def resample(data, shape):
if isinstance(interpolation, UnsupportedPackage):
interpolation.raise_error("segmentation_prediction_resample")
if len(data.shape) != len(shape):
raise RuntimeError('Dimensions of input array and shape are different. Resampling is impossible.')
factor = [float(o) / i for i, o in zip(data.shape, shape)]
return interpolation.zoom(data, zoom=factor, order=1)
def configure(self):
if isinstance(interpolation, UnsupportedPackage):
interpolation.raise_error(self.__provider__)
self.shape = self._check_size(
get_or_parse_value(self.config.get('size'),
default=(128, 128, 128),
casting_type=int))