# MediaPipe iris tracking rendering subgraph.
type: "IrisAndDepthRendererGpu"
input_stream: "IMAGE:input_image"
input_stream: "DETECTIONS:detections"
input_stream: "FACE_LANDMARKS:face_landmarks"
input_stream: "EYE_LANDMARKS_LEFT:all_left_eye_contour_landmarks"
input_stream: "EYE_LANDMARKS_RIGHT:all_right_eye_contour_landmarks"
input_stream: "IRIS_LANDMARKS_LEFT:left_iris_landmarks"
input_stream: "IRIS_LANDMARKS_RIGHT:right_iris_landmarks"
input_stream: "NORM_RECT:rect"
input_stream: "LEFT_EYE_RECT:left_eye_rect_from_landmarks"
input_stream: "RIGHT_EYE_RECT:right_eye_rect_from_landmarks"
input_side_packet: "FOCAL_LENGTH:focal_length_pixel"
output_stream: "IRIS_LANDMARKS:iris_landmarks"
output_stream: "IMAGE:output_image"
node {
calculator: "SplitNormalizedLandmarkListCalculator"
input_stream: "all_left_eye_contour_landmarks"
output_stream: "left_eye_contour_landmarks"
node_options: {
[type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] {
ranges: { begin: 0 end: 15 }
}
}
}
node {
calculator: "SplitNormalizedLandmarkListCalculator"
input_stream: "all_right_eye_contour_landmarks"
output_stream: "right_eye_contour_landmarks"
node_options: {
[type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] {
ranges: { begin: 0 end: 15 }
}
}
}
# Concatenate iris landmarks from both eyes.
node {
calculator: "ConcatenateNormalizedLandmarkListCalculator"
input_stream: "left_iris_landmarks"
input_stream: "right_iris_landmarks"
output_stream: "iris_landmarks"
}
# Converts landmarks to drawing primitives for annotation overlay.
node {
calculator: "FaceLandmarksToRenderDataCalculator"
input_stream: "NORM_LANDMARKS:face_landmarks"
output_stream: "RENDER_DATA:face_landmarks_render_data"
node_options: {
[type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] {
landmark_color { r: 150 g: 0 b: 0 }
connection_color { r: 0 g: 150 b: 0 }
thickness: 2
visualize_landmark_depth: false
}
}
}
node {
calculator: "ImagePropertiesCalculator"
input_stream: "IMAGE_GPU:input_image"
output_stream: "SIZE:image_size"
}
# Maps detection label IDs to the corresponding label text ("Face").
node {
calculator: "DetectionLabelIdToTextCalculator"
input_stream: "detections"
output_stream: "labeled_detections"
node_options: {
[type.googleapis.com/mediapipe.DetectionLabelIdToTextCalculatorOptions] {
label: "Face"
}
}
}
# Converts detections to drawing primitives for annotation overlay.
node {
calculator: "DetectionsToRenderDataCalculator"
input_stream: "DETECTIONS:labeled_detections"
output_stream: "RENDER_DATA:detection_render_data"
node_options: {
[type.googleapis.com/mediapipe.DetectionsToRenderDataCalculatorOptions] {
thickness: 4.0
color { r: 0 g: 255 b: 0 }
}
}
}
# Converts landmarks to drawing primitives for annotation overlay.
node {
calculator: "LandmarksToRenderDataCalculator"
input_stream: "NORM_LANDMARKS:left_eye_contour_landmarks"
output_stream: "RENDER_DATA:left_eye_contour_landmarks_render_data"
