Display training digits in UI while training

gui/NeuroUI/netlearner.cpp

@@ -3,6 +3,7 @@
 #include "trainingdataloader.h"
 
 #include <QElapsedTimer>
+#include <QImage>
 
 void NetLearner::run()
 {
@@ -47,6 +48,17 @@ void NetLearner::run()
         {
             const TrainingDataLoader::Sample &trainingSample = dataLoader.getRandomSample();
 
+            QImage sampleImage(32, 32, QImage::Format_ARGB32);
+            for (unsigned int y = 0; y < 32; ++y)
+            {
+                for (unsigned int x = 0; x < 32; ++x)
+                {
+                    uchar grayValue = trainingSample.second[x + y * 32] * 255;
+                    sampleImage.setPixel(x, y, qRgb(grayValue, grayValue, grayValue));
+                }
+            }
+            emit sampleImageLoaded(sampleImage);
+
             std::vector<double> targetValues =
             {
                 trainingSample.first / 10.0

gui/NeuroUI/netlearner.h

@@ -14,6 +14,7 @@ signals:
     void logMessage(const QString &logMessage);
     void progress(double progress);
     void currentNetError(double error);
+    void sampleImageLoaded(const QImage &image);
 };
 
 #endif // NETLEARNER_H

gui/NeuroUI/neuroui.cpp

@@ -31,6 +31,8 @@ void NeuroUI::on_runButton_clicked()
         connect(m_netLearner.get(), &NetLearner::finished, this, &NeuroUI::netLearnerFinished);
 
         connect(m_netLearner.get(), &NetLearner::currentNetError, ui->errorPlotter, &ErrorPlotter::addErrorValue);
+
+        connect(m_netLearner.get(), &NetLearner::sampleImageLoaded, this, &NeuroUI::setImage);
     }
 
     m_netLearner->start();
@@ -61,3 +63,10 @@ void NeuroUI::progress(double progress)
 
     ui->progressBar->setValue(value);
 }
+
+void NeuroUI::setImage(const QImage &image)
+{
+    QPixmap pixmap;
+    pixmap.convertFromImage(image);
+    ui->label->setPixmap(pixmap);
+}

gui/NeuroUI/neuroui.h

@@ -28,6 +28,7 @@ private slots:
     void netLearnerStarted();
     void netLearnerFinished();
     void progress(double progress);
+    void setImage(const QImage &image);
 
 private:
     Ui::NeuroUI *ui;

gui/NeuroUI/neuroui.ui

@@ -20,11 +20,37 @@
   <widget class="QWidget" name="centralWidget">
    <layout class="QVBoxLayout" name="verticalLayout_2">
     <item>
-     <widget class="QListWidget" name="logView">
+     <layout class="QHBoxLayout" name="horizontalLayout_2">
-      <property name="uniformItemSizes">
+      <item>
-       <bool>true</bool>
+       <widget class="QListWidget" name="logView">
-      </property>
+        <property name="uniformItemSizes">
-     </widget>
+         <bool>true</bool>
+        </property>
+       </widget>
+      </item>
+      <item>
+       <widget class="QLabel" name="label">
+        <property name="sizePolicy">
+         <sizepolicy hsizetype="Fixed" vsizetype="Preferred">
+          <horstretch>0</horstretch>
+          <verstretch>0</verstretch>
+         </sizepolicy>
+        </property>
+        <property name="minimumSize">
+         <size>
+          <width>128</width>
+          <height>0</height>
+         </size>
+        </property>
+        <property name="text">
+         <string/>
+        </property>
+        <property name="alignment">
+         <set>Qt::AlignCenter</set>
+        </property>
+       </widget>
+      </item>
+     </layout>
     </item>
     <item>
      <widget class="ErrorPlotter" name="errorPlotter" native="true">

gui/NeuroUI/trainingdataloader.cpp

@@ -37,8 +37,9 @@ void TrainingDataLoader::addSamples(const QString &sourceFile, TrainingDataLoade
             {
                 for (int x = 0; x < scanWindow.width(); ++x)
                 {
-                    QRgb color = sourceImage.pixel(scanPosition.x() + x, scanPosition.y() + y);
+                    QRgb pixelColor = sourceImage.pixel(scanPosition.x() + x, scanPosition.y() + y);
-                    sample.second[x + y * scanWindow.height()] = qGray(color) / 255.0;
+                    uint grayValue = qGray(pixelColor);
+                    sample.second[x + y * scanWindow.height()] = grayValue / 255.0;
                 }
             }