src/signalProcessing/rapidPiPoTools/rapidPiPoHost.h

@@ -3,7 +3,6 @@
 
 #include "PiPo.h"
 #include "PiPoHost.h"
-#include "PiPoCollection.h"
 
 //#ifdef EXTERNAL_JSONCPP_PATH
 #define EXTERNAL_JSONCPP_PATH "json.h"
@@ -12,13 +11,12 @@
 
 #define MIN_PIPO_SAMPLERATE (1.0 / 31536000000.0) /* once a year */
 #define MAX_PIPO_SAMPLERATE (96000000000.0)
+#define DEFAULT_PIPO_SAMPLERATE 1000.0
 
-#define PIPO_OUT_RING_SIZE 2
-
-struct pipoStreamAttributes {
-  pipoStreamAttributes() : // default parameters suited for audio
+struct RapidPiPoStreamAttributes {
+  RapidPiPoStreamAttributes() : // default parameters suited for audio
   hasTimeTags(false),
-  rate(MIN_PIPO_SAMPLERATE),
+  rate(DEFAULT_PIPO_SAMPLERATE),
   offset(0),
   width(1),
   height(1),
@@ -38,212 +36,25 @@ struct pipoStreamAttributes {
   unsigned int maxFrames;
 };
 
-
-//class PiPoObserver;
-class PiPoOut;
-
 //================================ H O S T ===================================//
 
-class PiPoHost : public PiPo::Parent {
-    friend class PiPoOut;
-    
-private:
-    PiPo *graph;
-    std::string graphName;
-    PiPoOut *out;
-    // PiPoObserver *obs;
-    PiPoStreamAttributes inputStreamAttrs;
-    PiPoStreamAttributes outputStreamAttrs;
-    
+class RapidPiPoHost : public PiPoHost {
 public:
-    // PiPoHost(PiPoObserver *obs);
-    PiPoHost();
-    ~PiPoHost();
-    
-    // PiPoObserver *getObserver();
-
-    virtual bool setGraph(std::string name);
-    virtual void clearGraph();
-
-    // override this method when inheriting !!!
-    virtual void onNewFrameOut(double time, std::vector<PiPoValue> &frame);
-    virtual std::vector<PiPoValue> getLastFrameOut();
-    
-    virtual int setInputStreamAttributes(pipoStreamAttributes &sa, bool propagate = true);
-    virtual pipoStreamAttributes getOutputStreamAttributes();
-
-    virtual int frames(double time, double weight, PiPoValue *values, unsigned int size,
-                       unsigned int num);
-
-    // virtual bool setAttr(const std::string &attrName, bool value);
-    // virtual bool setAttr(const std::string &attrName, int value);
-    virtual bool setAttr(const std::string &attrName, double value);
-    virtual bool setAttr(const std::string &attrName, const std::vector<double> &values);
-    virtual bool setAttr(const std::string &attrName, const std::string &value); // for enums
-
-    // virtual const std::vector<std::string>& getAttrNames();
-    // virtual bool isBoolAttr(const std::string &attrName);
-    // virtual bool isEnumAttr(const std::string &attrName);
-    // virtual bool isIntAttr(const std::string &attrName);
-    // virtual bool isIntArrayAttr(const std::string &attrName);
-    // virtual bool isFloatAttr(const std::string &attrName);
-    // virtual bool isFloatArrayAttr(const std::string &attrName);
-    // virtual bool isStringAttr(const std::string &attrName);
-    
-    virtual std::vector<std::string> getAttrNames();
-
-    virtual double getDoubleAttr(const std::string &attrName);
-    virtual std::vector<double> getDoubleArrayAttr(const std::string &attrName);
-    virtual std::string getEnumAttr(const std::string &attrName);
-
-    /** Get a JSON representation of the model in the form of a styled string */
-    virtual std::string getJSON();
-    /** Write a JSON model description to specified file path */
-    virtual void writeJSON(const std::string &filepath);
-    /** configure empty model with string. See getJSON() */
-    virtual bool putJSON(const std::string &jsonMessage);
-    /** read a JSON file at file path and build a modelSet from it */
-    virtual bool readJSON(const std::string &filepath);
-
+  virtual int setInputStreamAttributes(RapidPiPoStreamAttributes &a);
+  virtual void onNewFrame(double time, double weight, PiPoValue *values, unsigned int size);
+
+  /** Get a JSON representation of the model in the form of a styled string */
+  virtual std::string getJSON();
+  /** Write a JSON model description to specified file path */
+  virtual void writeJSON(const std::string &filepath);
+  /** configure empty model with string. See getJSON() */
+  virtual bool putJSON(const std::string &jsonMessage);
+  /** read a JSON file at file path and build a modelSet from it */
+  virtual bool readJSON(const std::string &filepath);
 
-    // int streamAttributes(bool hasTimeTags, double rate, double offset,
-    //                      unsigned int width, unsigned int height,
-    //                      const std::vector<std::string> &labels,
-    //                      bool hasVarSize, double domain, unsigned int maxFrames,
-    //                      bool propagate = true);
-
-    // void propagateInputAttributes();
-    
-
-    // void streamAttributesChanged(PiPo *pipo, PiPo::Attr *attr);
-    // void signalError(PiPo *pipo, std::string errorMsg);
-    // void signalWarning(PiPo *pipo, std::string warningMsg);
-    
-    /*
-    void setInputHasTimeTags(bool hasTimeTags, bool propagate = true);
-    void setInputFrameRate(double rate, bool propagate = true);
-    void setInputFrameOffset(double offset, bool propagate = true);
-    void setInputDims(int width, int height, bool propagate = true);
-    void setInputLabels(const std::vector<std::string> &labels, bool propagate = true);
-    void setInputHasVarSize(bool hasVarSize, bool propagate = true);
-    void setInputDomain(double domain, bool propagate = true);
-    void setInputMaxFrames(int maxFrames, bool propagate = true);
-    
-    bool getInputHasTimeTags();
-    double getInputFrameRate();
-    double getInputFrameOffset();
-    void getInputDims(int &width, int &height);
-    void getInputLabels(std::vector<std::string> &labels);
-    bool getInputHasVarSize();
-    double getInputDomain();
-    int getInputMaxFrames();
-    
-    bool getOutputHasTimeTags();
-    double getOutputFrameRate();
-    double getOutputFrameOffset();
-    void getOutputDims(int &width, int &height);
-    void getOutputLabels(std::vector<std::string> &labels);
-    bool getOutputHasVarSize();
-    double getOutputDomain();
-    int getOutputMaxFrames();
-
-    // void setPiPoParam(PiPoParam *param);
-    //*/
-protected:
+private:
   Json::Value toJSON();
   bool fromJSON(Json::Value &jv);
-
-private:
-    int propagateInputStreamAttributes();
-    void setOutputAttributes(bool hasTimeTags, double rate, double offset,
-                             unsigned int width, unsigned int height,
-                             const char **labels, bool hasVarSize,
-                             double domain, unsigned int maxFrames);
-    
-};
-
-//================================= PiPoOut ==================================//
-
- class PiPoOut : public PiPo {
-private:
-    PiPoHost *host;
-    std::atomic<int> writeIndex, readIndex;
-    std::vector<std::vector<PiPoValue>> ringBuffer;
-    // std::function<void(std::vector<PiPoValue>, PiPoObserver *rpo)> frameCallback;
-    // std::function<void(std::vector<PiPoValue>)> simpleFrameCallback;
-    
-public:
-    PiPoOut(PiPoHost *host) :
-    PiPo((PiPo::Parent *)host) {
-        this->host = host;
-        writeIndex = 0;
-        readIndex = 0;
-        ringBuffer.resize(PIPO_OUT_RING_SIZE);
-    }
-    
-    ~PiPoOut() {}
-    
-    int streamAttributes(bool hasTimeTags,
-                         double rate, double offset,
-                         unsigned int width, unsigned int height,
-                         const char **labels, bool hasVarSize,
-                         double domain, unsigned int maxFrames) {
-        
-        this->host->setOutputAttributes(hasTimeTags, rate, offset, width, height,
-                                        labels, hasVarSize, domain, maxFrames);
-        
-        for (int i = 0; i < PIPO_OUT_RING_SIZE; ++i) {
-            ringBuffer[i].resize(width * height);
-        }
-        
-        return 0;
-    }
-    
-    int frames(double time, double weight, float *values,
-               unsigned int size, unsigned int num) {
-        
-        if (num > 0) {
-            for (int i = 0; i < num; ++i) {
-                
-                for (int j = 0; j < size; ++j) {
-                    ringBuffer[writeIndex][j] = values[i * size + j];
-                }
-                
-                // atomic swap ?
-                writeIndex = 1 - writeIndex;
-                readIndex = 1 - writeIndex;
-                
-                this->host->onNewFrameOut(time, ringBuffer[readIndex]);
-                
-                if (writeIndex + 1 == PIPO_OUT_RING_SIZE) {
-                    writeIndex = 0;
-                } else {
-                    writeIndex++;
-                }
-            }
-        }
-        
-        return 0;
-    }
-    
-    //void setFrameCallback(std::function<void(std::vector<PiPoValue>,
-    //                                         PiPoObserver *obs)> f) {
-    //    frameCallback = f;
-    //}
-    
-    // void setSimpleFrameCallback(std::function<void(std::vector<PiPoValue>)> f) {
-    //     simpleFrameCallback = f;
-    // }
-    
-    std::vector<PiPoValue> getLastFrame() {
-        std::vector<PiPoValue> f;
-        
-        if (readIndex > -1) {
-            f = ringBuffer[readIndex];
-        }
-        
-        return f;
-    }
 };
 
 #endif /* _RAPID_PIPO_HOST_H_ */

src/signalProcessing/rapidPiPoTools/rapidPiPoTools.h

@@ -3,7 +3,7 @@
 
 #include "rapidPiPoHost.h"
 
-typedef PiPoHost pipoHost;
-typedef pipoStreamAttributes pipoStreamAttributes;
+typedef RapidPiPoStreamAttributes signalAttributes;
+typedef RapidPiPoHost signalProcessingHost;
 
-# endif /* _RAPID_PIPO_TOOLS_H_ */
+#endif /* _RAPID_PIPO_TOOLS_H_ */

src/signalProcessing/rapidStream/rapidStream.cpp

-/*
- * rapidStream.cpp
- * Created by Michael Zbyszynski on 6 Feb 2017
- * Copyright © 2017 Goldsmiths. All rights reserved.
- */
-
-#include "rapidStream.h"
-#include <iostream>
-#include <cmath>
-
-rapidStream::rapidStream(int window_size) {
-    windowSize = window_size;
-    windowIndex = 0;
-    circularWindow = new double[window_size];
-    for (int i = 0; i < windowSize; ++i) {
-        circularWindow[i] = 0;
-    }
-}
-
-rapidStream::rapidStream() {
-    windowSize = 3;
-    windowIndex = 0;
-    circularWindow = new double[windowSize];
-    for (int i = 0; i < windowSize; ++i) {
-        circularWindow[i] = 0;
-    }
-}
-
-rapidStream::~rapidStream() {
-    delete []circularWindow;
-}
-
-void rapidStream::clear() {
-    windowIndex = 0;
-    circularWindow = new double[windowSize];
-    for (int i = 0; i < windowSize; ++i) {
-        circularWindow[i] = 0;
-    }
-}
-
-void rapidStream::pushToWindow(double input) {
-    circularWindow[windowIndex] = input;
-    windowIndex = (windowIndex + 1) % windowSize;
-}
-
-inline double rapidStream::calcCurrentVel(int i) {
-    return circularWindow[(i + windowIndex) % windowSize] - circularWindow[(i + windowIndex - 1) % windowSize];
-}
-
-double rapidStream::velocity() {
-    return calcCurrentVel(-1);
-};
-
-double rapidStream::acceleration() {
-    return calcCurrentVel(-2) - calcCurrentVel(-3);
-};
-
-double rapidStream::minimum() {
-    double minimum = std::numeric_limits<double>::infinity();
-    for (int i = 0; i < windowSize; ++i) {
-        if (circularWindow[i] < minimum) {
-            minimum = circularWindow[i];
-        }
-    }
-    return minimum;
-}
-
-double rapidStream::maximum() {
-    double maximum = std::numeric_limits<double>::min();
-    for (int i = 0; i < windowSize; ++i) {
-        if (circularWindow[i] > maximum) {
-            maximum = circularWindow[i];
-        }
-    }
-    return maximum;
-}
-
-double rapidStream::sum() {
-    double newSum = 0;
-    for(int i = 0; i < windowSize; ++i)
-    {
-        newSum += circularWindow[i];
-    }
-    return newSum;
-}
-
-double rapidStream::mean() {
-    return sum()/windowSize;
-}
-
-double rapidStream::standardDeviation() {
-    double newMean = mean();
-    double standardDeviation = 0.;
-    for(int i = 0; i < windowSize; ++i) {
-        standardDeviation += pow(circularWindow[i] - newMean, 2);
-    }
-    return sqrt(standardDeviation / windowSize);
-}
-
-double rapidStream::minVelocity() {
-    double minVel = std::numeric_limits<double>::infinity();
-    for (int i = 0; i < windowSize; ++i) {
-        double currentVel = calcCurrentVel(i);
-        if ( currentVel < minVel) {
-            minVel = currentVel;
-        }
-    }
-    return minVel;
-}
-
-double rapidStream::maxVelocity() {
-    double maxVel = std::numeric_limits<double>::lowest();
-    for (int i = 0; i < windowSize; ++i) {
-        double currentVel = calcCurrentVel(i);
-        if (currentVel > maxVel) {
-            maxVel = currentVel;
-        }
-    }
-    return maxVel;
-}
-
-double rapidStream::minAcceleration() {
-    double minAccel = std::numeric_limits<double>::infinity();
-    double lastVel = calcCurrentVel(1);
-    for (int i = 2; i < windowSize; ++i) {
-        double currentVel = calcCurrentVel(i);
-        double currentAccel =  currentVel - lastVel;
-        lastVel = currentVel;
-            if (currentAccel < minAccel) {
-            minAccel = currentAccel;
-        }
-    }
-    return minAccel;
-}
-
-double rapidStream::maxAcceleration() {
-    double maxAccel = std::numeric_limits<double>::lowest();
-    double lastVel = calcCurrentVel(1);
-    for (int i = 2; i < windowSize; ++i) {
-        double currentVel = calcCurrentVel(i);
-        double currentAccel = currentVel - lastVel;
-        lastVel = currentVel;
-        if (currentAccel > maxAccel) {
-            maxAccel = currentAccel;
-        }
-    }
-    return maxAccel;
-}
\ No newline at end of file

src/signalProcessing/rapidStream/rapidStream.h

-/*
- * rapidStream.h
- * Created by Michael Zbyszynski on 6 Feb 2017
- * Copyright © 2017 Goldsmiths. All rights reserved.
- */
-
-#ifndef rapidStream_h
-#define rapidStream_h
-
-#include <stdint.h>
-class rapidStream {
-public:
-    
-    /**
-     * Create a circular buffer with 3 elements.
-     */
-    rapidStream();
-    /**
-     * Create a circular buffer with an arbitrary number of elements.
-     * @param int: number of elements to hold in the buffer
-     */
-    rapidStream(int windowSize);
-    
-    ~rapidStream();
-    
-    /**
-     * Resets all the values in the buffer to zero.
-     */
-    void clear();
-    
-    /** Add a value to a circular buffer whose size is defined at creation.
-     * @param double: value to be pushed into circular buffer.
-     */
-    void pushToWindow(double input);
-    
-    /** Calculate the first-order difference (aka velocity) between the last two inputs.
-     * @return double: difference between last two inputs.
-     */
-    double velocity();
-    
-    /** Calculate the second-order difference (aka acceleration) over the last three inputs.
-     * @return double: acceleration over the last three inputs.
-     */
-    double acceleration();
-    
-    /** Find the minimum value in the buffer.
-     * @return double: minimum.
-     */
-    double minimum();
-    
-    /** Find the maximum value in the buffer.
-     * @return double: maximum.
-     */
-    double maximum();
-    
-    /** Calculate the sum of all values in the buffer.
-     * @return double: sum.
-     */
-    double sum();
-    
-    /** Calculate the mean of all values in the buffer.
-     * @return double: mean.
-     */
-    double mean();
-    
-    /** Calculate the standard deviation of all values in the buffer.
-     * @return double: standard deviation.
-     */
-    double standardDeviation();
-    
-    /** Calculate the minimum first-order difference over consecutive inputs in the buffer.
-     * @return double: minimum velocity.
-     */
-    double minVelocity();
-    
-    /** Calculate the maximum first-order difference over consecutive inputs in the buffer.
-     * @return double: maximum velocity.
-     */
-    double maxVelocity();
-    
-    /** Calculate the minimum second-order difference over consecutive inputs in the buffer.
-     * @return double: minimum acceleration.
-     */
-    double minAcceleration();
-    
-    /** Calculate the maximum second-order difference over consecutive inputs in the buffer.
-     * @return double: maximum acceleration.
-     */
-    double maxAcceleration();
-
-private:
-    uint32_t windowSize;
-    uint32_t windowIndex;
-    double *circularWindow;
-    
-    double calcCurrentVel(int i);
-};
-
-
-#endif
\ No newline at end of file

src/signalProcessing/signalProcessing.h

-/*
- * signalProcessing.h
- * Created by Michael Zbyszynski on 6 Feb 2017
+/**
+ * @file signalProcessing.h
+ * @author Michael Zbyszynski
+ * @date 6 Feb 2017
+ * @copyright
  * Copyright © 2017 Goldsmiths. All rights reserved.
+ *
+ * @ingroup signalprocessing
  */
 
