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mpisearchMexData Namespace Reference

Functions
bool	loadStruct (const mxArray **ci, FeatureData &thedata)
void	releaseStruct (FeatureData &thedata)

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Function Documentation

bool loadStruct (  const mxArray **  ci, FeatureData &  thedata )

Definition at line 25 of file loadstruct.cc. References Feature::abs, Feature::alpha, Feature::bias, OffsetWindow::bottom, cascade, FeatureData::cascades, corner, Feature::corners, Cascade::end, feature, FeatureData::features, i, Feature::id, OffsetWindow::left, FeatureData::nl, Feature::nl_over_range, FeatureData::normOffset, FeatureData::numcascades, numClassifiers, Feature::numcorners, FeatureData::numfeatures, FeatureData::numStdAdjusts, FeatureData::patch_height, FeatureData::patch_width, FeatureData::patchsize, FeatureData::plus_minus_one, FeatureData::preserve_aH, FeatureData::real_fun, OffsetWindow::right, Cascade::start, FeatureData::stdAdjusts, Cascade::thresh, OffsetWindow::top, Feature::tuning_curve, Corner::value, Feature::weight, Corner::x, and Corner::y. Referenced by MPEyeFinderMex::MPEyeFinderMex(), and MPISearchMex::MPISearchMex(). { // cout << "entered load struct" << endl; int trainAttr = -1; int nfields = mxGetNumberOfFields(*ci); thedata.plus_minus_one = 0; //cout << "nfields: " << nfields << endl; int patchSizeField = -1; // check for possibly missing fields for(int i = 0; i < nfields; ++i){ const char * field = mxGetFieldNameByNumber(*ci, i); if(!strcmp(field, "trainAttr")) trainAttr = i; // plus_minus_one is bogus here..? Should be below! if(!strcmp(field, "plus_minus_one")) thedata.plus_minus_one = static_cast<int>(*mxGetPr(mxGetField(*ci, 0, "plus_minus_one"))); if(!strcmp(field, "patchSize")) patchSizeField = i; } // cout << "trainAttr: " << trainAttr << endl; thedata.real_fun = false; thedata.preserve_aH = 0; char *attrBuff; attrBuff = (char *)malloc(sizeof(char) * 256); if(trainAttr >= 0 ){ int nAttr = mxGetNumberOfElements(mxGetFieldByNumber(*ci, 0, trainAttr)); for(int i = 0; i < nAttr; ++i){ mxGetString(mxGetCell(mxGetFieldByNumber(*ci, 0, trainAttr), i), attrBuff, 256); if(!strcmp(attrBuff, "densityEst")) thedata.real_fun = true; if(!strcmp(attrBuff, "preserve_aH")) thedata.preserve_aH = 1; if(!strcmp(attrBuff, "plus_minus_one")) thedata.plus_minus_one = 1; } } free(attrBuff); // cout << "thedata.real_fun: " << thedata.real_fun << endl; if(patchSizeField != -1){ thedata.patchsize = static_cast<int>(*mxGetPr(mxGetField(*ci, 0, "patchSize"))); thedata.patch_height = thedata.patchsize; thedata.patch_width = thedata.patchsize; } else { thedata.patch_height = static_cast<int>(*mxGetPr(mxGetField(*ci, 0, "nI"))); thedata.patch_width = static_cast<int>(*mxGetPr(mxGetField(*ci, 0, "nJ"))); thedata.patchsize = thedata.patch_width; } // cout << "patchSize: " << thedata.patchsize << endl; // get normalization window double *hwi, *hwj; hwi = mxGetPr(mxGetField(*ci, 0, "hwi")); hwj = mxGetPr(mxGetField(*ci, 0, "hwj")); //cout << "hwi[0,3]: " << hwi[0] << " " << hwi[3] << endl; //cout << "hwj[0,3]: " << hwj[0] << " " << hwj[3] << endl; thedata.normOffset.left = static_cast<int>(hwj[0])-1; thedata.normOffset.top = static_cast<int>(hwi[0])-1; thedata.normOffset.right = thedata.patch_width-static_cast<int>(hwj[3])-1; thedata.normOffset.bottom = thedata.patch_height-static_cast<int>(hwi[3])-1; //cout << "normOffset[l,t,r,b]: " << thedata.normOffset.left << " " << thedata.normOffset.top << " "; //cout << thedata.normOffset.right << " " << thedata.normOffset.bottom << endl; if(thedata.real_fun){ thedata.nl = static_cast<int>(*(mxGetPr(mxGetField(*ci, 0, "nl")))); } // Get stdAdjusts thedata.numStdAdjusts = static_cast<int>(mxGetNumberOfElements(mxGetField(*ci, 