40 lines
1.0 KiB
Plaintext
40 lines
1.0 KiB
Plaintext
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# MediaPipe graph that performs hand detection 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_detection_cpu.
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# CPU image. (ImageFrame)
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input_stream: "input_video"
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# CPU image. (ImageFrame)
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output_stream: "output_video"
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# Detects palms.
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node {
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calculator: "PalmDetectionCpu"
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input_stream: "IMAGE:input_video"
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output_stream: "DETECTIONS:output_detections"
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}
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# Converts the 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:output_detections"
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output_stream: "RENDER_DATA: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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# Draws annotations and overlays them on top of the original image coming into
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# the graph.
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node {
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calculator: "AnnotationOverlayCalculator"
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input_stream: "IMAGE:input_video"
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input_stream: "render_data"
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output_stream: "IMAGE:output_video"
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}
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