69 lines
2.2 KiB
Plaintext
69 lines
2.2 KiB
Plaintext
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# MediaPipe graph that performs hands tracking on desktop with TensorFlow Lite
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# on CPU.
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# Used in the example in
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# mediapipe/examples/desktop/hand_tracking:hand_tracking_tflite.
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# max_queue_size limits the number of packets enqueued on any input stream
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# by throttling inputs to the graph. This makes the graph only process one
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# frame per time.
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max_queue_size: 1
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# Decodes an input video file into images and a video header.
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node {
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calculator: "OpenCvVideoDecoderCalculator"
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input_side_packet: "INPUT_FILE_PATH:input_video_path"
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output_stream: "VIDEO:input_video"
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output_stream: "VIDEO_PRESTREAM:input_video_header"
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}
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# Generates side packet cotaining max number of hands to detect/track.
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node {
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calculator: "ConstantSidePacketCalculator"
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output_side_packet: "PACKET:num_hands"
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node_options: {
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[type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
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packet { int_value: 2 }
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}
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}
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}
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# Detects/tracks hand landmarks.
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node {
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calculator: "HandLandmarkTrackingCpu"
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input_stream: "IMAGE:input_video"
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input_side_packet: "NUM_HANDS:num_hands"
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output_stream: "LANDMARKS:landmarks"
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output_stream: "HANDEDNESS:handedness"
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output_stream: "PALM_DETECTIONS:multi_palm_detections"
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output_stream: "HAND_ROIS_FROM_LANDMARKS:multi_hand_rects"
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output_stream: "HAND_ROIS_FROM_PALM_DETECTIONS:multi_palm_rects"
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}
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# Subgraph that renders annotations and overlays them on top of the input
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# images (see hand_renderer_cpu.pbtxt).
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node {
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calculator: "HandRendererSubgraph"
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input_stream: "IMAGE:input_video"
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input_stream: "DETECTIONS:multi_palm_detections"
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input_stream: "LANDMARKS:landmarks"
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input_stream: "HANDEDNESS:handedness"
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input_stream: "NORM_RECTS:0:multi_palm_rects"
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input_stream: "NORM_RECTS:1:multi_hand_rects"
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output_stream: "IMAGE:output_video"
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}
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# Encodes the annotated images into a video file, adopting properties specified
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# in the input video header, e.g., video framerate.
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node {
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calculator: "OpenCvVideoEncoderCalculator"
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input_stream: "VIDEO:output_video"
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input_stream: "VIDEO_PRESTREAM:input_video_header"
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input_side_packet: "OUTPUT_FILE_PATH:output_video_path"
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node_options: {
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[type.googleapis.com/mediapipe.OpenCvVideoEncoderCalculatorOptions]: {
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codec: "avc1"
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video_format: "mp4"
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}
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}
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}
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