/**
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* Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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* MIT License (https://opensource.org/licenses/MIT)
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*/
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#ifndef _WIN32
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#include <sys/time.h>
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#else
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#include <win_func.h>
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#endif
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#include <iostream>
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#include <fstream>
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#include <sstream>
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#include <map>
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#include <vector>
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#include <glog/logging.h>
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#include "funasrruntime.h"
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#include "tclap/CmdLine.h"
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#include "com-define.h"
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using namespace std;
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void GetValue(TCLAP::ValueArg<std::string>& value_arg, string key, std::map<std::string, std::string>& model_path)
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{
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if (value_arg.isSet()){
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model_path.insert({key, value_arg.getValue()});
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LOG(INFO)<< key << " : " << value_arg.getValue();
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}
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}
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void print_segs(vector<vector<int>>* vec) {
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string seg_out="[";
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for (int i = 0; i < vec->size(); i++) {
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vector<int> inner_vec = (*vec)[i];
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seg_out += "[";
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for (int j = 0; j < inner_vec.size(); j++) {
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seg_out += to_string(inner_vec[j]);
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if (j != inner_vec.size() - 1) {
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seg_out += ",";
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}
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}
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seg_out += "]";
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if (i != vec->size() - 1) {
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seg_out += ",";
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}
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}
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seg_out += "]";
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LOG(INFO)<<seg_out;
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}
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int main(int argc, char *argv[])
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{
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google::InitGoogleLogging(argv[0]);
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FLAGS_logtostderr = true;
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TCLAP::CmdLine cmd("funasr-onnx-offline-vad", ' ', "1.0");
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TCLAP::ValueArg<std::string> model_dir("", MODEL_DIR, "the vad model path, which contains model.onnx, vad.yaml, vad.mvn", true, "", "string");
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TCLAP::ValueArg<std::string> quantize("", QUANTIZE, "false (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir", false, "false", "string");
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TCLAP::ValueArg<std::string> wav_path("", WAV_PATH, "wave file path", false, "", "string");
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TCLAP::ValueArg<std::string> wav_scp("", WAV_SCP, "wave scp path", false, "", "string");
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cmd.add(model_dir);
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cmd.add(quantize);
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cmd.add(wav_path);
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cmd.add(wav_scp);
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cmd.parse(argc, argv);
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std::map<std::string, std::string> model_path;
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GetValue(model_dir, MODEL_DIR, model_path);
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GetValue(quantize, QUANTIZE, model_path);
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GetValue(wav_path, WAV_PATH, model_path);
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GetValue(wav_scp, WAV_SCP, model_path);
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struct timeval start, end;
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gettimeofday(&start, NULL);
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int thread_num = 1;
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FUNASR_HANDLE vad_hanlde=FsmnVadInit(model_path, thread_num);
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if (!vad_hanlde)
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{
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LOG(ERROR) << "FunVad init failed";
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exit(-1);
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}
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gettimeofday(&end, NULL);
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long seconds = (end.tv_sec - start.tv_sec);
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long modle_init_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
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LOG(INFO) << "Model initialization takes " << (double)modle_init_micros / 1000000 << " s";
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// read wav_path and wav_scp
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vector<string> wav_list;
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if(model_path.find(WAV_PATH)!=model_path.end()){
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wav_list.emplace_back(model_path.at(WAV_PATH));
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}
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if(model_path.find(WAV_SCP)!=model_path.end()){
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ifstream in(model_path.at(WAV_SCP));
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if (!in.is_open()) {
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LOG(ERROR) << "Failed to open file: " << model_path.at(WAV_SCP) ;
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return 0;
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}
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string line;
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while(getline(in, line))
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{
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istringstream iss(line);
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string column1, column2;
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iss >> column1 >> column2;
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wav_list.emplace_back(column2);
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}
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in.close();
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}
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float snippet_time = 0.0f;
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long taking_micros = 0;
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for(auto& wav_file : wav_list){
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gettimeofday(&start, NULL);
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FUNASR_RESULT result=FsmnVadWavFile(vad_hanlde, wav_file.c_str(), RASR_NONE, NULL);
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gettimeofday(&end, NULL);
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seconds = (end.tv_sec - start.tv_sec);
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taking_micros += ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
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if (result)
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{
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vector<std::vector<int>>* vad_segments = FsmnVadGetResult(result, 0);
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print_segs(vad_segments);
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snippet_time += FsmnVadGetRetSnippetTime(result);
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FsmnVadFreeResult(result);
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}
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else
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{
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LOG(ERROR) << ("No return data!\n");
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}
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}
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LOG(INFO) << "Audio length: " << (double)snippet_time << " s";
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LOG(INFO) << "Model inference takes: " << (double)taking_micros / 1000000 <<" s";
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LOG(INFO) << "Model inference RTF: " << (double)taking_micros/ (snippet_time*1000000);
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FsmnVadUninit(vad_hanlde);
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return 0;
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}
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