void SensorSpecHamamatsu::takeMeasurementAveraging() {
boolean isAvgReady = takeAverageMeasurement();
if (isAvgReady) {
if (averageQueue == QUEUE_BASELINE) {
// Store measurement in baseline (higher priority but infrequent condition)
for (int i=0; i<SPEC_CHANNELS; i++) {
baseline[i] = average[i];
}
baselineOverexposed = postProcessing(&baseline[0]);
hasBaseline = true;
averageQueue = QUEUE_EMPTY;
} else {
// Store measurement in experimental data (normal condition)
for (int i=0; i<SPEC_CHANNELS; i++) {
data[i] = average[i];
}
dataOverexposed = postProcessing(&data[0]);
// Find peak channel value
uint16_t maxValue = 0;
for (int i=0; i<SPEC_CHANNELS; i++) {
if (data[i] > maxValue) {
peakChannel = i;
maxValue = data[i];
}
}
averageQueue = QUEUE_EMPTY;
}
}
}
void NumberParser::run() {
prepare();
States state = States::Init;
Position before;
while ( true ) {
before = _input.position();
char c{};
if ( _input.eof() )
state = States::Quit;
else
c = _input.readChar();
switch ( state ) {
case States::Init:
state = stateInit( c );
break;
case States::Minus:
state = stateMinus( c );
break;
case States::Zero:
state = stateZero( c );
break;
case States::Digits:
state = stateDigits( c );
break;
case States::Point:
state = statePoint( c );
break;
case States::DecimalDigits:
state = stateDecimalDigits( c );
break;
case States::E:
state = stateE( c );
break;
case States::EPlusMinus:
state = stateEplusMinus( c );
break;
case States::EDigits:
state = stateEDigits( c );
break;
default:
break;
}
if ( state == States::Quit )
break;
}
_input.position( before );// return back the last character
if ( _isE )
postProcessing();
if ( _isMinus ) {
if ( isReal() )
_real *= -1;
if ( isInteger() )
_integer *= -1;
}
}
bool AubioOnsetDetector :: processframe(float* frame, const int& n){
bool newFrameResult = false;
//Paul Brossier's aubioonsetclass~ code ported from Pd
int j,isonset;
for (j=0;j<n;j++) {
// write input to datanew
fvec_write_sample(vec, frame[j], 0, pos);//vec->data[0][pos] = frame[j]
//time for fft
if (pos == hopsize-1) { //hopsize is 512
newFrameResult = true;
aubioOnsetFound = false;
// block loop
aubio_pvoc_do (pv,vec, fftgrain);
fftgrain->norm[0][0] = fabs(fftgrain->norm[0][0]);
//added hack to solve bug that norm[0][0] is negative sometimes.
aubio_onsetdetection(o, fftgrain, onset);
rawDetectionValue = onset->data[0][0];
//Paul Brossier's method to return value of peak picking process
postProcessing();
// smpl_t my_sample_value;
//peakPickedDetectionValue = aubio_peakpick_pimrt_getval(parms);
//peakPickedDetectionValue = my_sample_value;
//Paul Brossier's onset detection method
isonset = aubio_peakpick_pimrt(onset,parms);
if (isonset) {
// test for silence
if (aubio_silence_detection(vec, threshold2)==1){
isonset=0;
}
else{
// outlet_bang(x->bangoutlet);
aubioOnsetFound = true;
}
}//end if (isonset)
// end of block loop
pos = -1; // so it will be zero next j loop
}
pos++;
}//end for j
//end of Paul's code
return newFrameResult;
}
/**
* 新产生的谓词 s、t为内涵谓词，succ、max为外延谓词
* @param _originalFml
* @return
*/
Formulas HengZhang::transform(const Formula& _originalFml) {
Formula fml = preProcessing(_originalFml);
Formulas fmls;
fmls.pushBack(createFormula_1());
fmls.pushBack(createFormula_2(fml));
fmls.pushBack(createFormula_3(fml));
fmls.pushBack(createFormula_4_1(fml));
fmls.pushBack(createFormula_4_2(fml));
fmls.pushBack(createFormula_5_1(fml));
fmls.pushBack(createFormula_5_2(fml));
postProcessing();
return fmls;
}
// Data methods
void SensorSpecHamamatsu::takeMeasurement() {
Serial.println ("Starting measurement...");
readSpectrometer(&data[0], false);
Serial.println ("Measurement complete...");
dataOverexposed = postProcessing(&data[0]);
// Find peak channel value
uint16_t maxValue = 0;
for (int i=0; i<SPEC_CHANNELS; i++) {
if (data[i] > maxValue) {
peakChannel = i;
maxValue = data[i];
}
}
}
void SMTController::run()
{
assert(m_uiNumber);
assert(m_szFile);
fillFileList();
m_pUPThread->start();
if (!makeThreads())
return;
for (size_t x=0; x<m_vWorkerList.size(); x++)
m_vWorkerList[x]->workThread->start();
while (true)
{
doPause();
if (isStopped())
break;
//wait here as we have nothing else to do
m_WaitCond.wait(2);
if (m_iRunningWorkers==0)
break;
}
m_pUPThread->stop();
for (size_t x=0; x<m_vWorkerList.size(); x++)
m_vWorkerList[x]->workThread->stop();
if (!isStopped())
postProcessing();
safe_delete(m_vWorkerList);
}
void TGen::Engine::DeferredRenderer::renderWorld(TGen::Engine::World & world, TGen::Camera * camera, scalar dt) {
/*if (!world) {
renderWorldless(dt);
return;
}
*/
mainCamera = camera; //world.getCamera("maincam"); // TODO: mainCamera?!
// TODO: early-z, z-pass first. ska kunna aktiveras/avaktiveras genom variabel
// packa ihop alla ljus som använder samma material (och som har samma timer)
// rendrera deras fillquads i något i en metod högre än render och byt ut lampor mellan. men hur får man den nivån?
// sen finns det kameror som rendrerar till texturer, men de hanteras åt andra sättet, dvs
// ett material kopplas till en kamera
// dvs textursources måste bli mer avancerade i materialsystemet, ska ju kunna ha envmap som uppdateras i realtid
// sen borde man kunna definiera de kameror som binds till ett material också, hur ofta de ska uppdateras, osv
// vad hanterar map och fiender osv? map? currentMap->fillRenderList(thisList);
// World!!!... ska det var ändå var är camera? kom ihåg att camera borde hanteras av en playermovement-klass och att kameror ska kunna vara portabla
// lampor i portalbana fixas genom att ta lampor från alla synliga rum + anslutande rum (även de som inte syns alltså)
// kan sen optimeras genom att kolla lightboxen
world.prepareLists(mainCamera);
TGen::RenderList & renderList = world.getRenderList();
TGen::Engine::LightList & lightList = world.getLightList();
renderList.sort(*mainCamera, "default");
//std::cout << "renderlist: " << renderList.getNumFaces() << std::endl;
TGen::Engine::MetaCreator mc;
metaLines.beginBatch();
mc.writeAxes(TGen::Matrix4x4::Identity, metaLines);
//renderList.writeMeta(TGen::MetaNormals, TGen::Matrix4x4::Identity, metaLines);
//renderList.writeMeta(TGen::MetaPortals, TGen::Matrix4x4::Identity, metaLines);
metaLines.endBatch();
TGen::Rectangle viewport = renderer.getViewport();
// UPDATE MAPS (color, normal, spec, depth, etc)
renderer.setViewport(mrtSize);
renderer.setClearColor(TGen::Color::Black);
renderTarget->reset();
renderTarget->setColorUnit(0, colorMap);
renderTarget->setColorUnit(1, normalMap);
renderTarget->setColorUnit(2, miscMap);
renderTarget->setDepthUnit(0, depthMap);
renderer.setRenderTarget(renderTarget);
renderer.clearBuffers(TGen::ColorBuffer | TGen::DepthBuffer);
renderer.setAmbientLight(world.getAmbientLight());
renderer.setTransform(TGen::TransformProjection, mainCamera->getProjection());
renderList.render(renderer, mainCamera->getTransform(), mainCamera->getLod(), "default");
renderer.setTransform(TGen::TransformWorldView, mainCamera->getTransform());
metaNormalMaterial->render(renderer, metaLines, TGen::MaterialRenderMetadata("default", 9, NULL, 0, NULL));
// TODO: var ska det här vara egentligen....
