# MediaPipe graph to load a selected face landmarks TF Lite model.

type: "FaceLandmarksModelLoader"

# Whether to run face mesh model with attention on lips and eyes. (bool)
# Attention provides more accuracy on lips and eye regions as well as iris
# landmarks.
input_side_packet: "WITH_ATTENTION:with_attention"

# TF Lite model represented as a FlatBuffer.
# (std::unique_ptr<tflite::FlatBufferModel, std::function<void(tflite::FlatBufferModel*)>>)
output_side_packet: "MODEL:model"

# Determines path to the desired face landmark model file based on specification
# in the input side packet.
node {
  calculator: "SwitchContainer"
  input_side_packet: "ENABLE:with_attention"
  output_side_packet: "PACKET:model_path"
  options: {
    [mediapipe.SwitchContainerOptions.ext] {
      contained_node: {
        calculator: "ConstantSidePacketCalculator"
        options: {
          [mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
            packet {
              string_value: "mediapipe/modules/face_landmark/face_landmark.tflite"
            }
          }
        }
      }
      contained_node: {
        calculator: "ConstantSidePacketCalculator"
        options: {
          [mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
            packet {
              string_value: "mediapipe/modules/face_landmark/face_landmark_with_attention.tflite"
            }
          }
        }
      }
    }
  }
}

# Loads the file in the specified path into a blob.
node {
  calculator: "LocalFileContentsCalculator"
  input_side_packet: "FILE_PATH:model_path"
  output_side_packet: "CONTENTS:model_blob"
}

# Converts the input blob into a TF Lite model.
node {
  calculator: "TfLiteModelCalculator"
  input_side_packet: "MODEL_BLOB:model_blob"
  output_side_packet: "MODEL:model"
}