add comment
This commit is contained in:
@@ -272,6 +272,7 @@ def get_transform_mat (image_landmarks, output_size, face_type, scale=1.0):
|
||||
mod = (1.0 / scale)* ( npla.norm(g_p[0]-g_p[2])*(padding*np.sqrt(2.0) + 0.5) )
|
||||
|
||||
if face_type == FaceType.WHOLE_FACE:
|
||||
# adjust center for WHOLE_FACE, 7% below in order to cover more forehead
|
||||
vec = (g_p[0]-g_p[3]).astype(np.float32)
|
||||
vec_len = npla.norm(vec)
|
||||
vec /= vec_len
|
||||
|
||||
Reference in New Issue
Block a user