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Colombo 2020-02-28 19:31:33 +04:00
parent f88c45d338
commit c1bf3f53ba
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facelib/LandmarksProcessor.py
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@ -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