From 3a57fbd5e966a216165e1a1708e11871de3eca62 Mon Sep 17 00:00:00 2001
From: JRauer <johannes.rauer@hotmail.com>
Date: Fri, 26 Jan 2018 20:30:17 +0100
Subject: [PATCH] Implemented Evaluate Quality

should work now... trying to test and debug
---
 .../AbstractionLayer_SURFFeatures.cpp                | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/Source/functions/AbstractionLayers/Layer_SURFFeatures/AbstractionLayer_SURFFeatures.cpp b/Source/functions/AbstractionLayers/Layer_SURFFeatures/AbstractionLayer_SURFFeatures.cpp
index 6c9df44..ecac2eb 100644
--- a/Source/functions/AbstractionLayers/Layer_SURFFeatures/AbstractionLayer_SURFFeatures.cpp
+++ b/Source/functions/AbstractionLayers/Layer_SURFFeatures/AbstractionLayer_SURFFeatures.cpp
@@ -27,10 +27,18 @@ bool AbstractionLayer_SURFFeatures::PreProcessing(coor mySize, const vector<Part
 
 bool AbstractionLayer_SURFFeatures::EvaluateQuality (coor constraintCoordinate, qualityVector& qVector)
 {
-    //TODO: Vergleichen, welche der in qualityVector erhaltenen ähnlich viele Features besitzen, wie an der jeweiligen constraintCoordinate in der m_constraintMatrix gespeichert sind
+    // Calculate absolute difference between constraints and each piece and safe it
+    for( int i = 0; i < qVector.size(); i++ )
+    {
+        float diff = abs(m_constraintMatrix[constraintCoordinate.row][constraintCoordinate.col].m_numberOfFeaturesDetected - qVector[i].second->m_a4.m_numberOfFeaturesDetected);
+        qVector[i].first = 1 - diff;
+        //cout << fixed << qVector[i].first << " ";
+    }
+
+    return true;
 }
 
-bool AbstractionLayer_SURFFeatures::SetConstraintOnPosition(const coor constraintCoordinate,const AbstractionLayer_SURFFeatures_Properties constraint)
+bool AbstractionLayer_SURFFeatures::SetConstraintOnPosition(const coor constraintCoordinate, const AbstractionLayer_SURFFeatures_Properties constraint)
 {
     //TODO: Benötigen wir nicht unbedint.
     //TODO: Hier erhalten wir vom Dispatcher welches Teil an welche Position gesetzt wird und wir könnten hier die Features des Bilds in die m_constraintMatrix speichern