| | |
| | | |
| | | int main(int argc, char *argv[]) |
| | | { |
| | | //google::InitGoogleLogging(argv[0]); |
| | | google::InitGoogleLogging(argv[0]); |
| | | FLAGS_logtostderr = true; |
| | | |
| | | TCLAP::CmdLine cmd("funasr-onnx-offline", ' ', "1.0"); |
| | | TCLAP::ValueArg<std::string> vad_model("", VAD_MODEL_PATH, "vad model path", false, "", "string"); |
| | | TCLAP::ValueArg<std::string> vad_cmvn("", VAD_CMVN_PATH, "vad cmvn path", false, "", "string"); |
| | | TCLAP::ValueArg<std::string> vad_config("", VAD_CONFIG_PATH, "vad config path", false, "", "string"); |
| | | |
| | | TCLAP::ValueArg<std::string> am_model("", AM_MODEL_PATH, "am model path", false, "", "string"); |
| | | TCLAP::ValueArg<std::string> am_cmvn("", AM_CMVN_PATH, "am cmvn path", false, "", "string"); |
| | |
| | | |
| | | cmd.add(vad_model); |
| | | cmd.add(vad_cmvn); |
| | | cmd.add(vad_config); |
| | | cmd.add(am_model); |
| | | cmd.add(am_cmvn); |
| | | cmd.add(am_config); |
| | |
| | | std::map<std::string, std::string> model_path; |
| | | GetValue(vad_model, VAD_MODEL_PATH, model_path); |
| | | GetValue(vad_cmvn, VAD_CMVN_PATH, model_path); |
| | | GetValue(vad_config, VAD_CONFIG_PATH, model_path); |
| | | GetValue(am_model, AM_MODEL_PATH, model_path); |
| | | GetValue(am_cmvn, AM_CMVN_PATH, model_path); |
| | | GetValue(am_config, AM_CONFIG_PATH, model_path); |
| | |
| | | |
| | | if (!asr_hanlde) |
| | | { |
| | | LOG(ERROR) << ("Cannot load ASR Model from: %s, there must be files model.onnx and vocab.txt", argv[1]); |
| | | LOG(ERROR) << "FunASR init failed"; |
| | | exit(-1); |
| | | } |
| | | |
| | | gettimeofday(&end, NULL); |
| | | long seconds = (end.tv_sec - start.tv_sec); |
| | | long modle_init_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec); |
| | | printf("Model initialization takes %lfs.", (double)modle_init_micros / 1000000); |
| | | LOG(INFO) << "Model initialization takes " << (double)modle_init_micros / 1000000 << " s"; |
| | | |
| | | // read wav_path and wav_scp |
| | | vector<string> wav_list; |
| | |
| | | if(model_path.find(WAV_SCP)!=model_path.end()){ |
| | | ifstream in(model_path.at(WAV_SCP)); |
| | | if (!in.is_open()) { |
| | | LOG(ERROR) << ("Failed to open file: %s", model_path.at(WAV_SCP)); |
| | | LOG(ERROR) << "Failed to open file: " << model_path.at(WAV_SCP) ; |
| | | return 0; |
| | | } |
| | | string line; |
| | |
| | | } |
| | | else |
| | | { |
| | | LOG(ERROR) << ("no return data!\n"); |
| | | LOG(ERROR) << ("No return data!\n"); |
| | | } |
| | | } |
| | | |
| | | printf("Audio length %lfs.\n", (double)snippet_time); |
| | | printf("Model inference takes %lfs.\n", (double)taking_micros / 1000000); |
| | | printf("Model inference RTF: %04lf.\n", (double)taking_micros/ (snippet_time*1000000)); |
| | | |
| | | LOG(INFO) << "Audio length: " << (double)snippet_time << " s"; |
| | | LOG(INFO) << "Model inference takes: " << (double)taking_micros / 1000000 <<" s"; |
| | | LOG(INFO) << "Model inference RTF: " << (double)taking_micros/ (snippet_time*1000000); |
| | | FunASRUninit(asr_hanlde); |
| | | return 0; |
| | | } |
| | | |
| | | |