def project_landmarks_to_shape_model(landmarks):
final = []
for lms in landmarks:
lms = PointCloud(lms)
similarity = AlignmentSimilarity(pca.global_transform.source, lms)
projected_target = similarity.pseudoinverse().apply(lms)
target = pca.model.reconstruct(projected_target)
target = similarity.apply(target)
final.append(target.points)
return np.array(final).astype(np.float32)
