Local (over window) normalized cross correlation loss. """ def __init__(self, win=None): self.win = win def loss(self, y_true, y_pred): I = y_true J = y_pred # get dimension of volume # assumes I, J are sized [batch_size, *vol_shape, nb_feats] ndims = len(list(I.si...
Local (over window) normalized cross correlation loss. """def__init__(self, win=None): self.win = windefloss(self, y_true, y_pred): I = y_true J = y_pred# get dimension of volume# assumes I, J are sized [batch_size, *vol_shape, nb_feats]ndims =len(list(I.size())) -2...
Local (over window) normalized cross correlation loss.“”" def __init__(self, win=None): self.win = win def loss(self, y_true, y_pred): I = y_true J = y_pred # get dimension of volume # assumes I, J are sized [batch_size, *vol_shape, nb_feats] ndims = len(list(I.si...
Local (over window) normalized cross correlation loss. """ def __init__(self, win=None): self.win = win def loss(self, y_true, y_pred): I = y_true J = y_pred # get dimension of volume # assumes I, J are sized [batch_size, *vol_shape, nb_feats] ndims = len(list(I.si...