Files
yovision/Brain/src/yovision_brain/decode/pipeline.py
T

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1.7 KiB
Python

"""Decoder selection independent of concrete codec libraries."""
from __future__ import annotations
from collections.abc import Iterable, Iterator
from itertools import chain
from yovision_brain.input import CancellationToken, InputPacket
from .models import DecodedFrame, DecoderBackend, DecoderError
from .raw_rgb import RawRGBDecoder
from .y4m import Y4MDecoder
class DecoderPipeline:
def __init__(self, backends: Iterable[DecoderBackend] | None = None) -> None:
selected = tuple(backends) if backends is not None else (RawRGBDecoder(), Y4MDecoder())
self._backends: dict[str, DecoderBackend] = {}
for backend in selected:
for media_format in backend.media_formats:
if media_format in self._backends:
raise ValueError(f"duplicate decoder for media format {media_format!r}")
self._backends[media_format] = backend
def decode(
self,
packets: Iterable[InputPacket],
cancellation: CancellationToken | None = None,
) -> Iterator[DecodedFrame]:
iterator = iter(packets)
if cancellation is not None and cancellation.cancelled:
return
try:
first = next(iterator)
except StopIteration:
return
backend = self._backends.get(first.media_format)
if backend is None:
raise DecoderError(f"no decoder registered for media format {first.media_format!r}")
yield from backend.decode(chain((first,), iterator), cancellation)
def decode_packets(
packets: Iterable[InputPacket],
cancellation: CancellationToken | None = None,
) -> Iterator[DecodedFrame]:
return DecoderPipeline().decode(packets, cancellation)