slackbuilds_ponce/libraries/libkface/opencv3.1.patch

diff --git a/src/recognition-opencv-lbph/facerec_borrowed.h b/src/recognition-opencv-lbph/facerec_borrowed.h
index 27ad77a..f197d22 100644
--- a/libkface/recognition-opencv-lbph/facerec_borrowed.h
+++ b/libkface/recognition-opencv-lbph/facerec_borrowed.h
@@ -125,6 +125,8 @@ public:
      */
     void update(cv::InputArrayOfArrays src, cv::InputArray labels);
 
+
+#if OPENCV_TEST_VERSION(3,1,0)
     /**
      * Predicts the label of a query image in src.
      */
@@ -134,6 +136,13 @@ public:
      * Predicts the label and confidence for a given sample.
      */
     void predict(cv::InputArray _src, int &label, double &dist) const;
+#else
+    using cv::face::FaceRecognizer::predict;
+    /*
+     * Predict
+     */
+    void predict(cv::InputArray src, cv::Ptr<cv::face::PredictCollector> collector, const int state = 0) const override;
+#endif
 
     /**
      * See FaceRecognizer::load().
diff --git a/src/recognition-opencv-lbph/facerec_borrowed.cpp b/src/recognition-opencv-lbph/facerec_borrowed.cpp
index 748691e..3c37ce2 100644
--- a/libkface/recognition-opencv-lbph/facerec_borrowed.cpp
+++ b/libkface/recognition-opencv-lbph/facerec_borrowed.cpp
@@ -36,6 +36,8 @@
  *
  * ============================================================ */
 
+#define QT_NO_EMIT
+
 #include "facerec_borrowed.h"
 
 // C++ includes
@@ -375,7 +377,11 @@ void LBPHFaceRecognizer::train(InputArrayOfArrays _in_src, InputArray _inm_label
     }
 }
 
+#if OPENCV_TEST_VERSION(3,1,0)
 void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist) const
+#else
+void LBPHFaceRecognizer::predict(cv::InputArray _src, cv::Ptr<cv::face::PredictCollector> collector, const int state) const
+#endif
 {
     if(m_histograms.empty())
     {
@@ -394,8 +400,12 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
                                       m_grid_y,                                                          /* grid size y                 */
                                       true                                                               /* normed histograms           */
                                      );
+#if OPENCV_TEST_VERSION(3,1,0)
     minDist      = DBL_MAX;
     minClass     = -1;
+#else
+    collector->init((int)m_histograms.size(), state);
+#endif
 
     // This is the standard method
 
@@ -406,11 +416,19 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
         {
             double dist = compareHist(m_histograms[sampleIdx], query, CV_COMP_CHISQR);
 
+#if OPENCV_TEST_VERSION(3,1,0)
             if((dist < minDist) && (dist < m_threshold))
             {
                 minDist  = dist;
                 minClass = m_labels.at<int>((int) sampleIdx);
             }
+#else
+            int label = m_labels.at<int>((int) sampleIdx);
+            if (!collector->emit(label, dist, state))
+            {
+                return;
+            }
+#endif
         }
     }
 
@@ -422,7 +440,7 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
         // Create map "label -> vector of distances to all histograms for this label"
         std::map<int, std::vector<int> > distancesMap;
 
-        for(size_t sampleIdx = 0; sampleIdx < m_histograms.size(); sampleIdx++) 
+        for(size_t sampleIdx = 0; sampleIdx < m_histograms.size(); sampleIdx++)
         {
             double dist                 = compareHist(m_histograms[sampleIdx], query, CV_COMP_CHISQR);
             std::vector<int>& distances = distancesMap[m_labels.at<int>((int) sampleIdx)];
@@ -445,11 +463,18 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
             double mean = sum / it->second.size();
             s          += QString::fromLatin1("%1: %2 - ").arg(it->first).arg(mean);
 
+#if OPENCV_TEST_VERSION(3,1,0)
             if((mean < minDist) && (mean < m_threshold))
             {
                 minDist = mean;
                 minClass = it->first;
             }
+#else
+            if (!collector->emit(it->first, mean, state))
+            {
+                return;
+            }
+#endif
         }
 
         qCDebug(LIBKFACE_LOG) << s;
@@ -462,7 +487,7 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
         // map "label -> number of histograms"
         std::map<int, int> countMap;
 
-        for(size_t sampleIdx = 0; sampleIdx < m_histograms.size(); sampleIdx++) 
+        for(size_t sampleIdx = 0; sampleIdx < m_histograms.size(); sampleIdx++)
         {
             int label   = m_labels.at<int>((int) sampleIdx);
             double dist = compareHist(m_histograms[sampleIdx], query, CV_COMP_CHISQR);
@@ -480,7 +505,9 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
             scoreMap[it->second]++;
         }
 
+#if OPENCV_TEST_VERSION(3,1,0)
         minDist = 0;
+#endif
         QString s("Nearest Neighbor score: ");
 
         for (std::map<int,int>::iterator it = scoreMap.begin(); it != scoreMap.end(); ++it)
@@ -488,17 +515,26 @@ void LBPHFaceRecognizer::predict(InputArray _src, int &minClass, double &minDist
             double score = double(it->second) / countMap.at(it->first);
             s           += QString::fromLatin1("%1/%2 %3  ").arg(it->second).arg(countMap.at(it->first)).arg(score);
 
+#if OPENCV_TEST_VERSION(3,1,0)
             if (score > minDist)
             {
                 minDist  = score;
                 minClass = it->first;
             }
+#else
+            // large is better thus it is -score.
+            if (!collector->emit(it->first, -score, state))
+            {
+                return;
+            }
+#endif
         }
 
         kDebug() << s;
     }
 }
 
+#if OPENCV_TEST_VERSION(3,1,0)
 int LBPHFaceRecognizer::predict(InputArray _src) const
 {
     int    label;
@@ -506,6 +542,7 @@ int LBPHFaceRecognizer::predict(InputArray _src) const
     predict(_src, label, dummy);
     return label;
 }
+#endif
 
 // Static method ----------------------------------------------------