255 lines
7.5 KiB
Plaintext
255 lines
7.5 KiB
Plaintext
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# MediaPipe iris tracking rendering subgraph.
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type: "IrisRendererCpu"
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input_stream: "IMAGE:input_image"
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input_stream: "DETECTIONS:detections"
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input_stream: "FACE_LANDMARKS:face_landmarks"
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input_stream: "EYE_LANDMARKS_LEFT:all_left_eye_contour_landmarks"
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input_stream: "EYE_LANDMARKS_RIGHT:all_right_eye_contour_landmarks"
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input_stream: "IRIS_LANDMARKS_LEFT:left_iris_landmarks"
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input_stream: "IRIS_LANDMARKS_RIGHT:right_iris_landmarks"
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input_stream: "NORM_RECT:rect"
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input_stream: "LEFT_EYE_RECT:left_eye_rect_from_landmarks"
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input_stream: "RIGHT_EYE_RECT:right_eye_rect_from_landmarks"
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output_stream: "IRIS_LANDMARKS:iris_landmarks"
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output_stream: "IMAGE:output_image"
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node {
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calculator: "SplitNormalizedLandmarkListCalculator"
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input_stream: "all_left_eye_contour_landmarks"
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output_stream: "left_eye_contour_landmarks"
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node_options: {
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[type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] {
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ranges: { begin: 0 end: 15 }
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}
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}
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}
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node {
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calculator: "SplitNormalizedLandmarkListCalculator"
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input_stream: "all_right_eye_contour_landmarks"
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output_stream: "right_eye_contour_landmarks"
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node_options: {
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[type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] {
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ranges: { begin: 0 end: 15 }
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}
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}
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}
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# Concatenate iris landmarks from both eyes.
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node {
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calculator: "ConcatenateNormalizedLandmarkListCalculator"
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input_stream: "left_iris_landmarks"
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input_stream: "right_iris_landmarks"
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output_stream: "iris_landmarks"
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}
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# Converts landmarks to drawing primitives for annotation overlay.
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node {
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calculator: "FaceLandmarksToRenderDataCalculator"
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input_stream: "NORM_LANDMARKS:face_landmarks"
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output_stream: "RENDER_DATA:face_landmarks_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] {
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landmark_color { r: 150 g: 0 b: 0 }
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connection_color { r: 0 g: 150 b: 0 }
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thickness: 2
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visualize_landmark_depth: false
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}
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}
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}
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node {
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calculator: "ImagePropertiesCalculator"
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input_stream: "IMAGE:input_image"
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output_stream: "SIZE:image_size"
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}
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# Maps detection label IDs to the corresponding label text ("Face").
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node {
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calculator: "DetectionLabelIdToTextCalculator"
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input_stream: "detections"
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output_stream: "labeled_detections"
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node_options: {
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[type.googleapis.com/mediapipe.DetectionLabelIdToTextCalculatorOptions] {
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label: "Face"
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}
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}
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}
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# Converts detections to drawing primitives for annotation overlay.
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node {
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calculator: "DetectionsToRenderDataCalculator"
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input_stream: "DETECTIONS:labeled_detections"
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output_stream: "RENDER_DATA:detection_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.DetectionsToRenderDataCalculatorOptions] {
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thickness: 4.0
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color { r: 0 g: 255 b: 0 }
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}
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}
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}
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# Converts landmarks to drawing primitives for annotation overlay.
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node {
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calculator: "LandmarksToRenderDataCalculator"
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input_stream: "NORM_LANDMARKS:left_eye_contour_landmarks"
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output_stream: "RENDER_DATA:left_eye_contour_landmarks_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] {
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landmark_connections: 0
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landmark_connections: 1
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landmark_connections: 1
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landmark_connections: 2
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landmark_connections: 2
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landmark_connections: 3
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landmark_connections: 3
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landmark_connections: 4
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landmark_connections: 4
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landmark_connections: 5
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landmark_connections: 5
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landmark_connections: 6
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landmark_connections: 6
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landmark_connections: 7
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landmark_connections: 7
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landmark_connections: 8
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landmark_connections: 9
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landmark_connections: 10
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landmark_connections: 10
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landmark_connections: 11
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landmark_connections: 11
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landmark_connections: 12
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landmark_connections: 12
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landmark_connections: 13
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landmark_connections: 13
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landmark_connections: 14
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landmark_connections: 0
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landmark_connections: 9
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landmark_connections: 8
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landmark_connections: 14
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landmark_color { r: 255 g: 0 b: 0 }
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connection_color { r: 255 g: 0 b: 0 }
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visualize_landmark_depth: false
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thickness: 1.0
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}
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}
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}
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# Converts landmarks to drawing primitives for annotation overlay.
