51 lines
1.4 KiB
Plaintext
51 lines
1.4 KiB
Plaintext
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# MediaPipe subgraph to calculate region of interest (ROI) which is then can
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# be used to calculate iris landmarks and eye contour landmarks.
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#
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# NOTE: this graph is subject to change and should not be used directly.
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type: "IrisLandmarkLandmarksToRoi"
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# List of two normalized landmarks: left and right corners of an eye.
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# (NormalizedLandmarkList)
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input_stream: "LANDMARKS:landmarks"
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# Image size. (std::pair<int, int>)
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input_stream: "IMAGE_SIZE:image_size"
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# ROI (region of interest) within the given image where an eye is located.
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# (NormalizedRect)
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output_stream: "ROI:roi"
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node {
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calculator: "LandmarksToDetectionCalculator"
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input_stream: "NORM_LANDMARKS:landmarks"
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output_stream: "DETECTION:detection"
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}
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node {
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calculator: "DetectionsToRectsCalculator"
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input_stream: "DETECTION:detection"
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input_stream: "IMAGE_SIZE:image_size"
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output_stream: "NORM_RECT:raw_roi"
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options: {
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[mediapipe.DetectionsToRectsCalculatorOptions.ext] {
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rotation_vector_start_keypoint_index: 0
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rotation_vector_end_keypoint_index: 1
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rotation_vector_target_angle_degrees: 0
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}
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}
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}
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node {
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calculator: "RectTransformationCalculator"
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input_stream: "NORM_RECT:raw_roi"
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input_stream: "IMAGE_SIZE:image_size"
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output_stream: "roi"
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options: {
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[mediapipe.RectTransformationCalculatorOptions.ext] {
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scale_x: 2.3
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scale_y: 2.3
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square_long: true
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}
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}
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}
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