from .utils_vad import init_jit_model, OnnxWrapper
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import torch
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torch.set_num_threads(1)
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def load_silero_vad(onnx=False, opset_version=16):
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available_ops = [15, 16]
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if onnx and opset_version not in available_ops:
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raise Exception(f'Available ONNX opset_version: {available_ops}')
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if onnx:
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if opset_version == 16:
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model_name = 'silero_vad.onnx'
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else:
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model_name = f'silero_vad_16k_op{opset_version}.onnx'
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else:
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model_name = 'silero_vad.jit'
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package_path = "silero_vad.data"
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try:
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import importlib_resources as impresources
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model_file_path = str(impresources.files(package_path).joinpath(model_name))
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except:
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from importlib import resources as impresources
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try:
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with impresources.path(package_path, model_name) as f:
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model_file_path = f
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except:
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model_file_path = str(impresources.files(package_path).joinpath(model_name))
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if onnx:
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model = OnnxWrapper(model_file_path, force_onnx_cpu=True)
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else:
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model = init_jit_model(model_file_path)
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return model
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