# MediaPipe graph to transform single tensor into 468 facial landmarks.

type: "TensorsToFaceLandmarks"

# Vector with a single tensor that contains 468 landmarks. (std::vector<Tensor>)
input_stream: "TENSORS:tensors"

# 468 facial landmarks (NormalizedLandmarkList)
output_stream: "LANDMARKS:landmarks"

# Decodes the landmark tensors into a vector of lanmarks, where the landmark
# coordinates are normalized by the size of the input image to the model.
node {
  calculator: "TensorsToLandmarksCalculator"
  input_stream: "TENSORS:tensors"
  output_stream: "NORM_LANDMARKS:landmarks"
  options: {
    [mediapipe.TensorsToLandmarksCalculatorOptions.ext] {
      num_landmarks: 468
      input_image_width: 192
      input_image_height: 192
    }
  }
}