Landmark smoothers
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@ -11,6 +11,8 @@
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//#define USE_PREDICTION
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#define SMOOTH_LANDMARKS
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cv::Point flipVertical(cv::Point point) {
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return cv::Point(point.x, 720 - point.y);
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}
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@ -53,6 +55,20 @@ FaceStruct::FaceStruct(const std::array<cv::Point2f, LANDMARK_POINT_COUNT>& from
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void FaceStruct::CalcFromPreds(double similarity, cv::Mat& cameraMatrix, cv::Mat& distortionCoefficients)
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{
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#ifdef SMOOTH_LANDMARKS
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for(size_t i = 0; i < LANDMARK_POINT_COUNT; i++) {
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if(similarity < 0.01) {
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preds[i] = Vector2f(
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landmarkSmoothers[i * 2].responsiveAnalogReadSimple(preds[i](0)),
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landmarkSmoothers[i * 2 + 1].responsiveAnalogReadSimple(preds[i](1))
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);
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} else {
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landmarkSmoothers[i * 2].reset();
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landmarkSmoothers[i * 2 + 1].reset();
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}
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}
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#endif
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float minX = preds[0](0);
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float maxX = preds[0](0);
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float minY = preds[0](1);
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@ -107,17 +123,17 @@ void FaceStruct::CalcFromPreds(double similarity, cv::Mat& cameraMatrix, cv::Mat
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cv::solvePnP(modelPoints, imagePoints, cameraMatrix, distortionCoefficients, rotationVector, translationVector);
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if(similarity > 0.01) {
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for (size_t i = 0; i < 3; i++) {
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rotationVectorSmoothers[i].reset();
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translationVectorSmoothers[i].reset();
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}
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}
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//if(similarity > 0.01) {
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// for (size_t i = 0; i < 3; i++) {
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// rotationVectorSmoothers[i].reset();
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// translationVectorSmoothers[i].reset();
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// }
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//}
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for(size_t i = 0; i < 3; i++) {
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/*for(size_t i = 0; i < 3; i++) {
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rotationVector.at<double>(i) = rotationVectorSmoothers[i].responsiveAnalogReadSimple(rotationVector.at<double>(i));
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// translationVector.at<double>(i) = translationVectorSmoothers[i].responsiveAnalogReadSimple(translationVector.at<double>(i));
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}
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translationVector.at<double>(i) = translationVectorSmoothers[i].responsiveAnalogReadSimple(translationVector.at<double>(i));
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}*/
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cv::projectPoints(boxModelSrc, rotationVector, translationVector, cameraMatrix, distortionCoefficients, boxModelDst);
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@ -478,7 +494,7 @@ void TMyApplication::InnerUpdate(size_t dt)
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faceStruct[index].ApplyPreds(faceLandmarkArr[index].landmarkArr, faceLandmarkArr[index].similarity, cameraMatrix, distortionCoefficients);
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std::ostringstream similarityText;
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similarityText << std::setprecision(3) << faceLandmarkArr[index].similarity;
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cv::putText(renderImage, similarityText.str(), cv::Point(50, index * 60 + 60), cv::FONT_HERSHEY_SIMPLEX, 0.75, cv::Scalar(0, 0, 0));
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cv::putText(renderImage, similarityText.str(), cv::Point(50, index * 60 + 60), cv::FONT_HERSHEY_SIMPLEX, 0.75, cv::Scalar(255, 255, 255));
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for (size_t i = 0; i < LANDMARK_POINT_COUNT; i++)
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{
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@ -45,20 +45,15 @@ struct FaceStruct
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std::vector<cv::Point3d> boxModelSrc;
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std::vector<cv::Point2d> boxModelDst;
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ValueSmoother landmarkSmoothers[2 * LANDMARK_POINT_COUNT];
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ValueSmoother rotationVectorSmoothers[3];
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ValueSmoother translationVectorSmoothers[3];
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std::vector<cv::Point3f> noseEndPoint3d;
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std::vector<cv::Point2f> noseEndPoint2d;
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FaceStruct();
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FaceStruct(const std::array<cv::Point2f, LANDMARK_POINT_COUNT>& fromPreds, cv::Mat& cameraMatrix, cv::Mat& distortionCoefficients);
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void CalcFromPreds(double similarity, cv::Mat& cameraMatrix, cv::Mat& distortionCoefficients);
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void ApplyPreds(const std::array<cv::Point2f, LANDMARK_POINT_COUNT>& fromPred, double similarity, cv::Mat& cameraMatrix, cv::Mat& distortionCoefficientss);
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void InnerApplyPreds(const std::array<cv::Point2f, LANDMARK_POINT_COUNT>& fromPreds);
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};
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@ -13,9 +13,9 @@ public:
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protected:
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bool inited = false;
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//float SNAP_MULTIPLIER_SIMPLE = 1.0 / 60;
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float SNAP_MULTIPLIER_SIMPLE = 1.0 / 60;
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float SNAP_MULTIPLIER_SIMPLE = 0.3;
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//float SNAP_MULTIPLIER_SIMPLE = 0.3;
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float smoothValue = 0;
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