//vars.postProcessing = false;
// postprocessing kostar 110 fps
/*if (vars.postProcessing) {
renderer.setRenderTarget(postTargets1);
renderer.setViewport(mrtSize);
}
else {
renderer.setRenderTarget(NULL);
renderer.setViewport(viewport);
}*/
//app.renderer.clearBuffers(TGen::DepthBuffer);
// AMBIENT TO RESULT
//renderFillQuad(lightAmbientMaterial);
// LIGHTS TO RESULT
TGen::Engine::LightList::LightMap & lightsByMaterial = lightList.getLightsByMaterial();
for (TGen::Engine::LightList::LightMap::iterator iter = lightsByMaterial.begin(); iter != lightsByMaterial.end(); ++iter) {
//std::cout << "MATERIAL " << iter->first << std::endl;
// TODO: OM EN LAMPA HAR FACES SÅ RENDRERA DEM ist för fillquad!!!! det är bounding boxes
// om man är innanför en bbox för ett ljus rita backfaces, annars bara frontfaces
// för mindre ljus kan man köra bbox. kolla mot bounding-sphere eller aabb.
TGen::Texture * textures[] = {NULL, colorMap, normalMap, miscMap, depthMap};
renderer.setTransform(TGen::TransformProjection, mainCamera->getProjection()); // borde inte vara nödvändigt...
TGen::Engine::LightList::LightArray * lights = iter->second;
if (lights) {
lightBatchSize = 1;
for (int i = 0; i < lights->size(); i += lightBatchSize) {
int a = 0;
for (; a < lightBatchSize && i + a < lights->size(); ++a) {
renderer.setTransform(TGen::TransformWorldView, mainCamera->getTransform() * (*lights)[a + i]->getTransform());
if ((*lights)[a + i]->getType() == TGen::Engine::LightDirectional)
(*lights)[a + i]->getLightProperties().position = TGen::Vector4((*lights)[a + i]->getTransform().getZ().normalize(), 0.0f);
else
(*lights)[a + i]->getLightProperties().position = TGen::Vector4(0.0f, 0.0f, 0.0f, 1.0f); //(*lights)[a]->getWorldPosition();
renderer.setLight(a, (*lights)[a + i]->getLightProperties());
if ((*lights)[a + i]->getType() == TGen::Engine::LightDirectional)
renderFillQuad(iter->first, TGen::lexical_cast<std::string>(a + 1 + i) + "lights"); // TODO: optimize
else {
// glIsTexture(1);
(*lights)[a + i]->getMaterial()->render(renderer, TGen::SceneNodeRenderable(*(*lights)[a + i]), TGen::MaterialRenderMetadata(TGen::lexical_cast<std::string>(a + 1 + i) + "lights", 9, textures, 0, this));
}
//lightPositionalMaterial->render(renderer, TGen::SceneNodeRenderable(*(*lights)[a]), TGen::lexical_cast<std::string>(a + 1) + "lights", 9, NULL, NULL);
}
//lightPositionalMaterial->render(renderer, *model, TGen::lexical_cast<std::string>(a) + "lights", 9, NULL, NULL);
}
}
}
// TODO: bbox för lights... dvs genCube
//}
//lightType = 1;
/*TGen::VertexBuffer * vb = app.renderer.createVertexBuffer(LightVertexDecl(), sizeof(LightVertexDecl::Type) * 24 * 8, TGen::UsageStream);
for (int i = 0; i < lights[lightType].size(); i += lightBatchSize) {
std::vector<LightVertexDecl::Type> vertices;
vertices.reserve(24 * 8);
int a = 0;
for (; a < lightBatchSize && i + a < lights[lightType].size(); ++a) {
TGen::Vector3 min = lights[lightType][i + a]->boundingBox.getMin();
TGen::Vector3 max = lights[lightType][i + a]->boundingBox.getMax();
vertices.push_back(TGen::Vector3(min.x, min.y, max.z));
vertices.push_back(TGen::Vector3(max.x, min.y, max.z));
vertices.push_back(TGen::Vector3(max.x, max.y, max.z));
vertices.push_back(TGen::Vector3(min.x, max.y, max.z));
vertices.push_back(TGen::Vector3(max.x, min.y, min.z));
vertices.push_back(TGen::Vector3(min.x, min.y, min.z));
vertices.push_back(TGen::Vector3(min.x, max.y, min.z));
vertices.push_back(TGen::Vector3(max.x, max.y, min.z));
vertices.push_back(TGen::Vector3(max.x, min.y, max.z));
vertices.push_back(TGen::Vector3(max.x, min.y, min.z));
vertices.push_back(TGen::Vector3(max.x, max.y, min.z));
vertices.push_back(TGen::Vector3(max.x, max.y, max.z));
vertices.push_back(TGen::Vector3(min.x, min.y, min.z));
vertices.push_back(TGen::Vector3(min.x, min.y, max.z));
vertices.push_back(TGen::Vector3(min.x, max.y, max.z));
vertices.push_back(TGen::Vector3(min.x, max.y, min.z));
vertices.push_back(TGen::Vector3(min.x, min.y, min.z));
vertices.push_back(TGen::Vector3(max.x, min.y, min.z));
vertices.push_back(TGen::Vector3(max.x, min.y, max.z));
vertices.push_back(TGen::Vector3(min.x, min.y, max.z));
app.renderer.setLight(a, lights[lightType][i + a]->light);
}
vb->bufferData(&vertices[0], sizeof(LightVertexDecl::Type) * vertices.size(), 0);
//renderFillQuad(lightDirectionalMaterial, TGen::lexical_cast<std::string>(a) + "lights");
TGen::Texture * textures[] = {NULL, colorMap, normalMap, miscMap, depthMap};
// app.renderer.setRenderTarget(depthTarget);
lightPositionalMaterial->render(app.renderer, TGen::Engine::VBRenderable(vb, TGen::PrimitiveQuads, vertices.size()), "1lights", 9, textures, this);
}
delete vb;*/
// TODO: fixa det här med specialization
// cacha varje materials specs, cachedSpecializations[getMaterial("directional")][2] pekar på "2light"
// entryn byggs upp när materialet först introduceras
//renderFillQuad(lightMaterials[lightType * lightBatchSize + a ]);
// TODO: om man stöter på "pass" i materialblocket (innan lod) så skapas lod 9
// TODO: specializations/lod ska kunna ha en flagga som säger om den nivån verkligen ska länkas vid link
// om den är satt så länkas den inte. Eller nej, borde finnas en lista som kollas mot när man parsar material
// om en lod finns med i den listan så laddas den inte in
// sen kan man ha en annan flagga som berättar om den lod:en verkligen använts någon gång
// hur arbetar man med detta: gå runt i en värld och titta runt på alla möjliga sätt, som när man spelar
// sen sparar man alla lods flaggor till en fil, de som är false. detta används sen när man laddar in alla material
// vissa material ska inte kunna dödas såhär, t ex lampor. men då sätter man en param: noPreCull (i paramblocket)
// TODO: #loop 0 to r_lightBatchSize (read only)
if (vars.postProcessing) {
postProcessing(viewport);
}
}
int main(void)
{
UT_array * dictionary;
UT_array * specialChar;
UT_array * WholeString = NULL;
CharProfile NewCharProfile;
CharProbability NewCharProbability;
/*utarray_new(dictionary, &ut_str_icd);
utarray_new(specialChar, &ut_str_icd);*/
dictionary = postProcessingInitializeDictionary();
specialChar = postProcessingInitializeSpecialChar();
/*initialize string profile*/
UT_icd StringProfile_icd = {sizeof(CharProfile), NULL, NULL, CharProfile_free};
utarray_new(WholeString, &StringProfile_icd);
/*first char spot*/
UT_icd CharProbability_icd = {sizeof(CharProbability), NULL, NULL, NULL};
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'f';
NewCharProbability.Probability = 25;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 't';
