From 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:50:07 +0800
Subject: [PATCH] update
---
funasr/runtime/python/onnxruntime/README.md | 80 +++++++++++++++++-----------------------
1 files changed, 34 insertions(+), 46 deletions(-)
diff --git a/funasr/runtime/python/onnxruntime/README.md b/funasr/runtime/python/onnxruntime/README.md
index 38414d5..e19e3a2 100644
--- a/funasr/runtime/python/onnxruntime/README.md
+++ b/funasr/runtime/python/onnxruntime/README.md
@@ -1,54 +1,49 @@
-## Using paraformer with ONNXRuntime
+## Using funasr with ONNXRuntime
-<p align="left">
- <a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
- <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
-</p>
### Introduction
- Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary).
### Steps:
-1. Download the whole directory
+1. Export the model.
+ - Command: (`Tips`: torch >= 1.11.0 is required.)
+
+ More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
+
+ - `e.g.`, Export model from modelscope
+ ```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 False
+ ```
+ - `e.g.`, Export model from local path, the model'name must be `model.pb`.
+ ```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 False
+ ```
+
+
+2. Install the `funasr_onnx`
+
+install from pip
+```shell
+pip install --upgrade funasr_onnx -i https://pypi.Python.org/simple
+```
+
+or install from source code
+
```shell
git clone https://github.com/alibaba/FunASR.git && cd FunASR
-cd funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer
+cd funasr/runtime/python/onnxruntime
+python setup.py build
+python setup.py install
```
-2. Install the related packages.
- ```bash
- pip install -r requirements.txt
- ```
-3. Export the model.
-
- `Tips`: torch 1.11.0 is required.
- ```shell
- python -m funasr.export.export_model [model_name] [export_dir] [true]
- ```
- `model_name`: the model is to export.
-
- `export_dir`: the dir where the onnx is export.
-
- More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
-
-
- - `e.g.`, Export model from modelscope
- ```shell
- python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
- ```
- - `e.g.`, Export model from local path, the model'name must be `model.pb`.
- ```shell
- python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
- ```
-
-5. Run the demo.
+3. Run the demo.
- Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`.
- Input: wav formt file, support formats: `str, np.ndarray, List[str]`
- Output: `List[str]`: recognition result.
- Example:
```python
- from paraformer_onnx import Paraformer
+ from funasr_onnx import Paraformer
model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1)
@@ -59,17 +54,10 @@
print(result)
```
-## Speed
+## Performance benchmark
-Environment锛欼ntel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
-
-Test [wav, 5.53s, 100 times avg.](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav)
-
-| Backend | RTF |
-|:-------:|:-----------------:|
-| Pytorch | 0.110 |
-| Onnx | 0.038 |
-
+Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_onnx.md)
## Acknowledge
-1. We acknowledge [SWHL](https://github.com/RapidAI/RapidASR) for contributing the onnxruntime(python api).
+1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
+2. We acknowledge [SWHL](https://github.com/RapidAI/RapidASR) for contributing the onnxruntime (for paraformer model).
--
Gitblit v1.9.1