# Tencent is pleased to support the open source community by making GNES available.
#
# Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# limitations under the License.
import numpy as np
from ..base import BaseAudioPreprocessor
from ..helper import get_video_length_from_raw, get_audio
from ...proto import array2blob
[docs]class AudioVanilla(BaseAudioPreprocessor):
def __init__(self, audio_interval: int,
sample_rate: int, *args, **kwargs):
super().__init__(*args, **kwargs)
self.audio_interval = audio_interval
self.sample_rate = sample_rate
[docs] def apply(self, doc: 'gnes_pb2.Document') -> None:
super().apply(doc)
if doc.raw_bytes:
audio = get_audio(doc.raw_bytes, self.sample_rate,
self.audio_interval, get_video_length_from_raw(doc.raw_bytes))
if len(audio) >= 1:
for ci, chunks in enumerate(audio):
c = doc.chunks.add()
c.doc_id = doc.doc_id
c.blob.CopyFrom(array2blob(np.array(chunks, dtype=np.float32)))
c.offset_1d = ci
c.weight = 1 / len(audio)
else:
self.logger.info('bad document: no audio extracted')
else:
self.logger.error('bad document: "raw_bytes" is empty!')