48 lines
1.4 KiB
Plaintext
48 lines
1.4 KiB
Plaintext
# MediaPipe subgraph that calculates hand ROI from palm detection.
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type: "PalmDetectionDetectionToRoi"
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# Palm detection. (Detection)
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input_stream: "DETECTION:detection"
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# Frame size. (std::pair<int, int>)
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input_stream: "IMAGE_SIZE:image_size"
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# ROI (region of interest) according to landmarks, represented as normalized
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# rect. (NormalizedRect)
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output_stream: "ROI:roi"
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# Converts results of palm detection into a rectangle (normalized by image size)
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# that encloses the palm and is rotated such that the line connecting center of
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# the wrist and MCP of the middle finger is aligned with the Y-axis of the
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# rectangle.
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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 # Center of wrist.
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rotation_vector_end_keypoint_index: 2 # MCP of middle finger.
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rotation_vector_target_angle_degrees: 90
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}
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}
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}
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# Expands and shifts the rectangle that contains the palm so that it's likely
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# to cover the entire hand.
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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: 2.6
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scale_y: 2.6
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shift_y: -0.5
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square_long: true
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}
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}
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}
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