 #ifndef signalProcessing_h
 #define signalProcessing_h
 
-#include "rapidMix.h"
+#include "rapidmix.h"
 #include "maximilian.h"
 #include "maxim.h"
 #include "rapidStream.h"
-#include "rapidPiPoTools.h"
+#include "./rapidPiPoTools/rapidPiPoTools.h"
 
-RAPIDMIX_BEGIN_NAMESPACE
+namespace rapidmix {
 
-/*
- * Wrapper for signalProcessing modules, currently a collection of typedefs
- */
-
-typedef maxiFFT FFT;
-typedef maxiMFCC MFCC;
-typedef rapidStream rapidStream; //MZ: Best... typedef... EVER!
-
-typedef pipoHost pipoHost;
-typedef pipoStreamAttributes pipoStreamAttributes;
+    /*
+     * Wrapper for signalProcessing modules, currently a collection of typedefs
+     */
 
+    typedef maxiFFT FFT;
+    typedef maxiMFCC MFCC;
+    typedef rapidStream<double> rapidStream;
 
-RAPIDMIX_END_NAMESPACE
+    typedef signalProcessingHost signalProcessingHost;
+    typedef signalAttributes signalAttributes;
+}
 
 #endif

tests/data/pipo.json

+{
+	"docType" : "rapid-mix:signal-processing",
+	"docVersion" : "1.0.0",
+	"payload" : 
+	{
+		"description" : "slice:fft:sum:scale:onseg",
+		"parameters" : 
+		[
+			{
+				"name" : "slice.size",
+				"type" : "Int",
+				"value" : [ 1024 ]
+			},
+			{
+				"name" : "slice.hop",
+				"type" : "Int",
+				"value" : [ 256 ]
+			},
+			{
+				"name" : "slice.wind",
+				"type" : "Enum",
+				"value" : "hann"
+			},
+			{
+				"name" : "slice.norm",
+				"type" : "Enum",
+				"value" : "power"
+			},
+			{
+				"name" : "fft.size",
+				"type" : "Int",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "fft.mode",
+				"type" : "Enum",
+				"value" : "power"
+			},
+			{
+				"name" : "fft.norm",
+				"type" : "Bool",
+				"value" : 1
+			},
+			{
+				"name" : "fft.weighting",
+				"type" : "Enum",
+				"value" : "itur468"
+			},
+			{
+				"name" : "sum.norm",
+				"type" : "Bool",
+				"value" : 0
+			},
+			{
+				"name" : "sum.colname",
+				"type" : "String",
+				"value" : ""
+			},
+			{
+				"name" : "scale.inmin",
+				"type" : "Double",
+				"value" : [ 1 ]
+			},
+			{
+				"name" : "scale.inmax",
+				"type" : "Double",
+				"value" : [ 10 ]
+			},
+			{
+				"name" : "scale.outmin",
+				"type" : "Double",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "scale.outmax",
+				"type" : "Double",
+				"value" : [ 10 ]
+			},
+			{
+				"name" : "scale.clip",
+				"type" : "Bool",
+				"value" : 0
+			},
+			{
+				"name" : "scale.func",
+				"type" : "Enum",
+				"value" : "log"
+			},
+			{
+				"name" : "scale.base",
+				"type" : "Double",
+				"value" : [ 10 ]
+			},
+			{
+				"name" : "scale.minlog",
+				"type" : "Double",
+				"value" : [ 1.0000000195414814e-24 ]
+			},
+			{
+				"name" : "scale.complete",
+				"type" : "Enum",
+				"value" : "repeatlast"
+			},
+			{
+				"name" : "scale.colindex",
+				"type" : "Int",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "scale.numcols",
+				"type" : "Int",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "onseg.colindex",
+				"type" : "Int",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "onseg.numcols",
+				"type" : "Int",
+				"value" : [ -1 ]
+			},
+			{
+				"name" : "onseg.filtersize",
+				"type" : "Int",
+				"value" : [ 3 ]
+			},
+			{
+				"name" : "onseg.threshold",
+				"type" : "Double",
+				"value" : [ 9 ]
+			},
+			{
+				"name" : "onseg.odfmode",
+				"type" : "Enum",
+				"value" : "mean"
+			},
+			{
+				"name" : "onseg.mininter",
+				"type" : "Double",
+				"value" : [ 50 ]
+			},
+			{
+				"name" : "onseg.startisonset",
+				"type" : "Bool",
+				"value" : 1
+			},
+			{
+				"name" : "onseg.duration",
+				"type" : "Bool",
+				"value" : 1
+			},
+			{
+				"name" : "onseg.durthresh",
+				"type" : "Double",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "onseg.offthresh",
+				"type" : "Double",
+				"value" : [ -120 ]
+			},
+			{
+				"name" : "onseg.maxsize",
+				"type" : "Double",
+				"value" : [ 0 ]
+			},
+			{
+				"name" : "onseg.min",
+				"type" : "Bool",
+				"value" : 0
+			},
+			{
+				"name" : "onseg.max",
+				"type" : "Bool",
+				"value" : 1
+			},
+			{
+				"name" : "onseg.mean",
+				"type" : "Bool",
+				"value" : 0
+			},
+			{
+				"name" : "onseg.stddev",
+				"type" : "Bool",
+				"value" : 0
+			},
+			{
+				"name" : "onseg.odfoutput",
+				"type" : "Bool",
+				"value" : 0
+			}
+		],
+		"streamAttributes" : 
+		{
+			"input" : 
+			{
+				"domain" : 0,
+				"hasTimeTags" : 0,
+				"hasVarSize" : false,
+				"height" : 1,
+				"labels" : true,
+				"maxFrames" : 1,
+				"offset" : 0,
+				"rate" : 1000,
+				"width" : 1
+			},
+			"output" : 
+			{
+				"domain" : 0,
+				"hasTimeTags" : 1,
+				"hasVarSize" : false,
+				"height" : 1,
+				"labels" : true,
+				"maxFrames" : 1,
+				"offset" : 0,
+				"rate" : 3.90625,
+				"width" : 2
+			}
+		}
+	},
+	"target" : 
+	{
+		"name" : "pipo",
+		"version" : 0.20000000000000001
+	}
+}

tests/rapidMixTest.cpp

+#include <cassert>
+#include <vector>
+#include <iostream>
+#include "rapidmix.h"
+
+int main() {
+
+    ///////////////////////////////////Test GVF
+
+    rapidmix::gvfTemporalVariation gvf;
+    rapidmix::trainingData myGVFData;
+
+    // Record first gesture
+    myGVFData.startRecording();
+    myGVFData.addElement({ 4.0, 0.7 });
+    myGVFData.addElement({ 3.0, 0.8 });
+    myGVFData.addElement({ 2.0, 0.9 });
+    myGVFData.addElement({ 1.0, 1.0 });
+    myGVFData.addElement({ 0.4, 1.2 });
+    myGVFData.addElement({ 0.2, 1.4 });
+    myGVFData.stopRecording();
+
+    // Record reverse of first gesture
+    myGVFData.startRecording();
+    myGVFData.addElement({ 0.2, 1.4 });
+    myGVFData.addElement({ 0.4, 1.2 });
+    myGVFData.addElement({ 1.0, 1.0 });
+    myGVFData.addElement({ 2.0, 0.9 });
+    myGVFData.addElement({ 3.0, 0.8 });
+    myGVFData.addElement({ 4.0, 0.7 });
+    myGVFData.stopRecording();
+
+    // Train
+    std::cout << "gvf train = " << gvf.train(myGVFData) << std::endl;
+
+    std::cout << "gvf passed." << std::endl;
+
+    //////////////////////////////////////Test RapidLib
+
+    rapidmix::staticRegression myNN;
+    rapidmix::trainingData myRLData;
+
+    std::vector<double> input = { 0.2, 0.7 };
+    std::vector<double> output = { 3.0 };
+    myRLData.recordSingleElement("label", input, output);
+
+    input = { 2.0, 44.2 };
+    output = { 20.14 };
+    myRLData.recordSingleElement("label", input, output);
+
+    std::cout << "staticRegression train = " << myNN.train(myRLData) << std::endl;
+
+    std::vector<double> inputVec = { 1.618, 18.9 };
+    assert(myNN.run(inputVec)[0] == 12.596715279688549);
+    std::cout << "staticRegression passed." << std::endl;
+
+    //////////////////////////////////////Test XMM
+
+    rapidmix::xmmConfig xcfg;
+    xcfg.relativeRegularization = 0.1;
+
+    rapidmix::trainingData myXmmData;
+    std::vector<double> myXmmInput;
+    std::vector<double> myXmmOutput;
+
+    myXmmData.startRecording("lab1");
+    myXmmInput = { 0.2, 0.7 };
+    myXmmData.addElement(myXmmInput, myXmmOutput);
+    myXmmData.stopRecording();
+
+    myXmmData.startRecording("lab2");
+    myXmmInput = { 0.8, 0.1 };
+    myXmmData.addElement(myXmmInput, myXmmOutput);
+    myXmmData.stopRecording();
+
+    myXmmData.writeJSON("/var/tmp/testTrainingData.json");
+
+    rapidmix::xmmStaticClassification myGmm(xcfg);
+
+    myGmm.train(myXmmData);
+
+    std::string filepath = "/var/tmp/modelSetDescription";
+    myGmm.writeJSON(filepath);
+
+    myXmmInput = { 0.2, 0.7 };
+
+    rapidmix::xmmStaticClassification myGmmFromFile;
+    myGmmFromFile.readJSON(filepath);
+
+    assert(myGmm.run(myXmmInput)[0] == myGmmFromFile.run(myXmmInput)[0]);
+    std::cout << "xmm passed." << std::endl;
+
+    /////////////////////////////////////Test pipo signal processing
+
+    rapidmix::signalProcessingHost spHost;
+
+    spHost.setGraph("slice<fft:moments,moments>");
+    spHost.setAttr("slice.size", 128);
+    spHost.setAttr("slice.hop", 64);
+
+    rapidmix::signalAttributes sa;
+
+    spHost.setInputStreamAttributes(sa);
+
+    for (unsigned int i = 0; i < 256; ++i)
+    {
+        std::vector<float> f({ 1, 2, 3 });
+        spHost.frames(0, 1, &f[0], 1, 1);
+    }
+    std::cout << "pipo passed." << std::endl;
+
+    /////////////////////////////////////Test rapidStream signal processing
+
+    rapidmix::rapidStream myProcessor(5); //create a processor with a window size of 5
+    myProcessor.pushToWindow(0.246);
+    myProcessor.pushToWindow(0.44);
+    myProcessor.pushToWindow(-0.228);
+    myProcessor.pushToWindow(0.402);
+    myProcessor.pushToWindow(-0.382);
+
+    assert(myProcessor.maximum() == 0.44);
+    assert(myProcessor.minimum() == -0.382);
+    assert(myProcessor.sum() == 0.478);
+    assert(myProcessor.mean() == 0.09559999999999999);
+    assert(myProcessor.standardDeviation() == 0.33702557766436664);
+    assert(myProcessor.rms() == 0.3503221374677884);
+
+    std::cout << "rapidStream passed." << std::endl;
+
+    /////////////////////////////////////Test Maxi signal processing
+
+    rapidmix::FFT myFFT;
+    myFFT.setup(1024, 512, 265);
+
+    for (int i = 0; i < 1024; ++i) {
+        float input = (i % 256/256.0);
+        myFFT.process(input);
+    }
+
+    assert(myFFT.spectralCentroid() == 3520.84277f);
+    std::cout << "maxi fft passed." << std::endl;
+
+    return 0;
+}

tests/src/test_RapidLib.cpp

@@ -8,7 +8,7 @@
 
 #define CATCH_CONFIG_MAIN
 #include "catch.hpp"
-#include "machineLearning.h"
+#include "rapidMix.h"
 #include <iostream>
 
 SCENARIO("Test NN Regression", "[machineLearning]")
@@ -20,11 +20,15 @@ SCENARIO("Test NN Regression", "[machineLearning]")
         rapidmix::trainingData myData;
         std::vector<double> input = { 0.2, 0.7 };
         std::vector<double> output = { 3.0 };
-        REQUIRE(myData.addElement(input, output) == 1);
+        REQUIRE(myData.recordSingleElement("label", input, output) == 1); //FIXME: Label is stupd here. -MZ
+        
+        //testing alternate API
+        //auto newPhrase = myData.createNewPhrase("lab1");
+        //newPhrase->addElement(input, output);
         
         input = { 2.0, 44.2 };
         output = { 20.14 };
-        REQUIRE(myData.addElement(input, output) == 2);
+        REQUIRE(myData.recordSingleElement("label", input, output) == 3);
         
         myData.writeJSON("/var/tmp/testTrainingData.json");
         
@@ -33,8 +37,8 @@ SCENARIO("Test NN Regression", "[machineLearning]")
         std::string filepath = "/var/tmp/modelSetDescription.json";
         myNN.writeJSON(filepath);
         
-        std::vector<double> inputVec = { 1.618, 18.9 }; //arbitrary input        
-        REQUIRE(myNN.run(inputVec)[0] == 12.596715279688551);
+        std::vector<double> inputVec = { 1.618, 18.9 }; //arbitrary input
+        REQUIRE(myNN.run(inputVec)[0] == 12.596715279688549);
         
         WHEN("when NN model is deserialized from file")
         {
@@ -62,19 +66,12 @@ SCENARIO("Test NN Regression", "[machineLearning]")
 
 SCENARIO("Test kNN classification", "[machineLearning]")
 {
-    GIVEN("kNN Regression object and training dataset")
+    GIVEN("kNN object and training dataset")
     {
         rapidmix::staticClassification myKnn;
-        
         rapidmix::trainingData myData;
-        std::vector<double> input = { 0.2, 0.7 };
-        std::vector<double> output = { 3.0 };
-        REQUIRE(myData.addElement(input, output) == 1);
-        
-        input = { 2.0, 44.2 };
-        output = { 20.14 };
-        REQUIRE(myData.addElement(input, output) == 2);
-        
+        REQUIRE(myData.recordSingleElement("cat", { 0.2, 0.7 }) == 1);
+        REQUIRE(myData.recordSingleElement("dog", { 2.0, 44.2 }) == 3); // This is not 2, because phrases get numbers, too.
         REQUIRE(myKnn.train(myData) == true);
         
         std::string filepath2 = "/var/tmp/modelSetDescription_knn.json";
@@ -89,7 +86,7 @@ SCENARIO("Test kNN classification", "[machineLearning]")
         
         std::vector<double> inputVec = { 2.0, 44.2 };
         
