# MediaPipe subgraph to calculate region of interest (ROI) which is then can
# be used to calculate iris landmarks and eye contour landmarks.
#
# NOTE: this graph is subject to change and should not be used directly.

type: "IrisLandmarkLandmarksToRoi"

# List of two normalized landmarks: left and right corners of an eye.
# (NormalizedLandmarkList)
input_stream: "LANDMARKS:landmarks"
# Image size. (std::pair<int, int>)
input_stream: "IMAGE_SIZE:image_size"

# ROI (region of interest) within the given image where an eye is located.
# (NormalizedRect)
output_stream: "ROI:roi"

node {
  calculator: "LandmarksToDetectionCalculator"
  input_stream: "NORM_LANDMARKS:landmarks"
  output_stream: "DETECTION:detection"
}

node {
  calculator: "DetectionsToRectsCalculator"
  input_stream: "DETECTION:detection"
  input_stream: "IMAGE_SIZE:image_size"
  output_stream: "NORM_RECT:raw_roi"
  options: {
    [mediapipe.DetectionsToRectsCalculatorOptions.ext] {
      rotation_vector_start_keypoint_index: 0
      rotation_vector_end_keypoint_index: 1
      rotation_vector_target_angle_degrees: 0
    }
  }
}

node {
  calculator: "RectTransformationCalculator"
  input_stream: "NORM_RECT:raw_roi"
  input_stream: "IMAGE_SIZE:image_size"
  output_stream: "roi"
  options: {
    [mediapipe.RectTransformationCalculatorOptions.ext] {
      scale_x: 2.3
      scale_y: 2.3
      square_long: true
    }
  }
}