// file: $isip/class/stat/GaussianModel/gaus_03.cc // version: $Id: gaus_03.cc 9856 2004-10-20 23:24:41Z raghavan $ // // isip include files // #include "GaussianModel.h" // method: readAccumulator // // arguments: // Sof& sof: (input) sof file object // int32 tag: (input) sof object instance tag // const String& name: (input) sof object instance name // // return: a bool8 value indicating status // // this method has the object read accumulators from an Sof file // bool8 GaussianModel::readAccumulator(Sof& sof_a, int32 tag_a, const String& name_a) { // read the instance of the object from the Sof file // if (!sof_a.find(name_a, tag_a)) { return false; } // read the actual data from the sof file // if (!readAccumulatorData(sof_a)) { return false; } // exit gracefully // return true; } // method: readAccumulatorData // // arguments: // Sof& sof: (input) sof file object // const String& pname: (input) parameter name // int32 size: (input) size in bytes of object (or full_size) // bool8 param: (input) is the parameter name in the file? // bool8 nested: (input) are we nested? // // return: a bool8 value indicating status // // this method has the object read itself from an Sof file. it assumes // that the Sof file is already positioned correctly. // bool8 GaussianModel::readAccumulatorData(Sof& sof_a, const String& pname_a, int32 size_a, bool8 param_a, bool8 nested_a) { Integral::DEBUG debug_level = Integral::NONE; SofParser parser; parser.setDebug(debug_level); // declare local variables // Double occ_accum; Long access_accum; VectorDouble mean_accum; MatrixDouble covar_accum; // are we nested? // if (nested_a) { parser.setNest(); } // load the parse // if (!parser.load(sof_a, size_a)) { return Error::handle(name(), L"readData", Error::READ, __FILE__, __LINE__, Error::WARNING); } // get the access count accumulator // if (!access_accum.readData(sof_a, PARAM_ACCESS_ACCUM, parser.getEntry(sof_a, PARAM_ACCESS_ACCUM))) { return Error::handle(name(), L"readAccumData", Error::ARG, __FILE__, __LINE__); } access_accum_d.add(access_accum); // get the occupancy accumulator // if (!occ_accum.readData(sof_a, PARAM_OCCUPANCY_ACCUM, parser.getEntry(sof_a, PARAM_OCCUPANCY_ACCUM))) { return Error::handle(name(), L"readAccumData", Error::ARG, __FILE__, __LINE__); } occ_accum_d.add(occ_accum); // get the mean accumulator // if (!mean_accum.readData(sof_a, PARAM_MEAN_ACCUM, parser.getEntry(sof_a, PARAM_MEAN_ACCUM), false, false)) { return Error::handle(name(), L"readAccumData", Error::ARG, __FILE__, __LINE__); } // if the length of the vectors are same, then add // if (mean_accum_d.length() == mean_accum.length()) { mean_accum_d.add(mean_accum); } // set the length of the vector mean_accum_d once in the beginning // when its length is zero. after this point, during the next // function calls, if the length of the mean_accum is zero, it is // not added to mean_accum_d // else if (mean_accum_d.length() == (int32)0) { mean_accum_d.setLength(mean_accum.length()); mean_accum_d.add(mean_accum); } // get the covariance accumulator // if (!covar_accum.readData(sof_a, PARAM_COVARIANCE_ACCUM, parser.getEntry(sof_a, PARAM_COVARIANCE_ACCUM), true, true)) { return Error::handle(name(), L"readAccumData", Error::ARG, __FILE__, __LINE__); } // if the dimensions of the matrices are same, then add // if ((covar_accum_d.getNumRows() == covar_accum.getNumRows()) && (covar_accum_d.getNumColumns() == covar_accum.getNumColumns())) { covar_accum_d.add(covar_accum); } // set the dimensions of the matrix covar_accum_d once in the // beginning when its dimensions are zero. after this point, during // the next function calls, if the dimensions of the covar_accum are // zero, it is not added to covar_accum_d // else if((covar_accum_d.getNumRows() == (int32)0) && (covar_accum_d.getNumColumns() == (int32)0)) { covar_accum_d.setDimensions(covar_accum.getNumRows(), covar_accum.getNumColumns()); covar_accum_d.add(covar_accum); } // exit gracefully // return true; } // method: read // // arguments: // Sof& sof: (input) sof file object // int32 tag: (input) sof object instance tag // const String& name: (input) sof object instance name // // return: a bool8 value indicating status // // this method has the object read itself from an Sof file // bool8 GaussianModel::read(Sof& sof_a, int32 tag_a, const String& name_a) { // read the instance of the object from the Sof file // if (!sof_a.find(name_a, tag_a)) { return false; } // read the actual data from the sof file // if (!readData(sof_a)) { return false; } // exit gracefully // return true; } // method: readData // // arguments: // Sof& sof: (input) sof file object // const String& pname: (input) parameter name // int32 size: (input) size in bytes of object (or full_size) // bool8 param: (input) is the parameter name in the file? // bool8 nested: (input) are we nested? // // return: a bool8 value indicating status // // this method has the object read itself from an Sof file. it assumes // that the Sof file is already positioned correctly. // bool8 GaussianModel::readData(Sof& sof_a, const String& pname_a, int32 size_a, bool8 param_a, bool8 nested_a) { Integral::DEBUG debug_level = Integral::NONE; SofParser parser; parser.setDebug(debug_level); // ignore implicit parameter setting // // are we nested? // if (nested_a) { parser.setNest(); } // load the parse // if (!parser.load(sof_a, size_a)) { return Error::handle(name(), L"readData", Error::READ, __FILE__, __LINE__, Error::WARNING); } // get the vector of means // if (!mean_d.readData(sof_a, PARAM_MEAN, parser.getEntry(sof_a, PARAM_MEAN), false, false)) { return Error::handle(name(), L"readData", Error::READ, __FILE__, __LINE__, Error::WARNING); } // get the covariance matrix // if (!covariance_d.readData(sof_a, PARAM_COVARIANCE, parser.getEntry(sof_a, PARAM_COVARIANCE), true, true)) { return Error::handle(name(), L"readData", Error::READ, __FILE__, __LINE__, Error::WARNING); } // save a copy of the value just read // orig_covar_d.assign(covariance_d); // set the initialization flag // is_valid_d = false; // call initialization method and exit gracefully // return init(); } // method: readOccupancies // // arguments: // Sof& sof: (input) sof file object // int32 tag: (input) sof object instance tag // const String& name: (input) sof object instance name // // return: a bool8 value indicating status // // this method has the object read occupancies from an Sof accumulator file // bool8 GaussianModel::readOccupancies(Sof& sof_a, int32 tag_a, const String& name_a) { // read the instance of the object from the Sof file // if (!sof_a.find(name_a, tag_a)) { return false; } // read the actual data from the sof file // if (!readOccupanciesData(sof_a)) { return false; } // exit gracefully // return true; } // method: readOccupanciesData // // arguments: // Sof& sof: (input) sof file object // const String& pname: (input) parameter name // int32 size: (input) size in bytes of object (or full_size) // bool8 param: (input) is the parameter name in the file? // bool8 nested: (input) are we nested? // // return: a bool8 value indicating status // // this method has the object read itself from an Sof file. it assumes // that the Sof file is already positioned correctly. // bool8 GaussianModel::readOccupanciesData(Sof& sof_a, const String& pname_a, int32 size_a, bool8 param_a, bool8 nested_a) { Integral::DEBUG debug_level = Integral::NONE; SofParser parser; parser.setDebug(debug_level); // declare local variables // Double occ_accum; // are we nested? // if (nested_a) { parser.setNest(); } // load the parse // if (!parser.load(sof_a, size_a)) { return Error::handle(name(), L"readData", Error::READ, __FILE__, __LINE__, Error::WARNING); } // get the occupancy accumulator // if (!occ_accum.readData(sof_a, PARAM_OCCUPANCY_ACCUM, parser.getEntry(sof_a, PARAM_OCCUPANCY_ACCUM))) { return Error::handle(name(), L"readAccumData", Error::ARG, __FILE__, __LINE__); } occ_accum_d.add(occ_accum); // exit gracefully // return true; }