-        REQUIRE(myKnn.run(inputVec)[0] == 20.0); //FIXME: kNN truncates to ints!
+        REQUIRE(myKnn.run(inputVec, "label") == "dog");
         
         WHEN("when kNN model is read from file")
         {
@@ -99,7 +96,7 @@ SCENARIO("Test kNN classification", "[machineLearning]")
             }
         }
         
-        WHEN("when NN model is read from JSON stream")
+        WHEN("when kNN model is read from JSON stream")
         {
             THEN("run models and compare")
             {
@@ -109,6 +106,59 @@ SCENARIO("Test kNN classification", "[machineLearning]")
     }
 }
 
+SCENARIO("Test DTW classification", "[machineLearning]")
+{
+    GIVEN("DTW object and training dataset")
+    {
+        rapidmix::dtwTemporalClassification myDTW;
+        
+        rapidmix::trainingData myData;
+        myData.startRecording("setOne");
+        std::vector<double> input = { 0.1, 0.5 };
+        std::vector<double> output = {};
+        REQUIRE(myData.addElement(input, output) == 1);
+        input = { 0.2, 0.4 };
+        REQUIRE(myData.addElement(input, output) == 2);
+        input = { 0.3, 0.3 };
+        REQUIRE(myData.addElement(input, output) == 3);
+        input = { 0.4, 0.2 };
+        REQUIRE(myData.addElement(input, output) == 4);
+        input = { 0.5, 0.1 };
+        REQUIRE(myData.addElement(input, output) == 5);
+        myData.stopRecording();
+        
+        //alternate API
+        auto setTwo = myData.createNewPhrase("setTwo");
+        input = { 1., 4. };
+        setTwo->addElement(input, output);
+        input = { 2., -3. };
+        setTwo->addElement(input, output);
+        input = { 1., 5. };
+        setTwo->addElement(input, output);
+        input = { -2., 1. };
+        setTwo->addElement(input, output);
+        
+        REQUIRE(myDTW.train(myData) == true);
+        
+        std::vector<std::vector<double> > inputSet1;
+        inputSet1.push_back( {1., 4.});
+        inputSet1.push_back( {2., -3.});
+        inputSet1.push_back( {1., 5.});
+        inputSet1.push_back( {-2., 1.});
+        
+        REQUIRE(myDTW.run(inputSet1) == "setTwo");
+        
+        std::vector<std::vector<double> > inputSet0;
+        inputSet0.push_back( { 0.1, 0.5 });
+        inputSet0.push_back( { 0.2, 0.4 });
+        inputSet0.push_back( { 0.3, 0.3 });
+        inputSet0.push_back( { 0.4, 0.2 });
+        inputSet0.push_back( { 0.5, 0.1 });
+        
+        REQUIRE(myDTW.run(inputSet0) == "setOne");
+    }
+}
+
 SCENARIO("Test both classes reject bad data", "[machineLearning]") {
     rapidmix::staticRegression badNN;
     rapidmix::staticClassification badKNN;
@@ -116,7 +166,7 @@ SCENARIO("Test both classes reject bad data", "[machineLearning]") {
     
     std::vector<double> input = { 0.1, 0.2, 0.3};
     std::vector<double> output = { 1.0 };
-    myBadData.addElement(input,output);
+    myBadData.recordSingleElement("label", input,output); //FIXME: This label is uselsess? -MZ
     
     input = { 1.0, 2.0, 3.0, 4.0 };
     myBadData.addElement(input, output);
@@ -126,14 +176,3 @@ SCENARIO("Test both classes reject bad data", "[machineLearning]") {
     //TODO: These should return false with empty data set. I think it just crashes now. -mz
     
 }
-
-
-/*
- rapidmix::staticClassification labelKnn;
- labelKnn.train(myXmmData);
- std::vector<double> input = { 0.8, 0.1 };
- std::cout << "knn test: " << myXmmData.getLabel(labelKnn.run(input)[0]) << std::endl;
- 
- return 0;
- 
- */
\ No newline at end of file

tests/src/test_gvf.cpp

@@ -8,18 +8,16 @@
 
 #define CATCH_CONFIG_MAIN  // This tells Catch to provide a main() - only do this in one cpp file
 #include "catch.hpp"
-#include "machineLearning.h"
-
-
+#include "rapidMix.h"
 
 TEST_CASE( "Tests default GVF ctor.", "[GVF]" ) {
-
+    
     GVF * gvf = new GVF();
     gvf->translate(false);
     gvf->segmentation(false);
     
     REQUIRE(gvf != NULL);
-
+    
 }
 
 TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
@@ -35,11 +33,9 @@ TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
     gvf->setTolerance(0.2f);
     gvf->setScalingsVariance(0.00001f); //0.00001f);   //0.000002f);   //0.00004f);
     gvf->setDynamicsVariance(0.0001f);
-   
     
     vector<vector<float>> trainingData;
     
-    
     if(gvf->getState() == GVF::STATE_LEARNING)
     {
         gvf->startGesture();
@@ -49,7 +45,6 @@ TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
             // Fill the template
             gesture.addObservation(*frame);
         }
-
     }
     
     gvf->setState(GVF::STATE_FOLLOWING);
@@ -66,184 +61,111 @@ TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
             // Fill the template
             gesture.addObservation(*frame);
         }
-        
         gvf->update(gesture.getLastObservation());
     }
     
-        
-//    float phase = gvf->getOutcomes().estimations[0].alignment;
-//    float speed = gvf->getOutcomes().estimations[0].dynamics[0];
-//    
-//    getDynamicsVariance();
-//    getScalingsVariance();
-//    getRotationsVariance();
+    //    float phase = gvf->getOutcomes().estimations[0].alignment;
+    //    float speed = gvf->getOutcomes().estimations[0].dynamics[0];
+    //
+    //    getDynamicsVariance();
+    //    getScalingsVariance();
+    //    getRotationsVariance();
     
     REQUIRE( gvf != NULL);
     
 }
 
+
+
 SCENARIO("Test GVF Regression", "[machineLearning]")
 {
     GIVEN("gvf object and training dataset")
     {
-        rapidmix::gvf gvf;
-        
+        rapidmix::gvfTemporalVariation gvf;
         rapidmix::trainingData myData;
-        std::vector<double> input = { 0.2, 0.7 };
-        std::vector<double> output = { 3.0 };
-        myData.addElement(input, output);
         
-        input = { 2.0, 44.2 };
-        output = { 20.14 };
-        myData.addElement(input, output);
+        // Record first gesture
+        myData.startRecording();
+        std::vector<double> inputs = { 4.0, 0.7 };
+        myData.addElement(inputs);
         
-        gvf.train(myData);
+        inputs = { 3.0, 0.8 };
+        myData.addElement(inputs);
         
-//        gvf.process(input);
+        inputs = { 2.0, 0.9 };
+        myData.addElement(inputs);
         
+        inputs = { 1.0, 1.0 };
+        myData.addElement(inputs);
         
-        std::string filepath2 = "/var/tmp/modelSetDescription_gvf.json";
-//        gvf.writeJSON(filepath2);
+        inputs = { 0.4, 1.2 };
+        myData.addElement(inputs);
         
-//        rapidmix::staticClassification gvfFromString;
-//        gvfFromString.putJSON(gvf.getJSON());
+        inputs = { 0.2, 1.4 };
+        myData.addElement(inputs);
+        myData.stopRecording();
         
-//        rapidmix::staticClassification gvfFromFile;
-//        gvfFromFile.readJSON(filepath2);
+        // Record reverse of first gesture
+        myData.startRecording();
+        inputs = { 0.2, 1.4 };
+        myData.addElement(inputs);
         
+        inputs = { 0.4, 1.2 };
+        myData.addElement(inputs);
         
-        std::vector<double> inputVec = { 2.0, 44.2 };
+        inputs = { 1.0, 1.0 };
+        myData.addElement(inputs);
         
-        WHEN("when gvf model is read from file")
-        {
-            THEN("run models and compare")
-            {
-//                REQUIRE(gvf.run(inputVec)[0] == gvfFromFile.run(inputVec)[0]);
-            }
-        }
+        inputs = { 2.0, 0.9 };
+        myData.addElement(inputs);
         
-        WHEN("when gvf model is read from JSON stream")
-        {
-            THEN("run models and compare")
-            {
-//                REQUIRE(gvf.run(inputVec)[0] == gvfFromString.run(inputVec)[0]);
-            }
-        }
-    }
-}
-
+        inputs = { 3.0, 0.8 };
+        myData.addElement(inputs);
         
-/*
-unsigned int runGVF(){
-
-    
-    GVFGesture       currentGesture;
-    GVFConfig        config;
-    GVFOutcomes      outcomes;
-    
-    
-    
-    // START UNIT TEST LOOP HERE
-    
-    
-    // Init GVF
-    config.inputDimensions  = 8;
-    config.translate        = false;
-    config.segmentation     = false;
-    
-    GVF * gvf = new ofxGVF(config);
-    
-    // change set parameters (from default)
-    gvf->setScalingsVariance(0.00001f); //0.00001f);   //0.000002f);   //0.00004f);
-    gvf->setDynamicsVariance(0.0001f);
-    
-    
-    
-    std::vector<std::string> trainingFiles;
-    
-    // Data structure for training data
-    vector<vector<vector<float>>> trainingData = readData(trainPath, participantRegExp, trainingFiles);
-    
-    for (vector<vector<vector<float>>>::iterator trainingGesture = trainingData.begin(); trainingGesture != trainingData.end(); trainingGesture++)
-    {
-        currentGesture.clear();
-        for (vector<vector<float>>::iterator frame = (*trainingGesture).begin(); frame != (*trainingGesture).end(); frame++)
-        {
-            // Fill the template
-            currentGesture.addObservation(*frame);
-        }
-        // Add the template at the end of the gesture
-        gvf->addGestureTemplate(currentGesture);
-    }
-    
-    
-    // Set Following Mode (fitting here)
-    gvf->setState(ofxGVF::STATE_FOLLOWING);
-    
-    
-    std::vector<std::string> testFilesList;
-    
-    vector<GVFOutput> gvfOutputs = readTestData(testPath, participantRegExp, outputPath);
-    
-    float tempAlignmentDistance = 0.0;
-    
-    float alignmentDistance;
-    
-    for (vector<GVFOutput>::iterator gvfOutput = gvfOutputs.begin(); gvfOutput != gvfOutputs.end(); gvfOutput++)
-    {
+        inputs = { 4.0, 0.7 };
+        myData.addElement(inputs);
+        myData.stopRecording();
         
-        // here you restart before testing with an indivudal testing gesture
-        gvf->restart();
+        // Train
+        REQUIRE(gvf.train(myData) == true);
         
-//        boost::filesystem::ofstream outfile(gvfOutput->fileOut);
+        // Set first gesture (or a fragment of it)
+        std::vector<double> outcomes;
         
-        for (vector<vector<float>>::iterator frame = (gvfOutput->testData).begin(); frame != (gvfOutput->testData).end(); frame++) {
-            
-            currentGesture.addObservation(*frame);
-            
-            gvf->update(currentGesture.getLastObservation());
-            
-            ofxGVFOutcomes outcomes = gvf->getOutcomes();
-            
-            if (outcomes.most_probable >= 0){
+        WHEN("when gvf is trained with a gesture and the reverse gesture")
+        {
+            THEN("follows the the gesture (first) and confirm it is the likeliestGesture and likelihoods reasonable")
+            {
+                outcomes = gvf.run(inputs = { 3.0, 0.8 });
+                outcomes = gvf.run({ 2.0, 0.9 });
+                outcomes = gvf.run({ 1.0, 1.0 });
+                outcomes = gvf.run({ 0.4, 1.2 });
+                outcomes = gvf.run({ 0.2, 1.4 });
+                
+                // The assumtion for the test is that the outcome of the last segment of the test gesture must converge
+                REQUIRE(outcomes[0] == 0); // outcomes[0] - likeliestGesture must be equal to first gesture '0'
+                REQUIRE(gvf.getLikelihoods()[0] > 0.5); // outcomes[1] - likelihood gesture '0' must be greater than 50%
+                REQUIRE(gvf.getLikelihoods()[1] < 0.5); // outcomes[2] - likelihood gesture '1' must be lesser than 50%
+                REQUIRE(gvf.getAlignments()[0] < 0.5); // outcomes[3] - alignment gesture '0' must be lesser than 50%
+                //                REQUIRE(outcomes[4] < 0.5); // outcomes[4] - alignment gesture '1' must be lesser than 50%
                 
-                outfile << outcomes.estimations[0].scalings[0] << ' ' << outcomes.estimations[0].scalings[1] << ' ' << outcomes.estimations[0].scalings[2] << ' ' << outcomes.estimations[0].scalings[3] << ' ' << outcomes.estimations[0].scalings[4] << ' ' << outcomes.estimations[0].scalings[5] << ' ' << outcomes.estimations[0].scalings[6] << ' ' << outcomes.estimations[0].scalings[7] << ' ' << outcomes.estimations[1].scalings[0] << ' ' << outcomes.estimations[1].scalings[1] << ' ' << outcomes.estimations[1].scalings[2] << ' ' << outcomes.estimations[1].scalings[3] << ' ' << outcomes.estimations[1].scalings[4] << ' ' << outcomes.estimations[1].scalings[5] << ' ' << outcomes.estimations[1].scalings[6] << ' ' << outcomes.estimations[1].scalings[7] << ' ' << outcomes.estimations[2].scalings[0] << ' ' << outcomes.estimations[2].scalings[1] << ' ' << outcomes.estimations[2].scalings[2] << ' ' << outcomes.estimations[2].scalings[3] << ' ' << outcomes.estimations[2].scalings[4] << ' ' << outcomes.estimations[2].scalings[5] << ' ' << outcomes.estimations[2].scalings[6] << ' ' << outcomes.estimations[2].scalings[7] << ' ' << outcomes.estimations[0].dynamics[0] << ' ' << outcomes.estimations[0].dynamics[1] << ' ' << outcomes.estimations[1].dynamics[0] << ' ' << outcomes.estimations[1].dynamics[1] << ' ' << outcomes.estimations[2].dynamics[0] << ' ' << outcomes.estimations[2].dynamics[1] << ' ' << outcomes.estimations[0].alignment << ' ' << outcomes.estimations[1].alignment << ' ' << outcomes.estimations[2].alignment << ' ' << '0' << ' ' << outcomes.estimations[0].likelihood << ' ' << outcomes.estimations[1].likelihood << ' ' << outcomes.estimations[2].likelihood << ' ' << '1' << ' ' << '0' << ' ' << '0' << std::endl;
             }
-            else
+            
+            WHEN("when gvf is trained with two gestures")
             {
-                outfile << "Error" << endl;
+                THEN("gvf follows the test gesture (first gesture scaled) and confirm it is the likeliestGesture and likelihoods anc  reasonable ")
+                {
+                    
+                }
             }
             
-            // reconstruction and distance computation
-            int alignmentindex = 0;
-            
-            if (gvf->getMostProbableGestureIndex()>=0)
-                alignmentindex = trainingData[gvf->getMostProbableGestureIndex()].size() * outcomes.estimations[gvf->getMostProbableGestureIndex()].alignment;
-            
-            vector<float> alignedFrame = trainingData[gvf->getMostProbableGestureIndex()][alignmentindex];
-            float distanceRefAligned = 0.0;
-            
-            for (int i=0; i<alignedFrame.size(); i++){
-                alignedFrame[i]*=outcomes.estimations[gvf->getMostProbableGestureIndex()].scalings[i];
-                distanceRefAligned+=pow(alignedFrame[i]-(*frame)[i],2);
+            WHEN("when gvf is trained with two gestures")
+            {
+                THEN("gvf follows the test gesture (first gesture scaled) and confirm it is the likeliestGesture and likelihoods anc  reasonable ")
+                {
+                    
+                }
             }
-            
-            tempAlignmentDistance += sqrt(distanceRefAligned);
         }
-        
-        alignmentDistance = tempAlignmentDistance / (float)(gvfOutput->testData).size();
-        
-        outfile.close();
     }
-    return 0;
 }
-
-*/
-
-
-//TEST_CASE( "Factorials are computed", "[factorial]" ) {
-//    REQUIRE( Factorial(1) == 1 );
-//    REQUIRE( Factorial(2) == 2 );
-//    REQUIRE( Factorial(3) == 6 );
-//    REQUIRE( Factorial(10) == 3628800 );
-//}
\ No newline at end of file

tests/src/test_rapidPiPoTools.cpp → tests/src/test_rapidPiPo.cpp

@@ -15,7 +15,23 @@
 #include "catch.hpp"
 #include "signalProcessing.h"
 
