MediaPipe TeamandSebastian Schmidt
c688862570
GitOrigin-RevId: 6e5aa035cd1f6a9333962df5d3ab97a05bd5744e
58 lines
1.5 KiB
Protocol Buffer Text Format
58 lines
1.5 KiB
Protocol Buffer Text Format
# MediaPipe graph to detect faces. (CPU input and inference by default.)
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#
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# It is required that "face_detection_short_range.tflite" is available at
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# "mediapipe/modules/face_detection/face_detection_short_range.tflite"
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# path during execution.
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#
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# EXAMPLE:
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# node {
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# calculator: "FaceDetectionShortRange"
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# input_stream: "IMAGE:image_frame"
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# output_stream: "DETECTIONS:face_detections"
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# }
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type: "FaceDetectionShortRange"
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# The input image, either ImageFrame, GpuBuffer, or (multi-backend) Image.
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input_stream: "IMAGE:image"
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# ROI (region of interest) within the given image where faces should be
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# detected. (NormalizedRect)
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input_stream: "ROI:roi"
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# Detected faces. (std::vector<Detection>)
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output_stream: "DETECTIONS:detections"
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graph_options: {
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[type.googleapis.com/mediapipe.FaceDetectionOptions] {}
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}
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node {
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calculator: "FaceDetection"
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input_stream: "IMAGE:image"
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input_stream: "ROI:roi"
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output_stream: "DETECTIONS:detections"
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node_options: {
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[type.googleapis.com/mediapipe.FaceDetectionOptions] {
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model_path: "mediapipe/modules/face_detection/face_detection_short_range.tflite"
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tensor_width: 128
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tensor_height: 128
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num_layers: 4
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strides: 8
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strides: 16
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strides: 16
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strides: 16
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interpolated_scale_aspect_ratio: 1.0
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num_boxes: 896
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x_scale: 128.0
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y_scale: 128.0
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h_scale: 128.0
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w_scale: 128.0
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min_score_thresh: 0.5
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}
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}
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option_value: "OPTIONS:options"
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}
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