0, "std_adjust"))); thedata.stdAdjusts = new float[thedata.numStdAdjusts]; for(int i = 0; i < thedata.numStdAdjusts; ++i){ thedata.stdAdjusts[i] = static_cast<float>(*(mxGetPr(mxGetField(*ci, 0, "std_adjust"))+i)); } // Get cascades thedata.numcascades = static_cast<int>(*mxGetPr(mxGetField(*ci, 0, "numCascade"))); thedata.cascades = new Cascade[thedata.numcascades]; for(int i=0; i < thedata.numcascades; i++) { Cascade *cascade = thedata.cascades + i; cascade->start = static_cast<int>((*mxGetPr(mxGetField(mxGetField(*ci, 0, "cascade"), i, "start")))-1); cascade->end = static_cast<int>((*mxGetPr(mxGetField(mxGetField(*ci, 0, "cascade"), i, "end")))-1); cascade->thresh = static_cast<float>(*mxGetPr(mxGetField(mxGetField(*ci, 0, "cascade"), i, "thresh"))); } // iterate through the Features int numClassifiers = static_cast<int>(*mxGetPr(mxGetField(*ci, 0, "numClassifiers"))); thedata.numfeatures = numClassifiers; thedata.features = new Feature[thedata.numfeatures]; for(int i = 0; i < numClassifiers; ++i) { Feature * feature = thedata.features + i; if(!thedata.real_fun){ feature->id = i; //(*mxGetPr(mxGetCell(mxGetField(*ci, 0, "Weights"), i))); feature->alpha = static_cast<float>(*(mxGetPr(mxGetField(*ci, 0, "Alphas"))+i)); feature->bias = static_cast<float>(*(mxGetPr(mxGetField(*ci, 0, "Bias"))+i)); feature->weight = static_cast<int>(*mxGetPr(mxGetCell(mxGetField(*ci, 0, "Weights"), i))); feature->abs = static_cast<int>(*(mxGetPr(mxGetField(*ci, 0, "abs"))+i)); } else { feature->id = i; feature->alpha = 1; feature->bias = static_cast<float>(*(mxGetPr(mxGetField(*ci, 0, "Bias"))+i)); feature->tuning_curve = new double[thedata.nl+1]; double * weights_array = mxGetPr(mxGetCell(mxGetField(*ci, 0, "Weights"), i)); feature->tuning_curve[0] = *weights_array; for(int j=0; j < thedata.nl; ++j) feature->tuning_curve[j+1] = *(weights_array+j); //cout << "Weights: "; //for(int j = 0; j <= thedata.nl; ++j) //cout << " " << feature->tuning_curve[j]; //cout << endl; double top, bot; top = *(mxGetPr(mxGetField(*ci, 0, "Bias"))+(numClassifiers+i)); bot = *(mxGetPr(mxGetField(*ci, 0, "Bias"))+i); feature->nl_over_range = thedata.nl/(top-bot); // cout << "feature->nl_over_range = " << feature->nl_over_range << endl; } feature->numcorners = static_cast<int>(mxGetNumberOfElements(mxGetField(mxGetField(*ci, 0, "shape_feature"), i, "i"))); feature->corners = new Corner[feature->numcorners]; for(int j=0;j < feature->numcorners; j++) { Corner * corner = feature->corners + j; corner->x = static_cast<int>(*(mxGetPr(mxGetField(mxGetField(*ci, 0, "shape_feature"), i, "j"))+j)-1); corner->y = static_cast<int>(*(mxGetPr(mxGetField(mxGetField(*ci, 0, "shape_feature"), i, "i"))+j)-1); corner->value = static_cast<int>(*(mxGetPr(mxGetField(mxGetField(*ci, 0, "shape_feature"), i, "c"))+j)); } } //cout << "Exiting from loadStruct" << endl; return true; }

void releaseStruct (  FeatureData &  thedata  )

Definition at line 152 of file loadstruct.cc. References FeatureData::cascades, Feature::corners, FeatureData::features, i, FeatureData::numcascades, FeatureData::numfeatures, FeatureData::real_fun, FeatureData::stdAdjusts, and Feature::tuning_curve. Referenced by MPEyeFinderMex::~MPEyeFinderMex(), and MPISearchMex::~MPISearchMex(). { //cout << "Entered mpisearchMexData::releaseStruct" << endl; delete[] thedata.stdAdjusts; for(int i = 0; i < thedata.numfeatures; i++) { delete [] thedata.features[i].corners; if(thedata.real_fun) delete [] thedata.features[i].tuning_curve; } delete[] thedata.features; delete[] thedata.cascades; thedata.cascades = NULL; thedata.features = NULL; thedata.numfeatures = 0; thedata.numcascades = 0; //cout << "exited mpisearchMexData::releaseStruct" << endl; }

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