NewCharProbability.Probability = 75;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*second char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'o';
NewCharProbability.Probability = 35;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = '0';
NewCharProbability.Probability = 85;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*third char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 't';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'r';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*third char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = '(';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = '=';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*fifth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'm';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'n';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'y';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 't';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*seventh char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = ' ';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'u';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*eigth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'h';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'w';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*ninth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = ')';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = '}';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*tenth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = '\n';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'u';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = '{';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = '[';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'd';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'a';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'u';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'd';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 't';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 'y';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = 'o';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = 't';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
/*sixth char spot*/
utarray_new(NewCharProfile.CharChoices, &CharProbability_icd);
/*first possibility*/
NewCharProbability.Char = '}';
NewCharProbability.Probability = 50;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*second probability*/
NewCharProbability.Char = ']';
NewCharProbability.Probability = 100;
utarray_push_back(NewCharProfile.CharChoices, &NewCharProbability);
/*push to the whole string*/
utarray_push_back(WholeString, &NewCharProfile);
UT_string * advance_string = postProcessingAdvance(WholeString,dictionary,specialChar);
UT_string * normal_string = postProcessing(WholeString);
printf("Result from highest probability catch is:\n%s\nResult from keyword match is:\n%s\n", utstring_body(normal_string), utstring_body(advance_string));
utstring_free(advance_string);
utstring_free(normal_string);
postProcessingCleanUP(dictionary, specialChar);
return 0;
}
void bcg729Decoder(bcg729DecoderChannelContextStruct *decoderChannelContext, uint8_t bitStream[], uint8_t frameErasureFlag, int16_t signal[])
{
int i;
uint16_t parameters[NB_PARAMETERS];
/* internal buffers which we do not need to keep between calls */
word16_t qLSP[NB_LSP_COEFF]; /* store the qLSP coefficients in Q0.15 */
word16_t interpolatedqLSP[NB_LSP_COEFF]; /* store the interpolated qLSP coefficient in Q0.15 */
word16_t LP[2*NB_LSP_COEFF]; /* store the 2 sets of LP coefficients in Q12 */
int16_t intPitchDelay; /* store the Pitch Delay in and out of decodeAdaptativeCodeVector, in for decodeFixedCodeVector */
word16_t fixedCodebookVector[L_SUBFRAME]; /* the fixed Codebook Vector in Q1.13*/
word16_t postFilteredSignal[L_SUBFRAME]; /* store the postfiltered signal in Q0 */
uint8_t parityErrorFlag;
int subframeIndex;
int parametersIndex = 4; /* this is used to select the right parameter according to the subframe currently computed, start pointing to P1 */
int LPCoefficientsIndex = 0; /* this is used to select the right LP Coefficients according to the subframe currently computed */
/*** parse the bitstream and get all parameter into an array as in spec 4 - Table 8 ***/
/* parameters buffer mapping : */
/* 0 -> L0 (1 bit) */
/* 1 -> L1 (7 bits) */
/* 2 -> L2 (5 bits) */
/* 3 -> L3 (5 bits) */
/* 4 -> P1 (8 bit) */
/* 5 -> P0 (1 bits) */
/* 6 -> C1 (13 bits) */
/* 7 -> S1 (4 bits) */
/* 8 -> GA1(3 bits) */
/* 9 -> GB1(4 bits) */
/* 10 -> P2 (5 bits) */
/* 11 -> C2 (13 bits) */
/* 12 -> S2 (4 bits) */
/* 13 -> GA2(3 bits) */
/* 14 -> GB2(4 bits) */
if (bitStream!=NULL) { /* bitStream might be null in case of frameErased (which shall be set in the appropriated flag)*/
parametersBitStream2Array(bitStream, parameters);
} else { /* avoid compiler complaining for non inizialazed use of variable */
for (i=0; i<NB_PARAMETERS; i++) {
parameters[i]=0;
}
}
/*****************************************************************************************/
/*** on frame basis : decodeLSP, interpolate them with previous ones and convert to LP ***/
decodeLSP(decoderChannelContext, parameters, qLSP, frameErasureFlag); /* decodeLSP need the first 4 parameters: L0-L3 */
interpolateqLSP(decoderChannelContext->previousqLSP, qLSP, interpolatedqLSP);
/* copy the currentqLSP to previousqLSP buffer */
for (i=0; i<NB_LSP_COEFF; i++) {
decoderChannelContext->previousqLSP[i] = qLSP[i];
}
/* call the qLSP2LP function for first subframe */
qLSP2LP(interpolatedqLSP, LP);
/* call the qLSP2LP function for second subframe */
qLSP2LP(qLSP, &(LP[NB_LSP_COEFF]));
/* check the parity on the adaptativeCodebookIndexSubframe1(P1) with the received one (P0)*/
parityErrorFlag = (uint8_t)(computeParity(parameters[4]) ^ parameters[5]);
/* loop over the two subframes */
for (subframeIndex=0; subframeIndex<L_FRAME; subframeIndex+=L_SUBFRAME) {
/* decode the adaptative Code Vector */
decodeAdaptativeCodeVector( decoderChannelContext,
subframeIndex,
parameters[parametersIndex],
parityErrorFlag,
frameErasureFlag,
&intPitchDelay,
&(decoderChannelContext->excitationVector[L_PAST_EXCITATION + subframeIndex]));
if (subframeIndex==0) { /* at first subframe we have P0 between P1 and C1 */
parametersIndex+=2;
} else {
parametersIndex++;
}
/* in case of frame erasure we shall generate pseudoRandom signs and index for fixed code vector decoding according to spec 4.4.4 */
if (frameErasureFlag) {
parameters[parametersIndex] = pseudoRandom(decoderChannelContext)&(uint16_t)0x1fff; /* signs are set to the 13 LSB of the first pseudoRandom number */
