import os
|
import shutil
|
import argparse
|
from modelscope.pipelines import pipeline
|
from modelscope.utils.constant import Tasks
|
|
def modelscope_infer(args):
|
os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpuid)
|
inference_pipeline = pipeline(
|
task=Tasks.voice_activity_detection,
|
model=args.model,
|
output_dir=args.output_dir,
|
batch_size=args.batch_size,
|
)
|
inference_pipeline(audio_in=args.audio_in)
|
|
if __name__ == "__main__":
|
parser = argparse.ArgumentParser()
|
parser.add_argument('--model', type=str, default="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch")
|
parser.add_argument('--audio_in', type=str, default="./data/test/wav.scp")
|
parser.add_argument('--output_dir', type=str, default="./results/")
|
parser.add_argument('--batch_size', type=int, default=1)
|
parser.add_argument('--gpuid', type=str, default="0")
|
args = parser.parse_args()
|
modelscope_infer(args)
|
