7e520f9cc4
Signed-off-by: specture724 <specture724@gmail.com> Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
449 lines
16 KiB
Python
449 lines
16 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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"""Video/audio muxing utilities using PyAV (no ffmpeg binary dependency)."""
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from __future__ import annotations
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import io
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import queue
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import threading
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from collections.abc import Iterable, Mapping
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from fractions import Fraction
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from typing import Any, cast
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import av
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import numpy as np
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_CHUNKED_MP4_DONE = object()
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def normalize_preencode_batch_frames(value: Any) -> int:
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"""Validate the request's MP4 transfer/encoding batch threshold."""
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if isinstance(value, bool) or not isinstance(value, int) or value <= 0:
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raise ValueError("preencode_batch_frames must be a positive integer")
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return value
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def normalize_video_codec_options(value: Any) -> dict[str, str] | None:
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"""Coerce a request's ``video_codec_options`` into PyAV's str->str contract.
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The value reaches a worker straight from ``extra_params``, so reject a
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non-mapping here rather than letting it fail inside the encoder after the
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decode has already run.
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"""
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if value is None:
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return None
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if not isinstance(value, Mapping):
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raise ValueError("video_codec_options must be a JSON object of encoder option names to values")
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return {str(key): str(item) for key, item in value.items()}
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def _validate_video_chunk(chunk: np.ndarray, *, width: int, height: int) -> None:
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"""Validate a ``(T, H, W, 3)`` uint8 RGB chunk against a session's frame size."""
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if chunk.ndim != 4 or chunk.shape[-1] != 3:
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raise ValueError("video chunk must have shape (T, H, W, 3)")
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if chunk.dtype != np.uint8:
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raise ValueError("video chunk must have dtype uint8")
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if chunk.shape[1] != height or chunk.shape[2] != width:
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raise ValueError("video chunks in a session must use a consistent frame size")
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class ChunkedMP4Encoder:
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"""Encode temporal video chunks while the producer is still decoding.
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A bounded queue and one muxing worker provide ordered backpressure while
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keeping host memory bounded by ``max_pending`` chunks. Chunks use the same
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``(T, H, W, 3)`` uint8 contract as :func:`mux_video_audio_bytes`.
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"""
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def __init__(
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self,
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*,
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width: int,
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height: int,
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fps: float,
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audio_waveform: np.ndarray | None = None,
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audio_sample_rate: int | None = None,
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max_pending: int = 2,
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video_codec: str = "h264",
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audio_codec: str = "aac",
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crf: str = "18",
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video_codec_options: dict[str, str] | None = None,
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) -> None:
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if max_pending <= 0:
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raise ValueError("max_pending must be positive")
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if width <= 0 or height <= 0:
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raise ValueError("width and height must be positive")
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self.width = int(width)
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self.height = int(height)
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self._queue: queue.Queue[object] = queue.Queue(maxsize=max_pending)
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self._result: bytes | None = None
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self._error: BaseException | None = None
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self._closed = False
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self._aborted = False
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self._input_done = False
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self._state_lock = threading.Lock()
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def run() -> None:
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try:
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self._result = mux_av_video_audio_bytes(
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self._frames(),
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width=self.width,
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height=self.height,
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audio_waveform=audio_waveform,
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fps=fps,
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audio_sample_rate=audio_sample_rate,
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video_codec=video_codec,
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audio_codec=audio_codec,
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crf=crf,
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video_codec_options=video_codec_options,
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)
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except BaseException as exc:
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self._error = exc
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self._drain_until_done()
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self._thread = threading.Thread(target=run, name="chunked-mp4", daemon=True)
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self._thread.start()
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def _drain_until_done(self) -> None:
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# A flush/mux failure can occur after _frames consumed the sentinel.
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if not self._input_done:
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while self._queue.get() is not _CHUNKED_MP4_DONE:
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pass
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def _frames(self):
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while True:
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chunk = self._queue.get()
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if chunk is _CHUNKED_MP4_DONE:
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self._input_done = True
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return
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assert isinstance(chunk, np.ndarray)
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for frame_data in chunk:
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yield av.VideoFrame.from_ndarray(frame_data, format="rgb24")
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def _validate_chunk(self, chunk: np.ndarray) -> None:
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_validate_video_chunk(chunk, width=self.width, height=self.height)
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def _raise_if_failed(self) -> None:
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if self._error is not None:
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raise self._error
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if self._closed:
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raise RuntimeError("ChunkedMP4Encoder is already closed")
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def push(self, chunk: np.ndarray) -> None:
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"""Queue a chunk; asynchronous failures surface here or at finish()."""
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self._validate_chunk(chunk)
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self._raise_if_failed()
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self._queue.put(chunk)
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self._raise_if_failed()
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def _send_done(self) -> None:
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self._queue.put(_CHUNKED_MP4_DONE)
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def finish(self) -> bytes:
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"""Flush the muxer and return complete progressive MP4 bytes."""