parameters[parametersIndex+1] = pseudoRandom(decoderChannelContext)&(uint16_t)0x000f; /* signs are set to the 4 LSB of the second pseudoRandom number */
}
/* decode the fixed Code Vector */
decodeFixedCodeVector(parameters[parametersIndex+1], parameters[parametersIndex], intPitchDelay, decoderChannelContext->boundedAdaptativeCodebookGain, fixedCodebookVector);
parametersIndex+=2;
/* decode gains */
decodeGains(decoderChannelContext, parameters[parametersIndex], parameters[parametersIndex+1], fixedCodebookVector, frameErasureFlag,
&(decoderChannelContext->adaptativeCodebookGain), &(decoderChannelContext->fixedCodebookGain));
parametersIndex+=2;
/* update bounded Adaptative Codebook Gain (in Q14) according to eq47 */
decoderChannelContext->boundedAdaptativeCodebookGain = decoderChannelContext->adaptativeCodebookGain;
if (decoderChannelContext->boundedAdaptativeCodebookGain>BOUNDED_PITCH_GAIN_MAX) {
decoderChannelContext->boundedAdaptativeCodebookGain = BOUNDED_PITCH_GAIN_MAX;
}
if (decoderChannelContext->boundedAdaptativeCodebookGain<BOUNDED_PITCH_GAIN_MIN) {
decoderChannelContext->boundedAdaptativeCodebookGain = BOUNDED_PITCH_GAIN_MIN;
}
/* compute excitation vector according to eq75 */
/* excitationVector = adaptative Codebook Vector * adaptativeCodebookGain + fixed Codebook Vector * fixedCodebookGain */
/* the adaptative Codebook Vector is in the excitationVector buffer [L_PAST_EXCITATION + subframeIndex] */
/* with adaptative Codebook Vector in Q0, adaptativeCodebookGain in Q14, fixed Codebook Vector in Q1.13 and fixedCodebookGain in Q14.1 -> result in Q14 on 32 bits */
/* -> shift right 14 bits and store the value in Q0 in a 16 bits type */
for (i=0; i<L_SUBFRAME; i++) {
decoderChannelContext->excitationVector[L_PAST_EXCITATION + subframeIndex + i] = (word16_t)(SATURATE(PSHR(
ADD32(
MULT16_16(decoderChannelContext->excitationVector[L_PAST_EXCITATION + subframeIndex + i], decoderChannelContext->adaptativeCodebookGain),
MULT16_16(fixedCodebookVector[i], decoderChannelContext->fixedCodebookGain)
), 14), MAXINT16));
}
/* reconstruct speech using LP synthesis filter spec 4.1.6 eq77 */
/* excitationVector in Q0, LP in Q12, recontructedSpeech in Q0 -> +NB_LSP_COEFF on the index of this one because the first NB_LSP_COEFF elements store the previous frame filter output */
LPSynthesisFilter(&(decoderChannelContext->excitationVector[L_PAST_EXCITATION + subframeIndex]), &(LP[LPCoefficientsIndex]), &(decoderChannelContext->reconstructedSpeech[NB_LSP_COEFF+subframeIndex]) );
/* NOTE: ITU code check for overflow after LP Synthesis Filter computation and if it happened, divide excitation buffer by 2 and recompute the LP Synthesis Filter */
/* here, possible overflows are managed directly inside the Filter by saturation at MAXINT16 on each result */
/* postFilter */
postFilter(decoderChannelContext, &(LP[LPCoefficientsIndex]), /* select the LP coefficients for this subframe */
&(decoderChannelContext->reconstructedSpeech[NB_LSP_COEFF+subframeIndex]), intPitchDelay, subframeIndex, postFilteredSignal);
/* postProcessing */
postProcessing(decoderChannelContext, postFilteredSignal);
/* copy postProcessing Output to the signal output buffer */
for (i=0; i<L_SUBFRAME; i++) {
signal[subframeIndex+i] = postFilteredSignal[i];
}
/* increase LPCoefficient Indexes */
LPCoefficientsIndex+=NB_LSP_COEFF;
}
/* Shift Excitation Vector by L_FRAME left */
memmove(decoderChannelContext->excitationVector, &(decoderChannelContext->excitationVector[L_FRAME]), L_PAST_EXCITATION*sizeof(word16_t));
/* Copy the last 10 words of reconstructed Speech to the begining of the array for next frame computation */
memcpy(decoderChannelContext->reconstructedSpeech, &(decoderChannelContext->reconstructedSpeech[L_FRAME]), NB_LSP_COEFF*sizeof(word16_t));
return;
}
void detectFaces(GtkImage *image, StrongClassifier *sc)
{
static DetectedFace faces[20000000];
int nbFaces = 0;
GdkPixbuf *pixbuf = gtk_image_get_pixbuf(image);
GreyImage *grey = GreyImageNewFromImage(image);
IntegralImage *intImage = IntegralImageNew(grey);
int imgW = intImage->width;
int imgH = intImage->height;
int maxX = imgW - WIN_WIDTH;
int maxY = imgH - WIN_HEIGHT;
GreyImage *squaredGrey = GreyImageNew(imgW, imgH);
for(int i = 0, count = imgW*imgH; i < count; ++i)
squaredGrey->pixels[i] = grey->pixels[i]*grey->pixels[i];
IntegralImage *squaredImage = IntegralImageNew(squaredGrey);
for(int x = 0; x < maxX; ++x)
{
for(int y = 0; y < maxY; ++y)
{
double scale = 1;
int maxWidth = imgW - x;
int maxHeight = imgH - y;
int width = WIN_WIDTH;
int height = WIN_HEIGHT;
while(width <= maxWidth && height <= maxHeight)
{
int deviation = IntegralImageGetDeviation(intImage, squaredImage, scale ,x, y, width, height);
if(StrongClassifierCheck(sc, intImage, x, y, scale, deviation))
{
faces[nbFaces].x = x;
faces[nbFaces].y = y;
faces[nbFaces].w = width;
faces[nbFaces].h = height;
++nbFaces;
}
scale *= WIN_RATIO;
width = WIN_WIDTH * scale;
height = WIN_HEIGHT * scale;
}
}
}
DetectedFace *trueFaces = postProcessing(faces, nbFaces, &nbFaces);
for(int i = 0; i < nbFaces; ++i)
addRect(pixbuf, trueFaces[i].x, trueFaces[i].y, trueFaces[i].w, trueFaces[i].h);
}
TEST( SDCFsiTest, reuse )
{
std::vector<int> nbIter;
for ( int nbReuse = 0; nbReuse < 3; nbReuse++ )
{
scalar r0 = 0.2;
scalar a0 = M_PI * r0 * r0;
scalar u0 = 0.1;
scalar p0 = 0;
scalar dt = 0.01;
int N = 20;
scalar L = 1;
scalar T = 1;
scalar dx = L / N;
scalar rho = 1.225;
scalar E = 490;
scalar h = 1.0e-3;
scalar cmk = std::sqrt( E * h / (2 * rho * r0) );
scalar c0 = std::sqrt( cmk * cmk - p0 / (2 * rho) );
scalar kappa = c0 / u0;
bool parallel = false;
int extrapolation = 0;
scalar tol = 1.0e-5;
int maxIter = 50;
scalar initialRelaxation = 1.0e-3;
int maxUsedIterations = 50;
scalar singularityLimit = 1.0e-13;
int reuseInformationStartingFromTimeIndex = 0;
bool scaling = false;
bool updateJacobian = false;
scalar beta = 0.1;
int minIter = 5;
ASSERT_NEAR( kappa, 10, 1.0e-13 );
ASSERT_TRUE( dx > 0 );
std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> fluid( new tubeflow::SDCTubeFlowFluidSolver( a0, u0, p0, dt, cmk, N, L, T, rho ) );
std::shared_ptr<tubeflow::SDCTubeFlowSolidSolver> solid( new tubeflow::SDCTubeFlowSolidSolver( a0, cmk, p0, rho, L, N ) );
shared_ptr<RBFFunctionInterface> rbfFunction;
shared_ptr<RBFInterpolation> rbfInterpolator;
shared_ptr<RBFCoarsening> rbfInterpToCouplingMesh;
shared_ptr<RBFCoarsening> rbfInterpToMesh;
