71 lines
2.3 KiB
Plaintext
71 lines
2.3 KiB
Plaintext
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# MediaPipe graph that performs face mesh on desktop with TensorFlow Lite
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# on CPU.
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# Path to the input video file. (string)
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input_side_packet: "input_video_path"
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# Path to the output video file. (string)
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input_side_packet: "output_video_path"
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# max_queue_size limits the number of packets enqueued on any input stream
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# by throttling inputs to the graph. This makes the graph only process one
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# frame per time.
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max_queue_size: 1
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# Decodes an input video file into images and a video header.
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node {
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calculator: "OpenCvVideoDecoderCalculator"
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input_side_packet: "INPUT_FILE_PATH:input_video_path"
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output_stream: "VIDEO:input_video"
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output_stream: "VIDEO_PRESTREAM:input_video_header"
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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: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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output_stream: "ROIS_FROM_LANDMARKS:face_rects_from_landmarks"
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output_stream: "DETECTIONS:face_detections"
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output_stream: "ROIS_FROM_DETECTIONS:face_rects_from_detections"
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}
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# Subgraph that renders face-landmark annotation onto the input video.
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node {
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calculator: "FaceRendererCpu"
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input_stream: "IMAGE:input_video"
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input_stream: "LANDMARKS:multi_face_landmarks"
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input_stream: "NORM_RECTS:face_rects_from_landmarks"
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input_stream: "DETECTIONS:face_detections"
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output_stream: "IMAGE:output_video"
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}
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# Encodes the annotated images into a video file, adopting properties specified
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# in the input video header, e.g., video framerate.
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node {
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calculator: "OpenCvVideoEncoderCalculator"
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input_stream: "VIDEO:output_video"
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input_stream: "VIDEO_PRESTREAM:input_video_header"
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input_side_packet: "OUTPUT_FILE_PATH:output_video_path"
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node_options: {
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[type.googleapis.com/mediapipe.OpenCvVideoEncoderCalculatorOptions]: {
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codec: "avc1"
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video_format: "mp4"
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}
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}
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}
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