changes + add two more benchmarks without annotations

[IRC.git] / Robust / src / Benchmarks / SSJava / EyeTrackingInfer / LEAImplementation.java

diff --git a/Robust/src/Benchmarks/SSJava/EyeTrackingInfer/LEAImplementation.java b/Robust/src/Benchmarks/SSJava/EyeTrackingInfer/LEAImplementation.java
new file mode 100644 (file)
index 0000000..998cd69
--- /dev/null
+++ b/Robust/src/Benchmarks/SSJava/EyeTrackingInfer/LEAImplementation.java
@@ -0,0 +1,125 @@
+/*
+ * Copyright 2009 (c) Florian Frankenberger (darkblue.de)
+ * 
+ * This file is part of LEA.
+ * 
+ * LEA is free software: you can redistribute it and/or modify it under the
+ * terms of the GNU Lesser General Public License as published by the Free
+ * Software Foundation, either version 3 of the License, or (at your option) any
+ * later version.
+ * 
+ * LEA is distributed in the hope that it will be useful, but WITHOUT ANY
+ * WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
+ * A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
+ * details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License
+ * along with LEA. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+/**
+ * No description given.
+ * 
+ * @author Florian Frankenberger
+ */
+
+
+public class LEAImplementation {
+
+  
+  private ClassifierTree classifierTree;
+
+  
+  private Rectangle2D lastRectangle;
+
+  public LEAImplementation() {
+    this.loadFaceData();
+  }
+
+  
+  
+  public FaceAndEyePosition getEyePosition( Image image) {
+    if (image == null)
+      return null;
+     Rectangle2D faceRect =
+        classifierTree.locateFaceRadial(image, lastRectangle);
+    if (faceRect.getWidth() > image.getWidth() || faceRect.getHeight() > image.getHeight()) {
+      return null;
+    }
+     EyePosition eyePosition = null;
+    if (faceRect != null) {
+      lastRectangle = faceRect;
+      faceRect = null;
+       Point point = readEyes(image, lastRectangle);
+      if (point != null) {
+        eyePosition = new EyePosition(point, lastRectangle);
+      }
+    } else {
+      lastRectangle = null;
+    }
+    System.out.println("eyePosition=" + eyePosition);
+
+    return new FaceAndEyePosition(lastRectangle, eyePosition);
+  }
+
+  
+  
+  private Point readEyes( Image image,  Rectangle2D rect) {
+     EyeDetector ed = new EyeDetector(image, rect);
+    return ed.detectEye();
+  }
+
+  public boolean needsCalibration() {
+    return false;
+  }
+
+  /**
+   * This method loads the faceData from a file called facedata.dat which should
+   * be within the jar-file
+   */
+  private void loadFaceData() {
+
+    FileInputStream inputFile = new FileInputStream("facedata.dat");
+
+    int numClassifier = Integer.parseInt(inputFile.readLine());
+    classifierTree = new ClassifierTree(numClassifier);
+    for (int c = 0; c < numClassifier; c++) {
+
+      int numArea = Integer.parseInt(inputFile.readLine());
+      Classifier classifier = new Classifier(numArea);
+      // parsing areas
+      for (int idx = 0; idx < numArea; idx++) {
+        // 54,54,91,62,296.0
+        Point fromPoint = new Point();
+        Point toPoint = new Point();
+        fromPoint.x = Integer.parseInt(inputFile.readLine());
+        fromPoint.y = Integer.parseInt(inputFile.readLine());
+        toPoint.x = Integer.parseInt(inputFile.readLine());
+        toPoint.y = Integer.parseInt(inputFile.readLine());
+        float size = Float.parseFloat(inputFile.readLine());
+        ScanArea area = new ScanArea(fromPoint, toPoint, size);
+        classifier.setScanArea(idx, area);
+      }
+
+      // parsing possibilities face yes
+      float array[] = new float[numArea];
+      for (int idx = 0; idx < numArea; idx++) {
+        array[idx] = Float.parseFloat(inputFile.readLine());
+      }
+      classifier.setPossibilitiesFaceYes(array);
+
+      // parsing possibilities face no
+      array = new float[numArea];
+      for (int idx = 0; idx < numArea; idx++) {
+        array[idx] = Float.parseFloat(inputFile.readLine());
+      }
+      classifier.setPossibilitiesFaceNo(array);
+
+      classifier.setPossibilityFaceYes(Integer.parseInt(inputFile.readLine()));
+      classifier.setPossibilityFaceNo(Integer.parseInt(inputFile.readLine()));
+
+      classifierTree.addClassifier(c, classifier);
+    }
+  }
+
+}