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> fluidSolver( new MultiLevelSolver( fluid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 0, 0 ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> solidSolver( new MultiLevelSolver( solid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 1, 0 ) );
std::shared_ptr< std::list<std::shared_ptr<ConvergenceMeasure> > > convergenceMeasures;
convergenceMeasures = std::shared_ptr<std::list<std::shared_ptr<ConvergenceMeasure> > >( new std::list<std::shared_ptr<ConvergenceMeasure> > );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new RelativeConvergenceMeasure( 0, false, tol ) ) );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new MinIterationConvergenceMeasure( 0, false, minIter ) ) );
shared_ptr<MultiLevelFsiSolver> fsi( new MultiLevelFsiSolver( fluidSolver, solidSolver, convergenceMeasures, parallel, extrapolation ) );
shared_ptr<PostProcessing> postProcessing( new AndersonPostProcessing( fsi, maxIter, initialRelaxation, maxUsedIterations, nbReuse, singularityLimit, reuseInformationStartingFromTimeIndex, scaling, beta, updateJacobian ) );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcFluidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( fluid );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcSolidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( solid );
assert( sdcFluidSolver );
assert( sdcSolidSolver );
std::shared_ptr<fsi::SDCFsiSolver> fsiSolver( new fsi::SDCFsiSolver( sdcFluidSolver, sdcSolidSolver, postProcessing, extrapolation ) );
int nbNodes = 3;
std::shared_ptr<fsi::quadrature::IQuadrature<scalar> > quadrature;
quadrature = std::shared_ptr<fsi::quadrature::IQuadrature<scalar> >( new fsi::quadrature::Uniform<scalar>( nbNodes ) );
std::shared_ptr<sdc::SDC> sdc( new sdc::SDC( fsiSolver, quadrature, 1.0e-10, nbNodes, nbNodes ) );
sdc->run();
nbIter.push_back( fsi->nbIter );
}
int iprev;
int index = 0;
for ( int i : nbIter )
{
std::cout << "nbIter = " << i << std::endl;
if ( index > 0 )
ASSERT_LE( i, iprev );
iprev = i;
index++;
}
}
void SensorSpecHamamatsu::takeBaseline() {
readSpectrometer(&baseline[0], false);
baselineOverexposed = postProcessing(&baseline[0]);
hasBaseline = true;
}
TEST( SDIRKFsiSolidTest, linearized )
{
scalar r0 = 3.0e-3;
scalar h = 3.0e-4;
scalar L = 0.126;
scalar rho_s = 1000;
scalar E0 = 4.0e5;
scalar G = 4.0e5;
scalar nu = 0.5;
scalar a0 = M_PI * r0 * r0;
scalar u0 = 0.26;
scalar p0 = 0;
int N = 5;
scalar T = 1;
scalar rho_f = 1060;
scalar E = 490;
scalar cmk = std::sqrt( E * h / (2 * rho_f * r0) );
bool parallel = false;
int extrapolation = 0;
scalar tol = 1.0e-8;
int maxIter = 50;
scalar initialRelaxation = 1.0e-3;
int maxUsedIterations = 50;
int nbReuse = 0;
scalar singularityLimit = 1.0e-13;
int reuseInformationStartingFromTimeIndex = 0;
bool scaling = false;
scalar beta = 0.01;
bool updateJacobian = false;
int minIter = 5;
int nbComputations = 3;
std::deque<std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> > fluidSolvers;
std::deque<std::shared_ptr<tubeflow::SDCTubeFlowLinearizedSolidSolver> > solidSolvers;
std::deque<int> nbTimeStepsList;
for ( int iComputation = 0; iComputation < nbComputations; iComputation++ )
{
int nbTimeSteps = 120 * std::pow( 2, iComputation );
std::cout << "nbTimeSteps = " << nbTimeSteps << std::endl;
scalar dt = T / nbTimeSteps;
std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> fluid( new tubeflow::SDCTubeFlowFluidSolver( a0, u0, p0, dt, cmk, N, L, T, rho_f ) );
std::shared_ptr<tubeflow::SDCTubeFlowLinearizedSolidSolver> solid( new tubeflow::SDCTubeFlowLinearizedSolidSolver( N, nu, rho_s, h, L, dt, G, E0, r0, T ) );
shared_ptr<RBFFunctionInterface> rbfFunction;
shared_ptr<RBFInterpolation> rbfInterpolator;
shared_ptr<RBFCoarsening> rbfInterpToCouplingMesh;
shared_ptr<RBFCoarsening> rbfInterpToMesh;
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> fluidSolver( new MultiLevelSolver( fluid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 0, 0 ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> solidSolver( new MultiLevelSolver( solid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 1, 0 ) );
std::shared_ptr< std::list<std::shared_ptr<ConvergenceMeasure> > > convergenceMeasures;
convergenceMeasures = std::shared_ptr<std::list<std::shared_ptr<ConvergenceMeasure> > >( new std::list<std::shared_ptr<ConvergenceMeasure> >() );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new RelativeConvergenceMeasure( 0, true, tol ) ) );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new MinIterationConvergenceMeasure( 0, false, minIter ) ) );
shared_ptr<MultiLevelFsiSolver> fsi( new MultiLevelFsiSolver( fluidSolver, solidSolver, convergenceMeasures, parallel, extrapolation ) );
shared_ptr<PostProcessing> postProcessing( new AndersonPostProcessing( fsi, maxIter, initialRelaxation, maxUsedIterations, nbReuse, singularityLimit, reuseInformationStartingFromTimeIndex, scaling, beta, updateJacobian ) );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcFluidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( fluid );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcSolidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( solid );
assert( sdcFluidSolver );
assert( sdcSolidSolver );
std::shared_ptr<fsi::SDCFsiSolver> fsiSolver( new fsi::SDCFsiSolver( sdcFluidSolver, sdcSolidSolver, postProcessing, extrapolation ) );
std::shared_ptr<sdc::AdaptiveTimeStepper> adaptiveTimeStepper( new sdc::AdaptiveTimeStepper( false ) );
std::string method = "ESDIRK53PR";
std::shared_ptr<sdc::ESDIRK> esdirk( new sdc::ESDIRK( fsiSolver, method, adaptiveTimeStepper ) );
esdirk->run();
fluidSolvers.push_back( fluid );
solidSolvers.push_back( solid );
nbTimeStepsList.push_back( nbTimeSteps );
}
std::cout << "solid" << std::endl;
for ( int i = 0; i < 2; i++ )
{
fsi::vector ref;
if ( i == 0 )
ref = solidSolvers.back()->r;
else
ref = solidSolvers.back()->u;
std::deque<scalar> errors;
for ( int iComputation = 0; iComputation < nbComputations - 1; iComputation++ )
{
fsi::vector data;
if ( i == 0 )
data = solidSolvers.at( iComputation )->r;
else
data = solidSolvers.at( iComputation )->u;
scalar error = (ref - data).norm() / ref.norm();
errors.push_back( error );
}
for ( int iComputation = 0; iComputation < nbComputations - 2; iComputation++ )
{
scalar order = ( std::log10( errors.at( iComputation ) ) - std::log10( errors.at( iComputation + 1 ) ) ) / ( std::log10( nbTimeStepsList.at( iComputation + 1 ) ) - std::log10( nbTimeStepsList.at( iComputation ) ) );
std::cout << "order = " << order << std::endl;
if ( i == 0 )
ASSERT_NEAR( order, 3, 0.1 );
}
}
std::cout << "fluid" << std::endl;
for ( int i = 0; i < 3; i++ )
{
fsi::vector ref;
if ( i == 0 )
