From 33d3d2084403fd34b79c835d2f2fe04f6cd8f738 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 13 九月 2023 09:33:54 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add

---
 funasr/runtime/onnxruntime/readme.md |   76 +++++++++-----------------------------
 1 files changed, 18 insertions(+), 58 deletions(-)

diff --git a/funasr/runtime/onnxruntime/readme.md b/funasr/runtime/onnxruntime/readme.md
index 65c320f..6735a7c 100644
--- a/funasr/runtime/onnxruntime/readme.md
+++ b/funasr/runtime/onnxruntime/readme.md
@@ -1,74 +1,34 @@
-# ONNXRuntime-cpp
+# Please ref to [websocket service](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/websocket)
 
-## Export the model
-### Install [modelscope and funasr](https://github.com/alibaba-damo-academy/FunASR#installation)
-
-```shell
-pip3 install torch torchaudio
-pip install -U modelscope
-pip install -U funasr
-```
-
-### Export [onnx model](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export)
-
-```shell
-python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx --quantize True
-```
-
+# If you want to compile the file yourself, you can follow the steps below.
 ## Building for Linux/Unix
-
 ### Download onnxruntime
 ```shell
-# download an appropriate onnxruntime from https://github.com/microsoft/onnxruntime/releases/tag/v1.14.0
-# here we get a copy of onnxruntime for linux 64
 wget https://github.com/microsoft/onnxruntime/releases/download/v1.14.0/onnxruntime-linux-x64-1.14.0.tgz
 tar -zxvf onnxruntime-linux-x64-1.14.0.tgz
 ```
 
-### Install openblas
+### Download ffmpeg
 ```shell
+wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-N-111383-g20b8688092-linux64-gpl-shared.tar.xz
+tar -xvf ffmpeg-N-111383-g20b8688092-linux64-gpl-shared.tar.xz
+```
+
+### Install deps
+```shell
+# openblas
 sudo apt-get install libopenblas-dev #ubuntu
 # sudo yum -y install openblas-devel #centos
+
+# openssl
+apt-get install libssl-dev #ubuntu 
+# yum install openssl-devel #centos
 ```
 
 ### Build runtime
 ```shell
-git clone https://github.com/alibaba-damo-academy/FunASR.git && cd funasr/runtime/onnxruntime
+git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR/funasr/runtime/onnxruntime
 mkdir build && cd build
-cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0
-make
-```
-
-[//]: # (### The structure of a qualified onnxruntime package.)
-
-[//]: # (```)
-
-[//]: # (onnxruntime_xxx)
-
-[//]: # (鈹溾攢鈹�鈹�include)
-
-[//]: # (鈹斺攢鈹�鈹�lib)
-
-[//]: # (```)
-
-## Building for Windows
-
-Ref to win/
-
-
-## Run the demo
-
-```shell
-tester /path/models_dir /path/wave_file quantize(true or false)
-```
-
-The structure of /path/models_dir
-```
-config.yaml, am.mvn, model.onnx(or model_quant.onnx)
-```
-
-
-## Acknowledge
-1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
-2. We acknowledge [mayong](https://github.com/RapidAI/RapidASR/tree/main/cpp_onnx) for contributing the onnxruntime(cpp api).
-3. We borrowed a lot of code from [FastASR](https://github.com/chenkui164/FastASR) for audio frontend and text-postprocess.
+cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/path/to/ffmpeg-N-111383-g20b8688092-linux64-gpl-shared
+make -j 4
+```
\ No newline at end of file

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