示例#1
0
文件: model.py 项目: Ghost3/tegaki
    def train(self):
        """Train HMMs"""
        initial_hmm_files = self.get_initial_hmm_files()

        if len(initial_hmm_files) == 0:
            raise ModelException, "No initial HMM files found."
        
        if not os.path.exists(self.TRAIN_HMM_ROOT):
            os.makedirs(self.TRAIN_HMM_ROOT)

        trainer = self.Trainer()
        viterbi_trainer = ViterbiTrainer(self.ViterbiCalculator(),
                                         non_diagonal=self.NON_DIAGONAL)
        
        for file in initial_hmm_files:
            char_code = int(os.path.basename(file).split(".")[0])
            hmm = MultivariateHmm.from_file(file)
            sset_file = os.path.join(self.TRAIN_FEATURES_ROOT,
                                     str(char_code) + ".sset")

            sset = self.get_sequence_set(sset_file)
            output_file = os.path.join(self.TRAIN_HMM_ROOT,
                                       "%d.xml" % char_code)

            if self.TRAINING in (self.TRAINING_VITERBI, self.TRAINING_BOTH):
                self.print_verbose("Viterbi training: " + output_file)
                viterbi_trainer.train(hmm, sset)

            if self.TRAINING in (self.TRAINING_BAUM_WELCH, self.TRAINING_BOTH):
                self.print_verbose("Baum-Welch training: " + output_file)
                trainer.train(hmm, sset)

            hmm.write(output_file)
示例#2
0
    def train(self):
        """Train HMMs"""
        initial_hmm_files = self.get_initial_hmm_files()

        if len(initial_hmm_files) == 0:
            raise ModelException, "No initial HMM files found."

        if not os.path.exists(self.TRAIN_HMM_ROOT):
            os.makedirs(self.TRAIN_HMM_ROOT)

        trainer = self.Trainer()
        viterbi_trainer = ViterbiTrainer(self.ViterbiCalculator(),
                                         non_diagonal=self.NON_DIAGONAL)

        for file in initial_hmm_files:
            char_code = int(os.path.basename(file).split(".")[0])
            hmm = MultivariateHmm.from_file(file)
            sset_file = os.path.join(self.TRAIN_FEATURES_ROOT,
                                     str(char_code) + ".sset")

            sset = self.get_sequence_set(sset_file)
            output_file = os.path.join(self.TRAIN_HMM_ROOT,
                                       "%d.xml" % char_code)

            if self.TRAINING in (self.TRAINING_VITERBI, self.TRAINING_BOTH):
                self.print_verbose("Viterbi training: " + output_file)
                viterbi_trainer.train(hmm, sset)

            if self.TRAINING in (self.TRAINING_BAUM_WELCH, self.TRAINING_BOTH):
                self.print_verbose("Baum-Welch training: " + output_file)
                trainer.train(hmm, sset)

            hmm.write(output_file)
示例#3
0
文件: model.py 项目: Ghost3/tegaki
 def get_hmms_from_files(self, files):
     hmms = []
     
     for file in files:
         char_code = int(os.path.basename(file).split(".")[0])
         hmm = MultivariateHmm.from_file(file)
         hmm.char_code = char_code     
         hmms.append(hmm)
         
     return hmms
示例#4
0
    def get_hmms_from_files(self, files):
        hmms = []

        for file in files:
            char_code = int(os.path.basename(file).split(".")[0])
            hmm = MultivariateHmm.from_file(file)
            hmm.char_code = char_code
            hmms.append(hmm)

        return hmms