59 lines
1.8 KiB
Plaintext
59 lines
1.8 KiB
Plaintext
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# MediaPipe graph to load a selected face landmarks TF Lite model.
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type: "FaceLandmarksModelLoader"
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# Whether to run face mesh model with attention on lips and eyes. (bool)
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# Attention provides more accuracy on lips and eye regions as well as iris
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# landmarks.
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input_side_packet: "WITH_ATTENTION:with_attention"
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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 face landmark model file based on specification
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# in the input side packet.
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node {
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calculator: "SwitchContainer"
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input_side_packet: "ENABLE:with_attention"
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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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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/face_landmark/face_landmark.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/face_landmark/face_landmark_with_attention.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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}
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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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