mediapipe-rs/mediapipe/modules/pose_landmark/pose_landmarks_to_roi.pbtxt
2022-06-11 12:25:48 -07:00

52 lines
1.5 KiB
Plaintext

# MediaPipe graph to calculate pose region of interest (ROI) from landmarks
# detected by "PoseLandmarkByRoiCpu" or "PoseLandmarkByRoiGpu".
#
# NOTE: this graph is subject to change and should not be used directly.
type: "PoseLandmarksToRoi"
# Normalized landmarks. (NormalizedLandmarkList)
input_stream: "LANDMARKS: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 landmarks to a detection that tightly encloses all landmarks.
node {
calculator: "LandmarksToDetectionCalculator"
input_stream: "NORM_LANDMARKS:landmarks"
output_stream: "DETECTION:detection"
}
# Converts detection into a rectangle based on center and scale alignment
# points.
node {
calculator: "AlignmentPointsRectsCalculator"
input_stream: "DETECTION:detection"
input_stream: "IMAGE_SIZE:image_size"
output_stream: "NORM_RECT:raw_roi"
options: {
[mediapipe.DetectionsToRectsCalculatorOptions.ext] {
rotation_vector_start_keypoint_index: 0
rotation_vector_end_keypoint_index: 1
rotation_vector_target_angle_degrees: 90
}
}
}
# Expands pose rect with marging used during training.
node {
calculator: "RectTransformationCalculator"
input_stream: "NORM_RECT:raw_roi"
input_stream: "IMAGE_SIZE:image_size"
output_stream: "roi"
options: {
[mediapipe.RectTransformationCalculatorOptions.ext] {
scale_x: 1.25
scale_y: 1.25
square_long: true
}
}
}