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node {
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calculator: "LandmarksToRenderDataCalculator"
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input_stream: "NORM_LANDMARKS:right_eye_contour_landmarks"
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output_stream: "RENDER_DATA:right_eye_contour_landmarks_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] {
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landmark_connections: 0
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landmark_connections: 1
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landmark_connections: 1
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landmark_connections: 2
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landmark_connections: 2
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landmark_connections: 3
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landmark_connections: 3
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landmark_connections: 4
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landmark_connections: 4
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landmark_connections: 5
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landmark_connections: 5
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landmark_connections: 6
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landmark_connections: 6
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landmark_connections: 7
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landmark_connections: 7
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landmark_connections: 8
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landmark_connections: 9
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landmark_connections: 10
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landmark_connections: 10
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landmark_connections: 11
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landmark_connections: 11
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landmark_connections: 12
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landmark_connections: 12
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landmark_connections: 13
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landmark_connections: 13
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landmark_connections: 14
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landmark_connections: 0
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landmark_connections: 9
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landmark_connections: 8
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landmark_connections: 14
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landmark_color { r: 255 g: 0 b: 0 }
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connection_color { r: 255 g: 0 b: 0 }
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visualize_landmark_depth: false
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thickness: 1.0
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}
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}
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}
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# Converts normalized rects to drawing primitives for annotation overlay.
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node {
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calculator: "RectToRenderDataCalculator"
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input_stream: "NORM_RECT:rect"
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output_stream: "RENDER_DATA:rect_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] {
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filled: false
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color { r: 255 g: 0 b: 0 }
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thickness: 4.0
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}
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}
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}
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node {
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calculator: "RectToRenderDataCalculator"
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input_stream: "NORM_RECT:right_eye_rect_from_landmarks"
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output_stream: "RENDER_DATA:right_eye_rect_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] {
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filled: false
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color { r: 255 g: 0 b: 0 }
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thickness: 4.0
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}
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}
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}
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node {
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calculator: "RectToRenderDataCalculator"
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input_stream: "NORM_RECT:left_eye_rect_from_landmarks"
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output_stream: "RENDER_DATA:left_eye_rect_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] {
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filled: false
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color { r: 255 g: 0 b: 0 }
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thickness: 4.0
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}
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}
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}
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node {
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calculator: "IrisToRenderDataCalculator"
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input_stream: "IRIS:iris_landmarks"
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input_stream: "IMAGE_SIZE:image_size"
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output_stream: "RENDER_DATA:iris_render_data"
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node_options: {
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[type.googleapis.com/mediapipe.IrisToRenderDataCalculatorOptions] {
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oval_color { r: 0 g: 0 b: 255 }
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landmark_color { r: 0 g: 255 b: 0 }
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oval_thickness: 4.0
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landmark_thickness: 2.0
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font_height_px: 50
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horizontal_offset_px: 200
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vertical_offset_px: 200
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location: TOP_LEFT
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}
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}
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}
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# Draws annotations and overlays them on top of the input images.
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node {
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calculator: "AnnotationOverlayCalculator"
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input_stream: "IMAGE:input_image"
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input_stream: "detection_render_data"
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input_stream: "face_landmarks_render_data"
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input_stream: "right_eye_contour_landmarks_render_data"
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input_stream: "left_eye_contour_landmarks_render_data"
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input_stream: "iris_render_data"
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output_stream: "IMAGE:output_image"
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}
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