-//#define MAX_PATH_SIZE 256
+#define MAX_PATH_SIZE 256
+
+void doSomething(double time, double weight, PiPoValue *values, unsigned int size)
+{
+    std::cout << time << std::endl;
+}
+
+class Stuff {
+public:
+    Stuff() {}
+    ~Stuff() {}
+
+    void doSomething(double time, double weight, PiPoValue *values, unsigned int size)
+    {
+        std::cout << time << std::endl;
+    }
+};
 
 //=============================== ONSEG TEST =================================//
 
@@ -24,23 +40,29 @@ SCENARIO("Test rapidPiPoHost", "[signalProcessing]")
     GIVEN("A rapidPiPoHost class with a rapidPiPo chain and an audio file")
     {
         maxiSample buffer;
+        Stuff stuff;
 
         // in XCode this gives the path to DerivedData folder
         // char pathStrBuf[MAX_PATH_SIZE];
         // char *cwd = getcwd(pathStrBuf, sizeof(pathStrBuf));
         // std::cout << std::string(cwd) << std::endl;
-        
+
         // but here we just add the file to the Copy File(s) Build Phase
-        buffer.load("./DnB-loop-175BPM.wav", 0);
+        buffer.load("./data/DnB-loop-175BPM.wav", 0);
         // ( source : http://freesound.org/people/yewbic/sounds/40107/ )
 
         buffer.reset(); // (no real need to do this here)
-        
+
         //====================================================================//
 
         // instantiate PiPo related classes here :
-        rapidmix::pipoHost host; // -> this class is located in rapidPiPoTools
-        
+        rapidmix::signalProcessingHost host;
+
+        // host.setFrameCallback(doSomething);
+        // host.setFrameCallback(stuff.doSomething);
+        // host.setFrameCallback(dynamic_cast<frameCallback>(std::bind(&Stuff::doSomething, stuff)));
+        // host.setFrameCallback(dynamic_cast<frameCallback>(Stuff::* doSomething));
+
         // if we want to add some custom PiPos to our collection :
         // #include "myCustomPiPo.h"
         // PiPoCollection::addToCollection("myCustomPiPo", new PiPoCreator<myCustomPiPo>);
@@ -50,9 +72,10 @@ SCENARIO("Test rapidPiPoHost", "[signalProcessing]")
 // #include "PiPoMaximChroma.h"
         // this one is not part of the default collection :
         // PiPoCollection::addToCollection("chroma", new PiPoCreator<PiPoMaximChroma>);
-        
+
+        //*
         host.setGraph("slice:fft:sum:scale:onseg");
-        
+
         host.setAttr("slice.size", 1024);
         host.setAttr("slice.hop", 256);
         host.setAttr("slice.norm", "power");
@@ -72,7 +95,7 @@ SCENARIO("Test rapidPiPoHost", "[signalProcessing]")
         host.setAttr("onseg.startisonset", 1.);
         host.setAttr("onseg.threshold", 9.);
         host.setAttr("onseg.offthresh", -120.);
-        
+
         std::cout << "onseg threshold : ";
         std::cout << host.getDoubleAttr("onseg.threshold") << std::endl;
         std::cout << "fft mode : ";
@@ -80,31 +103,45 @@ SCENARIO("Test rapidPiPoHost", "[signalProcessing]")
         std::cout << "param names : " << std::endl;
 
         std::vector<std::string> attrs = host.getAttrNames();
-        
+
         for (int i = 0; i < attrs.size(); ++i)
         {
             std::cout << "- " << attrs[i] << std::endl;
         }
+        //*/
+
+        //char pathStrBuf[MAX_PATH_SIZE];
+        //char *cwd = getcwd(pathStrBuf, sizeof(pathStrBuf));
+        //std::string filePath = std::string(cwd) + "/hello.json";
+        //std::string filePath = ${PROJECT_DIR};
+        std::string filePath = "./data/pipo.json";
+        std::cout << filePath << std::endl;
+
+        //host.writeJSON(filePath);
+        host.readJSON(filePath);
+        //host.putJSON(jj);
+
+        //std::string jj = host.getJSON();
+        //std::cout << jj << std::endl;
 
-        std::cout << host.getJSON() << std::endl;
         // set another chain :
         // pipoHost.setChain("chroma");
-        
+
         WHEN("file is processed")
         {
-            rapidmix::pipoStreamAttributes sa;
+            rapidmix::signalAttributes sa;
             sa.hasTimeTags = true;
             sa.rate = 44100;
             sa.offset = 0;
-            sa.width = 1,
-            sa.height = 1,
+            sa.width = 1;
+            sa.height = 1;
             sa.labels = std::vector<std::string>();
             sa.hasVarSize = false;
             sa.domain = 0;
             sa.maxFrames = 1;
-            
-            host.setInputStreamAttributes(sa);
-            
+
+            host.setInputSignalAttributes(sa);
+
             float value;
             for (unsigned int i = 0; i < buffer.length; ++i) {
                 value = buffer.play();

tests/src/test_rapidXmmTools.cpp → tests/src/test_rapidXMM.cpp

-//
-//  test_rapidXmmTools.cpp
-//  Unit tests for rapidXmmTools
-//
-
 #ifndef CATCH_CONFIG_MAIN
 #define CATCH_CONFIG_MAIN
 #endif
@@ -18,37 +13,37 @@ SCENARIO("Test GMM", "[machineLearning]")
     {
         rapidmix::xmmConfig xcfg;
         xcfg.relativeRegularization = 0.1;
-        
+
         rapidmix::trainingData myXmmData;
         std::vector<double> myXmmInput;
         std::vector<double> myXmmOutput;
-        
+
         myXmmData.startRecording("lab1");
         myXmmInput = { 0.2, 0.7 };
         myXmmData.addElement(myXmmInput, myXmmOutput);
         myXmmData.stopRecording();
-        
+
         myXmmData.startRecording("lab2");
         myXmmInput = { 0.8, 0.1 };
         myXmmData.addElement(myXmmInput, myXmmOutput);
         myXmmData.stopRecording();
-        
+
         myXmmData.writeJSON("/var/tmp/testTrainingData.json");
 
         rapidmix::xmmStaticClassification myGmm(xcfg);
-        
+
         myGmm.train(myXmmData);
-        
+
         std::string filepath = "/var/tmp/modelSetDescription";
         myGmm.writeJSON(filepath);
-        
+
         myXmmInput = { 0.2, 0.7 };
-        
+
         WHEN("GMM model is deserialized from file")
         {
             rapidmix::xmmStaticClassification myGmmFromFile;
             myGmmFromFile.readJSON(filepath);
-            
+
             THEN("compare results of original and deserialized models")
             {
                 REQUIRE(myGmm.run(myXmmInput)[0] == myGmmFromFile.run(myXmmInput)[0]);
@@ -59,7 +54,7 @@ SCENARIO("Test GMM", "[machineLearning]")
         {
             rapidmix::xmmStaticClassification myGmmFromString;
             myGmmFromString.putJSON(myGmm.getJSON());
-            
+
             THEN("compare results of original and deserialized models")
             {
                 REQUIRE(myGmm.run(myXmmInput)[0] == myGmmFromString.run(myXmmInput)[0]);
@@ -78,39 +73,39 @@ SCENARIO("Test GMR", "[machineLearning]")
     {
         rapidmix::xmmConfig xcfg;
         xcfg.relativeRegularization = 0.1;
-        
+
         rapidmix::trainingData myXmmData;
         std::vector<double> myXmmInput;
         std::vector<double> myXmmOutput;
-        
+
         myXmmData.startRecording("lab1");
         myXmmInput = { 0.2, 0.7 };
         myXmmOutput = { 1.0 };
         myXmmData.addElement(myXmmInput, myXmmOutput);
         myXmmData.stopRecording();
-        
+
         myXmmData.startRecording("lab2");
         myXmmInput = { 0.8, 0.1 };
         myXmmOutput = { 2.0 };
         myXmmData.addElement(myXmmInput, myXmmOutput);
         myXmmData.stopRecording();
-        
+
         myXmmData.writeJSON("/var/tmp/testTrainingData.json");
-        
+
         rapidmix::xmmStaticRegression myGmr(xcfg);
-        
+
         myGmr.train(myXmmData);
-        
+
         std::string filepath = "/var/tmp/modelSetDescription";
         myGmr.writeJSON(filepath);
-        
+
         myXmmInput = { 0.2, 0.7 };
-        
+
         WHEN("GMM model is deserialized from file")
         {
             rapidmix::xmmStaticClassification myGmrFromFile;
             myGmrFromFile.readJSON(filepath);
-            
+
             THEN("compare results of original and deserialized models")
             {
                 double epsilon = 0.001;
@@ -119,12 +114,12 @@ SCENARIO("Test GMR", "[machineLearning]")
                 REQUIRE(std::abs(origOut - fileOut) < epsilon);
             }
         }
-        
+
         WHEN("GMM model is deserialized from JSON stream")
         {
             rapidmix::xmmStaticClassification myGmrFromString;
             myGmrFromString.putJSON(myGmr.getJSON());
-            
+
             THEN("compare results of original and deserialized models")
             {
                 double epsilon = 0.001;
@@ -148,10 +143,10 @@ SCENARIO("Test HMM", "[machineLearning]")
         xcfg.relativeRegularization = 0.1;
         xcfg.states = 6;
         xcfg.likelihoodWindow = 10;
-        
+
         rapidmix::trainingData myXmmData;
         std::vector<double> myXmmOutput;
-        
+
         myXmmData.startRecording("lab1");
         std::vector<std::vector<double>> myXmmPhrase = {
             { 0.0, 0.0 },
@@ -179,16 +174,16 @@ SCENARIO("Test HMM", "[machineLearning]")
             myXmmData.addElement(myXmmPhrase[i], myXmmOutput);
         }
         myXmmData.stopRecording();
-        
+
         rapidmix::xmmTemporalClassification myHmm(xcfg);
 
         myHmm.train(myXmmData);
-        
+
         myXmmData.writeJSON("/var/tmp/testTrainingData.json");
-        
+
         std::string filepath = "/var/tmp/modelSetDescription";
         myHmm.writeJSON(filepath);
-        
+
         WHEN("HMM model processes the phrase it was trained with")
         {
             THEN("check its time progression output is constantly increasing")
@@ -201,16 +196,16 @@ SCENARIO("Test HMM", "[machineLearning]")
                 }
                 std::vector<double> sortedProgress = progress;
                 std::sort(sortedProgress.begin(), sortedProgress.end());
-                
+
                 REQUIRE(std::equal(progress.begin(), progress.end(), sortedProgress.begin()));
             }
         }
-        
+
         WHEN("HMM model is deserialized from file")
         {
             rapidmix::xmmTemporalClassification myHmmFromFile;
             myHmmFromFile.readJSON(filepath);
-            
+
             for (int i = 0; i < myXmmPhrase.size(); ++i) {
 
                 THEN("compare results of original and deserialized models")
@@ -219,14 +214,14 @@ SCENARIO("Test HMM", "[machineLearning]")
                 }
             }
         }
-        
+
         WHEN("HMM model is deserialized from JSON stream")
         {
             rapidmix::xmmTemporalClassification myHmmFromString;
             myHmmFromString.putJSON(myHmm.getJSON());
-            
+
             for (int i = 0; i < myXmmPhrase.size(); ++i) {
-                
+
                 THEN("compare results of original and deserialized models")
                 {
                     REQUIRE(myHmm.run(myXmmPhrase[i]) == myHmmFromString.run(myXmmPhrase[i]));
@@ -250,9 +245,9 @@ SCENARIO("Test HMR", "[machineLearning]")
         xcfg.absoluteRegularization = 0.001;
         xcfg.states = 6;
         xcfg.likelihoodWindow = 10;
-        
+
         rapidmix::trainingData myXmmData;
-        
+
         myXmmData.startRecording("lab1");
         std::vector <std::pair <std::vector<double>, std::vector<double>>> myXmmPhrase = {
             { { 0.0, 0.0 }, { 1.0 } },
@@ -276,54 +271,59 @@ SCENARIO("Test HMR", "[machineLearning]")
             { { 1.5, 2.5 }, { 19.0 } },
             { { 1.6, 2.6 }, { 20.0 } }
         };
-        
+
         for (int i = 0; i < myXmmPhrase.size(); ++i) {
             myXmmData.addElement(myXmmPhrase[i].first, myXmmPhrase[i].second);
         }
         myXmmData.stopRecording();
-        
+
         rapidmix::xmmTemporalRegression myHmr(xcfg);
-        
+
         myHmr.train(myXmmData);
-        
+
         myXmmData.writeJSON("/var/tmp/testTrainingData.json");
-        
+
         std::string filepath = "/var/tmp/modelSetDescription";
         myHmr.writeJSON(filepath);
-        
+
+        myHmr.reset();
+
         WHEN("HMR model processes the phrase it was trained with")
         {
             THEN("check its regression output is the same as the output example")
             {
                 int cnt = 0;
                 double sum = 0;
-                
+
                 for (int i = 0; i < myXmmPhrase.size(); ++i) {
                     std::vector<double> regression;
                     regression = myHmr.run(myXmmPhrase[i].first);
-                
+
                     for (int j = 0; j < regression.size(); ++j) {
                         double delta = regression[j] - myXmmPhrase[i].second[j];
                         sum += delta * delta;
                         cnt++;
                     }
                 }
-                
+
                 sum = std::sqrt(sum / cnt);
-                
+
                 // totally arbitrary epsilon value :
                 double epsilon = 1.0;
                 REQUIRE(sum <= epsilon);
             }
         }
-        
+
         WHEN("HMR model is deserialized from file")
         {
             rapidmix::xmmTemporalRegression myHmrFromFile;
             myHmrFromFile.readJSON(filepath);
-            
+
             for (int i = 0; i < myXmmPhrase.size(); ++i) {
-                
+
+                myHmr.reset();
+                myHmrFromFile.reset();
+
                 THEN("compare results of original and deserialized models")
                 {
                     int cnt = 0;
@@ -333,14 +333,14 @@ SCENARIO("Test HMR", "[machineLearning]")
                         std::vector<double> r1, r2;
                         r1 = myHmr.run(myXmmPhrase[i].first);
                         r2 = myHmrFromFile.run(myXmmPhrase[i].first);
-                    
+
                         for (int j = 0; j < r1.size(); ++j) {
                             double delta = r1[j] - r2[j];
                             sum += delta * delta;
                             cnt++;
                         }
                     }
-                    
+
                     sum = std::sqrt(sum / cnt);
 
