str ( fname ) , 'r' ) as f : model = model_from_json ( f . read ( ) ) model . load_weights ( str ( weights ) ) return model
Loads keras model from saved files.
Loads keras model from saved files .
"""
    Loads keras model from saved files.

    Parameters
    ----------
    fname : str
        JSON file name containing saved model architecture.
    weights : str
        h5 file name containing saved model weights.

    Returns
    -------
    model :
        Previously trained model.
    """
fname
weights