upd nnlib.py
This commit is contained in:
+1
-1
@@ -463,7 +463,7 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
|
|||||||
mask = self.mask
|
mask = self.mask
|
||||||
if self.is_mse:
|
if self.is_mse:
|
||||||
blur_mask = tf_gaussian_blur(max(1, mask.get_shape().as_list()[1] // 32))(mask)
|
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:
|
else:
|
||||||
return (1.0 - (tf.image.ssim (y_true*mask, y_pred*mask, 1.0))) / 2.0
|
return (1.0 - (tf.image.ssim (y_true*mask, y_pred*mask, 1.0))) / 2.0
|
||||||
nnlib.DSSIMMSEMaskLoss = DSSIMMSEMaskLoss
|
nnlib.DSSIMMSEMaskLoss = DSSIMMSEMaskLoss
|
||||||
|
|||||||
Reference in New Issue
Block a user