64 lines
1.9 KiB
Plaintext
64 lines
1.9 KiB
Plaintext
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# MediaPipe graph to load a selected selfie segmentation TF Lite model.
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type: "SelfieSegmentationModelLoader"
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# An integer 0 or 1. Use 0 to select a general-purpose model (operating on a
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# 256x256 tensor), and 1 to select a model (operating on a 256x144 tensor) more
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# optimized for landscape images. If unspecified, functions as set to 0. (int)
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input_side_packet: "MODEL_SELECTION:model_selection"
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# TF Lite model represented as a FlatBuffer.
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# (std::unique_ptr<tflite::FlatBufferModel, std::function<void(tflite::FlatBufferModel*)>>)
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output_side_packet: "MODEL:model"
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# Determines path to the desired pose landmark model file.
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node {
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calculator: "SwitchContainer"
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input_side_packet: "SELECT:model_selection"
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output_side_packet: "PACKET:model_path"
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options: {
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[mediapipe.SwitchContainerOptions.ext] {
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select: 0
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contained_node: {
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calculator: "ConstantSidePacketCalculator"
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options: {
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[mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
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packet {
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string_value: "mediapipe/modules/selfie_segmentation/selfie_segmentation.tflite"
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}
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}
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}
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}
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contained_node: {
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calculator: "ConstantSidePacketCalculator"
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options: {
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[mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
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packet {
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string_value: "mediapipe/modules/selfie_segmentation/selfie_segmentation_landscape.tflite"
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}
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}
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}
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}
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}
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}
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}
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# Loads the file in the specified path into a blob.
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node {
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calculator: "LocalFileContentsCalculator"
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input_side_packet: "FILE_PATH:model_path"
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output_side_packet: "CONTENTS:model_blob"
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options: {
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[mediapipe.LocalFileContentsCalculatorOptions.ext]: {
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text_mode: false
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}
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}
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}
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# Converts the input blob into a TF Lite model.
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node {
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calculator: "TfLiteModelCalculator"
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input_side_packet: "MODEL_BLOB:model_blob"
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output_side_packet: "MODEL:model"
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}
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