ref = fluidSolvers.back()->u;
if ( i == 1 )
ref = fluidSolvers.back()->a;
if ( i == 2 )
ref = fluidSolvers.back()->p;
std::deque<scalar> errors;
for ( int iComputation = 0; iComputation < nbComputations - 1; iComputation++ )
{
fsi::vector data;
if ( i == 0 )
data = fluidSolvers.at( iComputation )->u;
if ( i == 1 )
data = fluidSolvers.at( iComputation )->a;
if ( i == 2 )
data = fluidSolvers.at( iComputation )->p;
scalar error = (ref - data).norm() / ref.norm();
errors.push_back( error );
}
for ( int iComputation = 0; iComputation < nbComputations - 2; iComputation++ )
{
scalar order = ( std::log10( errors.at( iComputation ) ) - std::log10( errors.at( iComputation + 1 ) ) ) / ( std::log10( nbTimeStepsList.at( iComputation + 1 ) ) - std::log10( nbTimeStepsList.at( iComputation ) ) );
std::cout << "order = " << order << std::endl;
if ( i == 1 || i == 2 )
ASSERT_NEAR( order, 3, 0.1 );
}
}
}
virtual void SetUp()
{
scalar r0 = 3.0e-3;
scalar h = 3.0e-4;
scalar L = 0.126;
scalar rho_s = 1000;
scalar E0 = 4.0e5;
scalar G = 4.0e5;
scalar nu = 0.5;
scalar a0 = M_PI * r0 * r0;
scalar u0 = 0.26;
scalar p0 = 0;
scalar dt = 1;
int N = 5;
scalar T = 1;
scalar rho_f = 1060;
scalar E = 490;
scalar cmk = std::sqrt( E * h / (2 * rho_f * r0) );
bool parallel = false;
int extrapolation = 0;
scalar tol = 1.0e-3;
int maxIter = 20;
scalar initialRelaxation = 1.0e-3;
int maxUsedIterations = 50;
int nbReuse = 0;
scalar singularityLimit = 1.0e-13;
int reuseInformationStartingFromTimeIndex = 0;
bool scaling = false;
bool updateJacobian = false;
scalar beta = 0.5;
int minIter = 5;
std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> fluid( new tubeflow::SDCTubeFlowFluidSolver( a0, u0, p0, dt, cmk, N, L, T, rho_f ) );
std::shared_ptr<fsi::BaseMultiLevelSolver> solid;
solid = std::shared_ptr<fsi::BaseMultiLevelSolver>( new tubeflow::SDCTubeFlowLinearizedSolidSolver( N, nu, rho_s, h, L, dt, G, E0, r0, T ) );
assert( solid );
shared_ptr<RBFFunctionInterface> rbfFunction;
shared_ptr<RBFInterpolation> rbfInterpolator;
shared_ptr<RBFCoarsening> rbfInterpToCouplingMesh;
shared_ptr<RBFCoarsening> rbfInterpToMesh;
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> fluidSolver( new MultiLevelSolver( fluid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 0, 0 ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> solidSolver( new MultiLevelSolver( solid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 1, 0 ) );
std::shared_ptr< std::list<std::shared_ptr<ConvergenceMeasure> > > convergenceMeasures;
convergenceMeasures = std::shared_ptr<std::list<std::shared_ptr<ConvergenceMeasure> > >( new std::list<std::shared_ptr<ConvergenceMeasure> >() );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new RelativeConvergenceMeasure( 0, true, tol ) ) );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new MinIterationConvergenceMeasure( 0, false, minIter ) ) );
shared_ptr<MultiLevelFsiSolver> fsi( new MultiLevelFsiSolver( fluidSolver, solidSolver, convergenceMeasures, parallel, extrapolation ) );
shared_ptr<PostProcessing> postProcessing( new AndersonPostProcessing( fsi, maxIter, initialRelaxation, maxUsedIterations, nbReuse, singularityLimit, reuseInformationStartingFromTimeIndex, scaling, beta, updateJacobian ) );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcFluidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( fluid );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcSolidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( solid );
assert( sdcFluidSolver );
assert( sdcSolidSolver );
std::shared_ptr<fsi::SDCFsiSolver> fsiSolver( new fsi::SDCFsiSolver( sdcFluidSolver, sdcSolidSolver, postProcessing, extrapolation ) );
std::shared_ptr<sdc::AdaptiveTimeStepper> adaptiveTimeStepper( new sdc::AdaptiveTimeStepper( false ) );
std::string method = "ESDIRK53PR";
esdirk = std::shared_ptr<sdc::ESDIRK> ( new sdc::ESDIRK( fsiSolver, method, adaptiveTimeStepper ) );
}
/*******************************************************************************
* Function: extractFGTargets
* Description: extract FG targets with given conditions and return objects
* Arguments:
inImg - input image
fgImg - output FG mask image
seLength - length of structuring elements (opening)
threshVal - threshold value for converting to binary image
minArea - minimum area of FG targets
maxArea - maximum area of FG targets
minAspRatio - minimum aspect ratio of FG targets
maxAspRatio - maximum aspect ratio of FG targets
* Returns: vector<FGObject>* - all extracted FG targets
* Comments:
* Revision:
*******************************************************************************/
vector<FGObject>*
FGExtraction::extractFGTargets(InputArray inImg, OutputArray fgImg, int seLength, int threshVal,
double minArea, double maxArea,
double minAspRatio, double maxAspRatio)
{
double theta = 0.4;
if(!inImg.obj) return NULL;
_inImg = inImg.getMat();
this->init();
//showImage("inImg", _inImg);
// background subtraction by opening
int err = subtractBGOpenDiagonal(inImg, _bgsImg, threshVal, seLength);
if (err>0) {
vector<FGObject>* fgObjects = new vector<FGObject>;
return fgObjects;
}
//subtractBGMedian(inImg.getMat(), bgSubImg, threshVal, seLength);
//showImage("inImg", _inImg, 0, 1);
//showImage("bgSub", _bgsImg);
// get the contour
vector<vector<Point>> contours = extractContours(_bgsImg);
//cout<<contours.size()<<endl;
// double local thresholding
// histogram backprojection
Mat mask = Mat::zeros(_bgsImg.size(), CV_8U);
vector<int> areas(contours.size());
int cnt = 0;
int argMax = 0;
int max_area = 0;
for(vector<vector<Point> >::const_iterator it = contours.begin(); it != contours.end(); ++it){
Rect uprightBox = boundingRect(*it);
areas[cnt] = uprightBox.height*uprightBox.width;
if (areas[cnt]>max_area) {
max_area = areas[cnt];
argMax = cnt;
}
cnt++;
}
//showImage("inImg", _inImg, 0, 1);
vector<Point> largestContour = contours[argMax]; //***** only use the largest contour
RotatedRect orientedBox = orientedBoundingBox(largestContour);
orientedBox.size.width *= 1.5;
orientedBox.size.height *= 1.5;
ellipse(mask, orientedBox, Scalar(255), -1);
//Rect tempRect = boundingRect(largestContour);
//Mat tempImg = mask(tempRect);
//imshow("tempImg", tempImg);
//imshow("mask", mask);
//waitKey(0);
// double local thresholding
double percentage = 0.8;
doubleThresholdByValue(percentage, mask);
/*finish = clock();
duration = (double)(finish - start) / (double)CLOCKS_PER_SEC;
cout << duration << " sec" << endl;
start = clock();*/
// remove noise by a median filter
medianBlur(_fgHighImg, _fgHighImg, 3);
medianBlur(_fgLowImg, _fgLowImg, 3);
//showImage("_fgHighImg", _fgHighImg);
