mediapipe-rs/mediapipe/modules/face_landmark/face_landmark_landmarks_to_roi.pbtxt

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2022-03-01 13:04:01 +01:00
# MediaPipe graph to calculate face region of interest (ROI) from landmarks
# detected by "FaceLandmarkCpu" or "FaceLandmarkGpu".
#
# NOTE: this graph is subject to change and should not be used directly.
type: "FaceLandmarkLandmarksToRoi"
# Normalized landmarks. (NormalizedLandmarkList)
input_stream: "LANDMARKS:landmarks"
# Frame size (width & height). (std::pair<int, int>)
input_stream: "IMAGE_SIZE:image_size"
# ROI according to landmarks. (NormalizedRect)
output_stream: "ROI:roi"
# Converts face landmarks to a detection that tightly encloses all landmarks.
node {
calculator: "LandmarksToDetectionCalculator"
input_stream: "NORM_LANDMARKS:landmarks"
output_stream: "DETECTION:face_detection"
}
# Converts the face detection into a rectangle (normalized by image size)
# that encloses the face and is rotated such that the line connecting left side
# of the left eye and right side of the right eye is aligned with the X-axis of
# the rectangle.
node {
calculator: "DetectionsToRectsCalculator"
input_stream: "DETECTION:face_detection"
input_stream: "IMAGE_SIZE:image_size"
output_stream: "NORM_RECT:face_rect_from_landmarks"
options: {
[mediapipe.DetectionsToRectsCalculatorOptions.ext] {
rotation_vector_start_keypoint_index: 33 # Left side of left eye.
rotation_vector_end_keypoint_index: 263 # Right side of right eye.
rotation_vector_target_angle_degrees: 0
}
}
}
# Expands the face rectangle so that in the next video image it's likely to
# still contain the face even with some motion.
node {
calculator: "RectTransformationCalculator"
input_stream: "NORM_RECT:face_rect_from_landmarks"
input_stream: "IMAGE_SIZE:image_size"
output_stream: "roi"
options: {
[mediapipe.RectTransformationCalculatorOptions.ext] {
scale_x: 1.5
scale_y: 1.5
square_long: true
}
}
}