From fa3e558618a7c3eae0771294ce9a243c8819d1a0 Mon Sep 17 00:00:00 2001
From: Josh Klontz <josh@rankone.io>
Date: Tue, 31 Aug 2021 13:33:05 -0600
Subject: [PATCH] removed ebif

---
 openbr/plugins/classification/ebif.cpp | 148 ----------------------------------------------------------------------------------------------------------------------------------------------------
 1 file changed, 0 insertions(+), 148 deletions(-)
 delete mode 100644 openbr/plugins/classification/ebif.cpp

diff --git a/openbr/plugins/classification/ebif.cpp b/openbr/plugins/classification/ebif.cpp
deleted file mode 100644
index 0f5c9c5..0000000
--- a/openbr/plugins/classification/ebif.cpp
+++ /dev/null
@@ -1,148 +0,0 @@
-/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
- * Copyright 2012 The MITRE Corporation                                      *
- *                                                                           *
- * 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 <opencv2/imgproc/imgproc.hpp>
-
-#include <openbr/plugins/openbr_internal.h>
-#include <openbr/core/common.h>
-#include <openbr/core/opencvutils.h>
-
-using namespace cv;
-
-namespace br
-{
-
-/*!
- * \ingroup transforms
- * \brief Face Recognition Using Early Biologically Inspired Features
- * \br_paper Li, Min, et al.
- *           "Face recognition using early biologically inspired features."
- *           Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on. IEEE, 2013.
- * \author Josh Klontz \cite jklontz
- * \br_property int N The number of scales. Default is 6.
- * \br_property int M The number of orientations between 0 and pi. Default is 9.
- */
-class EBIFTransform : public UntrainableTransform
-{
-    Q_OBJECT
-    Q_PROPERTY(int N READ get_N WRITE set_N RESET reset_N STORED false) // scales
-    Q_PROPERTY(int M READ get_M WRITE set_M RESET reset_M STORED false) // orientations
-    BR_PROPERTY(int, N, 6)
-    BR_PROPERTY(int, M, 9)
-
-    QList<Transform*> orientations;
-
-    void init()
-    {
-        for (int m=0; m<M; m++)
-            orientations.append(make(QString("Gabor(%1,%2,%3,%4,%5,Phase)+Abs").arg(
-                                     QString::number(5), // lambda = 5 (just one wavelength)
-                                     QString::number(CV_PI*m/M), // M orientations between 0 and pi
-                                     QString::number(0), // psi = 0 (no offset)
-                                     QString::number(3), // sigma = 3 (just one width)
-                                     QString::number(1) // gamma = 1 (no skew)
-                                     )));
-    }
-
-    void project(const Template &src, Template &dst) const
-    {
-        // Compute the image pyramid
-        Template scales;
-        float scaleFactor = 1;
-        for (int n=0; n<N; n++) {
-            Mat scale;
-            const int width = src.m().cols * scaleFactor;
-            const int height = src.m().rows * scaleFactor;
-            resize(src, scale, Size(width, height));
-            scale.convertTo(scale, CV_32F);
-            scales.append(scale);
-            scaleFactor /= sqrt(2.f);
-        }
-
-        // Mean and standard deviation pooling
-        QList< QList<float> > features;
-        foreach (Transform *orientation, orientations) {
-            // Compute the reponse wavelet response
-            Template response;
-            orientation->project(scales, response);
-
-            // Pool for each two adjacent features
-            QList<float> orientedFeatures;
-            for (int i=0; i<N-1; i++)
-                orientedFeatures.append(pool(response[i], response[i+1]));
-            features.append(orientedFeatures);
-        }
-
-        // L2 normalization across orientations
-        for (int i=0; i<features.first().size(); i++) {
-            float squaredSum = 0;
-            for (int m=0; m<M; m++) {
-                const float val = features[m][i];
-                squaredSum += val * val;
-            }
-            const float norm = 1/sqrt(squaredSum + 0.001 /* Avoid division by zero */);
-            for (int m=0; m<M; m++)
-                features[m][i] *= norm;
-        }
-
-        // Group features by location (not done in paper)
-        for (int i=0; i<features.first().size(); i+=2) {
-            QList<float> localFeatures; localFeatures.reserve(2*M);
-            for (int m=0; m<M; m++) {
-                localFeatures.append(features[m][i]); // mean
-                localFeatures.append(features[m][i+1]); // standard deviation
-            }
-            dst += OpenCVUtils::toMat(localFeatures);
-        }
-    }
-
-    QList<float> pool(const Mat &bottom, const Mat &top) const
-    {
-        QList<float> features;
-        for (int i=0; i<=top.rows-3; i+=3) {
-            for (int j=0; j<=top.cols-3; j+=3) {
-                QList<float> vals; vals.reserve(3*3 + 4*4);
-
-                // Top values
-                for (int k=0; k<3; k++) {
-                    const float *data = top.ptr<float>(i+k, j);
-                    for (int l=0; l<3; l++)
-                        vals.append(data[l]);
-                }
-
-                // Bottom values
-                for (int k=0; k<4; k++) {
-                    const float *data = bottom.ptr<float>(4*i/3+k, 4*j/3);
-                    for (int l=0; l<4; l++)
-                        vals.append(data[l]);
-                }
-
-                double mean, stddev;
-                Common::MeanStdDev(vals, &mean, &stddev);
-                features.append(mean);
-                features.append(stddev);
-            }
-        }
-
-        return features;
-    }
-};
-
-BR_REGISTER(Transform, EBIFTransform)
-
-} // namespace br
-
-#include "classification/ebif.moc"
--
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