# MediaPipe graph to detect faces. (GPU/CPU input, and inference is executed on
# GPU.)
#
# It is required that "face_detection_full_range_sparse.tflite" is available at
# "mediapipe/modules/face_detection/face_detection_full_range_sparse.tflite"
# path during execution.
type: "FaceDetectionFullRangeImage"
# Image. (Image)
input_stream: "IMAGE:image"
# The throttled input image. (Image)
output_stream: "IMAGE:throttled_image"
# Detected faces. (std::vector<Detection>)
# NOTE: there will not be an output packet in the DETECTIONS stream for this
# particular timestamp if none of faces detected. However, the MediaPipe
# framework will internally inform the downstream calculators of the absence of
# this packet so that they don't wait for it unnecessarily.
output_stream: "DETECTIONS:detections"
node {
calculator: "FlowLimiterCalculator"
input_stream: "image"
input_stream: "FINISHED:detections"
input_stream_info: {
tag_index: "FINISHED"
back_edge: true
}
output_stream: "throttled_image"
options: {
[mediapipe.FlowLimiterCalculatorOptions.ext] {
max_in_flight: 1
max_in_queue: 1
}
}
}
node {
calculator: "FaceDetectionFullRange"
input_stream: "IMAGE:throttled_image"
output_stream: "DETECTIONS:detections"
node_options: {
[type.googleapis.com/mediapipe.FaceDetectionOptions] {}
}
option_value: "OPTIONS:options"
}