export

funasr/runtime/python/onnxruntime/funasr_onnx.egg-info/PKG-INFO

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+Metadata-Version: 2.1
+Name: funasr-onnx
+Version: 0.0.3
+Summary: FunASR: A Fundamental End-to-End Speech Recognition Toolkit
+Home-page: https://github.com/alibaba-damo-academy/FunASR.git
+Author: Speech Lab, Alibaba Group, China
+Author-email: funasr@list.alibaba-inc.com
+License: MIT
+Keywords: funasr,asr
+Platform: Any
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Description-Content-Type: text/markdown
+
+## Using funasr with ONNXRuntime
+
+
+### 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. 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/funasr_onnx
+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`.
+   - Input: wav formt file, support formats: `str, np.ndarray, List[str]`
+   - Output: `List[str]`: recognition result.
+   - Example:
+        ```python
+        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)
+
+        wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
+
+        result = model(wav_path)
+        print(result)
+        ```
+
+## Performance benchmark
+
+Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_onnx.md)
+
+## Acknowledge
+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).

funasr/runtime/python/onnxruntime/funasr_onnx.egg-info/SOURCES.txt

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+README.md
+setup.py
+funasr_onnx/__init__.py
+funasr_onnx/paraformer_bin.py
+funasr_onnx/punc_bin.py
+funasr_onnx/vad_bin.py
+funasr_onnx.egg-info/PKG-INFO
+funasr_onnx.egg-info/SOURCES.txt
+funasr_onnx.egg-info/dependency_links.txt
+funasr_onnx.egg-info/requires.txt
+funasr_onnx.egg-info/top_level.txt
+funasr_onnx/utils/__init__.py
+funasr_onnx/utils/e2e_vad.py
+funasr_onnx/utils/frontend.py
+funasr_onnx/utils/postprocess_utils.py
+funasr_onnx/utils/timestamp_utils.py
+funasr_onnx/utils/utils.py

funasr/runtime/python/onnxruntime/funasr_onnx.egg-info/dependency_links.txt

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+

funasr/runtime/python/onnxruntime/funasr_onnx.egg-info/requires.txt

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+librosa
+onnxruntime>=1.7.0
+scipy
+numpy>=1.19.3
+typeguard
+kaldi-native-fbank
+PyYAML>=5.1.2

funasr/runtime/python/onnxruntime/funasr_onnx.egg-info/top_level.txt

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+funasr_onnx