Method predict_3D

Use this function to predict a 3D image. It does not matter whether the network is a 2D or 3D U-Net, it will detect that automatically and run the appropriate code. When running predictions, you need to specify whether you want to run fully convolutional of sliding window

(self, x: np.ndarray, do_mirroring: bool, mirror_axes: Tuple[int, ...] = (0, 1, 2),
                   use_sliding_window: bool = False,
                   step_size: float = 0.5, patch_size: Tuple[int, ...] = None, regions_class_order: Tuple[int, ...] = None,
                   use_gaussian: bool = False, pad_border_mode: str = "constant",
                   pad_kwargs: dict = None, all_in_gpu: bool = False,
                   verbose: bool = True, mixed_precision: bool = True)