49 lines
1.3 KiB
Plaintext
49 lines
1.3 KiB
Plaintext
# MediaPipe graph that performs face mesh with TensorFlow Lite on CPU.
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# Input image. (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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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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# Defines side packets for further use in the graph.
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node {
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calculator: "ConstantSidePacketCalculator"
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output_side_packet: "PACKET:0:num_faces"
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output_side_packet: "PACKET:1:with_attention"
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node_options: {
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[type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
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packet { int_value: 1 }
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packet { bool_value: true }
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}
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}
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}
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# Subgraph that detects faces and corresponding landmarks.
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node {
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calculator: "FaceLandmarkFrontCpu"
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input_stream: "IMAGE:throttled_input_video"
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input_side_packet: "NUM_FACES:num_faces"
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input_side_packet: "WITH_ATTENTION:with_attention"
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output_stream: "LANDMARKS:multi_face_landmarks"
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}
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node {
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calculator: "FaceProcessorCalculator"
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input_stream: "NORM_LANDMARKS:multi_face_landmarks"
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input_stream: "IMAGE:throttled_input_video"
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output_stream: "IMAGE:output_video"
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}
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