Use parse options to parse arguments from sherpa-onnx-microphone (#237)
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@@ -36,54 +36,36 @@ static void Handler(int32_t sig) {
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}
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int32_t main(int32_t argc, char *argv[]) {
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if (argc < 5 || argc > 7) {
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const char *usage = R"usage(
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Usage:
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./bin/sherpa-onnx-microphone \
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/path/to/tokens.txt \
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/path/to/encoder.onnx\
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/path/to/decoder.onnx\
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/path/to/joiner.onnx\
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[num_threads [decoding_method]]
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signal(SIGINT, Handler);
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Default value for num_threads is 2.
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Valid values for decoding_method: greedy_search (default), modified_beam_search.
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const char *kUsageMessage = R"usage(
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This program uses streaming models with microphone for speech recognition.
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Usage:
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./bin/sherpa-onnx-microphone \
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--tokens=/path/to/tokens.txt \
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--encoder=/path/to/encoder.onnx \
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--decoder=/path/to/decoder.onnx \
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--joiner=/path/to/joiner.onnx \
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--provider=cpu \
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--num-threads=1 \
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--decoding-method=greedy_search
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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for a list of pre-trained models to download.
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)usage";
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fprintf(stderr, "%s\n", usage);
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fprintf(stderr, "argc, %d\n", argc);
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return 0;
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}
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signal(SIGINT, Handler);
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sherpa_onnx::ParseOptions po(kUsageMessage);
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sherpa_onnx::OnlineRecognizerConfig config;
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config.model_config.tokens = argv[1];
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config.model_config.debug = false;
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config.model_config.encoder_filename = argv[2];
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config.model_config.decoder_filename = argv[3];
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config.model_config.joiner_filename = argv[4];
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config.model_config.num_threads = 2;
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if (argc == 6 && atoi(argv[5]) > 0) {
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config.model_config.num_threads = atoi(argv[5]);
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config.Register(&po);
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po.Read(argc, argv);
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if (po.NumArgs() != 0) {
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po.PrintUsage();
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exit(EXIT_FAILURE);
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}
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if (argc == 7) {
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config.decoding_method = argv[6];
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}
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config.max_active_paths = 4;
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config.enable_endpoint = true;
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config.endpoint_config.rule1.min_trailing_silence = 2.4;
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config.endpoint_config.rule2.min_trailing_silence = 1.2;
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config.endpoint_config.rule3.min_utterance_length = 300;
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fprintf(stderr, "%s\n", config.ToString().c_str());
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if (!config.Validate()) {
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