76 lines
2.6 KiB
Plaintext
76 lines
2.6 KiB
Plaintext
# Tracks and renders pose + hands + face landmarks.
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# CPU image. (ImageFrame)
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input_stream: "input_video"
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# CPU image with rendered results. (ImageFrame)
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output_stream: "output_video"
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# Throttles the images flowing downstream for flow control. It passes through
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# the very first incoming image unaltered, and waits for downstream nodes
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# (calculators and subgraphs) in the graph to finish their tasks before it
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# passes through another image. All images that come in while waiting are
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# dropped, limiting the number of in-flight images in most part of the graph to
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# 1. This prevents the downstream nodes from queuing up incoming images and data
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# excessively, which leads to increased latency and memory usage, unwanted in
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# real-time mobile applications. It also eliminates unnecessarily computation,
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# e.g., the output produced by a node may get dropped downstream if the
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# subsequent nodes are still busy processing previous inputs.
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node {
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calculator: "FlowLimiterCalculator"
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input_stream: "input_video"
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input_stream: "FINISHED:output_video"
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input_stream_info: {
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tag_index: "FINISHED"
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back_edge: true
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}
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output_stream: "throttled_input_video"
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node_options: {
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[type.googleapis.com/mediapipe.FlowLimiterCalculatorOptions] {
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max_in_flight: 1
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max_in_queue: 1
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# Timeout is disabled (set to 0) as first frame processing can take more
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# than 1 second.
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in_flight_timeout: 0
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}
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}
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}
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node {
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calculator: "HolisticLandmarkCpu"
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input_stream: "IMAGE:throttled_input_video"
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output_stream: "POSE_LANDMARKS:pose_landmarks"
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output_stream: "POSE_ROI:pose_roi"
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output_stream: "POSE_DETECTION:pose_detection"
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output_stream: "FACE_LANDMARKS:face_landmarks"
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output_stream: "LEFT_HAND_LANDMARKS:left_hand_landmarks"
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output_stream: "RIGHT_HAND_LANDMARKS:right_hand_landmarks"
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}
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# Gets image size.
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node {
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calculator: "ImagePropertiesCalculator"
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input_stream: "IMAGE:throttled_input_video"
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output_stream: "SIZE:image_size"
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}
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# Converts pose, hands and face landmarks to a render data vector.
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node {
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calculator: "HolisticTrackingToRenderData"
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input_stream: "IMAGE_SIZE:image_size"
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input_stream: "POSE_LANDMARKS:pose_landmarks"
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input_stream: "POSE_ROI:pose_roi"
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input_stream: "LEFT_HAND_LANDMARKS:left_hand_landmarks"
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input_stream: "RIGHT_HAND_LANDMARKS:right_hand_landmarks"
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input_stream: "FACE_LANDMARKS:face_landmarks"
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output_stream: "RENDER_DATA_VECTOR:render_data_vector"
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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:throttled_input_video"
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input_stream: "VECTOR:render_data_vector"
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output_stream: "IMAGE:output_video"
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}
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