25 lines
753 B
Plaintext
25 lines
753 B
Plaintext
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# MediaPipe graph to transform single tensor into 468 facial landmarks.
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type: "TensorsToFaceLandmarks"
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# Vector with a single tensor that contains 468 landmarks. (std::vector<Tensor>)
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input_stream: "TENSORS:tensors"
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# 468 facial landmarks (NormalizedLandmarkList)
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output_stream: "LANDMARKS:landmarks"
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# Decodes the landmark tensors into a vector of lanmarks, where the landmark
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# coordinates are normalized by the size of the input image to the model.
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node {
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calculator: "TensorsToLandmarksCalculator"
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input_stream: "TENSORS:tensors"
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output_stream: "NORM_LANDMARKS:landmarks"
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options: {
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[mediapipe.TensorsToLandmarksCalculatorOptions.ext] {
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num_landmarks: 468
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input_image_width: 192
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input_image_height: 192
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}
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}
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}
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