diff --git a/README.md b/README.md
index 5d4402f..84d4db3 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-![](doc/DFL_welcome.jpg)
+![](doc/DFL_welcome.jpg)
 
 ![](doc/logo_cuda.jpg)![](doc/logo_opencl.jpg)![](doc/logo_keras.jpg)![](doc/logo_tensorflow.jpg)![](doc/logo_plaidml.jpg)
 
@@ -10,12 +10,6 @@ If you like this software, please consider a donation.
 
 GOAL: next DeepFacelab update.
 
-[Donate via Yandex.Money](https://money.yandex.ru/to/41001142318065)
-
-[Donate via Paypal](https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=lepersorium@gmail.com&lc=US&no_note=0&item_name=Support+DeepFaceLab&cn=&curency_code=USD&bn=PP-DonationsBF:btn_donateCC_LG.gif:NonHosted)
-                    
-bitcoin:31mPd6DxPCzbpCMZk4k1koWAbErSyqkAXr
-
 - ### [Gallery](doc/gallery/doc_gallery.md)
 
 - ### Manuals:
diff --git a/facelib/LandmarksProcessor.py b/facelib/LandmarksProcessor.py
index 7c0b697..d34c6b3 100644
--- a/facelib/LandmarksProcessor.py
+++ b/facelib/LandmarksProcessor.py
@@ -143,21 +143,21 @@ def get_transform_mat (image_landmarks, output_size, face_type, scale=1.0):
         face_type = FaceType.FULL
         remove_align = True
     
-    if face_type == FaceType.HALF:
-        padding = 0
-    elif face_type == FaceType.FULL:
-        padding = (output_size / 64) * 12
-    elif face_type == FaceType.HEAD:
-        padding = (output_size / 64) * 24
-    else:
-        raise ValueError ('wrong face_type: ', face_type)
+        if face_type == FaceType.HALF:
+            padding = 0
+        elif face_type == FaceType.FULL:
+            padding = (output_size / 64) * 12
+        elif face_type == FaceType.HEAD:
+            padding = (output_size / 64) * 24
+        else:
+            raise ValueError ('wrong face_type: ', face_type)
+
+        mat = umeyama(image_landmarks[17:], landmarks_2D, True)[0:2]
+        mat = mat * (output_size - 2 * padding)
+        mat[:,2] += padding
+        mat *= (1 / scale)
+        mat[:,2] += -output_size*( ( (1 / scale) - 1.0 ) / 2 )
 
-    mat = umeyama(image_landmarks[17:], landmarks_2D, True)[0:2]
-    mat = mat * (output_size - 2 * padding)
-    mat[:,2] += padding
-    mat *= (1 / scale)
-    mat[:,2] += -output_size*( ( (1 / scale) - 1.0 ) / 2 )
-    
     if remove_align:
         bbox = transform_points ( [ (0,0), (0,output_size-1), (output_size-1, output_size-1), (output_size-1,0) ], mat, True)
         area = mathlib.polygon_area(bbox[:,0], bbox[:,1] )
@@ -209,7 +209,7 @@ def get_image_hull_mask (image_shape, image_landmarks, ie_polys=None):
 
     for item in parts:
         merged = np.concatenate(item)
-        cv2.fillConvexPoly(hull_mask, cv2.convexHull(merged), 1)
+        cv2.fillConvexPoly(hull_mask, cv2.convexHull(merged), 255.)  # pylint: disable=no-member
 
     if ie_polys is not None:
         ie_polys.overlay_mask(hull_mask)
@@ -321,7 +321,7 @@ def draw_landmarks (image, image_landmarks, color=(0,255,0), transparent_mask=Fa
         mask = get_image_hull_mask (image.shape, image_landmarks, ie_polys)
         image[...] = ( image * (1-mask) + image * mask / 2 )[...]
 
-def draw_rect_landmarks (image, rect, image_landmarks, face_size, face_type, transparent_mask=False, ie_polys=None, landmarks_color=(0,255,0)):
+def draw_rect_landmarks (image, rect, image_landmarks, face_size, face_type, transparent_mask=False, ie_polys=None, landmarks_color=(0,255,0) ):
     draw_landmarks(image, image_landmarks, color=landmarks_color, transparent_mask=transparent_mask, ie_polys=ie_polys)
     imagelib.draw_rect (image, rect, (255,0,0), 2 )
 
diff --git a/requirements-cuda.txt b/requirements-cuda.txt
index 5e50c09..a62ef4a 100644
--- a/requirements-cuda.txt
+++ b/requirements-cuda.txt
@@ -2,7 +2,7 @@ numpy==1.16.3
 h5py==2.9.0
 Keras==2.2.4
 opencv-python==4.0.0.21
-tensorflow-gpu==1.12.0
+tensorflow-gpu==1.14.0
 plaidml==0.6.0
 plaidml-keras==0.5.0
 scikit-image