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src/signalProcessing/rapidPiPoTools/rapidPiPoHost.h
View file @ a0bfd689
......@@ -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
View file @ a0bfd689
......@@ -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/signalProcessing.h
View file @ a0bfd689
/*
* 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 0 → 100644
View file @ a0bfd689
{
"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 0 → 100644
View file @ a0bfd689
#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
View file @ a0bfd689
......@@ -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")
{
......@@ -65,16 +69,9 @@ SCENARIO("Test kNN classification", "[machineLearning]")
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")
{
......@@ -119,37 +116,37 @@ SCENARIO("Test DTW classification", "[machineLearning]")
myData.startRecording("setOne");
std::vector<double> input = { 0.1, 0.5 };
std::vector<double> output = {};
REQUIRE(myData.addElement(input, output) == 2); //TODO: Shouldn't this be 1?
REQUIRE(myData.addElement(input, output) == 1);
input = { 0.2, 0.4 };
REQUIRE(myData.addElement(input, output) == 3);
REQUIRE(myData.addElement(input, output) == 2);
input = { 0.3, 0.3 };
REQUIRE(myData.addElement(input, output) == 4);
REQUIRE(myData.addElement(input, output) == 3);
input = { 0.4, 0.2 };
REQUIRE(myData.addElement(input, output) == 5);
REQUIRE(myData.addElement(input, output) == 4);
input = { 0.5, 0.1 };
REQUIRE(myData.addElement(input, output) == 6);
REQUIRE(myData.addElement(input, output) == 5);
myData.stopRecording();
myData.startRecording("setTwo");
//alternate API
auto setTwo = myData.createNewPhrase("setTwo");
input = { 1., 4. };
myData.addElement(input, output);
setTwo->addElement(input, output);
input = { 2., -3. };
myData.addElement(input, output);
setTwo->addElement(input, output);
input = { 1., 5. };
myData.addElement(input, output);
setTwo->addElement(input, output);
input = { -2., 1. };
myData.addElement(input, output);
myData.stopRecording();
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) == 1);
REQUIRE(myDTW.run(inputSet1) == "setTwo");
std::vector<std::vector<double> > inputSet0;
inputSet0.push_back( { 0.1, 0.5 });
......@@ -158,7 +155,7 @@ SCENARIO("Test DTW classification", "[machineLearning]")
inputSet0.push_back( { 0.4, 0.2 });
inputSet0.push_back( { 0.5, 0.1 });
REQUIRE(myDTW.run(inputSet0) == 0);
REQUIRE(myDTW.run(inputSet0) == "setOne");
}
}
......@@ -169,7 +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);
......@@ -179,14 +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
View file @ a0bfd689
......@@ -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 "trainingData.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]" ) {
......@@ -35,7 +33,7 @@ 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)
......@@ -66,12 +64,12 @@ TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
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);
......@@ -129,7 +127,7 @@ SCENARIO("Test GVF Regression", "[machineLearning]")
myData.stopRecording();
// Train
gvf.train(myData);
REQUIRE(gvf.train(myData) == true);
// Set first gesture (or a fragment of it)
std::vector<double> outcomes;
......@@ -138,34 +136,35 @@ SCENARIO("Test GVF Regression", "[machineLearning]")
{
THEN("follows the the gesture (first) and confirm it is the likeliestGesture and likelihoods reasonable")
{
outcomes = gvf.process(inputs = { 3.0, 0.8 });
outcomes = gvf.process({ 2.0, 0.9 });
outcomes = gvf.process({ 1.0, 1.0 });
outcomes = gvf.process({ 0.4, 1.2 });
outcomes = gvf.process({ 0.2, 1.4 });
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(outcomes[1] > 0.5); // outcomes[1] - likelihood gesture '0' must be greater than 50%
REQUIRE(outcomes[2] < 0.5); // outcomes[2] - likelihood gesture '1' must be lesser than 50%
// REQUIRE(outcomes[3] < 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%
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%
}
}
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 ")
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 ")
{
}
}
}
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 ")
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 ")
{
}
}
}
}
......
