upd nnlib.py

This commit is contained in:
iperov 2019-02-11 21:29:30 +04:00
parent 6c944d8989
commit d8833e929e

View file

@ -463,7 +463,7 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
mask = self.mask
if self.is_mse:
blur_mask = tf_gaussian_blur(max(1, mask.get_shape().as_list()[1] // 32))(mask)
return K.mean ( 100*K.square( y_true*blur_mask - y_pred*blur_mask ) )
return K.mean ( 10*K.square( y_true*blur_mask - y_pred*blur_mask ) )
else:
return (1.0 - (tf.image.ssim (y_true*mask, y_pred*mask, 1.0))) / 2.0
nnlib.DSSIMMSEMaskLoss = DSSIMMSEMaskLoss