Added AdaBoost wrapper

Scott Klum
1 parent 8f903c52
Showing 1 changed file with 123 additions and 16 deletions
openbr/plugins/tree.cpp
@@ -11,7 +11,7 @@ using namespace cv;
 namespace br
 {
-static void storeForest(const CvRTrees &forest, QDataStream &stream)
+static void storeModel(const CvStatModel &model, QDataStream &stream)
 {
     // Create local file
     QTemporaryFile tempFile;
@@ -19,7 +19,7 @@ static void storeForest(const CvRTrees &amp;forest, QDataStream &amp;stream)
     tempFile.close();
     // Save MLP to local file
-    forest.save(qPrintable(tempFile.fileName()));
+    model.save(qPrintable(tempFile.fileName()));
     // Copy local file contents to stream
     tempFile.open();
@@ -28,20 +28,20 @@ static void storeForest(const CvRTrees &amp;forest, QDataStream &amp;stream)
     stream << data;
 }
-static void loadForest(CvRTrees &forest, QDataStream &stream)
+static void loadModel(CvStatModel &model, QDataStream &stream)
 {
     // Copy local file contents from stream
     QByteArray data;
     stream >> data;
     // Create local file
-    QTemporaryFile tempFile(QDir::tempPath()+"/forest");
+    QTemporaryFile tempFile(QDir::tempPath()+"/model");
     tempFile.open();
     tempFile.write(data);
     tempFile.close();
     // Load MLP from local file
-    forest.load(qPrintable(tempFile.fileName()));
+    model.load(qPrintable(tempFile.fileName()));
 }
 /*!
@@ -50,16 +50,16 @@ static void loadForest(CvRTrees &amp;forest, QDataStream &amp;stream)
  * \author Scott Klum \cite sklum
  * \brief http://docs.opencv.org/modules/ml/doc/random_trees.html
  */
-class ForestTransform : public MetaTransform
+class ForestTransform : public Transform
 {
     Q_OBJECT
-    Q_PROPERTY(bool classification READ get_classification WRITE set_classification RESET reset_classification STORED true)
-    Q_PROPERTY(float splitPercentage READ get_splitPercentage WRITE set_splitPercentage RESET reset_splitPercentage STORED true)
-    Q_PROPERTY(int maxDepth READ get_maxDepth WRITE set_maxDepth RESET reset_maxDepth STORED true)
-    Q_PROPERTY(int maxTrees READ get_maxTrees WRITE set_maxTrees RESET reset_maxTrees STORED true)
-    Q_PROPERTY(float forestAccuracy READ get_forestAccuracy WRITE set_forestAccuracy RESET reset_forestAccuracy STORED true)
-    Q_PROPERTY(bool returnConfidence READ get_returnConfidence WRITE set_returnConfidence RESET reset_returnConfidence STORED true)
-    Q_PROPERTY(bool overwriteMat READ get_overwriteMat WRITE set_overwriteMat RESET reset_overwriteMat STORED true)
+    Q_PROPERTY(bool classification READ get_classification WRITE set_classification RESET reset_classification STORED false)
+    Q_PROPERTY(float splitPercentage READ get_splitPercentage WRITE set_splitPercentage RESET reset_splitPercentage STORED false)
+    Q_PROPERTY(int maxDepth READ get_maxDepth WRITE set_maxDepth RESET reset_maxDepth STORED false)
+    Q_PROPERTY(int maxTrees READ get_maxTrees WRITE set_maxTrees RESET reset_maxTrees STORED false)
+    Q_PROPERTY(float forestAccuracy READ get_forestAccuracy WRITE set_forestAccuracy RESET reset_forestAccuracy STORED false)
+    Q_PROPERTY(bool returnConfidence READ get_returnConfidence WRITE set_returnConfidence RESET reset_returnConfidence STORED false)
+    Q_PROPERTY(bool overwriteMat READ get_overwriteMat WRITE set_overwriteMat RESET reset_overwriteMat STORED false)
     Q_PROPERTY(QString inputVariable READ get_inputVariable WRITE set_inputVariable RESET reset_inputVariable STORED false)
     Q_PROPERTY(QString outputVariable READ get_outputVariable WRITE set_outputVariable RESET reset_outputVariable STORED false)
     BR_PROPERTY(bool, classification, true)
@@ -100,7 +100,7 @@ class ForestTransform : public MetaTransform
                                0,
                                maxTrees,
                                forestAccuracy,
-                               CV_TERMCRIT_EPS));
+                               CV_TERMCRIT_ITER | CV_TERMCRIT_EPS));
         qDebug() << "Number of trees:" << forest.get_tree_count();
     }
@@ -127,12 +127,12 @@ class ForestTransform : public MetaTransform
     void load(QDataStream &stream)
     {
-        loadForest(forest,stream);
+        loadModel(forest,stream);
     }
     void store(QDataStream &stream) const
     {
-        storeForest(forest,stream);
+        storeModel(forest,stream);
     }
     void init()
@@ -144,6 +144,113 @@ class ForestTransform : public MetaTransform
 BR_REGISTER(Transform, ForestTransform)
+/*!