node_options: {
[type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] {
landmark_connections: 0
landmark_connections: 1
landmark_connections: 1
landmark_connections: 2
landmark_connections: 2
landmark_connections: 3
landmark_connections: 3
landmark_connections: 4
landmark_connections: 4
landmark_connections: 5
landmark_connections: 5
landmark_connections: 6
landmark_connections: 6
landmark_connections: 7
landmark_connections: 7
landmark_connections: 8
landmark_connections: 9
landmark_connections: 10
landmark_connections: 10
landmark_connections: 11
landmark_connections: 11
landmark_connections: 12
landmark_connections: 12
landmark_connections: 13
landmark_connections: 13
landmark_connections: 14
landmark_connections: 0
landmark_connections: 9
landmark_connections: 8
landmark_connections: 14
landmark_color { r: 255 g: 0 b: 0 }
connection_color { r: 255 g: 0 b: 0 }
visualize_landmark_depth: false
thickness: 2.0
}
}
}
# Converts landmarks to drawing primitives for annotation overlay.
node {
calculator: "LandmarksToRenderDataCalculator"
input_stream: "NORM_LANDMARKS:right_eye_contour_landmarks"
output_stream: "RENDER_DATA:right_eye_contour_landmarks_render_data"
node_options: {
[type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] {
landmark_connections: 0
landmark_connections: 1
landmark_connections: 1
landmark_connections: 2
landmark_connections: 2
landmark_connections: 3
landmark_connections: 3
landmark_connections: 4
landmark_connections: 4
landmark_connections: 5
landmark_connections: 5
landmark_connections: 6
landmark_connections: 6
landmark_connections: 7
landmark_connections: 7
landmark_connections: 8
landmark_connections: 9
landmark_connections: 10
landmark_connections: 10
landmark_connections: 11
landmark_connections: 11
landmark_connections: 12
landmark_connections: 12
landmark_connections: 13
landmark_connections: 13
landmark_connections: 14
landmark_connections: 0
landmark_connections: 9
landmark_connections: 8
landmark_connections: 14
landmark_color { r: 255 g: 0 b: 0 }
connection_color { r: 255 g: 0 b: 0 }
visualize_landmark_depth: false
thickness: 2.0
}
}
}
# Converts normalized rects to drawing primitives for annotation overlay.
node {
calculator: "RectToRenderDataCalculator"
input_stream: "NORM_RECT:rect"
output_stream: "RENDER_DATA:rect_render_data"
node_options: {
[type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] {
filled: false
color { r: 255 g: 0 b: 0 }
thickness: 4.0
}
}
}
node {
calculator: "RectToRenderDataCalculator"
input_stream: "NORM_RECT:right_eye_rect_from_landmarks"
output_stream: "RENDER_DATA:right_eye_rect_render_data"
node_options: {
[type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] {
filled: false
color { r: 255 g: 0 b: 0 }
thickness: 4.0
}
}
}
node {
calculator: "RectToRenderDataCalculator"
input_stream: "NORM_RECT:left_eye_rect_from_landmarks"
output_stream: "RENDER_DATA:left_eye_rect_render_data"
node_options: {
[type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] {
filled: false
color { r: 255 g: 0 b: 0 }
thickness: 4.0
}
}
}
node {
calculator: "IrisToDepthCalculator"
input_stream: "IRIS:iris_landmarks"
input_stream: "IMAGE_SIZE:image_size"
input_side_packet: "FOCAL_LENGTH:focal_length_pixel"
output_stream: "LEFT_IRIS_DEPTH_MM:left_iris_depth_mm"
output_stream: "RIGHT_IRIS_DEPTH_MM:right_iris_depth_mm"
}
node {
calculator: "IrisToRenderDataCalculator"
input_stream: "IRIS:iris_landmarks"
input_stream: "IMAGE_SIZE:image_size"
input_stream: "LEFT_IRIS_DEPTH_MM:left_iris_depth_mm"
input_stream: "RIGHT_IRIS_DEPTH_MM:right_iris_depth_mm"
output_stream: "RENDER_DATA:iris_render_data"
node_options: {
[type.googleapis.com/mediapipe.IrisToRenderDataCalculatorOptions] {
oval_color { r: 0 g: 0 b: 255 }
landmark_color { r: 0 g: 255 b: 0 }
oval_thickness: 4.0
landmark_thickness: 2.0
font_height_px: 50
horizontal_offset_px: 200
vertical_offset_px: 200
location: TOP_LEFT
}
}
}
# Draws annotations and overlays them on top of the input images.
node {
calculator: "AnnotationOverlayCalculator"
input_stream: "IMAGE_GPU:input_image"
input_stream: "detection_render_data"
input_stream: "face_landmarks_render_data"
input_stream: "right_eye_contour_landmarks_render_data"
input_stream: "left_eye_contour_landmarks_render_data"
input_stream: "iris_render_data"
output_stream: "IMAGE_GPU:output_image"
node_options: {
[type.googleapis.com/mediapipe.AnnotationOverlayCalculatorOptions] {
gpu_scale_factor: 0.5
}
}
}
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