# MediaPipe pose landmarks rendering subgraph. type: "PoseRendererCpu" # CPU image. (ImageFrame) input_stream: "IMAGE:input_image" # Pose landmarks. (NormalizedLandmarkList) input_stream: "LANDMARKS:pose_landmarks" # Segmentation mask. (ImageFrame in ImageFormat::VEC32F1) input_stream: "SEGMENTATION_MASK:segmentation_mask" # Region of interest calculated based on landmarks. (NormalizedRect) input_stream: "ROI:roi" # Detected pose. (Detection) input_stream: "DETECTION:detection" # CPU image with rendered data. (ImageFrame) output_stream: "IMAGE:output_image" node { calculator: "ImagePropertiesCalculator" input_stream: "IMAGE:input_image" output_stream: "SIZE:image_size" } # Calculates rendering scale based on the pose roi. node { calculator: "RectToRenderScaleCalculator" input_stream: "NORM_RECT:roi" input_stream: "IMAGE_SIZE:image_size" output_stream: "RENDER_SCALE:render_scale" node_options: { [type.googleapis.com/mediapipe.RectToRenderScaleCalculatorOptions] { multiplier: 0.0012 } } } # Converts detections to drawing primitives for annotation overlay. node { calculator: "DetectionsToRenderDataCalculator" input_stream: "DETECTION:detection" output_stream: "RENDER_DATA:detection_render_data" node_options: { [type.googleapis.com/mediapipe.DetectionsToRenderDataCalculatorOptions] { thickness: 4.0 color { r: 0 g: 255 b: 0 } } } } node { calculator: "SplitNormalizedLandmarkListCalculator" input_stream: "pose_landmarks" output_stream: "visible_pose_landmarks" node_options: { [type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] { ranges: { begin: 0 end: 25 } } } } # Converts landmarks to drawing primitives for annotation overlay. node { calculator: "LandmarksToRenderDataCalculator" input_stream: "NORM_LANDMARKS:pose_landmarks" input_stream: "RENDER_SCALE:render_scale" output_stream: "RENDER_DATA: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: 7 landmark_connections: 0 landmark_connections: 4 landmark_connections: 4 landmark_connections: 5 landmark_connections: 5 landmark_connections: 6 landmark_connections: 6 landmark_connections: 8 landmark_connections: 9 landmark_connections: 10 landmark_connections: 11 landmark_connections: 12 landmark_connections: 11 landmark_connections: 13 landmark_connections: 13 landmark_connections: 15 landmark_connections: 15 landmark_connections: 17 landmark_connections: 15 landmark_connections: 19 landmark_connections: 15 landmark_connections: 21 landmark_connections: 17 landmark_connections: 19 landmark_connections: 12 landmark_connections: 14 landmark_connections: 14 landmark_connections: 16 landmark_connections: 16 landmark_connections: 18 landmark_connections: 16 landmark_connections: 20 landmark_connections: 16 landmark_connections: 22 landmark_connections: 18 landmark_connections: 20 landmark_connections: 11 landmark_connections: 23 landmark_connections: 12 landmark_connections: 24 landmark_connections: 23 landmark_connections: 24 landmark_connections: 23 landmark_connections: 25 landmark_connections: 24 landmark_connections: 26 landmark_connections: 25 landmark_connections: 27 landmark_connections: 26 landmark_connections: 28 landmark_connections: 27 landmark_connections: 29 landmark_connections: 28 landmark_connections: 30 landmark_connections: 29 landmark_connections: 31 landmark_connections: 30 landmark_connections: 32 landmark_connections: 27 landmark_connections: 31 landmark_connections: 28 landmark_connections: 32 landmark_color { r: 255 g: 255 b: 255 } connection_color { r: 255 g: 255 b: 255 } thickness: 3.0 visualize_landmark_depth: false utilize_visibility: true visibility_threshold: 0.5 } } } # Take left pose landmarks. node { calculator: "SplitNormalizedLandmarkListCalculator" input_stream: "pose_landmarks" output_stream: "landmarks_left_side" node_options: { [type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] { ranges: { begin: 1 end: 4 } ranges: { begin: 7 end: 8 } ranges: { begin: 9 end: 10 } ranges: { begin: 11 end: 12 } ranges: { begin: 13 end: 14 } ranges: { begin: 15 end: 16 } ranges: { begin: 17 end: 18 } ranges: { begin: 19 end: 20 } ranges: { begin: 21 end: 22 } ranges: { begin: 23 end: 24 } combine_outputs: true } } } # Take right pose landmarks. node { calculator: "SplitNormalizedLandmarkListCalculator" input_stream: "pose_landmarks" output_stream: "landmarks_right_side" node_options: { [type.googleapis.com/mediapipe.SplitVectorCalculatorOptions] { ranges: { begin: 4 end: 7 } ranges: { begin: 8 end: 9 } ranges: { begin: 10 end: 11 } ranges: { begin: 12 end: 13 } ranges: { begin: 14 end: 15 } ranges: { begin: 16 end: 17 } ranges: { begin: 18 end: 19 } ranges: { begin: 20 end: 21 } ranges: { begin: 22 end: 23 } ranges: { begin: 24 end: 25 } combine_outputs: true } } } # Render pose joints as big white circles. node { calculator: "LandmarksToRenderDataCalculator" input_stream: "NORM_LANDMARKS:visible_pose_landmarks" input_stream: "RENDER_SCALE:render_scale" output_stream: "RENDER_DATA:landmarks_background_joints_render_data" node_options: { [type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] { landmark_color { r: 255 g: 255 b: 255 } connection_color { r: 255 g: 255 b: 255 } thickness: 5.0 visualize_landmark_depth: false utilize_visibility: true visibility_threshold: 0.5 } } } # Render pose left side joints as orange circles (inside white ones). node { calculator: "LandmarksToRenderDataCalculator" input_stream: "NORM_LANDMARKS:landmarks_left_side" input_stream: "RENDER_SCALE:render_scale" output_stream: "RENDER_DATA:landmarks_left_joints_render_data" node_options: { [type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] { landmark_color { r: 255 g: 138 b: 0 } connection_color { r: 255 g: 138 b: 0 } thickness: 3.0 visualize_landmark_depth: false utilize_visibility: true visibility_threshold: 0.5 } } } # Render pose right side joints as cyan circles (inside white ones). node { calculator: "LandmarksToRenderDataCalculator" input_stream: "NORM_LANDMARKS:landmarks_right_side" input_stream: "RENDER_SCALE:render_scale" output_stream: "RENDER_DATA:landmarks_right_joints_render_data" node_options: { [type.googleapis.com/mediapipe.LandmarksToRenderDataCalculatorOptions] { landmark_color { r: 0 g: 217 b: 231 } connection_color { r: 0 g: 217 b: 231 } thickness: 3.0 visualize_landmark_depth: false utilize_visibility: true visibility_threshold: 0.5 } } } # Converts normalized rects to drawing primitives for annotation overlay. node { calculator: "RectToRenderDataCalculator" input_stream: "NORM_RECT:roi" output_stream: "RENDER_DATA:roi_render_data" node_options: { [type.googleapis.com/mediapipe.RectToRenderDataCalculatorOptions] { filled: false color { r: 255 g: 0 b: 0 } thickness: 4.0 } } } # Colors the segmentation mask with the color specified in the option. node { calculator: "RecolorCalculator" input_stream: "IMAGE:input_image" input_stream: "MASK:segmentation_mask" output_stream: "IMAGE:segmented_image" node_options: { [type.googleapis.com/mediapipe.RecolorCalculatorOptions] { color { r: 0 g: 0 b: 255 } mask_channel: RED invert_mask: true adjust_with_luminance: false } } } # Draws annotations and overlays them on top of the input images. node { calculator: "AnnotationOverlayCalculator" input_stream: "IMAGE:segmented_image" input_stream: "detection_render_data" input_stream: "landmarks_render_data" input_stream: "landmarks_background_joints_render_data" input_stream: "landmarks_left_joints_render_data" input_stream: "landmarks_right_joints_render_data" input_stream: "roi_render_data" output_stream: "IMAGE:output_image" }