                     // totally arbitrary epsilon value :
@@ -349,33 +349,36 @@ SCENARIO("Test HMR", "[machineLearning]")
                 }
             }
         }
-        
+
         WHEN("HMR model is deserialized from JSON stream")
         {
             rapidmix::xmmTemporalRegression myHmrFromString;
             myHmrFromString.putJSON(myHmr.getJSON());
-            
+
             for (int i = 0; i < myXmmPhrase.size(); ++i) {
-                
+
+                myHmr.reset();
+                myHmrFromString.reset();
+
                 THEN("compare results of original and deserialized models")
                 {
                     int cnt = 0;
                     double sum = 0;
-                    
+
                     for (int i = 0; i < myXmmPhrase.size(); ++i) {
                         std::vector<double> r1, r2;
                         r1 = myHmr.run(myXmmPhrase[i].first);
                         r2 = myHmrFromString.run(myXmmPhrase[i].first);
-                        
+
                         for (int j = 0; j < r1.size(); ++j) {
                             double delta = r1[j] - r2[j];
                             sum += delta * delta;
                             cnt++;
                         }
                     }
-                    
+
                     sum = std::sqrt(sum / cnt);
-                    
+
                     // totally arbitrary epsilon value :
                     double epsilon = 0.1;
                     REQUIRE(sum <= epsilon);

tests/src/test_signalProcessing.cpp

@@ -47,6 +47,7 @@ SCENARIO("Test rapidStream processing", "[signalProcessing]")
                     REQUIRE(myProcessor.sum() == 0.478);
                     REQUIRE(myProcessor.mean() == 0.09559999999999999);
                     REQUIRE(myProcessor.standardDeviation() == 0.33702557766436664);
+                    REQUIRE(myProcessor.rms() == 0.3503221374677884);
                 }
             }
             

tests/src/test_trainingData.cpp

+#ifndef CATCH_CONFIG_MAIN
+#define CATCH_CONFIG_MAIN
+#endif
+
+#include "catch.hpp"
+#include "machineLearning.h"
+
+//============================= TRAINING DATA ================================//
+
+SCENARIO("Test training sets managements", "[machineLearning]")
+{
+    GIVEN("A training set we fill in a variety of ways")
+    {
+        rapidmix::trainingData set;
+
+        set.createNewPhrase("test_label_01");
+
+        std::vector <std::pair <std::vector<double>, std::vector<double>>> phrase = {
+            { { 0.0, 0.0 }, { 9.0 } },
+            { { 1.0, 0.0 }, { 8.0 } },
+            { { 2.0, 0.0 }, { 7.0 } },
+            { { 3.0, 0.0 }, { 6.0 } },
+            { { 4.0, 0.0 }, { 5.0 } },
+            { { 5.0, 0.0 }, { 4.0 } },
+            { { 6.0, 0.0 }, { 3.0 } },
+            { { 7.0, 0.0 }, { 2.0 } },
+            { { 8.0, 0.0 }, { 1.0 } },
+            { { 9.0, 0.0 }, { 0.0 } }
+        };
+
+        for (int i = 0; i < phrase.size(); ++i) {
+            set.addElement(phrase[i].first, phrase[i].second);
+        }
+
+        WHEN("We serialize / deserialize a training set")
+        {
+            std::string js = set.getJSON();
+            std::cout << js << std::endl;
+
+            THEN("It should stay the same")
+            {
+
+            }
+        }
+    }
+}