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with self._state_lock:
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if not self._closed:
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self._closed = True
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self._send_done()
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self._thread.join()
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if self._error is not None:
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raise self._error
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if self._aborted:
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raise RuntimeError("ChunkedMP4Encoder was aborted")
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assert self._result is not None
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return self._result
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def abort(self) -> None:
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"""Discard pending chunks and join the worker after cancellation.
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Any chunk already being encoded must finish before the worker exits.
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"""
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with self._state_lock:
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if not self._closed:
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self._closed = True
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self._aborted = True
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while True:
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try:
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self._queue.get_nowait()
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except queue.Empty:
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break
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self._send_done()
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self._thread.join()
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close = finish
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def __enter__(self) -> ChunkedMP4Encoder:
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return self
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def __exit__(self, exc_type, exc, tb) -> None:
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if exc_type is None:
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self.finish()
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else:
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self.abort()
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class FragmentedMP4Muxer:
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"""Incrementally mux video frames into one fragmented MP4 byte stream."""
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def __init__(
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self,
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*,
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width: int,
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height: int,
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fps: float = 25.0,
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video_codec: str = "h264",
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crf: str = "18",
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video_codec_options: dict[str, str] | None = None,
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) -> None:
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self._buf = io.BytesIO()
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self._closed = False
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self._container = av.open(
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self._buf,
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mode="w",
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format="mp4",
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options={"movflags": "+frag_every_frame+empty_moov+default_base_moof"},
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)
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self._stream: av.VideoStream = cast(
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av.VideoStream,
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self._container.add_stream(video_codec, rate=Fraction(fps).limit_denominator(10000)),
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)
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self._stream.width = width
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self._stream.height = height
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self._stream.pix_fmt = "yuv420p"
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options: dict[str, object] = {"crf": str(crf)}
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if video_codec_options:
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options.update(video_codec_options)
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self._stream.options = options
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try:
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self._stream.codec_context.max_b_frames = 0
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except AttributeError:
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pass
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def mux_video_frames(self, video_frames: np.ndarray) -> bytes:
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"""Mux a batch of ``uint8`` RGB frames and return newly written MP4 bytes."""
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if self._closed:
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raise RuntimeError("Cannot mux frames after FragmentedMP4Muxer.close().")
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_validate_video_chunk(video_frames, width=self._stream.width, height=self._stream.height)
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for frame_data in video_frames:
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frame = av.VideoFrame.from_ndarray(frame_data, format="rgb24")
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for packet in self._stream.encode(frame):
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self._container.mux(packet)
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return self._read_new_bytes()
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def close(self) -> bytes:
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"""Flush delayed encoder packets, close the container, and return final bytes."""
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if self._closed:
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return b""
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for packet in self._stream.encode():
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self._container.mux(packet)
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self._container.close()
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self._closed = True
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return self._read_new_bytes()
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def _read_new_bytes(self) -> bytes:
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"""Return newly muxed bytes in the current video container,
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then clear the buffer to prepare for the next chunk."""
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chunk = self._buf.getvalue()
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self._buf.seek(0)
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self._buf.truncate()
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return chunk
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def count_mp4_frames(video_bytes: bytes) -> int | None:
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"""Read an MP4's frame count from its sample table, without decoding it."""
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if not video_bytes:
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return None
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try:
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with cast(Any, av.open(io.BytesIO(video_bytes), format="mp4")) as container:
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frames = int(container.streams.video[0].frames)
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except Exception:
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return None
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return frames or None
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def finalize_streaming_video_bytes(
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video_bytes: bytes,
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*,
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input_format: str,
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fps: float = 25.0,
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video_codec_options: dict[str, str] | None = None,
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) -> bytes:
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"""Convert streamed video bytes into a progressive MP4 for local playback."""
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if not video_bytes:
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return video_bytes
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normalized_format = input_format.lower()
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if normalized_format == "m4s":
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demux_format = "mp4"
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else:
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raise ValueError(f"Unsupported streaming video format: {input_format}")
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try:
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with cast(Any, av.open(io.BytesIO(video_bytes), format=demux_format)) as container:
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stream = container.streams.video[0]
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frame_arrays = [frame.to_ndarray(format="rgb24") for frame in container.decode(stream)]
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except Exception:
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return video_bytes
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if not frame_arrays:
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return video_bytes
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frames_u8 = np.ascontiguousarray(np.stack(frame_arrays, axis=0), dtype=np.uint8)
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return mux_video_audio_bytes(
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frames_u8,
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None,
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fps=float(fps),
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video_codec_options=video_codec_options,
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)
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def mux_video_audio_bytes(
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video_frames: np.ndarray,
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audio_waveform: np.ndarray | None = None,
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*,
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fps: float = 25.0,
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audio_sample_rate: int = 44100,
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video_codec: str = "h264",
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audio_codec: str = "aac",
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crf: str = "18",
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video_codec_options: dict[str, str] | None = None,
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) -> bytes:
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"""Mux video frames and optional audio waveform into MP4 bytes.
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Args:
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video_frames: uint8 array of shape ``(T, H, W, 3)`` (RGB).
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audio_waveform: float32 array – mono ``(N,)`` or ``(N, C)`` / ``(C, N)``.
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fps: Video frame rate.
