55 lines
1.8 KiB
Plaintext
55 lines
1.8 KiB
Plaintext
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# MediaPipe graph to calculate face region of interest (ROI) from landmarks
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# detected by "FaceLandmarkCpu" or "FaceLandmarkGpu".
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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: "FaceLandmarkLandmarksToRoi"
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# Normalized landmarks. (NormalizedLandmarkList)
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input_stream: "LANDMARKS:landmarks"
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# Frame size (width & height). (std::pair<int, int>)
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input_stream: "IMAGE_SIZE:image_size"
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# ROI according to landmarks. (NormalizedRect)
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output_stream: "ROI:roi"
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# Converts face landmarks to a detection that tightly encloses all landmarks.
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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:face_detection"
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}
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# Converts the face detection into a rectangle (normalized by image size)
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# that encloses the face and is rotated such that the line connecting left side
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# of the left eye and right side of the right eye is aligned with the X-axis of
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# the rectangle.
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node {
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calculator: "DetectionsToRectsCalculator"
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input_stream: "DETECTION:face_detection"
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input_stream: "IMAGE_SIZE:image_size"
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output_stream: "NORM_RECT:face_rect_from_landmarks"
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options: {
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[mediapipe.DetectionsToRectsCalculatorOptions.ext] {
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rotation_vector_start_keypoint_index: 33 # Left side of left eye.
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rotation_vector_end_keypoint_index: 263 # Right side of right eye.
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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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# Expands the face rectangle so that in the next video image it's likely to
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# still contain the face even with some motion.
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node {
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calculator: "RectTransformationCalculator"
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input_stream: "NORM_RECT:face_rect_from_landmarks"
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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: 1.5
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scale_y: 1.5
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square_long: true
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}
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}
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}
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