tests/test_project.xcodeproj/project.pbxproj

@@ -7,8 +7,11 @@
 	objects = {
 
 /* Begin PBXBuildFile section */
-		311BA2A61EDC6A8900244DAC /* test_rapidXmmTools.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EE21ED8480D00E9FAFA /* test_rapidXmmTools.cpp */; };
-		311BA2FD1EDC6F9F00244DAC /* rapidXmmTools.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 311BA2A91EDC6ADB00244DAC /* rapidXmmTools.cpp */; };
+		0BA41BAD1EE6E0ED00B74667 /* trainingData.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EC01ED8459300E9FAFA /* trainingData.cpp */; };
+		0BA41BAE1EE6E10A00B74667 /* jsoncpp.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5E081ED8450E00E9FAFA /* jsoncpp.cpp */; };
+		0BE2E7371EE56F4F00722712 /* rapidGVF.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 0BE2E7351EE56F4F00722712 /* rapidGVF.cpp */; };
+		0BE2E7381EE56F5800722712 /* GVF.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 0BE2E72F1EE56E6D00722712 /* GVF.cpp */; };
+		311BA2A61EDC6A8900244DAC /* test_rapidXMM.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EE21ED8480D00E9FAFA /* test_rapidXMM.cpp */; };
 		311BA2FE1EDC6FD000244DAC /* xmmKMeans.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 311BA2C61EDC6EC100244DAC /* xmmKMeans.cpp */; };
 		311BA2FF1EDC6FD000244DAC /* xmmKMeansParameters.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 311BA2C81EDC6EC100244DAC /* xmmKMeansParameters.cpp */; };
 		311BA3001EDC6FD000244DAC /* xmmHierarchicalHmm.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 311BA2CD1EDC6ECE00244DAC /* xmmHierarchicalHmm.cpp */; };
@@ -26,20 +29,70 @@
 		311BA30C1EDC6FD000244DAC /* xmmJson.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 311BA2F71EDC6F0F00244DAC /* xmmJson.cpp */; };
 		311BA30D1EDC709900244DAC /* jsoncpp.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5E081ED8450E00E9FAFA /* jsoncpp.cpp */; };
 		311BA30F1EDC711E00244DAC /* trainingData.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EC01ED8459300E9FAFA /* trainingData.cpp */; };
-		311BA3101EDC746F00244DAC /* test_rapidPiPoTools.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EE11ED8480D00E9FAFA /* test_rapidPiPoTools.cpp */; };
+		311BA3101EDC746F00244DAC /* test_rapidPiPo.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EE11ED8480D00E9FAFA /* test_rapidPiPo.cpp */; };
 		311BA3111EDC747A00244DAC /* rapidPiPoHost.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 311BA2AC1EDC6AED00244DAC /* rapidPiPoHost.cpp */; };
-		311BA3161EDC74E000244DAC /* libpipo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 311BA3141EDC74C400244DAC /* libpipo.a */; };
 		311BA31A1EDC7ADE00244DAC /* fft.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5A0E1ED8450C00E9FAFA /* fft.cpp */; };
 		311BA31B1EDC7ADE00244DAC /* maxiBark.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5A121ED8450C00E9FAFA /* maxiBark.cpp */; };
 		311BA31C1EDC7ADE00244DAC /* maxiFFT.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5A141ED8450C00E9FAFA /* maxiFFT.cpp */; };
 		311BA31D1EDC7ADE00244DAC /* maxiMFCC.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5A191ED8450C00E9FAFA /* maxiMFCC.cpp */; };
 		311BA31E1EDC7ADE00244DAC /* maximilian.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5A1F1ED8450C00E9FAFA /* maximilian.cpp */; };
 		311BA3211EDC7B2400244DAC /* Accelerate.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 311BA3201EDC7B2400244DAC /* Accelerate.framework */; };
-		311BA3241EDC7BA800244DAC /* DnB-loop-175BPM.wav in CopyFiles */ = {isa = PBXBuildFile; fileRef = 311BA3231EDC7BA400244DAC /* DnB-loop-175BPM.wav */; };
 		311BA3251EDCE80B00244DAC /* jsoncpp.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5E081ED8450E00E9FAFA /* jsoncpp.cpp */; };
+		312C61BD1FE95A680085E283 /* trainingData.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5EC01ED8459300E9FAFA /* trainingData.cpp */; };
+		312C61CD1FE95A680085E283 /* jsoncpp.cpp in Sources */ = {isa = PBXBuildFile; fileRef = BE2C5E081ED8450E00E9FAFA /* jsoncpp.cpp */; };
+		312C61D41FE95A8F0085E283 /* test_trainingData.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 312C61B71FE958CB0085E283 /* test_trainingData.cpp */; };
+		319C94A11FC5BFA80055BE40 /* PiPoHost.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 319C93FD1FC49BAA0055BE40 /* PiPoHost.cpp */; };
+		319C94A21FC5C0C10055BE40 /* PiPoCollection.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 319C947C1FC49D490055BE40 /* PiPoCollection.cpp */; };
+		319C94A31FC5C0DE0055BE40 /* BayesianFilter.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 319C93ED1FC49B5C0055BE40 /* BayesianFilter.cpp */; };
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-				311BA3121EDC74B300244DAC /* lib */,
-				311BA2B51EDC6C6F00244DAC /* host */,
-				311BA2B01EDC6C5A00244DAC /* include */,
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+				0BE2E7301EE56E6D00722712 /* GVF.h */,
+				0BE2E7311EE56E6D00722712 /* GVFGesture.h */,
+				0BE2E7321EE56E6D00722712 /* GVFUtils.h */,
+				0BE2E7331EE56E6D00722712 /* LICENSE */,
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-				311BA2BE1EDC6E7100244DAC /* models */,
-				311BA2BD1EDC6E6700244DAC /* core */,
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-				311BA2A91EDC6ADB00244DAC /* rapidXmmTools.cpp */,
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+				311BA2BE1EDC6E7100244DAC /* models */,
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 			name = kmeans;
 			sourceTree = "<group>";
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 			children = (
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 			children = (
-				311BA3201EDC7B2400244DAC /* Accelerate.framework */,
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+				319C94791FC49D170055BE40 /* mimo */,
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+				319C947F1FC49D690055BE40 /* PiPoBasic.h */,
+				319C94801FC49D690055BE40 /* PiPoBayesFilter.h */,
+				319C94811FC49D690055BE40 /* PiPoBiquad.h */,
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+				319C94851FC49D690055BE40 /* PiPoDct.h */,
+				319C94861FC49D690055BE40 /* PiPoDelta.h */,
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+				319C948B1FC49D690055BE40 /* PiPoIdentity.h */,
+				319C948C1FC49D690055BE40 /* PiPoIdesc.h */,
+				319C948D1FC49D690055BE40 /* PiPoLpc.h */,
+				319C948E1FC49D690055BE40 /* PiPoMaximChroma.h */,
+				319C948F1FC49D690055BE40 /* PiPoMeanStddev.h */,
+				319C94901FC49D690055BE40 /* PiPoMedian.h */,
+				319C94911FC49D690055BE40 /* PiPoMel.h */,
+				319C94921FC49D690055BE40 /* PiPoMfcc.h */,
+				319C94931FC49D690055BE40 /* PiPoMinMax.h */,
+				319C94941FC49D690055BE40 /* PiPoMoments.h */,
+				319C94951FC49D690055BE40 /* PiPoMvavrg.h */,
+				319C94961FC49D690055BE40 /* PiPoOnseg.h */,
+				319C94971FC49D690055BE40 /* PiPoPeaks.h */,
+				319C94981FC49D690055BE40 /* PiPoPsy.h */,
+				319C94991FC49D690055BE40 /* PiPoRms.h */,
+				319C949A1FC49D690055BE40 /* PiPoScale.h */,
+				319C949B1FC49D690055BE40 /* PiPoSelect.h */,
+				319C949C1FC49D690055BE40 /* PiPoSlice.h */,
+				319C949D1FC49D690055BE40 /* PiPoSum.h */,
+				319C949E1FC49D690055BE40 /* PiPoWavelet.h */,
+				319C949F1FC49D690055BE40 /* PiPoYin.h */,
+				319C94A01FC49D690055BE40 /* TempMod.h */,
 			);
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+				319C94381FC49CC10055BE40 /* rta_lifter.h */,
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+				319C94461FC49CC10055BE40 /* rta_window.h */,
+				319C94471FC49CC10055BE40 /* rta_yin.c */,
+				319C94481FC49CC10055BE40 /* rta_yin.h */,
+			);
+			name = signal;
+			sourceTree = "<group>";
+		};
+		319C94081FC49C790055BE40 /* recognition */ = {
+			isa = PBXGroup;
+			children = (
+				319C945B1FC49CD10055BE40 /* rta_kdtree.c */,
+				319C945C1FC49CD10055BE40 /* rta_kdtree.h */,
+				319C945D1FC49CD10055BE40 /* rta_kdtreebuild.c */,
+				319C945E1FC49CD10055BE40 /* rta_kdtreeintern.h */,
+				319C945F1FC49CD10055BE40 /* rta_kdtreesearch.c */,
+				319C94601FC49CD10055BE40 /* rta_mahalanobis.c */,
+				319C94611FC49CD10055BE40 /* rta_mahalanobis.h */,
+			);
+			name = recognition;
+			sourceTree = "<group>";
+		};
+		319C94091FC49C840055BE40 /* physical-models */ = {
+			isa = PBXGroup;
+			children = (
+			);
+			name = "physical-models";
+			sourceTree = "<group>";
+		};
+		319C94751FC49D020055BE40 /* finitedifferences */ = {
+			isa = PBXGroup;
+			children = (
+				319C94761FC49D120055BE40 /* finitedifferences.c */,
+				319C94771FC49D120055BE40 /* finitedifferences.h */,
+			);
+			name = finitedifferences;
+			sourceTree = "<group>";
+		};
+		319C94791FC49D170055BE40 /* mimo */ = {
+			isa = PBXGroup;
+			children = (
+				319C947A1FC49D260055BE40 /* mimo_stats.h */,
+			);
+			name = mimo;
+			sourceTree = "<group>";
+		};
+		319C947B1FC49D380055BE40 /* collection */ = {
+			isa = PBXGroup;
+			children = (
+				319C947C1FC49D490055BE40 /* PiPoCollection.cpp */,
+			);
+			name = collection;
+			sourceTree = "<group>";
+		};
+		31A8F1931F4ECD0500CA8CEC /* rapidXMM */ = {
+			isa = PBXGroup;
+			children = (
+				31A8F1941F4ECD1200CA8CEC /* rapidXMM.cpp */,
+				31A8F1951F4ECD1200CA8CEC /* rapidXMM.h */,
+			);
+			name = rapidXMM;
 			sourceTree = "<group>";
 		};
 		BE2C5A081ED8450C00E9FAFA /* dependencies */ = {
 			isa = PBXGroup;
 			children = (
+				319C93E91FC49B270055BE40 /* pipo */,
+				0BE2E72E1EE56E6D00722712 /* GVF */,
 				311BA2A51EDC698D00244DAC /* xmm */,
-				311BA2A41EDC698600244DAC /* pipo */,
 				BE2C5A091ED8450C00E9FAFA /* Maximilian */,
 				BE2C5BBE1ED8450D00E9FAFA /* RapidLib */,
 				BE2C5E041ED8450E00E9FAFA /* third_party */,
@@ -643,9 +956,21 @@
 		BE2C5DE81ED8450E00E9FAFA /* src */ = {
 			isa = PBXGroup;
 			children = (
+				BEF47B1F1F7A74FC005B0C35 /* warpPath.cpp */,
+				BEF47B201F7A74FC005B0C35 /* warpPath.h */,
+				BEF47B1C1F7A74EE005B0C35 /* fastDTW.cpp */,
+				BEF47B1D1F7A74EE005B0C35 /* fastDTW.h */,
+				BEF47B191F7A74E5005B0C35 /* searchWindow.cpp */,
+				BEF47B1A1F7A74E5005B0C35 /* searchWindow.h */,
+				BE9286571EF01C45006847CF /* dtw.cpp */,
+				BE9286581EF01C45006847CF /* dtw.h */,
+				BE9286531EF01A23006847CF /* seriesClassification.cpp */,
+				BE9286541EF01A23006847CF /* seriesClassification.h */,
+				BE92864E1EF017E2006847CF /* svmClassification.cpp */,
+				BE92864F1EF017E2006847CF /* svmClassification.h */,
+				BE92864A1EF015E7006847CF /* rapidStream.cpp */,
+				BE92864B1EF015E7006847CF /* rapidStream.h */,
 				BE2C5DE91ED8450E00E9FAFA /* baseModel.h */,
-				BE2C5EED1ED849AA00E9FAFA /* svm.cpp */,
-				BE2C5EEE1ED849AA00E9FAFA /* svm.h */,
 				BE2C5DEA1ED8450E00E9FAFA /* classification.cpp */,
 				BE2C5DEB1ED8450E00E9FAFA /* classification.h */,
 				BE2C5DF31ED8450E00E9FAFA /* knnClassification.cpp */,
@@ -696,7 +1021,8 @@
 		BE2C5EBD1ED8459300E9FAFA /* machineLearning */ = {
 			isa = PBXGroup;
 			children = (
-				311BA2A71EDC6AC300244DAC /* rapidXmmTools */,
+				31A8F1931F4ECD0500CA8CEC /* rapidXMM */,
+				0BE2E7341EE56F4F00722712 /* rapidGVF */,
 				BE2C5EBE1ED8459300E9FAFA /* machineLearning.cpp */,
 				BE2C5EBF1ED8459300E9FAFA /* machineLearning.h */,
 				BE2C5EC01ED8459300E9FAFA /* trainingData.cpp */,
@@ -709,21 +1035,11 @@
 			isa = PBXGroup;
 			children = (
 				311BA2A81EDC6ACC00244DAC /* rapidPiPoTools */,
-				BE2C5EC41ED8459300E9FAFA /* rapidStream */,
 				BE2C5EC71ED8459300E9FAFA /* signalProcessing.h */,
 			);
 			path = signalProcessing;
 			sourceTree = "<group>";
 		};
-		BE2C5EC41ED8459300E9FAFA /* rapidStream */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5EC51ED8459300E9FAFA /* rapidStream.cpp */,
-				BE2C5EC61ED8459300E9FAFA /* rapidStream.h */,
-			);
-			path = rapidStream;
-			sourceTree = "<group>";
-		};
 		BE2C5ED91ED8471F00E9FAFA /* catch */ = {
 			isa = PBXGroup;
 			children = (
@@ -748,57 +1064,14 @@
 				BE2C5EE01ED8480D00E9FAFA /* test_rapidmix-api.cpp */,
 				BE2C5EDE1ED8480D00E9FAFA /* test_gvf.cpp */,
 				BE2C5EDF1ED8480D00E9FAFA /* test_RapidLib.cpp */,
-				BE2C5EE11ED8480D00E9FAFA /* test_rapidPiPoTools.cpp */,
-				BE2C5EE21ED8480D00E9FAFA /* test_rapidXmmTools.cpp */,
+				BE2C5EE11ED8480D00E9FAFA /* test_rapidPiPo.cpp */,
+				BE2C5EE21ED8480D00E9FAFA /* test_rapidXMM.cpp */,
 				BE2C5EE31ED8480D00E9FAFA /* test_signalProcessing.cpp */,
+				312C61B71FE958CB0085E283 /* test_trainingData.cpp */,
 			);
 			path = src;
 			sourceTree = "<group>";
 		};
-		BE2C5EF01EDD73D000E9FAFA /* modules */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5EF11EDD73D000E9FAFA /* mimo */,
-				BE2C5EF31EDD73D000E9FAFA /* PiPoBands.h */,
-				BE2C5EF41EDD73D000E9FAFA /* PiPoBayesFilter.h */,
-				BE2C5EF51EDD73D000E9FAFA /* PiPoBiquad.h */,
-				BE2C5EF61EDD73D000E9FAFA /* PiPoChop.h */,
-				BE2C5EF71EDD73D000E9FAFA /* PiPoConst.h */,
-				BE2C5EF81EDD73D000E9FAFA /* PiPoDct.h */,
-				BE2C5EF91EDD73D000E9FAFA /* PiPoDelta.h */,
-				BE2C5EFA1EDD73D000E9FAFA /* PiPoFft.h */,
-				BE2C5EFB1EDD73D000E9FAFA /* PiPoFiniteDif.h */,
-				BE2C5EFC1EDD73D000E9FAFA /* PiPoGate.h */,
-				BE2C5EFD1EDD73D000E9FAFA /* PiPoLpc.h */,
-				BE2C5EFE1EDD73D000E9FAFA /* PiPoLpcFormants.h */,
-				BE2C5EFF1EDD73D000E9FAFA /* PiPoMeanStddev.h */,
-				BE2C5F001EDD73D000E9FAFA /* PiPoMedian.h */,
-				BE2C5F011EDD73D000E9FAFA /* PiPoMel.h */,
-				BE2C5F021EDD73D000E9FAFA /* PiPoMfcc.h */,
-				BE2C5F031EDD73D000E9FAFA /* PiPoMinMax.h */,
-				BE2C5F041EDD73D000E9FAFA /* PiPoMoments.h */,
-				BE2C5F051EDD73D000E9FAFA /* PiPoMvavrg.h */,
-				BE2C5F061EDD73D000E9FAFA /* PiPoOnseg.h */,
-				BE2C5F071EDD73D000E9FAFA /* PiPoPeaks.h */,
-				BE2C5F081EDD73D000E9FAFA /* PiPoRms.h */,
-				BE2C5F091EDD73D000E9FAFA /* PiPoScale.h */,
-				BE2C5F0A1EDD73D000E9FAFA /* PiPoSelect.h */,
-				BE2C5F0B1EDD73D000E9FAFA /* PiPoSlice.h */,
-				BE2C5F0C1EDD73D000E9FAFA /* PiPoSum.h */,
-				BE2C5F0D1EDD73D000E9FAFA /* TempMod.h */,
-			);
-			name = modules;
-			path = pipo/src/modules;
-			sourceTree = "<group>";
-		};
-		BE2C5EF11EDD73D000E9FAFA /* mimo */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5EF21EDD73D000E9FAFA /* mimo_stats.h */,
-			);
-			path = mimo;
-			sourceTree = "<group>";
-		};
 		BE2C5F0E1EDD74BC00E9FAFA /* libsvm */ = {
 			isa = PBXGroup;
 			children = (
@@ -809,123 +1082,6 @@
 			path = libsvm;
 			sourceTree = "<group>";
 		};
-		BE2C5F131EDD74FC00E9FAFA /* dependencies */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F141EDD74FC00E9FAFA /* bayesfilter */,
-				BE2C5F191EDD74FC00E9FAFA /* finitedifferences */,
-				BE2C5F1C1EDD74FC00E9FAFA /* lpcformants */,
-				BE2C5F211EDD74FC00E9FAFA /* rta */,
-			);
-			name = dependencies;
-			path = pipo/src/dependencies;
-			sourceTree = "<group>";
-		};
-		BE2C5F141EDD74FC00E9FAFA /* bayesfilter */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F151EDD74FC00E9FAFA /* BayesianFilter.cpp */,
-				BE2C5F161EDD74FC00E9FAFA /* BayesianFilter.h */,
-				BE2C5F171EDD74FC00E9FAFA /* filter_utilities.cpp */,
-				BE2C5F181EDD74FC00E9FAFA /* filter_utilities.h */,
-			);
-			path = bayesfilter;
-			sourceTree = "<group>";
-		};
-		BE2C5F191EDD74FC00E9FAFA /* finitedifferences */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F1A1EDD74FC00E9FAFA /* finitedifferences.c */,
-				BE2C5F1B1EDD74FC00E9FAFA /* finitedifferences.h */,
-			);
-			path = finitedifferences;
-			sourceTree = "<group>";
-		};
-		BE2C5F1C1EDD74FC00E9FAFA /* lpcformants */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F1D1EDD74FC00E9FAFA /* bbpr.cpp */,
-				BE2C5F1E1EDD74FC00E9FAFA /* bbpr.h */,
-				BE2C5F1F1EDD74FC00E9FAFA /* rpoly.cpp */,
-				BE2C5F201EDD74FC00E9FAFA /* rpoly.h */,
-			);
-			path = lpcformants;
-			sourceTree = "<group>";
-		};
-		BE2C5F211EDD74FC00E9FAFA /* rta */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F221EDD74FC00E9FAFA /* common */,
-				BE2C5F301EDD74FC00E9FAFA /* misc */,
-				BE2C5F561EDD74FC00E9FAFA /* rta_configuration.h */,
-			);
-			path = rta;
-			sourceTree = "<group>";
-		};
-		BE2C5F221EDD74FC00E9FAFA /* common */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F231EDD74FC00E9FAFA /* rta.h */,
-				BE2C5F241EDD74FC00E9FAFA /* rta_bpf.c */,
-				BE2C5F251EDD74FC00E9FAFA /* rta_bpf.h */,
-				BE2C5F261EDD74FC00E9FAFA /* rta_complex.h */,
-				BE2C5F271EDD74FC00E9FAFA /* rta_float.h */,
-				BE2C5F281EDD74FC00E9FAFA /* rta_int.c */,
-				BE2C5F291EDD74FC00E9FAFA /* rta_int.h */,
-				BE2C5F2A1EDD74FC00E9FAFA /* rta_math.h */,
-				BE2C5F2B1EDD74FC00E9FAFA /* rta_stdio.h */,
-				BE2C5F2C1EDD74FC00E9FAFA /* rta_stdlib.h */,
-				BE2C5F2D1EDD74FC00E9FAFA /* rta_types.h */,
-				BE2C5F2E1EDD74FC00E9FAFA /* rta_util.c */,
-				BE2C5F2F1EDD74FC00E9FAFA /* rta_util.h */,
-			);
-			path = common;
-			sourceTree = "<group>";
-		};
-		BE2C5F301EDD74FC00E9FAFA /* misc */ = {
-			isa = PBXGroup;
-			children = (
-				BE2C5F311EDD74FC00E9FAFA /* rta_bands.c */,
-				BE2C5F321EDD74FC00E9FAFA /* rta_bands.h */,
-				BE2C5F331EDD74FC00E9FAFA /* rta_biquad.c */,
-				BE2C5F341EDD74FC00E9FAFA /* rta_biquad.h */,
-				BE2C5F351EDD74FC00E9FAFA /* rta_correlation.c */,
-				BE2C5F361EDD74FC00E9FAFA /* rta_correlation.h */,
-				BE2C5F371EDD74FC00E9FAFA /* rta_cubic.c */,
-				BE2C5F381EDD74FC00E9FAFA /* rta_cubic.h */,
-				BE2C5F391EDD74FC00E9FAFA /* rta_dct.c */,
-				BE2C5F3A1EDD74FC00E9FAFA /* rta_dct.h */,
-				BE2C5F3B1EDD74FC00E9FAFA /* rta_delta.c */,