tests/src/test_rapidPiPo.cpp
View file @ a0bfd689
......@@ -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_rapidXMM.cpp
View file @ a0bfd689
//
// 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_trainingData.cpp 0 → 100644
View file @ a0bfd689
#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
View file @ a0bfd689
......@@ -31,16 +31,59 @@
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......@@ -244,98 +413,9 @@
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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 */,
......@@ -1235,6 +1430,7 @@
0BFFEF2B1E56083D00EF19A5 /* Debug */ = {
isa = XCBuildConfiguration;
buildSettings = {
GCC_C_LANGUAGE_STANDARD = c11;
MACOSX_DEPLOYMENT_TARGET = 10.11;
PRODUCT_NAME = "$(TARGET_NAME)";
};
......@@ -1243,6 +1439,7 @@
0BFFEF2C1E56083D00EF19A5 /* Release */ = {
isa = XCBuildConfiguration;
buildSettings = {
GCC_C_LANGUAGE_STANDARD = c11;
MACOSX_DEPLOYMENT_TARGET = 10.11;
PRODUCT_NAME = "$(TARGET_NAME)";
};
......@@ -1280,10 +1477,25 @@
};
name = Release;
};
312C61D11FE95A680085E283 /* Debug */ = {
isa = XCBuildConfiguration;
buildSettings = {
MACOSX_DEPLOYMENT_TARGET = 10.11;
PRODUCT_NAME = "$(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 = "$(TARGET_NAME)";
};
......@@ -1292,7 +1504,6 @@
31D7B72B1E6B048100917757 /* Release */ = {
isa = XCBuildConfiguration;
buildSettings = {
LIBRARY_SEARCH_PATHS = "$(PROJECT_DIR)/../dependencies/pipo/bin/**";
MACOSX_DEPLOYMENT_TARGET = 10.11;
PRODUCT_NAME = "$(TARGET_NAME)";
};
......@@ -1303,18 +1514,24 @@
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;
......@@ -1348,18 +1565,24 @@
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;
......@@ -1420,6 +1643,15 @@
defaultConfigurationIsVisible = 0;
defaultConfigurationName = Release;
};
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 = (
......
tools/RapidVisualizerOSC/bin/RapidVisualizerOSC.app.zip 0 → 100644
View file @ a0bfd689
File added
tools/RapidVisualizerOSC/src/BarChart.cpp 0 → 100644
View file @ a0bfd689
//
// 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 0 → 100644
View file @ a0bfd689
//
// 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 0 → 100644
View file @ a0bfd689
//
// 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 0 → 100644
View file @ a0bfd689
//
// 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 0 → 100644
View file @ a0bfd689
//
// 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 */
tools/RapidVisualizerOSC/src/LineGraphHistory.hpp 0 → 100644
View file @ a0bfd689
//
// LineGraphHistory.hpp
// RapidVisualizerOSC
//
// Created by James on 10/11/2017.
//
//
#ifndef LineGraphHistory_h
#define LineGraphHistory_h
#include <stdio.h>
#include "HistoryGraph.hpp"
class LineGraphHistory : public HistoryGraph
{
public:
LineGraphHistory ( GraphState* state ) : HistoryGraph (state)
{
//
}
~LineGraphHistory ( void )
{
//
}
void updateRep ( void )
{
//
}
void drawSubGraph ( std::string subLabel, DataContainer<std::list<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.front(), minIn, data.maxValue, minOut, maxOut );
ofVertex(subLabelRect.x, subLabelRect.y + startPosY + output);
uint32_t i = 0;
for (double d : data.labelData)
{
output = mapVals(d, 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 );
++i;
}
output = mapVals(data.labelData.back(), 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 /* LineGraphHistory_h */
tools/RapidVisualizerOSC/src/RapidVisualization.cpp 0 → 100644
View file @ a0bfd689
//
// RapidVisualization.cpp
// RapidVisualizerOSC
//
// Created by James on 13/11/2017.
//
//
#include <stdio.h>
#include "RapidVisualization.hpp"
RapidVisualization::RapidVisualization ( void )
{
}
RapidVisualization::~RapidVisualization ( void )
{
std::map<std::string, RapidVisualizer*>::iterator it;
for(it = visualizers.begin(); it != visualizers.end(); ++it)
{
if (it->second)
delete it->second;
}
}
void RapidVisualization::setup ( ofRectangle posAndSize, uint32_t defaultHistorySize )
{
this->posAndSize = posAndSize;
this->defaultHistorySize = defaultHistorySize;
}
std::pair<std::string, std::string> RapidVisualization::getRoute(std::string& address)
{
std::pair<std::string, std::string> ret;
size_t delimPos = address.substr(1).find("/");
if (delimPos != std::string::npos)
{
delimPos += 1;
ret.first = address.substr(0, delimPos);
ret.second = address.substr(delimPos);
}
else
{
ret.first = address.substr(0, address.length());
ret.second = "/";
}
return ret;
}
void RapidVisualization::addData ( std::string& address, std::vector<double>& data )
