manual extractor: increased FPS,

sort by final : now you can specify target number of images, converter: fix seamless mask and exception, huge refactoring
2019-02-28 11:56:31 +04:00
parent 7db469a1da
commit 438213e97c
30 changed files with 1834 additions and 1718 deletions
@@ -134,7 +134,7 @@ def get_transform_mat (image_landmarks, output_size, face_type, scale=1.0):
        elif face_type == FaceType.HEAD:
            padding = (output_size / 64) * 24
        else:
-            raise ValueError ('wrong face_type')
+            raise ValueError ('wrong face_type: ', face_type)
        
        mat = umeyama(image_landmarks[17:], landmarks_2D, True)[0:2]
        mat = mat * (output_size - 2 * padding)