//showImage("_fgLowImg", _fgLowImg);
/*finish = clock();
duration = (double)(finish - start) / (double)CLOCKS_PER_SEC;
cout << duration << " sec" << endl;
start = clock();*/
// merge two masks using histogram backprojection
//showImage("_fgImg", _fgImg);
//showImage("mask", mask);
updateByHistBackproject(theta, mask);
ellipse(mask, orientedBox, Scalar(0), -1);
ellipse(_fgHighImg, orientedBox, Scalar(0), -1);
ellipse(_fgLowImg, orientedBox, Scalar(0), -1);
//}
// thresholding by area and variance
#ifdef IMAGE_DOWNSAMPLING
int dilateSESize = 3;
int erodeSESize = 3;
int varThresh = 30;
#else
int dilateSESize = 7;
int erodeSESize = 7;
int varThresh = 30;
#endif
//showImage("fg high", _fgHighImg, 0, 1);
//showImage("fg low", _fgLowImg, 0, 1);
//showImage("after histbp", _fgImg, 0);
thresholdByAreaRatioVar(minArea, maxArea, dilateSESize, erodeSESize, minAspRatio, maxAspRatio, varThresh);
//showImage("after area threshold", _fgImg, 0);
// post-processing
postProcessing(_fgImg, _fgImg);
//imshow("_fgImg",_fgImg);
//waitKey(0);
// fill the holes of the fgImg
_fgImg.copyTo(fgImg);
floodFill(fgImg, cv::Point(0,0), Scalar(255));
//imshow("fgImg",fgImg);
//waitKey(0);
bitwise_not(fgImg, fgImg);
bitwise_or(fgImg, _fgImg, _fgImg);
//imshow("inImg", inImg);
//imshow("_fgImg",_fgImg);
//waitKey(0);
// opening
RotatedRect rotatedR = fitEllipse(Mat(largestContour));
float objHeight = min(rotatedR.size.height,rotatedR.size.width);
int seSize = int(objHeight/10.0+0.5);
Mat se = getStructuringElement(MORPH_ELLIPSE, Size(seSize, seSize)); //***** choose different size according to object height
morphologyEx(_fgImg, _fgImg, MORPH_OPEN, se);
//imshow("_fgImg",_fgImg);
//waitKey(0);
// close
morphologyEx(_fgImg, _fgImg, MORPH_CLOSE, se);
// timer
/*clock_t start, finish;
double duration = 0.0;
start = clock();
finish = clock();
duration = (double)(finish - start) / (double)CLOCKS_PER_SEC;
cout << duration << " sec" << endl;*/
thresholdByAreaRatioVar(0.5*minArea, maxArea, 1, 1, minAspRatio, maxAspRatio, 30);
// push targets into our vector
//Mat largeInImg;
#ifdef IMAGE_DOWNSAMPLING
resize(_fgImg, _fgImg, Size(), 2, 2, INTER_LINEAR);
resize(_inImg, largeInImg, Size(), 2, 2, INTER_LINEAR);
#endif
//tempImg = _fgImg.clone();
//findContours(tempImg, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));
//tempImg.release();
//imshow("_fgImg",_fgImg);
//waitKey(0);
contours = extractContours(_fgImg);
vector<FGObject>* fgObjects = new vector<FGObject>;
//Mat mask8U = Mat::zeros(largeInImg.size(), CV_8U);
for (size_t i = 0; i < contours.size(); i++){
double area = contourArea(contours[i]);
RotatedRect orientedRect = orientedBoundingBox(contours[i]);
Point2f points[4];
orientedRect.points(points);
/*
orientedRect.size.width *= 1.5;
orientedRect.size.height *= 1.5;
ellipse(mask8U, orientedRect, Scalar(255), -1);
int channels[] = {0};
int nbins = 16;
const int histSize[] = {nbins};
float range[] = {0, 255};
const float* ranges[] = {range};
Mat hist;
cv::calcHist(&largeInImg, 1, channels, mask8U, hist, 1, histSize, ranges);
*/
// push targets into our vector
FGObject* obj = new FGObject;
//obj->histogram = hist;
obj->setObjectProperties(area, orientedRect.angle, contours[i], points, SOURCE_UNRECTIFIED);
if(obj->isPartialOut(_fgImg.cols, _fgImg.rows) == false){
fgObjects->push_back(*obj);
}
delete obj;
//ellipse(mask8U, orientedRect, Scalar(0), -1);
}
// eliminate artifacts with width of 1 at the border...
rectangle(_fgImg, Point(0,0), Point(_fgImg.cols-1, _fgImg.rows-1), Scalar(0));
fgImg.getMatRef() = _fgImg.clone();
return fgObjects;
}
int main()
{
int nbComputations = 6;
int nbNodes = 5;
#pragma omp parallel for collapse(2), schedule(dynamic,1)
for ( int iNodes = 0; iNodes < nbNodes; iNodes++ )
{
for ( int iComputation = 0; iComputation < nbComputations; iComputation++ )
{
unsigned int nbNodes = iNodes + 1;
unsigned int nbTimeSteps = std::pow( 2, iComputation );
std::shared_ptr<sdc::TimeIntegrationScheme> timeIntegrationScheme;
std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> fluid;
std::shared_ptr<tubeflow::SDCTubeFlowBDFLinearizedSolidSolver> solid;
std::shared_ptr<MultiLevelFsiSolver> fsi;
{
scalar r0 = 0.2;
scalar a0 = M_PI * r0 * r0;
scalar u0 = 0.1;
scalar p0 = 0;
scalar L = 1;
scalar T = 1;
scalar dt = T / nbTimeSteps;
scalar rho_f = 1.225;
scalar rho_s = 1.225;
scalar E0 = 490;
scalar G = 490;
scalar h = 1.0e-3;
scalar nu = 0.5;
scalar cmk = std::sqrt( E0 * h / (2 * rho_f * r0) );
int N = 250;
bool parallel = false;
int extrapolation = 0;
int maxIter = 100;
scalar initialRelaxation = 1.0e-3;
int maxUsedIterations = 50;
int nbReuse = 0;
scalar tol = 1.0e-5;
scalar absoluteTol = 1.0e-13;
scalar singularityLimit = 1.0e-13;
int reuseInformationStartingFromTimeIndex = 0;
bool scaling = false;
bool updateJacobian = false;
scalar beta = 0.1;
int timeOrder = 1;
if ( nbNodes > 1 )
timeOrder = 2;
fluid = std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> ( new tubeflow::SDCTubeFlowFluidSolver( a0, u0, p0, dt, cmk, N, L, T, rho_f ) );
solid = std::shared_ptr<tubeflow::SDCTubeFlowBDFLinearizedSolidSolver>( new tubeflow::SDCTubeFlowBDFLinearizedSolidSolver( N, nu, rho_s, h, L, dt, G, E0, r0, T, timeOrder ) );
shared_ptr<MultiLevelSolver> fluidSolver( new MultiLevelSolver( fluid, fluid, 0, 0 ) );
shared_ptr<MultiLevelSolver> solidSolver( new MultiLevelSolver( solid, fluid, 1, 0 ) );
std::shared_ptr< std::list<std::shared_ptr<ConvergenceMeasure> > > convergenceMeasures;
convergenceMeasures = std::shared_ptr<std::list<std::shared_ptr<ConvergenceMeasure> > >( new std::list<std::shared_ptr<ConvergenceMeasure> > );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new ResidualRelativeConvergenceMeasure( 0, true, tol ) ) );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new AbsoluteConvergenceMeasure( 0, true, 0.1 * absoluteTol ) ) );
fsi = shared_ptr<MultiLevelFsiSolver> ( new MultiLevelFsiSolver( fluidSolver, solidSolver, convergenceMeasures, parallel, extrapolation ) );
shared_ptr<PostProcessing> postProcessing( new AndersonPostProcessing( fsi, maxIter, initialRelaxation, maxUsedIterations, nbReuse, singularityLimit, reuseInformationStartingFromTimeIndex, scaling, beta, updateJacobian ) );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcFluidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( fluid );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcSolidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( solid );
assert( sdcFluidSolver );
assert( sdcSolidSolver );
std::shared_ptr<fsi::SDCFsiSolver> fsiSolver( new fsi::SDCFsiSolver( sdcFluidSolver, sdcSolidSolver, postProcessing ) );
