Function ssim_loss

src/models/loss.py:37–38

(y_true, y_pred)

def ssim_loss(y_true, y_pred):
    return tf.reduce_mean(1.0 - tf.image.ssim(y_true, y_pred, 2.0))


def DISLoss(y_true, y_pred):