mirror of
https://github.com/HiMeditator/auto-caption.git
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1c0bf1f9c4
- 更新虚拟环境目录名为 .venv - 调整音频块采集速率默认值为 10 - 为 AudioStream 类添加重设音频块大小的方法 - 更新依赖文件 requirements.txt
109 lines
3.6 KiB
Python
109 lines
3.6 KiB
Python
"""获取 MacOS 系统音频输入/输出流"""
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import pyaudio
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from textwrap import dedent
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def get_blackhole_device(mic: pyaudio.PyAudio):
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"""
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获取 BlackHole 设备
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"""
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device_count = mic.get_device_count()
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for i in range(device_count):
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dev_info = mic.get_device_info_by_index(i)
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if 'blackhole' in str(dev_info["name"]).lower():
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return dev_info
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raise Exception("The device containing BlackHole was not found.")
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class AudioStream:
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"""
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获取系统音频流（如果要捕获输出音频，仅支持 BlackHole 作为系统音频输出捕获）
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初始化参数：
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audio_type: 0-系统音频输出流（需配合 BlackHole），1-系统音频输入流
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chunk_rate: 每秒采集音频块的数量，默认为10
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"""
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def __init__(self, audio_type=0, chunk_rate=10):
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self.audio_type = audio_type
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self.mic = pyaudio.PyAudio()
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if self.audio_type == 0:
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self.device = get_blackhole_device(self.mic)
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else:
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self.device = self.mic.get_default_input_device_info()
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self.stop_signal = False
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self.stream = None
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self.INDEX = self.device["index"]
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self.FORMAT = pyaudio.paInt16
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self.SAMP_WIDTH = pyaudio.get_sample_size(self.FORMAT)
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self.CHANNELS = int(self.device["maxInputChannels"])
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self.RATE = int(self.device["defaultSampleRate"])
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self.CHUNK = self.RATE // chunk_rate
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def reset_chunk_size(self, chunk_size: int):
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"""
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重新设置音频块大小
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"""
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self.CHUNK = chunk_size
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def get_info(self):
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dev_info = f"""
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采样设备：
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- 设备类型：{ "音频输出" if self.audio_type == 0 else "音频输入" }
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- 设备序号：{self.device['index']}
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- 设备名称：{self.device['name']}
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- 最大输入通道数：{self.device['maxInputChannels']}
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- 默认低输入延迟：{self.device['defaultLowInputLatency']}s
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- 默认高输入延迟：{self.device['defaultHighInputLatency']}s
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- 默认采样率：{self.device['defaultSampleRate']}Hz
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- 是否回环设备：{self.device['isLoopbackDevice']}
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设备序号：{self.INDEX}
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样本格式：{self.FORMAT}
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样本位宽：{self.SAMP_WIDTH}
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样本通道数：{self.CHANNELS}
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样本采样率：{self.RATE}
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样本块大小：{self.CHUNK}
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"""
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return dedent(dev_info).strip()
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def open_stream(self):
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"""
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打开并返回系统音频输出流
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"""
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if self.stream: return self.stream
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self.stream = self.mic.open(
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format = self.FORMAT,
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channels = int(self.CHANNELS),
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rate = self.RATE,
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input = True,
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input_device_index = int(self.INDEX)
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)
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return self.stream
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def read_chunk(self):
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"""
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读取音频数据
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"""
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if self.stop_signal:
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self.close_stream()
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return None
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if not self.stream: return None
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return self.stream.read(self.CHUNK, exception_on_overflow=False)
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def close_stream_signal(self):
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"""
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线程安全的关闭系统音频输入流，不一定会立即关闭
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"""
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self.stop_signal = True
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def close_stream(self):
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"""
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立即关闭系统音频输入流
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"""
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if self.stream is not None:
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self.stream.stop_stream()
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self.stream.close()
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self.stream = None
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self.stop_signal = False
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