Method predict_2D

Use this function to predict a 2D image. If this is a 3D U-Net it will crash because you cannot predict a 2D image with that (you dummy). When running predictions, you need to specify whether you want to run fully convolutional of sliding window based inference. We v

(self, x, do_mirroring: bool, mirror_axes: tuple = (0, 1, 2), use_sliding_window: bool = False,
                   step_size: float = 0.5, patch_size: tuple = None, regions_class_order: tuple = 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)