+ * \ingroup transforms
+ * \brief Wraps OpenCV's Ada Boost framework
+ * \author Scott Klum \cite sklum
+ * \brief http://docs.opencv.org/modules/ml/doc/boosting.html
+ */
+class AdaBoostTransform : public Transform
+{
+    Q_OBJECT
+    Q_ENUMS(Type)
+    Q_ENUMS(SplitCriteria)
+
+    Q_PROPERTY(Type type READ get_type WRITE set_type RESET reset_type STORED false)
+    Q_PROPERTY(SplitCriteria splitCriteria READ get_splitCriteria WRITE set_splitCriteria RESET reset_splitCriteria STORED false)
+    Q_PROPERTY(int weakCount READ get_weakCount WRITE set_weakCount RESET reset_weakCount STORED false)
+    Q_PROPERTY(float trimRate READ get_trimRate WRITE set_trimRate RESET reset_trimRate STORED false)
+    Q_PROPERTY(int folds READ get_folds WRITE set_folds RESET reset_folds STORED false)
+    Q_PROPERTY(int maxDepth READ get_maxDepth WRITE set_maxDepth RESET reset_maxDepth STORED false)
+    Q_PROPERTY(bool returnConfidence READ get_returnConfidence WRITE set_returnConfidence RESET reset_returnConfidence STORED false)
+    Q_PROPERTY(bool overwriteMat READ get_overwriteMat WRITE set_overwriteMat RESET reset_overwriteMat STORED false)
+    Q_PROPERTY(QString inputVariable READ get_inputVariable WRITE set_inputVariable RESET reset_inputVariable STORED false)
+    Q_PROPERTY(QString outputVariable READ get_outputVariable WRITE set_outputVariable RESET reset_outputVariable STORED false)
+
+public:
+    enum Type { Discrete = CvBoost::DISCRETE,
+                Real = CvBoost::REAL,
+                Logit = CvBoost::LOGIT,
+                Gentle = CvBoost::GENTLE};
+
+    enum SplitCriteria { Default = CvBoost::DEFAULT,
+                         Gini = CvBoost::GINI,
+                         Misclass = CvBoost::MISCLASS,
+                         Sqerr = CvBoost::SQERR};
+
+private:
+    BR_PROPERTY(Type, type, Real)
+    BR_PROPERTY(SplitCriteria, splitCriteria, Default)
+    BR_PROPERTY(int, weakCount, 100)
+    BR_PROPERTY(float, trimRate, .95)
+    BR_PROPERTY(int, folds, 0)
+    BR_PROPERTY(int, maxDepth, 1)
+    BR_PROPERTY(bool, returnConfidence, true)
+    BR_PROPERTY(bool, overwriteMat, true)
+    BR_PROPERTY(QString, inputVariable, "Label")
+    BR_PROPERTY(QString, outputVariable, "")
+
+    CvBoost boost;
+
+    void train(const TemplateList &data)
+    {
+        Mat samples = OpenCVUtils::toMat(data.data());
+        Mat labels = OpenCVUtils::toMat(File::get<float>(data, inputVariable));
+
+        Mat types = Mat(samples.cols + 1, 1, CV_8U);
+        types.setTo(Scalar(CV_VAR_NUMERICAL));
+        types.at<char>(samples.cols, 0) = CV_VAR_CATEGORICAL;
+
+        CvBoostParams params;
+        params.boost_type = type;
+        params.split_criteria = splitCriteria;
+        params.weak_count = weakCount;
+        params.weight_trim_rate = trimRate;
+        params.cv_folds = folds;
+        params.max_depth = maxDepth;
+
+        boost.train( samples, CV_ROW_SAMPLE, labels, Mat(), Mat(), types, Mat(),
+                    params);
+    }
+
+    void project(const Template &src, Template &dst) const
+    {
+        dst = src;
+        float response;
+        if (returnConfidence) {
+            response = boost.predict(src.m().reshape(1,1),Mat(),Range::all(),false,true)/weakCount;
+        } else {
+            response = boost.predict(src.m().reshape(1,1));
+        }
+
+        if (overwriteMat) {
+            dst.m() = Mat(1, 1, CV_32F);
+            dst.m().at<float>(0, 0) = response;
+        } else {
+            dst.file.set(outputVariable, response);
+        }
+    }
+
+    void load(QDataStream &stream)
+    {
+        loadModel(boost,stream);
+    }
+
+    void store(QDataStream &stream) const
+    {
+        storeModel(boost,stream);
+    }
+
+
+    void init()
+    {
+        if (outputVariable.isEmpty())
+            outputVariable = inputVariable;
+    }
+};
+
+BR_REGISTER(Transform, AdaBoostTransform)
+
 } // namespace br
 #include "tree.moc"