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audio_sample_rate: Audio sample rate in Hz.
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video_codec: Video codec name.
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audio_codec: Audio codec name.
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crf: Constant rate factor for the video encoder.
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Returns:
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Raw MP4 bytes ready to be written to disk or streamed.
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"""
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buf = io.BytesIO()
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container = av.open(buf, mode="w", format="mp4")
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v_stream = cast(av.VideoStream, container.add_stream(video_codec, rate=Fraction(fps).limit_denominator(10000)))
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v_stream.width = video_frames.shape[2]
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v_stream.height = video_frames.shape[1]
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v_stream.pix_fmt = "yuv420p"
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options: dict[str, object] = {"crf": str(crf)}
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if video_codec_options:
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options.update(video_codec_options)
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v_stream.options = options
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a_stream: av.AudioStream | None = None
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samples: np.ndarray | None = None
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layout: str | None = None
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if audio_waveform is not None:
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samples = audio_waveform.astype(np.float32)
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if samples.ndim == 1:
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samples = samples.reshape(1, -1)
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elif samples.ndim == 2 and samples.shape[0] > samples.shape[1]:
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samples = np.ascontiguousarray(samples.T)
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num_channels = samples.shape[0]
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layout = "stereo" if num_channels >= 2 else "mono"
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a_stream = cast(av.AudioStream, container.add_stream(audio_codec, rate=audio_sample_rate))
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a_stream.layout = layout
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for frame_data in video_frames:
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frame = av.VideoFrame.from_ndarray(frame_data, format="rgb24")
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for packet in v_stream.encode(frame):
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container.mux(packet)
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for packet in v_stream.encode():
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container.mux(packet)
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if a_stream is not None and audio_waveform is not None:
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if samples is None or layout is None:
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raise ValueError("Audio samples were not prepared for muxing.")
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audio_frame = av.AudioFrame.from_ndarray(samples, format="fltp", layout=layout)
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audio_frame.sample_rate = audio_sample_rate
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# AAC has a one-frame encoder delay. Mark the input waveform as
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# starting at t=0 so the MP4 muxer writes the corresponding negative
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# priming timestamp instead of exposing the delay as leading silence.
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audio_frame.pts = 0
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audio_frame.time_base = Fraction(1, audio_sample_rate)
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for packet in a_stream.encode(audio_frame):
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container.mux(packet)
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for packet in a_stream.encode():
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container.mux(packet)
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container.close()
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return buf.getvalue()
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def mux_av_video_audio_bytes(
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video_frames: Iterable[av.VideoFrame],
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width: int,
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height: int,
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audio_waveform: np.ndarray | None = None,
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*,
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fps: float = 25.0,
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audio_sample_rate: int | None = None,
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video_codec: str = "h264",
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audio_codec: str = "aac",
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crf: str = "18",
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video_codec_options: dict[str, str] | None = None,
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) -> bytes:
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"""Mux preconstructed video frames and optional audio into MP4 bytes."""
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buf = io.BytesIO()
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with cast(Any, av.open(buf, mode="w", format="mp4")) as container:
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v_stream = cast(
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av.VideoStream,
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container.add_stream(video_codec, rate=Fraction(fps).limit_denominator(10000)),
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)
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v_stream.width = width
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v_stream.height = height
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v_stream.pix_fmt = "yuv420p"
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options: dict[str, object] = {"crf": str(crf)}
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if video_codec_options:
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options.update(video_codec_options)
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v_stream.options = options
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a_stream: av.AudioStream | None = None
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samples: np.ndarray | None = None
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layout: str | None = None
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if audio_waveform is not None:
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effective_audio_sample_rate = 44100 if audio_sample_rate is None else audio_sample_rate
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samples = audio_waveform.astype(np.float32)
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if samples.ndim == 1:
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samples = samples.reshape(1, -1)
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elif samples.ndim == 2 and samples.shape[0] > samples.shape[1]:
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samples = np.ascontiguousarray(samples.T)
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num_channels = samples.shape[0]
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layout = "stereo" if num_channels >= 2 else "mono"
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a_stream = cast(av.AudioStream, container.add_stream(audio_codec, rate=effective_audio_sample_rate))
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a_stream.layout = layout
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for frame in video_frames:
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for packet in v_stream.encode(frame):
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container.mux(packet)
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for packet in v_stream.encode():
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container.mux(packet)
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if a_stream is not None and audio_waveform is not None:
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if samples is None or layout is None:
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raise ValueError("Audio samples were not prepared for muxing.")
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audio_frame = av.AudioFrame.from_ndarray(samples, format="fltp", layout=layout)
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audio_frame.sample_rate = effective_audio_sample_rate
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# AAC has a one-frame encoder delay. Mark the input waveform as
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# starting at t=0 so the MP4 muxer writes the corresponding negative
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# priming timestamp instead of exposing the delay as leading silence.
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audio_frame.pts = 0
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audio_frame.time_base = Fraction(1, effective_audio_sample_rate)
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for packet in a_stream.encode(audio_frame):
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container.mux(packet)
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for packet in a_stream.encode():
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container.mux(packet)
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return buf.getvalue()
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