嘉渊
2023-04-24 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1
funasr/runtime/python/onnxruntime/README.md
@@ -21,11 +21,21 @@
         ```
2. Install the `funasr_onnx`.
2. Install the `funasr_onnx`
install from pip
```shell
pip install funasr_onnx -i https://pypi.Python.org/simple
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
python setup.py build
python setup.py install
```
3. Run the demo.
   - Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`.
@@ -44,17 +54,10 @@
        print(result)
        ```
## Speed
## Performance benchmark
Environment:Intel(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).