-				BE2C5F3C1EDD74FC00E9FAFA /* rta_delta.h */,
-				BE2C5F3D1EDD74FC00E9FAFA /* rta_fft.c */,
-				BE2C5F3E1EDD74FC00E9FAFA /* rta_fft.h */,
-				BE2C5F3F1EDD74FC00E9FAFA /* rta_filter.h */,
-				BE2C5F401EDD74FC00E9FAFA /* rta_lifter.c */,
-				BE2C5F411EDD74FC00E9FAFA /* rta_lifter.h */,
-				BE2C5F421EDD74FC00E9FAFA /* rta_lpc.c */,
-				BE2C5F431EDD74FC00E9FAFA /* rta_lpc.h */,
-				BE2C5F441EDD74FC00E9FAFA /* rta_mean_variance.c */,
-				BE2C5F451EDD74FC00E9FAFA /* rta_mean_variance.h */,
-				BE2C5F461EDD74FC00E9FAFA /* rta_mel.c */,
-				BE2C5F471EDD74FC00E9FAFA /* rta_mel.h */,
-				BE2C5F481EDD74FC00E9FAFA /* rta_moments.c */,
-				BE2C5F491EDD74FC00E9FAFA /* rta_moments.h */,
-				BE2C5F4A1EDD74FC00E9FAFA /* rta_onepole.c */,
-				BE2C5F4B1EDD74FC00E9FAFA /* rta_onepole.h */,
-				BE2C5F4C1EDD74FC00E9FAFA /* rta_preemphasis.c */,
-				BE2C5F4D1EDD74FC00E9FAFA /* rta_preemphasis.h */,
-				BE2C5F4E1EDD74FC00E9FAFA /* rta_resample.c */,
-				BE2C5F4F1EDD74FC00E9FAFA /* rta_resample.h */,
-				BE2C5F501EDD74FC00E9FAFA /* rta_selection.c */,
-				BE2C5F511EDD74FC00E9FAFA /* rta_selection.h */,
-				BE2C5F521EDD74FC00E9FAFA /* rta_svd.c */,
-				BE2C5F531EDD74FC00E9FAFA /* rta_svd.h */,
-				BE2C5F541EDD74FC00E9FAFA /* rta_window.c */,
-				BE2C5F551EDD74FC00E9FAFA /* rta_window.h */,
-			);
-			path = misc;
-			sourceTree = "<group>";
-		};
 		BE325F281DB50BE100F199A8 = {
 			isa = PBXGroup;
 			children = (
@@ -942,9 +1098,10 @@
 			children = (
 				0BFFEF1B1E56082700EF19A5 /* test_GVF */,
 				0BFFEF261E56083C00EF19A5 /* test_RapidLib */,
-				0BFFEF311E56085C00EF19A5 /* test_rapidXmmTools */,
+				0BFFEF311E56085C00EF19A5 /* test_rapidXMM */,
 				0BFFEF3F1E5608C000EF19A5 /* test_signalProcessing */,
-				31D7B72C1E6B048100917757 /* test_rapidPiPoTools */,
+				31D7B72C1E6B048100917757 /* test_rapidPiPo */,
+				312C61D31FE95A680085E283 /* test_trainingData */,
 			);
 			name = Products;
 			sourceTree = "<group>";
@@ -986,9 +1143,9 @@
 			productReference = 0BFFEF261E56083C00EF19A5 /* test_RapidLib */;
 			productType = "com.apple.product-type.tool";
 		};
-		0BFFEF301E56085C00EF19A5 /* test_rapidXmmTools */ = {
+		0BFFEF301E56085C00EF19A5 /* test_rapidXMM */ = {
 			isa = PBXNativeTarget;
-			buildConfigurationList = 0BFFEF351E56085C00EF19A5 /* Build configuration list for PBXNativeTarget "test_rapidXmmTools" */;
+			buildConfigurationList = 0BFFEF351E56085C00EF19A5 /* Build configuration list for PBXNativeTarget "test_rapidXMM" */;
 			buildPhases = (
 				0BFFEF2D1E56085C00EF19A5 /* Sources */,
 				0BFFEF2E1E56085C00EF19A5 /* Frameworks */,
@@ -998,9 +1155,9 @@
 			);
 			dependencies = (
 			);
-			name = test_rapidXmmTools;
+			name = test_rapidXMM;
 			productName = test_XMM;
-			productReference = 0BFFEF311E56085C00EF19A5 /* test_rapidXmmTools */;
+			productReference = 0BFFEF311E56085C00EF19A5 /* test_rapidXMM */;
 			productType = "com.apple.product-type.tool";
 		};
 		0BFFEF3E1E5608C000EF19A5 /* test_signalProcessing */ = {
@@ -1020,9 +1177,26 @@
 			productReference = 0BFFEF3F1E5608C000EF19A5 /* test_signalProcessing */;
 			productType = "com.apple.product-type.tool";
 		};
-		31D7B7121E6B048100917757 /* test_rapidPiPoTools */ = {
+		312C61B91FE95A680085E283 /* test_trainingData */ = {
 			isa = PBXNativeTarget;
-			buildConfigurationList = 31D7B7291E6B048100917757 /* Build configuration list for PBXNativeTarget "test_rapidPiPoTools" */;
+			buildConfigurationList = 312C61D01FE95A680085E283 /* Build configuration list for PBXNativeTarget "test_trainingData" */;
+			buildPhases = (
+				312C61BA1FE95A680085E283 /* Sources */,
+				312C61CE1FE95A680085E283 /* Frameworks */,
+				312C61CF1FE95A680085E283 /* CopyFiles */,
+			);
+			buildRules = (
+			);
+			dependencies = (
+			);
+			name = test_trainingData;
+			productName = test_XMM;
+			productReference = 312C61D31FE95A680085E283 /* test_trainingData */;
+			productType = "com.apple.product-type.tool";
+		};
+		31D7B7121E6B048100917757 /* test_rapidPiPo */ = {
+			isa = PBXNativeTarget;
+			buildConfigurationList = 31D7B7291E6B048100917757 /* Build configuration list for PBXNativeTarget "test_rapidPiPo" */;
 			buildPhases = (
 				31D7B7131E6B048100917757 /* Sources */,
 				31D7B7271E6B048100917757 /* Frameworks */,
@@ -1032,9 +1206,9 @@
 			);
 			dependencies = (
 			);
-			name = test_rapidPiPoTools;
+			name = test_rapidPiPo;
 			productName = test_XMM;
-			productReference = 31D7B72C1E6B048100917757 /* test_rapidPiPoTools */;
+			productReference = 31D7B72C1E6B048100917757 /* test_rapidPiPo */;
 			productType = "com.apple.product-type.tool";
 		};
 /* End PBXNativeTarget section */
@@ -1043,7 +1217,7 @@
 		BE325F291DB50BE100F199A8 /* Project object */ = {
 			isa = PBXProject;
 			attributes = {
-				LastUpgradeCheck = 0730;
+				LastUpgradeCheck = 0910;
 				ORGANIZATIONNAME = Goldsmiths;
 				TargetAttributes = {
 					0BFFEF1A1E56082700EF19A5 = {
@@ -1074,9 +1248,10 @@
 			targets = (
 				0BFFEF1A1E56082700EF19A5 /* test_GVF */,
 				0BFFEF251E56083C00EF19A5 /* test_RapidLib */,
-				31D7B7121E6B048100917757 /* test_rapidPiPoTools */,
-				0BFFEF301E56085C00EF19A5 /* test_rapidXmmTools */,
+				31D7B7121E6B048100917757 /* test_rapidPiPo */,
+				0BFFEF301E56085C00EF19A5 /* test_rapidXMM */,
 				0BFFEF3E1E5608C000EF19A5 /* test_signalProcessing */,
+				312C61B91FE95A680085E283 /* test_trainingData */,
 			);
 		};
 /* End PBXProject section */
@@ -1086,7 +1261,27 @@
 			isa = PBXSourcesBuildPhase;
 			buildActionMask = 2147483647;
 			files = (
+				BE5733101F505FC80063F4D1 /* svmClassification.cpp in Sources */,
+				BE57330F1F505FBD0063F4D1 /* knnClassification.cpp in Sources */,
+				BE57330E1F505FAD0063F4D1 /* modelSet.cpp in Sources */,
+				BE57330D1F505FAA0063F4D1 /* classification.cpp in Sources */,
+				BE57330C1F505F9B0063F4D1 /* neuralNetwork.cpp in Sources */,
+				BE57330A1F505F870063F4D1 /* regression.cpp in Sources */,
+				BE57330B1F505F920063F4D1 /* dtw.cpp in Sources */,
+				BEF47B1B1F7A74E5005B0C35 /* searchWindow.cpp in Sources */,
+				BE92864C1EF015E7006847CF /* rapidStream.cpp in Sources */,
+				BE5733091F505F7F0063F4D1 /* seriesClassification.cpp in Sources */,
+				0BA41BAE1EE6E10A00B74667 /* jsoncpp.cpp in Sources */,
+				0BE2E7381EE56F5800722712 /* GVF.cpp in Sources */,
+				0BE2E7371EE56F4F00722712 /* rapidGVF.cpp in Sources */,
+				BEF47B1E1F7A74EE005B0C35 /* fastDTW.cpp in Sources */,
+				BEF47B211F7A74FC005B0C35 /* warpPath.cpp in Sources */,
 				BEA7B7211EDD97130003E84B /* test_gvf.cpp in Sources */,
+				0BA41BAD1EE6E0ED00B74667 /* trainingData.cpp in Sources */,
+				BE5733061F505ECC0063F4D1 /* machineLearning.cpp in Sources */,
+				BE5733111F505FDC0063F4D1 /* libsvm.cpp in Sources */,
+				BE0AC6271FD1768D008056E6 /* BayesianFilter.cpp in Sources */,
+				BE0AC6281FD17690008056E6 /* filter_utilities.cpp in Sources */,
 			);
 			runOnlyForDeploymentPostprocessing = 0;
 		};
@@ -1096,14 +1291,22 @@
 			files = (
 				BEA7B7181EDD7C0E0003E84B /* test_RapidLib.cpp in Sources */,
 				BEA7B7161EDD7B700003E84B /* regression.cpp in Sources */,
+				BE92865A1EF01C4A006847CF /* dtw.cpp in Sources */,
 				BEA7B7151EDD7B6E0003E84B /* neuralNetwork.cpp in Sources */,
 				BEA7B7141EDD7B6B0003E84B /* modelSet.cpp in Sources */,
+				BE9286561EF01A2D006847CF /* seriesClassification.cpp in Sources */,
 				BEA7B7131EDD7B690003E84B /* knnClassification.cpp in Sources */,
 				BEA7B7121EDD7B660003E84B /* classification.cpp in Sources */,
 				BEA7B70F1EDD7B350003E84B /* machineLearning.cpp in Sources */,
 				BEA7B7101EDD7B390003E84B /* trainingData.cpp in Sources */,
-				BEA7B7111EDD7B640003E84B /* svm.cpp in Sources */,
 				BEA7B7171EDD7B7E0003E84B /* jsoncpp.cpp in Sources */,
+				BE9286511EF01801006847CF /* svmClassification.cpp in Sources */,
+				BE9286521EF01823006847CF /* libsvm.cpp in Sources */,
+				BE5733071F505F190063F4D1 /* rapidGVF.cpp in Sources */,
+				BE5733081F505F310063F4D1 /* GVF.cpp in Sources */,
+				BEF47B231F7A868B005B0C35 /* warpPath.cpp in Sources */,
+				BEF47B241F7A8693005B0C35 /* searchWindow.cpp in Sources */,
+				BEF47B221F7A8685005B0C35 /* fastDTW.cpp in Sources */,
 			);
 			runOnlyForDeploymentPostprocessing = 0;
 		};
@@ -1111,8 +1314,8 @@
 			isa = PBXSourcesBuildPhase;
 			buildActionMask = 2147483647;
 			files = (
-				311BA2A61EDC6A8900244DAC /* test_rapidXmmTools.cpp in Sources */,
-				311BA2FD1EDC6F9F00244DAC /* rapidXmmTools.cpp in Sources */,
+				31A8F1971F4ECF3300CA8CEC /* rapidXMM.cpp in Sources */,
+				311BA2A61EDC6A8900244DAC /* test_rapidXMM.cpp in Sources */,
 				311BA30F1EDC711E00244DAC /* trainingData.cpp in Sources */,
 				311BA2FE1EDC6FD000244DAC /* xmmKMeans.cpp in Sources */,
 				311BA2FF1EDC6FD000244DAC /* xmmKMeansParameters.cpp in Sources */,
@@ -1137,12 +1340,24 @@
 			isa = PBXSourcesBuildPhase;
 			buildActionMask = 2147483647;
 			files = (
-				BEA7B7191EDD95C40003E84B /* test_signalProcessing.cpp in Sources */,
-				BEA7B71A1EDD95E90003E84B /* rapidStream.cpp in Sources */,
 				BEA7B71B1EDD96090003E84B /* maxiFFT.cpp in Sources */,
 				BEA7B71C1EDD960F0003E84B /* maxiMFCC.cpp in Sources */,
 				BEA7B71D1EDD96140003E84B /* fft.cpp in Sources */,
+				BE9286491EF015AE006847CF /* test_signalProcessing.cpp in Sources */,
 				BEA7B71E1EDD963E0003E84B /* maximilian.cpp in Sources */,
+				BE92864D1EF01622006847CF /* rapidStream.cpp in Sources */,
+				BE0AC6251FD17669008056E6 /* BayesianFilter.cpp in Sources */,
+				BE0AC6261FD1766D008056E6 /* filter_utilities.cpp in Sources */,
+			);
+			runOnlyForDeploymentPostprocessing = 0;
+		};
+		312C61BA1FE95A680085E283 /* Sources */ = {
+			isa = PBXSourcesBuildPhase;
+			buildActionMask = 2147483647;
+			files = (
+				312C61D41FE95A8F0085E283 /* test_trainingData.cpp in Sources */,
+				312C61BD1FE95A680085E283 /* trainingData.cpp in Sources */,
+				312C61CD1FE95A680085E283 /* jsoncpp.cpp in Sources */,
 			);
 			runOnlyForDeploymentPostprocessing = 0;
 		};
@@ -1150,7 +1365,33 @@
 			isa = PBXSourcesBuildPhase;
 			buildActionMask = 2147483647;
 			files = (
-				311BA3101EDC746F00244DAC /* test_rapidPiPoTools.cpp in Sources */,
+				319C94A51FC5C1200055BE40 /* finitedifferences.c in Sources */,
+				319C94A61FC5C1200055BE40 /* rta_bands.c in Sources */,
+				319C94A71FC5C1200055BE40 /* rta_biquad.c in Sources */,
+				319C94A81FC5C1200055BE40 /* rta_correlation.c in Sources */,
+				319C94A91FC5C1200055BE40 /* rta_cubic.c in Sources */,
+				319C94AA1FC5C1200055BE40 /* rta_dct.c in Sources */,
+				319C94AB1FC5C1200055BE40 /* rta_delta.c in Sources */,
+				319C94AC1FC5C1200055BE40 /* rta_fft.c in Sources */,
+				319C94AD1FC5C1200055BE40 /* rta_lifter.c in Sources */,
+				319C94AE1FC5C1200055BE40 /* rta_lpc.c in Sources */,
+				319C94AF1FC5C1200055BE40 /* rta_mel.c in Sources */,
+				319C94B11FC5C1200055BE40 /* rta_preemphasis.c in Sources */,
+				319C94B21FC5C1200055BE40 /* rta_psy.c in Sources */,
+				319C94B41FC5C1200055BE40 /* rta_window.c in Sources */,
+				319C94B51FC5C1200055BE40 /* rta_yin.c in Sources */,
+				319C94B61FC5C1200055BE40 /* rta_mean_variance.c in Sources */,
+				319C94B71FC5C1200055BE40 /* rta_moments.c in Sources */,
+				319C94B81FC5C1200055BE40 /* rta_selection.c in Sources */,
+				319C94B91FC5C1200055BE40 /* rta_svd.c in Sources */,
+				319C94BA1FC5C1200055BE40 /* rta_bpf.c in Sources */,
+				319C94BB1FC5C1200055BE40 /* rta_int.c in Sources */,
+				319C94BC1FC5C1200055BE40 /* rta_util.c in Sources */,
+				319C94A31FC5C0DE0055BE40 /* BayesianFilter.cpp in Sources */,
+				319C94A41FC5C0DE0055BE40 /* filter_utilities.cpp in Sources */,
+				319C94A21FC5C0C10055BE40 /* PiPoCollection.cpp in Sources */,
+				319C94A11FC5BFA80055BE40 /* PiPoHost.cpp in Sources */,
+				311BA3101EDC746F00244DAC /* test_rapidPiPo.cpp in Sources */,
 				311BA3111EDC747A00244DAC /* rapidPiPoHost.cpp in Sources */,
 				311BA31A1EDC7ADE00244DAC /* fft.cpp in Sources */,
 				311BA31B1EDC7ADE00244DAC /* maxiBark.cpp in Sources */,
@@ -1167,6 +1408,8 @@
 		0BFFEF201E56082700EF19A5 /* Debug */ = {
 			isa = XCBuildConfiguration;
 			buildSettings = {
+				CLANG_WARN_INT_CONVERSION = YES;
+				GCC_WARN_64_TO_32_BIT_CONVERSION = NO;
 				MACOSX_DEPLOYMENT_TARGET = 10.11;
 				PRODUCT_NAME = "$(TARGET_NAME)";
 				SDKROOT = macosx;
@@ -1176,6 +1419,8 @@
 		0BFFEF211E56082700EF19A5 /* Release */ = {
 			isa = XCBuildConfiguration;
 			buildSettings = {
+				CLANG_WARN_INT_CONVERSION = YES;
+				GCC_WARN_64_TO_32_BIT_CONVERSION = NO;
 				MACOSX_DEPLOYMENT_TARGET = 10.11;
 				PRODUCT_NAME = "$(TARGET_NAME)";
 				SDKROOT = macosx;
@@ -1185,6 +1430,7 @@
 		0BFFEF2B1E56083D00EF19A5 /* Debug */ = {
 			isa = XCBuildConfiguration;
 			buildSettings = {
+				GCC_C_LANGUAGE_STANDARD = c11;
 				MACOSX_DEPLOYMENT_TARGET = 10.11;
 				PRODUCT_NAME = "$(TARGET_NAME)";
 			};
@@ -1193,6 +1439,7 @@
 		0BFFEF2C1E56083D00EF19A5 /* Release */ = {
 			isa = XCBuildConfiguration;
 			buildSettings = {
+				GCC_C_LANGUAGE_STANDARD = c11;
 				MACOSX_DEPLOYMENT_TARGET = 10.11;
 				PRODUCT_NAME = "$(TARGET_NAME)";
 			};
@@ -1230,10 +1477,25 @@
 			};
 			name = Release;
 		};
+		312C61D11FE95A680085E283 /* Debug */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				MACOSX_DEPLOYMENT_TARGET = 10.11;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+			};
+			name = Debug;
+		};
+		312C61D21FE95A680085E283 /* Release */ = {
+			isa = XCBuildConfiguration;
+			buildSettings = {
+				MACOSX_DEPLOYMENT_TARGET = 10.11;
+				PRODUCT_NAME = "$(TARGET_NAME)";
+			};
+			name = Release;
+		};
 		31D7B72A1E6B048100917757 /* Debug */ = {
 			isa = XCBuildConfiguration;
 			buildSettings = {
-				LIBRARY_SEARCH_PATHS = "$(PROJECT_DIR)/../dependencies/pipo/bin/**";
 				MACOSX_DEPLOYMENT_TARGET = 10.11;
 				PRODUCT_NAME = "$(TARGET_NAME)";
 			};
@@ -1242,7 +1504,6 @@
 		31D7B72B1E6B048100917757 /* Release */ = {
 			isa = XCBuildConfiguration;
 			buildSettings = {
-				LIBRARY_SEARCH_PATHS = "$(PROJECT_DIR)/../dependencies/pipo/bin/**";
 				MACOSX_DEPLOYMENT_TARGET = 10.11;
 				PRODUCT_NAME = "$(TARGET_NAME)";
 			};
@@ -1253,17 +1514,25 @@
 			buildSettings = {
 				ALWAYS_SEARCH_USER_PATHS = NO;
 				CLANG_ANALYZER_NONNULL = YES;
-				CLANG_CXX_LANGUAGE_STANDARD = "gnu++0x";
+				CLANG_CXX_LANGUAGE_STANDARD = "c++14";
 				CLANG_CXX_LIBRARY = "libc++";
 				CLANG_ENABLE_MODULES = YES;
 				CLANG_ENABLE_OBJC_ARC = YES;
+				CLANG_WARN_BLOCK_CAPTURE_AUTORELEASING = YES;
 				CLANG_WARN_BOOL_CONVERSION = YES;
+				CLANG_WARN_COMMA = YES;
 				CLANG_WARN_CONSTANT_CONVERSION = YES;
 				CLANG_WARN_DIRECT_OBJC_ISA_USAGE = YES_ERROR;
 				CLANG_WARN_EMPTY_BODY = YES;
 				CLANG_WARN_ENUM_CONVERSION = YES;
+				CLANG_WARN_INFINITE_RECURSION = YES;
 				CLANG_WARN_INT_CONVERSION = YES;
+				CLANG_WARN_NON_LITERAL_NULL_CONVERSION = YES;
+				CLANG_WARN_OBJC_LITERAL_CONVERSION = YES;
 				CLANG_WARN_OBJC_ROOT_CLASS = YES_ERROR;
+				CLANG_WARN_RANGE_LOOP_ANALYSIS = YES;
+				CLANG_WARN_STRICT_PROTOTYPES = YES;
+				CLANG_WARN_SUSPICIOUS_MOVE = YES;
 				CLANG_WARN_UNREACHABLE_CODE = YES;
 				CLANG_WARN__DUPLICATE_METHOD_MATCH = YES;
 				CODE_SIGN_IDENTITY = "-";
@@ -1296,17 +1565,25 @@
 			buildSettings = {
 				ALWAYS_SEARCH_USER_PATHS = NO;
 				CLANG_ANALYZER_NONNULL = YES;
-				CLANG_CXX_LANGUAGE_STANDARD = "gnu++0x";
+				CLANG_CXX_LANGUAGE_STANDARD = "c++14";
 				CLANG_CXX_LIBRARY = "libc++";
 				CLANG_ENABLE_MODULES = YES;
 				CLANG_ENABLE_OBJC_ARC = YES;
+				CLANG_WARN_BLOCK_CAPTURE_AUTORELEASING = YES;
 				CLANG_WARN_BOOL_CONVERSION = YES;
+				CLANG_WARN_COMMA = YES;
 				CLANG_WARN_CONSTANT_CONVERSION = YES;
 				CLANG_WARN_DIRECT_OBJC_ISA_USAGE = YES_ERROR;
 				CLANG_WARN_EMPTY_BODY = YES;
 				CLANG_WARN_ENUM_CONVERSION = YES;
+				CLANG_WARN_INFINITE_RECURSION = YES;
 				CLANG_WARN_INT_CONVERSION = YES;
+				CLANG_WARN_NON_LITERAL_NULL_CONVERSION = YES;
+				CLANG_WARN_OBJC_LITERAL_CONVERSION = YES;
 				CLANG_WARN_OBJC_ROOT_CLASS = YES_ERROR;
+				CLANG_WARN_RANGE_LOOP_ANALYSIS = YES;
+				CLANG_WARN_STRICT_PROTOTYPES = YES;
+				CLANG_WARN_SUSPICIOUS_MOVE = YES;
 				CLANG_WARN_UNREACHABLE_CODE = YES;
 				CLANG_WARN__DUPLICATE_METHOD_MATCH = YES;
 				CODE_SIGN_IDENTITY = "-";
@@ -1348,7 +1625,7 @@
 			defaultConfigurationIsVisible = 0;
 			defaultConfigurationName = Release;
 		};
-		0BFFEF351E56085C00EF19A5 /* Build configuration list for PBXNativeTarget "test_rapidXmmTools" */ = {
+		0BFFEF351E56085C00EF19A5 /* Build configuration list for PBXNativeTarget "test_rapidXMM" */ = {
 			isa = XCConfigurationList;
 			buildConfigurations = (
 				0BFFEF361E56085C00EF19A5 /* Debug */,
@@ -1366,7 +1643,16 @@
 			defaultConfigurationIsVisible = 0;
 			defaultConfigurationName = Release;
 		};
-		31D7B7291E6B048100917757 /* Build configuration list for PBXNativeTarget "test_rapidPiPoTools" */ = {
+		312C61D01FE95A680085E283 /* Build configuration list for PBXNativeTarget "test_trainingData" */ = {
+			isa = XCConfigurationList;
+			buildConfigurations = (
+				312C61D11FE95A680085E283 /* Debug */,
+				312C61D21FE95A680085E283 /* Release */,
+			);
+			defaultConfigurationIsVisible = 0;
+			defaultConfigurationName = Release;
+		};
+		31D7B7291E6B048100917757 /* Build configuration list for PBXNativeTarget "test_rapidPiPo" */ = {
 			isa = XCConfigurationList;
 			buildConfigurations = (
 				31D7B72A1E6B048100917757 /* Debug */,

