utils

Vonage Video Connector utils.

class pipecat.transports.vonage.utils.AudioProps(sample_rate: int, is_stereo: bool)[source]

Bases: object

Audio properties for normalization.

Parameters:

sample_rate – The sample rate of the audio.
is_stereo – Whether the audio is stereo (True) or mono (False).

sample_rate: int

is_stereo: bool

class pipecat.transports.vonage.utils.ImageFormat(*values)[source]

Bases: StrEnum

Enum for image formats.

PLANAR_YUV420 = 'PLANAR_YUV420'

PACKED_YUV444 = 'PACKED_YUV444'

RGB = 'RGB'

RGBA = 'RGBA'

BGR = 'BGR'

BGRA = 'BGRA'

pipecat.transports.vonage.utils.check_audio_data(buffer: bytes | memoryview, number_of_frames: int, number_of_channels: int) → None[source]: Check the audio sample width based on buffer size, number of frames and channels.

pipecat.transports.vonage.utils.process_audio_channels(audio: ndarray[tuple[Any, ...], dtype[int16]], current: AudioProps, target: AudioProps) → ndarray[tuple[Any, ...], dtype[int16]][source]: Normalize audio channels to the target properties.

async pipecat.transports.vonage.utils.process_audio(resampler: BaseAudioResampler, audio: ndarray[tuple[Any, ...], dtype[int16]], current: AudioProps, target: AudioProps) → ndarray[tuple[Any, ...], dtype[int16]][source]: Normalize audio to the target properties.

pipecat.transports.vonage.utils.image_colorspace_conversion(image: bytes, size: tuple[int, int], from_format: ImageFormat, to_format: ImageFormat) → bytes | None[source]: Convert image colorspace from one format to another.