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jcsilva / docker-kaldi-gstreamer-server

Dockerfile for kaldi-gstreamer-server.
BSD 2-Clause "Simplified" License
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Error opening input stream #47

Closed ghost closed 5 years ago

ghost commented 5 years ago

I keep getting a runtime error and the service keeps shutting down. I have described what I did below.

The README said to get my own kaldi model and must have a yaml file that describes the model. So I got a this model tedlium-nnet2, and put it inside /media/kaldi_models , which is mirrored in /opt/models in the docker container.

So my model english lives at /opt/models/english.

For the yaml file, I copied the 3rd one in your example from here and changed all the test/models/english to just english, and renamed it to nnet2.yaml.

I also copied the sample_full_post_processor.py file from alumae/kaldi-gstreamer-server/master/ because the yaml file required it.

But when I start the service using the command /opt/start.sh -y /opt/models/nnet2.yaml, I get this error Error opening input stream test/models/english/tedlium_nnet_ms_sp_online/ivector_extractor/final.mat. Since I refactored all the paths, why is it still looking under test/models?

See the worker log below. 

2018-12-09 06:04:28 -    INFO:   decoder2: Created GStreamer elements
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstAppSrc object at 0x7f9e215e6550 (GstAppSrc at 0x160a1b0)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstDecodeBin object at 0x7f9e215e6370 (GstDecodeBin at 0x1620090)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstAudioConvert object at 0x7f9e215e6320 (GstAudioConvert at 0x162bee0)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstAudioResample object at 0x7f9e215e6500 (GstAudioResample at 0x14e8bd0)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstTee object at 0x7f9e215e6460 (GstTee at 0x163c000)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstQueue object at 0x7f9e215e64b0 (GstQueue at 0x1640210)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstFileSink object at 0x7f9e215e65a0 (GstFileSink at 0x1644c00)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstQueue object at 0x7f9e215e65f0 (GstQueue at 0x1640500)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.Gstkaldinnet2onlinedecoder object at 0x7f9e215e6640 (Gstkaldinnet2onlinedecoder at 0x16660a0)> to the pipeline
2018-12-09 06:04:28 -   DEBUG:   decoder2: Adding <__main__.GstFakeSink object at 0x7f9e215e6690 (GstFakeSink at 0x1541200)> to the pipeline
2018-12-09 06:04:28 -    INFO:   decoder2: Linking GStreamer elements
ERROR ([5.4.176~1-be967]:Input():kaldi-io.cc:756) Error opening input stream test/models/english/tedlium_nnet_ms_sp_online/ivector_extractor/final.mat

[ Stack-Trace: ]
kaldi::MessageLogger::HandleMessage(kaldi::LogMessageEnvelope const&, char const*)
kaldi::MessageLogger::~MessageLogger()
kaldi::Input::Input(std::string const&, bool*)
void kaldi::ReadKaldiObject<kaldi::Matrix<float> >(std::string const&, kaldi::Matrix<float>*)
kaldi::OnlineIvectorExtractionInfo::Init(kaldi::OnlineIvectorExtractionConfig const&)
kaldi::OnlineNnet2FeaturePipelineInfo::OnlineNnet2FeaturePipelineInfo(kaldi::OnlineNnet2FeaturePipelineConfig const&)

gst_pad_query
gst_pad_query_caps
gst_element_get_compatible_pad
.
.
.
python() [0x4b988b]
PyEval_EvalFrameEx
PyEval_EvalFrameEx
PyEval_EvalCodeEx
python() [0x50160f]
PyRun_FileExFlags
PyRun_SimpleFileExFlags
Py_Main
__libc_start_main
python() [0x497b8b]

terminate called after throwing an instance of 'std::runtime_error'
  what():
ghost commented 5 years ago

Running practical example was successful. Closing.

varghesesanya commented 4 years ago

What do you mean by that?