def verify_face_to_face(face_id1, face_id2, custom_headers:nil)
      response = verify_face_to_face_async(face_id1, face_id2, custom_headers:custom_headers).value!
      response.body unless response.nil?
    end
def verify_face_to_face(face_id1, face_id2, custom_headers:nil)
      response = verify_face_to_face_async(face_id1, face_id2, custom_headers:custom_headers).value!
      response.body unless response.nil?
    end
Verify whether two faces belong to a same person or whether one face belongs
 to a person.
 <br/>
 Remarks:<br />
 * Higher face image quality means better identification precision. Please
 consider high-quality faces: frontal, clear, and face size is 200x200 pixels
 (100 pixels between eyes) or bigger.
 * For the scenarios that are sensitive to accuracy please make your own
 judgment.
 * The 'recognitionModel' associated with the query faces' faceIds should be
 the same as the 'recognitionModel' used by the target face, person group or
 large person group.


 @param face_id1 FaceId of the first face, comes from Face - Detect
 @param face_id2 FaceId of the second face, comes from Face - Detect
 @param custom_headers [Hash{String => String}] A hash of custom headers that
 will be added to the HTTP request.

 @return [VerifyResult] operation results.