tools/RapidVisualizerOSC/src/BarChart.cpp

+//
+//  BarChart.cpp
+//  RapidVisualizerOSC
+//
+//  Created by James on 09/11/2017.
+//
+//
+
+#include "BarChart.hpp"
+
+BarChart::BarChart ( GraphState* state ) : RealTimeGraph (state)
+{
+    //
+}
+
+BarChart::~BarChart ( void )
+{
+    
+}

tools/RapidVisualizerOSC/src/BarChart.hpp

+//
+//  BarChart.hpp
+//  RapidVisualizerOSC
+//
+//  Created by James on 09/11/2017.
+//
+//
+
+#ifndef BarChart_hpp
+#define BarChart_hpp
+
+#include <stdio.h>
+#include "RealTimeGraph.hpp"
+
+class BarChart : public RealTimeGraph
+{
+public:
+    BarChart ( GraphState* state ) : RealTimeGraph (state)
+    {
+        //
+    }
+    ~BarChart ( void )
+    {
+        //
+    }
+    void updateRep ( void )
+    {
+        //
+    }
+    void drawSubGraph ( std::string subLabel, DataContainer<std::vector<double>>& data, ofRectangle subLabelRect )
+    {
+        double
+        minIn = 0,
+        minOut = 0,
+        maxOut = -subLabelRect.height,
+        startPosY = subLabelRect.height,
+        barSize = subLabelRect.width/data.labelData.size(),
+        separation = barSize/16,
+        halfSeparation = separation/2;
+        bool drawZeroSep = false;
+        
+        if (data.minValue < 0)
+        { // Add negative part
+            startPosY = subLabelRect.height/2;
+            minIn = -data.maxValue;
+            minOut = subLabelRect.height/2;
+            maxOut /= 2;
+            drawZeroSep = true;
+        }
+        for (uint32_t i = 0; i < data.labelData.size(); ++i)
+        {
+            double output = mapVals(data.labelData[i], minIn, data.maxValue, minOut, maxOut );
+            ofSetColor (graphColor);
+            ofFill();
+            ofDrawRectangle(subLabelRect.x + barSize * i + halfSeparation, subLabelRect.y + startPosY, barSize - separation, output );
+            
+        }
+        if (drawZeroSep)
+        {
+            ofSetLineWidth(1.25);
+            ofSetColor (175,150,150);
+            ofDrawLine(subLabelRect.x, subLabelRect.y + startPosY,
+                       subLabelRect.x + subLabelRect.width, subLabelRect.y + startPosY);
+        }
+    }
+    void update ( void )
+    {
+        //
+    }
+};
+
+#endif /* BarChart_hpp */

tools/RapidVisualizerOSC/src/Graph.hpp

+//
+//  Graph.hpp
+//  RapidVisualizerOSC
+//
+//  Created by James on 09/11/2017.
+//
+//
+
+#ifndef Graph_h
+#define Graph_h
+
+#include <string>
+#include <vector>
+#include <list>
+#include "ofMain.h"
+#include "ofxGui.h"
+
+// TODO: add namespace, move funcs and struct to other header(s)
+enum class TextAlignment {
+    LEFT,
+    CENTER,
+    RIGHT
+};
+
+static inline void drawTextLabel ( std::string label, ofVec2f position, ofColor labelBackgroundColor, ofColor stringColor, TextAlignment alignment, bool drawAbove )
+{
+    uint32_t strLenPix = label.length()*8;
+    
+    switch (alignment) {
+        case TextAlignment::LEFT:
+            // No exception
+            break;
+        case TextAlignment::CENTER:
+            position.x -= strLenPix / 2;
+            break;
+        case TextAlignment::RIGHT:
+            position.x -= strLenPix;
+            break;
+        default:
+            break;
+    }
+    
+    ofSetColor (labelBackgroundColor);
+    ofRectangle bmpStringRect(position.x - 2,
+                              position.y + ((drawAbove) ? -4 : 12) + 2,
+                              strLenPix + 4, -12);
+    ofDrawRectangle(bmpStringRect);
+    
+    ofSetColor (stringColor);
+    ofDrawBitmapString(label, position.x, position.y + ((drawAbove) ? -4 : 12));
+}
+
+static inline double mapVals ( double x, double in_min, double in_max, double out_min, double out_max )
+{
+    return (x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;
+}
+
+template <typename T>
+struct DataContainer {
+    T labelData;
+    double minValue = 0.0;
+    double maxValue = 1.0;
+    uint32_t iteratorPos = 0;
+    //ofColor graphColor;
+    
+    void updateMinMax ( void )
+    {
+        auto mm = std::minmax_element(labelData.begin(), labelData.end());
+        double min = labelData[std::distance(labelData.begin(), mm.first)];
+        double max = labelData[std::distance(labelData.begin(), mm.second)];
+        
+        if (min < minValue)
+            minValue = min;
+        if (max > maxValue)
+            maxValue = max;
+        if (fabs(min) > maxValue)
+            maxValue = fabs(min);
+    
+    }
+};
+
+class Graph {
+public:
+    enum graphLayout {
+        GRAPHS_STACKED,
+        GRAPHS_VERTICAL
+    };
+    struct GraphState {
+        std::string label;
+        graphLayout layout = graphLayout::GRAPHS_STACKED;
+        bool hasHistory = false;
+        ofRectangle positionAndSize;
+        uint32_t historySize;
+    };
+    
+    Graph ( GraphState* state )
+    : state(state)
+    {
+        graphColor = ofColor(24, 219, 92);
+        textColor = ofColor(255, 157, 117);
+    }
+    
+    virtual ~Graph ( void )
+    {
+        
+    }
+    
+    virtual void updateRep ( void ) = 0; // update representation
+    virtual void addData ( std::string subLabel, std::vector<double>& data ) = 0;
+    virtual void reset ( void ) = 0;
+    
+    virtual void update ( void ) = 0;
+    virtual void draw ( void ) = 0;
+
+    virtual uint32_t getNumSubGraphs ( void ) const = 0;
+protected:
+    GraphState *state = nullptr;
+    ofColor graphColor;
+    ofColor textColor;
+};
+
+#endif /* Graph_h */

tools/RapidVisualizerOSC/src/HistoryGraph.hpp

+//
+//  HistoryGraph.hpp
+//  RapidVisualizerOSC
+//
+//  Created by James on 09/11/2017.
+//
+//
+
+#ifndef HistoryGraph_h
+#define HistoryGraph_h
+
+#include "Graph.hpp"
+#include <list>
+
+class HistoryGraph : public Graph
+{
+public:
+    HistoryGraph ( GraphState* state )
+    : Graph(state)
+    {
+        
+    }
+    ~HistoryGraph ( void )
+    {
+    }
+    
+    virtual void updateRep ( void ) = 0; // update representation
+    virtual void drawSubGraph ( std::string subLabel, DataContainer<std::list<double>>& data, ofRectangle subLabelrect ) = 0;
+    virtual void update ( void ) = 0;
+    
+    void addData ( std::string subLabel, std::vector<double>& data )
+    {
+        if (data.size() < state->historySize)
+        {
+            //FIXME: can be sped up by using the result of this search instead of accessing by[] again
+            if ( subLabelData.find(subLabel) == subLabelData.end() ) {
+                // not found
+                DataContainer<std::list<double>> container;
+                container.labelData.resize(state->historySize);
+                std::fill(container.labelData.begin(), container.labelData.end(), 0.0);
+                subLabelData[subLabel] = container;
+                
+            }
+            DataContainer<std::list<double>>&  dataRef = subLabelData[subLabel];
+            list<double>& referencedList = dataRef.labelData;
+            while (referencedList.size() + data.size() >= state->historySize)
+            {
+                referencedList.pop_front();
+            }
+            for (int32_t i = data.size()-1; i >= 0; --i)
+            {
+                double val = data[i];
+                if (val < dataRef.minValue)
+                    dataRef.minValue = val;
+                if (val > dataRef.maxValue)
+                    dataRef.maxValue = val;
+                if (fabs(val) > dataRef.maxValue)
+                    dataRef.maxValue = fabs(val);
+                referencedList.push_back(val);
+            }
+        }
+    }
+    
+    void reset ( void )
+    {
+        subLabelData.clear();
+    }
+    
+    void draw ( void )
+    {
+        uint32_t numElements = subLabelData.size();
+        uint16_t heightBetweenSubLabels = state->positionAndSize.height/numElements;
+        uint16_t subLabelY = 0;
+        
+        ofSetColor (graphColor);
+        ofDrawLine(state->positionAndSize.x, state->positionAndSize.y,
+                   state->positionAndSize.x + state->positionAndSize.width, state->positionAndSize.y);
+        
+        std::map<std::string, DataContainer<std::list<double>>>::iterator it;
+        for(it = subLabelData.begin(); it != subLabelData.end(); ++it)
+        {
+            std::string subLabel = it->first;
+            DataContainer<std::list<double>>& data = it->second;
+            
+            drawSubGraph (subLabel, data, ofRectangle(state->positionAndSize.x,
+                                                      state->positionAndSize.y + subLabelY,
+                                                      state->positionAndSize.width,
+                                                      heightBetweenSubLabels));
+            // Draw label and background
+            drawTextLabel(subLabel, ofVec2f(state->positionAndSize.x + state->positionAndSize.width,
+                                            state->positionAndSize.y + subLabelY),
+                          ofColor(100, 100, 100), ofColor(textColor), TextAlignment::RIGHT, false);
+            
+            
+            // Draw max value
+            drawTextLabel(ofToString(data.maxValue),
+                          ofVec2f(state->positionAndSize.x + state->positionAndSize.width/2,
+                                  state->positionAndSize.y + subLabelY),
+                          ofColor(50, 50, 50), ofColor(255, 255, 255), TextAlignment::CENTER, false);
+            
+            // Increment Y position
+            subLabelY += heightBetweenSubLabels;
+            
+            // Draw min value
+            // Show actual min value?
+            drawTextLabel(ofToString((data.minValue < 0) ? -data.maxValue : 0),
+                          ofVec2f(state->positionAndSize.x + state->positionAndSize.width/2,
+                                  state->positionAndSize.y + subLabelY),
+                          ofColor(50, 50, 50), ofColor(255, 255, 255), TextAlignment::CENTER, true);
+            
+            // Draw Line at bottom of graph
+            ofSetLineWidth(2.0);
+            ofSetColor (180,180,180);
+            ofDrawLine(state->positionAndSize.x, state->positionAndSize.y + subLabelY,
+                       state->positionAndSize.x + state->positionAndSize.width, state->positionAndSize.y + subLabelY);
+        }
+    }
+    uint32_t getNumSubGraphs ( void ) const
+    {
+        return subLabelData.size();
+    }
+protected:
+    std::map <std::string, DataContainer<std::list<double>>> subLabelData;
+};
+#endif /* HistoryGraph_h */

tools/RapidVisualizerOSC/src/LineGraph.hpp

+//
+//  LineGraph.hpp
+//  RapidVisualizerOSC
+//
+//  Created by James on 09/11/2017.
+//
+//
+
+#ifndef LineGraph_h
+#define LineGraph_h
+
+#include <stdio.h>
+#include "RealTimeGraph.hpp"
+
+class LineGraph : public RealTimeGraph
+{
+public:
+    LineGraph ( GraphState* state ) : RealTimeGraph (state)
+    {
+        //
+    }
+    ~LineGraph ( void )
+    {
+        //
+    }
+    void updateRep ( void )
+    {
+        //
+    }
+    void drawSubGraph ( std::string subLabel, DataContainer<std::vector<double>>& data, ofRectangle subLabelRect )
+    {
+        double
+        minIn = 0,
+        minOut = 0,
+        maxOut = -subLabelRect.height,
+        startPosY = subLabelRect.height,
+        pointDistance = subLabelRect.width/data.labelData.size(),
+        separation = pointDistance/2;
+        //halfSeparation = separation/2;
+        bool drawZeroSep = false;
+        
+        if (data.minValue < 0)
+        { // Add negative part
+            startPosY = subLabelRect.height/2;
+            minIn = -data.maxValue;
+            minOut = subLabelRect.height/2;
+            maxOut /= 2;
+            drawZeroSep = true;
+        }
+        
+        ofBeginShape();
+        ofFill();
+        ofVertex(subLabelRect.x, subLabelRect.y + startPosY);
+        double output = mapVals(data.labelData[0], minIn, data.maxValue, minOut, maxOut );
+        ofVertex(subLabelRect.x, subLabelRect.y + startPosY + output);
+        for (uint32_t i = 0; i < data.labelData.size(); ++i)
+        {
+            output = mapVals(data.labelData[i], minIn, data.maxValue, minOut, maxOut );
+            ofSetColor (graphColor);
+            
+            ofVertex(subLabelRect.x + pointDistance * i + separation, subLabelRect.y + startPosY + output);
+            //ofDrawRectangle(subLabelRect.x + barSize * i + halfSeparation, subLabelRect.y + startPosY, barSize - separation, output );
+            
+        }
+        output = mapVals(data.labelData[data.labelData.size()-1], minIn, data.maxValue, minOut, maxOut );
+        ofVertex(subLabelRect.x + subLabelRect.width, subLabelRect.y + startPosY + output);
+        ofVertex(subLabelRect.x + subLabelRect.width, subLabelRect.y + startPosY);
+        ofEndShape();
+        
+        if (drawZeroSep)
+        {
+            ofSetLineWidth(1.25);
+            ofSetColor (175,150,150);
+            ofDrawLine(subLabelRect.x, subLabelRect.y + startPosY,
+                       subLabelRect.x + subLabelRect.width, subLabelRect.y + startPosY);
+        }
+    }
+    void update ( void )
+    {
+        //
+    }
+};
+
+
+#endif /* LineGraph_h */