I want to modify facemesh example and implement another face_landmark model. I've explored face_landmark module, in face_landmark_gpu subgraph there are some node that made me confused. As far as I know, face_landmark_gpu is responsible for getting image and faces ROIs(obtained from face detection model) and putting landmark points on it. in this subgraph, there is a node for spliting output vector of inference calculator to 2 vector. first for landmark tensor and second for face_flag_tensor . the next node Converts the face_flag tensor into a float that represents the confidence. what confidence mean here? I believe face detection is responsile for face presence not landmark model.
my model gives a tensor of landmark points as output and no other output for confidence or face presence score. how can I use my model instead of default mediapipe ladmark? Any help is appreciated.