# MediaPipe graph that performs face mesh on desktop with TensorFlow Lite
# on CPU.

# Path to the input video file. (string)
input_side_packet: "input_video_path"
# Path to the output video file. (string)
input_side_packet: "output_video_path"

# max_queue_size limits the number of packets enqueued on any input stream
# by throttling inputs to the graph. This makes the graph only process one
# frame per time.
max_queue_size: 1

# Decodes an input video file into images and a video header.
node {
  calculator: "OpenCvVideoDecoderCalculator"
  input_side_packet: "INPUT_FILE_PATH:input_video_path"
  output_stream: "VIDEO:input_video"
  output_stream: "VIDEO_PRESTREAM:input_video_header"
}

# Defines side packets for further use in the graph.
node {
  calculator: "ConstantSidePacketCalculator"
  output_side_packet: "PACKET:0:num_faces"
  output_side_packet: "PACKET:1:with_attention"
  node_options: {
    [type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
      packet { int_value: 1 }
      packet { bool_value: true }
    }
  }
}

# Subgraph that detects faces and corresponding landmarks.
node {
  calculator: "FaceLandmarkFrontCpu"
  input_stream: "IMAGE:input_video"
  input_side_packet: "NUM_FACES:num_faces"
  input_side_packet: "WITH_ATTENTION:with_attention"
  output_stream: "LANDMARKS:multi_face_landmarks"
  output_stream: "ROIS_FROM_LANDMARKS:face_rects_from_landmarks"
  output_stream: "DETECTIONS:face_detections"
  output_stream: "ROIS_FROM_DETECTIONS:face_rects_from_detections"
}

# Subgraph that renders face-landmark annotation onto the input video.
node {
  calculator: "FaceRendererCpu"
  input_stream: "IMAGE:input_video"
  input_stream: "LANDMARKS:multi_face_landmarks"
  input_stream: "NORM_RECTS:face_rects_from_landmarks"
  input_stream: "DETECTIONS:face_detections"
  output_stream: "IMAGE:output_video"
}

# Encodes the annotated images into a video file, adopting properties specified
# in the input video header, e.g., video framerate.
node {
  calculator: "OpenCvVideoEncoderCalculator"
  input_stream: "VIDEO:output_video"
  input_stream: "VIDEO_PRESTREAM:input_video_header"
  input_side_packet: "OUTPUT_FILE_PATH:output_video_path"
  node_options: {
    [type.googleapis.com/mediapipe.OpenCvVideoEncoderCalculatorOptions]: {
      codec: "avc1"
      video_format: "mp4"
    }
  }
}