data_loader_test.py 文件源码

def load_channels(self, normalize=False):

        modalities = []
        modalities.append(nib.load(self.FLAIR_FILE))
        modalities.append(nib.load(self.T1_FILE))
        modalities.append(nib.load(self.T1c_FILE))
        modalities.append(nib.load(self.T2_FILE))

        channels = np.zeros(modalities[0].shape + (4,), dtype=np.float32)

        if normalize:
            mask = self.load_ROI_mask()

        for index_mod, mod in enumerate(modalities):
            if self.data_augmentation_flag:
                channels[:, :, :, index_mod] = flip_plane(np.asarray(mod.dataobj), plane=self.data_augmentation)
            else:
                channels[:, :, :, index_mod] = np.asarray(mod.dataobj)

            if normalize:
                channels[:, :, :, index_mod] = normalize_image(channels[:, :, :, index_mod], mask=mask)

        return channels