59 lines
1.8 KiB
Plaintext
59 lines
1.8 KiB
Plaintext
# MediaPipe graph to load a selected face landmarks TF Lite model.
|
|
|
|
type: "FaceLandmarksModelLoader"
|
|
|
|
# Whether to run face mesh model with attention on lips and eyes. (bool)
|
|
# Attention provides more accuracy on lips and eye regions as well as iris
|
|
# landmarks.
|
|
input_side_packet: "WITH_ATTENTION:with_attention"
|
|
|
|
# TF Lite model represented as a FlatBuffer.
|
|
# (std::unique_ptr<tflite::FlatBufferModel, std::function<void(tflite::FlatBufferModel*)>>)
|
|
output_side_packet: "MODEL:model"
|
|
|
|
# Determines path to the desired face landmark model file based on specification
|
|
# in the input side packet.
|
|
node {
|
|
calculator: "SwitchContainer"
|
|
input_side_packet: "ENABLE:with_attention"
|
|
output_side_packet: "PACKET:model_path"
|
|
options: {
|
|
[mediapipe.SwitchContainerOptions.ext] {
|
|
contained_node: {
|
|
calculator: "ConstantSidePacketCalculator"
|
|
options: {
|
|
[mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
|
|
packet {
|
|
string_value: "mediapipe/modules/face_landmark/face_landmark.tflite"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
contained_node: {
|
|
calculator: "ConstantSidePacketCalculator"
|
|
options: {
|
|
[mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
|
|
packet {
|
|
string_value: "mediapipe/modules/face_landmark/face_landmark_with_attention.tflite"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
# Loads the file in the specified path into a blob.
|
|
node {
|
|
calculator: "LocalFileContentsCalculator"
|
|
input_side_packet: "FILE_PATH:model_path"
|
|
output_side_packet: "CONTENTS:model_blob"
|
|
}
|
|
|
|
# Converts the input blob into a TF Lite model.
|
|
node {
|
|
calculator: "TfLiteModelCalculator"
|
|
input_side_packet: "MODEL_BLOB:model_blob"
|
|
output_side_packet: "MODEL:model"
|
|
}
|