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Yibing Liu
8ff6221d00
|
7 years ago | |
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.. | ||
README.md | 7 years ago | |
__init__.py | 8 years ago | |
ctc_decoders.cpp | 7 years ago | |
ctc_decoders.h | 7 years ago | |
decoder_utils.cpp | 7 years ago | |
decoder_utils.h | 7 years ago | |
decoders.i | 7 years ago | |
path_trie.cpp | 7 years ago | |
path_trie.h | 7 years ago | |
scorer.cpp | 7 years ago | |
scorer.h | 7 years ago | |
setup.py | 7 years ago | |
swig_decoders_wrapper.py | 7 years ago |
README.md
Installation
The build of the decoder for deployment depends on several open-sourced projects, first clone or download them to current directory (i.e., deep_speech_2/deploy
)
- KenLM: Faster and Smaller Language Model Queries
git clone https://github.com/kpu/kenlm.git
- OpenFst: A library for finite-state transducers
wget http://www.openfst.org/twiki/pub/FST/FstDownload/openfst-1.6.3.tar.gz
tar -xzvf openfst-1.6.3.tar.gz
-
SWIG: Compiling for python interface requires swig, please make sure swig being installed.
-
ThreadPool: A library for C++ thread pool
git clone https://github.com/progschj/ThreadPool.git
Then run the setup
python setup.py install --num_processes 4
cd ..
Deployment
For GPU deployment
CUDA_VISIBLE_DEVICES=0 python deploy.py
For CPU deployment
python deploy.py --use_gpu=False
More help for arguments
python deploy.py --help