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PiperOrigin-RevId: 523733431
This commit is contained in:
MediaPipe Team 2023-04-12 10:11:34 -07:00 committed by Copybara-Service
parent 5bcdea2952
commit efab342a52
1 changed files with 28 additions and 16 deletions
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42
mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_graph.cc
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@ -374,12 +374,15 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
.face_landmarks_detector_graph_options()
.has_face_blendshapes_graph_options()));
}
std::optional<Source<NormalizedRect>> norm_rect_in;
if (HasInput(sc->OriginalNode(), kNormRectTag)) {
norm_rect_in = graph.In(kNormRectTag).Cast<NormalizedRect>();
}
ASSIGN_OR_RETURN(
auto outs,
BuildFaceLandmarkerGraph(
*sc->MutableOptions<FaceLandmarkerGraphOptions>(),
graph[Input<Image>(kImageTag)],
graph[Input<NormalizedRect>::Optional(kNormRectTag)], environment,
graph[Input<Image>(kImageTag)], norm_rect_in, environment,
output_blendshapes, output_geometry, graph));
outs.landmark_lists >>
graph[Output<std::vector<NormalizedLandmarkList>>(kNormLandmarksTag)];
@ -422,7 +425,7 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
// graph: the mediapipe graph instance to be updated.
absl::StatusOr<FaceLandmarkerOutputs> BuildFaceLandmarkerGraph(
FaceLandmarkerGraphOptions& tasks_options, Source<Image> image_in,
Source<NormalizedRect> norm_rect_in,
std::optional<Source<NormalizedRect>> norm_rect_in,
std::optional<SidePacket<Environment>> environment,
bool output_blendshapes, bool output_geometry, Graph& graph) {
const int max_num_faces =
@ -432,6 +435,8 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
graph.AddNode("mediapipe.tasks.vision.face_detector.FaceDetectorGraph");
face_detector.GetOptions<FaceDetectorGraphOptions>().Swap(
tasks_options.mutable_face_detector_graph_options());
const auto& face_detector_options =
face_detector.GetOptions<FaceDetectorGraphOptions>();
auto& clip_face_rects =
graph.AddNode("ClipNormalizedRectVectorSizeCalculator");
clip_face_rects.GetOptions<ClipVectorSizeCalculatorOptions>()
@ -447,8 +452,8 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
image_in >> face_landmarks_detector_graph.In(kImageTag);
clipped_face_rects >> face_landmarks_detector_graph.In(kNormRectTag);
std::optional<Source<std::vector<NormalizedLandmarkList>>> face_landmarks;
face_landmarks = face_landmarks_detector_graph.Out(kNormLandmarksTag)
Source<std::vector<NormalizedLandmarkList>> face_landmarks =
face_landmarks_detector_graph.Out(kNormLandmarksTag)
.Cast<std::vector<NormalizedLandmarkList>>();
auto face_rects_for_next_frame =
face_landmarks_detector_graph.Out(kFaceRectsNextFrameTag)
@ -460,13 +465,13 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
// Apply smoothing filter only on the single face landmarks, because
// landmakrs smoothing calculator doesn't support multiple landmarks yet.
if (tasks_options.face_detector_graph_options().num_faces() == 1) {
if (face_detector_options.num_faces() == 1) {
// Get the single face landmarks
auto& get_vector_item =
graph.AddNode("GetNormalizedLandmarkListVectorItemCalculator");
get_vector_item.GetOptions<mediapipe::GetVectorItemCalculatorOptions>()
.set_item_index(0);
*face_landmarks >> get_vector_item.In(kVectorTag);
face_landmarks >> get_vector_item.In(kVectorTag);
auto single_face_landmarks = get_vector_item.Out(kItemTag);
// Apply smoothing filter on face landmarks.
@ -483,8 +488,8 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
auto& concatenate_vector =
graph.AddNode("ConcatenateNormalizedLandmarkListVectorCalculator");
smoothed_single_face_landmarks >> concatenate_vector.In("");
face_landmarks.emplace(concatenate_vector.Out("")
.Cast<std::vector<NormalizedLandmarkList>>());
face_landmarks = concatenate_vector.Out("")
.Cast<std::vector<NormalizedLandmarkList>>();
}
if (tasks_options.base_options().use_stream_mode()) {
@ -504,10 +509,15 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
// track the faces from the last frame.
auto image_for_face_detector =
DisallowIf(image_in, has_enough_faces, graph);
auto norm_rect_in_for_face_detector =
DisallowIf(norm_rect_in, has_enough_faces, graph);
image_for_face_detector >> face_detector.In(kImageTag);
norm_rect_in_for_face_detector >> face_detector.In(kNormRectTag);
std::optional<Source<NormalizedRect>> norm_rect_in_for_face_detector;
if (norm_rect_in) {
norm_rect_in_for_face_detector =
DisallowIf(norm_rect_in.value(), has_enough_faces, graph);
}
if (norm_rect_in_for_face_detector) {
*norm_rect_in_for_face_detector >> face_detector.In("NORM_RECT");
}
auto expanded_face_rects_from_face_detector =
face_detector.Out(kExpandedFaceRectsTag);
auto& face_association = graph.AddNode("AssociationNormRectCalculator");
@ -527,7 +537,9 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
// series, and we don't want to enable the tracking and rect associations
// between input images. Always use the face detector graph.
image_in >> face_detector.In(kImageTag);
norm_rect_in >> face_detector.In(kNormRectTag);
if (norm_rect_in) {
*norm_rect_in >> face_detector.In(kNormRectTag);
}
auto face_rects = face_detector.Out(kExpandedFaceRectsTag);
face_rects >> clip_face_rects.In("");
}
@ -552,7 +564,7 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
if (environment.has_value()) {
*environment >> face_geometry_from_landmarks.SideIn(kEnvironmentTag);
}
*face_landmarks >> face_geometry_from_landmarks.In(kFaceLandmarksTag);
face_landmarks >> face_geometry_from_landmarks.In(kFaceLandmarksTag);
image_size >> face_geometry_from_landmarks.In(kImageSizeTag);
face_geometry = face_geometry_from_landmarks.Out(kFaceGeometryTag)
.Cast<std::vector<FaceGeometry>>();
@ -564,7 +576,7 @@ class FaceLandmarkerGraph : public core::ModelTaskGraph {
image_in >> pass_through.In("");
return {{
/* landmark_lists= */ *face_landmarks,
/* landmark_lists= */ face_landmarks,
/* face_rects_next_frame= */
face_rects_for_next_frame,
/* face_rects= */