# Converts face landmarks to ROI.
type: "FaceLandmarksToRoi"
# Face landmarks. (NormalizedLandmarkList)
input_stream: "LANDMARKS:face_landmarks"
# Image 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:face_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 center of
# the wrist and MCP of the middle finger is aligned with the Y-axis of the
# rectangle.
node {
calculator: "DetectionsToRectsCalculator"
input_stream: "DETECTION:face_detection"
input_stream: "IMAGE_SIZE:image_size"
output_stream: "NORM_RECT:face_landmarks_rect_tight"
options: {
[mediapipe.DetectionsToRectsCalculatorOptions.ext] {
rotation_vector_start_keypoint_index: 33 # Right side of left eye.
rotation_vector_end_keypoint_index: 263 # Left side of right eye.
rotation_vector_target_angle_degrees: 0
}
}
}
# Expands the face rectangle so that it's likely to contain the face even with
# some motion.
node {
calculator: "RectTransformationCalculator"
input_stream: "NORM_RECT:face_landmarks_rect_tight"
input_stream: "IMAGE_SIZE:image_size"
output_stream: "roi"
options: {
[mediapipe.RectTransformationCalculatorOptions.ext] {
scale_x: 1.5
scale_y: 1.5
# TODO: remove `square_long` where appropriat
square_long: true
}
}
}