// Copyright 2023 The MediaPipe Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "mediapipe/calculators/util/landmarks_smoothing_calculator.h"
#include <memory>
#include "mediapipe/calculators/util/landmarks_smoothing_calculator.pb.h"
#include "mediapipe/calculators/util/landmarks_smoothing_calculator_utils.h"
#include "mediapipe/framework/api2/node.h"
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/formats/landmark.pb.h"
#include "mediapipe/framework/formats/rect.pb.h"
#include "mediapipe/framework/timestamp.h"
namespace mediapipe {
namespace api2 {
namespace {
using ::mediapipe::NormalizedRect;
using ::mediapipe::Rect;
using ::mediapipe::landmarks_smoothing::GetObjectScale;
using ::mediapipe::landmarks_smoothing::InitializeLandmarksFilter;
using ::mediapipe::landmarks_smoothing::LandmarksFilter;
using ::mediapipe::landmarks_smoothing::LandmarksToNormalizedLandmarks;
using ::mediapipe::landmarks_smoothing::NormalizedLandmarksToLandmarks;
} // namespace
class LandmarksSmoothingCalculatorImpl
: public NodeImpl<LandmarksSmoothingCalculator> {
public:
absl::Status Open(CalculatorContext* cc) override {
MP_ASSIGN_OR_RETURN(
landmarks_filter_,
InitializeLandmarksFilter(
cc->Options<LandmarksSmoothingCalculatorOptions>()));
return absl::OkStatus();
}
absl::Status Process(CalculatorContext* cc) override {
// Check that landmarks are not empty and reset the filter if so.
// Don't emit an empty packet for this timestamp.
if ((kInNormLandmarks(cc).IsConnected() &&
kInNormLandmarks(cc).IsEmpty()) ||
(kInLandmarks(cc).IsConnected() && kInLandmarks(cc).IsEmpty())) {
MP_RETURN_IF_ERROR(landmarks_filter_->Reset());
return absl::OkStatus();
}
const auto& timestamp =
absl::Microseconds(cc->InputTimestamp().Microseconds());
if (kInNormLandmarks(cc).IsConnected()) {
const auto& in_norm_landmarks = kInNormLandmarks(cc).Get();
int image_width;
int image_height;
std::tie(image_width, image_height) = kImageSize(cc).Get();
absl::optional<float> object_scale;
if (kObjectScaleRoi(cc).IsConnected() && !kObjectScaleRoi(cc).IsEmpty()) {
auto& roi = kObjectScaleRoi(cc).Get<NormalizedRect>();
object_scale = GetObjectScale(roi, image_width, image_height);
}
auto in_landmarks = absl::make_unique<LandmarkList>();
NormalizedLandmarksToLandmarks(in_norm_landmarks, image_width,
image_height, *in_landmarks.get());
auto out_landmarks = absl::make_unique<LandmarkList>();
MP_RETURN_IF_ERROR(landmarks_filter_->Apply(
*in_landmarks, timestamp, object_scale, *out_landmarks));
auto out_norm_landmarks = absl::make_unique<NormalizedLandmarkList>();
LandmarksToNormalizedLandmarks(*out_landmarks, image_width, image_height,
*out_norm_landmarks.get());
kOutNormLandmarks(cc).Send(std::move(out_norm_landmarks));
} else {
const auto& in_landmarks = kInLandmarks(cc).Get();
absl::optional<float> object_scale;
if (kObjectScaleRoi(cc).IsConnected() && !kObjectScaleRoi(cc).IsEmpty()) {
auto& roi = kObjectScaleRoi(cc).Get<Rect>();
object_scale = GetObjectScale(roi);
}
auto out_landmarks = absl::make_unique<LandmarkList>();
MP_RETURN_IF_ERROR(landmarks_filter_->Apply(
in_landmarks, timestamp, object_scale, *out_landmarks));
kOutLandmarks(cc).Send(std::move(out_landmarks));
}
return absl::OkStatus();
}
private:
std::unique_ptr<LandmarksFilter> landmarks_filter_;
};
MEDIAPIPE_NODE_IMPLEMENTATION(LandmarksSmoothingCalculatorImpl);
} // namespace api2
} // namespace mediapipe