{
std::pair<std::string, std::string> route = getRoute(address);
if ( visualizers.find(route.first) == visualizers.end() ) {
RapidVisualizer* ptr = visualizers[route.first] = new RapidVisualizer(); // Add new graph
ptr->setup(route.first, RapidVisualizer::LINE_GRAPH_WITH_HISTORY, defaultHistorySize, Graph::GRAPHS_STACKED, false, ofRectangle(0,0,100,100));
updateRep();
}
RapidVisualizer* rapidVizPtr = visualizers[route.first];
rapidVizPtr->addData(address, data);
}
void RapidVisualization::addData ( std::string& graphName, std::string& subGraphName, std::vector<double>& data )
{
if ( visualizers.find(graphName) == visualizers.end() ) {
RapidVisualizer* ptr = visualizers[graphName] = new RapidVisualizer(); // Add new graph
ptr->setup(graphName, RapidVisualizer::LINE_GRAPH_WITH_HISTORY, defaultHistorySize, Graph::GRAPHS_STACKED, false, ofRectangle(0,0,100,100));
updateRep();
}
RapidVisualizer* rapidVizPtr = visualizers[graphName];
rapidVizPtr->addData(subGraphName, data);
}
void RapidVisualization::reset ( void )
{
std::map<std::string, RapidVisualizer*>::iterator it;
for(it = visualizers.begin(); it != visualizers.end(); ++it)
{
if (it->second)
delete it->second;
}
visualizers.clear();
}
void RapidVisualization::update ( void )
{
uint32_t tempNumGraphs = 0;
bool resetCase = false; // This is terrible (stops jitter when selecting new graph type)
std::map<std::string, RapidVisualizer*>::iterator it;
for(it = visualizers.begin(); it != visualizers.end(); ++it)
{
it->second->update();
uint32_t tGraph = it->second->getNumGraphs();
if (tGraph == 0)
{
resetCase = true;
break;
}
tempNumGraphs += tGraph;
}
if (tempNumGraphs != numGraphs && !resetCase)
{
numGraphs = tempNumGraphs;
updateRep();
}
}
void RapidVisualization::draw ( void )
{
std::map<std::string, RapidVisualizer*>::iterator it;
for(it = visualizers.begin(); it != visualizers.end(); ++it)
{
it->second->draw();
}
if (!guiHidden)
for(it = visualizers.begin(); it != visualizers.end(); ++it)
{
it->second->drawMenu(posAndSize); // Stop menu being behind next graph
}
if (numGraphs == 0)
{
drawTextLabel("Waiting for OSC messages on port 8338", ofVec2f(posAndSize.x+posAndSize.width/2, posAndSize.y), ofColor(24, 219, 92), ofColor(255, 157, 117), TextAlignment::CENTER, false );
}
}
void RapidVisualization::setPos ( ofVec2f pos )
{
posAndSize.x = pos.x;
posAndSize.y = pos.y;
updateRep();
}
void RapidVisualization::setSize ( ofVec2f size )
{
posAndSize.width = size.x;
posAndSize.height = size.y;
updateRep();
}
void RapidVisualization::setPosAndSize ( ofRectangle posAndSize )
{
this->posAndSize = posAndSize;
updateRep();
}
void RapidVisualization::updateRep ( void )
{
double graphHeight = posAndSize.height/numGraphs; // Height of single graph
std::map<std::string, RapidVisualizer*>::iterator it;
double drawHeight = posAndSize.y;
double height;
for(it = visualizers.begin(); it != visualizers.end(); ++it)
{
height = it->second->getNumGraphs()*graphHeight;
it->second->setRect(ofRectangle(posAndSize.x,
drawHeight,
posAndSize.width,
height));
drawHeight += height;
}
}
void RapidVisualization::setGuiHidden ( bool guiHidden )
{
this->guiHidden = guiHidden;
}
tools/RapidVisualizerOSC/src/RapidVisualization.hpp 0 → 100644
View file @ a0bfd689
//
// RapidVisualization.hpp
// RapidVisualizerOSC
//
// Created by James on 10/11/2017.
//
//
#ifndef RapidVisualization_h
#define RapidVisualization_h
#include "RapidVisualizer.hpp"
class RapidVisualization
{
public:
RapidVisualization ( void );
~RapidVisualization ( void );
void setup ( ofRectangle posAndSize, uint32_t defaultHistorySize=256 );
// Append multiple types of graphs to cycle through as new entry addresses are added
// Implement?
//RapidVisualizer* addGraphType ( RapidVisualizer::graphTypeRealtime graphType );
//RapidVisualizer* addGraphType ( RapidVisualizer::graphTypeWithHistory graphType, uint32_t historySize );
void addData ( std::string& address, std::vector<double>& data );
void addData ( std::string& graphName, std::string& subGraphName, std::vector<double>& data );
void reset ( void );
void update ( void );
void draw ( void );
void setPos ( ofVec2f pos );
void setSize ( ofVec2f size );
void setPosAndSize ( ofRectangle posAndSize );
void setGuiHidden ( bool guiHidden );
private:
bool guiHidden = false;
uint32_t numGraphs = 0;
std::map<std::string, RapidVisualizer*> visualizers;
ofRectangle posAndSize;
uint32_t defaultHistorySize;
std::pair<std::string, std::string> getRoute ( std::string& address );
void updateRep ( void );
};
#endif /* RapidVisualization_h */