std::shared_ptr<fsi::quadrature::IQuadrature<scalar> > quadrature;
quadrature = std::shared_ptr<fsi::quadrature::IQuadrature<scalar> >( new fsi::quadrature::Uniform<scalar>( nbNodes ) );
timeIntegrationScheme = std::shared_ptr<sdc::TimeIntegrationScheme> ( new sdc::SDC( fsiSolver, quadrature, absoluteTol, nbNodes, 50 ) );
}
assert( timeIntegrationScheme );
assert( fluid );
assert( solid );
assert( fsi );
std::chrono::time_point<std::chrono::high_resolution_clock> start, end;
start = std::chrono::high_resolution_clock::now();
timeIntegrationScheme->run();
end = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> elapsed_seconds = end - start;
std::string label = "IDC_BDF";
label += "_nbNodes_" + std::to_string( nbNodes );
label += "_nbTimeSteps_" + std::to_string( nbTimeSteps );
ofstream log_file( label + ".log" );
ofstream data_fluid_u( label + "_data_fluid_u.log" );
ofstream data_fluid_a( label + "_data_fluid_a.log" );
ofstream data_fluid_p( label + "_data_fluid_p.log" );
ofstream data_solid_u( label + "_data_solid_u.log" );
ofstream data_solid_r( label + "_data_solid_r.log" );
log_file << "label = " << label << std::endl;
log_file << "nbNodes = " << nbNodes << std::endl;
log_file << "nbTimeSteps = " << nbTimeSteps << std::endl;
log_file << "nbIterations = " << fsi->nbIter << std::endl;
log_file << "timing = " << elapsed_seconds.count() << std::endl;
data_fluid_u << std::setprecision( 20 ) << fluid->u << std::endl;
data_fluid_a << std::setprecision( 20 ) << fluid->a << std::endl;
data_fluid_p << std::setprecision( 20 ) << fluid->p << std::endl;
data_solid_u << std::setprecision( 20 ) << solid->u << std::endl;
data_solid_r << std::setprecision( 20 ) << solid->r << std::endl;
log_file.close();
data_fluid_u.close();
data_fluid_a.close();
data_fluid_p.close();
data_solid_u.close();
data_solid_r.close();
}
}
}
TEST( SDCFsiTest, order )
{
int N = 5;
scalar r0 = 0.2;
scalar a0 = M_PI * r0 * r0;
scalar u0 = 0.1;
scalar p0 = 0;
scalar L = 1;
scalar T = 1;
scalar dx = L / N;
scalar rho = 1.225;
scalar E = 490;
scalar h = 1.0e-3;
scalar cmk = std::sqrt( E * h / (2 * rho * r0) );
scalar c0 = std::sqrt( cmk * cmk - p0 / (2 * rho) );
scalar kappa = c0 / u0;
bool parallel = false;
int extrapolation = 0;
scalar tol = 1.0e-5;
int maxIter = 20;
scalar initialRelaxation = 1.0e-3;
int maxUsedIterations = 50;
int nbReuse = 0;
scalar singularityLimit = 1.0e-13;
int reuseInformationStartingFromTimeIndex = 0;
bool scaling = false;
scalar beta = 0.01;
bool updateJacobian = false;
int minIter = 5;
ASSERT_NEAR( kappa, 10, 1.0e-13 );
ASSERT_TRUE( dx > 0 );
int nbComputations = 5;
std::deque<std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> > fluidSolvers;
std::deque<int> nbTimeStepsList;
for ( int iComputation = 0; iComputation < nbComputations; iComputation++ )
{
int nbTimeSteps = 4 * std::pow( 2, iComputation );
std::cout << "nbTimeSteps = " << nbTimeSteps << std::endl;
scalar dt = T / nbTimeSteps;
std::shared_ptr<tubeflow::SDCTubeFlowFluidSolver> fluid( new tubeflow::SDCTubeFlowFluidSolver( a0, u0, p0, dt, cmk, N, L, T, rho ) );
std::shared_ptr<tubeflow::SDCTubeFlowSolidSolver> solid( new tubeflow::SDCTubeFlowSolidSolver( a0, cmk, p0, rho, L, N ) );
shared_ptr<RBFFunctionInterface> rbfFunction;
shared_ptr<RBFInterpolation> rbfInterpolator;
shared_ptr<RBFCoarsening> rbfInterpToCouplingMesh;
shared_ptr<RBFCoarsening> rbfInterpToMesh;
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> fluidSolver( new MultiLevelSolver( fluid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 0, 0 ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToCouplingMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
rbfFunction = shared_ptr<RBFFunctionInterface>( new TPSFunction() );
rbfInterpolator = shared_ptr<RBFInterpolation>( new RBFInterpolation( rbfFunction ) );
rbfInterpToMesh = shared_ptr<RBFCoarsening> ( new RBFCoarsening( rbfInterpolator ) );
shared_ptr<MultiLevelSolver> solidSolver( new MultiLevelSolver( solid, fluid, rbfInterpToCouplingMesh, rbfInterpToMesh, 1, 0 ) );
std::shared_ptr< std::list<std::shared_ptr<ConvergenceMeasure> > > convergenceMeasures;
convergenceMeasures = std::shared_ptr<std::list<std::shared_ptr<ConvergenceMeasure> > >( new std::list<std::shared_ptr<ConvergenceMeasure> > );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new ResidualRelativeConvergenceMeasure( 0, false, tol ) ) );
convergenceMeasures->push_back( std::shared_ptr<ConvergenceMeasure>( new MinIterationConvergenceMeasure( 0, false, minIter ) ) );
shared_ptr<MultiLevelFsiSolver> fsi( new MultiLevelFsiSolver( fluidSolver, solidSolver, convergenceMeasures, parallel, extrapolation ) );
shared_ptr<PostProcessing> postProcessing( new AndersonPostProcessing( fsi, maxIter, initialRelaxation, maxUsedIterations, nbReuse, singularityLimit, reuseInformationStartingFromTimeIndex, scaling, beta, updateJacobian ) );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcFluidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( fluid );
std::shared_ptr<sdc::SDCFsiSolverInterface> sdcSolidSolver = std::dynamic_pointer_cast<sdc::SDCFsiSolverInterface>( solid );
assert( sdcFluidSolver );
assert( sdcSolidSolver );
std::shared_ptr<fsi::SDCFsiSolver> fsiSolver( new fsi::SDCFsiSolver( sdcFluidSolver, sdcSolidSolver, postProcessing, extrapolation ) );
int nbNodes = 3;
std::shared_ptr<fsi::quadrature::IQuadrature<scalar> > quadrature;
quadrature = std::shared_ptr<fsi::quadrature::IQuadrature<scalar> >( new fsi::quadrature::GaussLobatto<scalar>( nbNodes ) );
std::shared_ptr<sdc::SDC> sdc( new sdc::SDC( fsiSolver, quadrature, 1.0e-13, 10, 200 ) );
sdc->run();
ASSERT_TRUE( sdc->isConverged() );
fluidSolvers.push_back( fluid );
nbTimeStepsList.push_back( nbTimeSteps );
}
for ( int i = 0; i < 2; i++ )
{
fsi::vector ref;
if ( i == 0 )
ref = fluidSolvers.back()->u;
else
ref = fluidSolvers.back()->a;
std::deque<scalar> errors;
for ( int iComputation = 0; iComputation < nbComputations - 1; iComputation++ )
{
fsi::vector data;
if ( i == 0 )
data = fluidSolvers.at( iComputation )->u;
else
data = fluidSolvers.at( iComputation )->a;
scalar error = (ref - data).norm() / data.norm();
std::cout << "error = " << error << std::endl;
errors.push_back( error );
}
for ( int iComputation = 0; iComputation < nbComputations - 2; iComputation++ )
{
scalar order = ( std::log10( errors.at( iComputation ) ) - std::log10( errors.at( iComputation + 1 ) ) ) / ( std::log10( nbTimeStepsList.at( iComputation + 1 ) ) - std::log10( nbTimeStepsList.at( iComputation ) ) );
std::cout << "order = " << order << std::endl;
ASSERT_GE( order, 3.8 );
}
}
}
