64 lines
2.3 KiB
Plaintext
64 lines
2.3 KiB
Plaintext
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# MediaPipe graph that performs pose tracking with TensorFlow Lite on CPU.
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# CPU buffer. (ImageFrame)
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input_stream: "input_video"
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# Output image with rendered results. (ImageFrame)
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output_stream: "output_video"
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# Pose landmarks. (NormalizedLandmarkList)
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output_stream: "pose_landmarks"
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# Generates side packet to enable segmentation.
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node {
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calculator: "ConstantSidePacketCalculator"
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output_side_packet: "PACKET:enable_segmentation"
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node_options: {
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[type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
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packet { bool_value: true }
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}
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}
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}
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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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}
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# Subgraph that detects poses and corresponding landmarks.
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node {
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calculator: "PoseLandmarkCpu"
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input_side_packet: "ENABLE_SEGMENTATION:enable_segmentation"
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input_stream: "IMAGE:throttled_input_video"
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output_stream: "LANDMARKS:pose_landmarks"
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output_stream: "SEGMENTATION_MASK:segmentation_mask"
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output_stream: "DETECTION:pose_detection"
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output_stream: "ROI_FROM_LANDMARKS:roi_from_landmarks"
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}
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# Subgraph that renders pose-landmark annotation onto the input image.
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node {
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calculator: "PoseRendererCpu"
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input_stream: "IMAGE:throttled_input_video"
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input_stream: "LANDMARKS:pose_landmarks"
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input_stream: "SEGMENTATION_MASK:segmentation_mask"
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input_stream: "DETECTION:pose_detection"
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input_stream: "ROI:roi_from_landmarks"
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output_stream: "IMAGE:output_video"
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}
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