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2026-07-07 10:05:50 +08:00
parent fbe179ab53
commit 52636c91ae
2111 changed files with 1850012 additions and 14 deletions

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from .video_types import VideoFromFile, VideoFromComponents
__all__ = [
# Implementations
"VideoFromFile",
"VideoFromComponents",
]

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from av.container import InputContainer
from av.subtitles.stream import SubtitleStream
from fractions import Fraction
from typing import Optional
from .._input import AudioInput, VideoInput
import av
import io
import itertools
import json
import numpy as np
import math
import torch
from .._util import VideoContainer, VideoCodec, VideoComponents
import logging
def container_to_output_format(container_format: str | None) -> str | None:
"""
A container's `format` may be a comma-separated list of formats.
E.g., iso container's `format` may be `mov,mp4,m4a,3gp,3g2,mj2`.
However, writing to a file/stream with `av.open` requires a single format,
or `None` to auto-detect.
"""
if not container_format:
return None # Auto-detect
if "," not in container_format:
return container_format
formats = container_format.split(",")
return formats[0]
def get_open_write_kwargs(
dest: str | io.BytesIO, container_format: str, to_format: str | None
) -> dict:
"""Get kwargs for writing a `VideoFromFile` to a file/stream with `av.open`"""
open_kwargs = {
"mode": "w",
# If isobmff, preserve custom metadata tags (workflow, prompt, extra_pnginfo)
"options": {"movflags": "use_metadata_tags"},
}
is_write_to_buffer = isinstance(dest, io.BytesIO)
if is_write_to_buffer:
# Set output format explicitly, since it cannot be inferred from file extension
if to_format == VideoContainer.AUTO:
to_format = container_format.lower()
elif isinstance(to_format, str):
to_format = to_format.lower()
open_kwargs["format"] = container_to_output_format(to_format)
return open_kwargs
def video_stream_bit_depth(stream) -> int:
if stream is None or stream.format is None or not stream.format.components:
return 8
return max(component.bits for component in stream.format.components)
class VideoFromFile(VideoInput):
"""
Class representing video input from a file.
"""
def __init__(self, file: str | io.BytesIO, *, start_time: float=0, duration: float=0):
"""
Initialize the VideoFromFile object based off of either a path on disk or a BytesIO object
containing the file contents.
"""
self.__file = file
self.__start_time = start_time
self.__duration = duration
def get_stream_source(self) -> str | io.BytesIO:
"""
Return the underlying file source for efficient streaming.
This avoids unnecessary memory copies when the source is already a file path.
"""
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0)
return self.__file
def get_active_trim_window(self) -> tuple[float, float]:
start_time = self.__start_time
if start_time < 0:
start_time = max(self._get_raw_duration() + start_time, 0.0)
return float(start_time), float(self.__duration)
def get_dimensions(self) -> tuple[int, int]:
"""
Returns the dimensions of the video input.
Returns:
Tuple of (width, height)
"""
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0) # Reset the BytesIO object to the beginning
with av.open(self.__file, mode='r') as container:
for stream in container.streams:
if stream.type == 'video':
assert isinstance(stream, av.VideoStream)
return stream.width, stream.height
raise ValueError(f"No video stream found in file '{self.__file}'")
def get_bit_depth(self) -> int:
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0) # Reset the BytesIO object to the beginning
with av.open(self.__file, mode="r") as container:
video_stream = container.streams.video[0] if len(container.streams.video) > 0 else None
return video_stream_bit_depth(video_stream)
def get_duration(self) -> float:
"""
Returns the duration of the video in seconds.
Returns:
Duration in seconds
"""
raw_duration = self._get_raw_duration()
if self.__start_time < 0:
duration_from_start = min(raw_duration, -self.__start_time)
else:
duration_from_start = raw_duration - self.__start_time
if self.__duration:
return min(self.__duration, duration_from_start)
return duration_from_start
def _get_raw_duration(self) -> float:
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0)
with av.open(self.__file, mode="r") as container:
if container.duration is not None:
return float(container.duration / av.time_base)
# Fallback: calculate from frame count and frame rate
video_stream = next(
(s for s in container.streams if s.type == "video"), None
)
if video_stream and video_stream.frames and video_stream.average_rate:
return float(video_stream.frames / video_stream.average_rate)
# Last resort: decode frames to count them
if video_stream and video_stream.average_rate:
frame_count = 0
container.seek(0)
frame_iterator = (
container.decode(video_stream)
if video_stream.codec.capabilities & 0x100
else container.demux(video_stream)
)
for packet in frame_iterator:
frame_count += 1
if frame_count > 0:
return float(frame_count / video_stream.average_rate)
raise ValueError(f"Could not determine duration for file '{self.__file}'")
def get_frame_count(self) -> int:
"""
Returns the number of frames in the video without materializing them as
torch tensors.
"""
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0)
with av.open(self.__file, mode="r") as container:
video_stream = self._get_first_video_stream(container)
# 1. Prefer the frames field if available and usable
if (
video_stream.frames
and video_stream.frames > 0
and not self.__start_time
and not self.__duration
):
return int(video_stream.frames)
# 2. Try to estimate from duration and average_rate using only metadata
if (
getattr(video_stream, "duration", None) is not None
and getattr(video_stream, "time_base", None) is not None
and video_stream.average_rate
):
raw_duration = float(video_stream.duration * video_stream.time_base)
if self.__start_time < 0:
duration_from_start = min(raw_duration, -self.__start_time)
else:
duration_from_start = raw_duration - self.__start_time
duration_seconds = min(self.__duration, duration_from_start)
estimated_frames = int(round(duration_seconds * float(video_stream.average_rate)))
if estimated_frames > 0:
return estimated_frames
# 3. Last resort: decode frames and count them (streaming)
if self.__start_time < 0:
start_time = max(self._get_raw_duration() + self.__start_time, 0)
else:
start_time = self.__start_time
frame_count = 1
start_pts = int(start_time / video_stream.time_base)
end_pts = int((start_time + self.__duration) / video_stream.time_base)
container.seek(start_pts, stream=video_stream)
frame_iterator = (
container.decode(video_stream)
if video_stream.codec.capabilities & 0x100
else container.demux(video_stream)
)
for frame in frame_iterator:
if frame.pts >= start_pts:
break
else:
raise ValueError(f"Could not determine frame count for file '{self.__file}'\nNo frames exist for start_time {self.__start_time}")
for frame in frame_iterator:
if frame.pts >= end_pts:
break
frame_count += 1
return frame_count
def get_frame_rate(self) -> Fraction:
"""
Returns the average frame rate of the video using container metadata
without decoding all frames.
"""
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0)
with av.open(self.__file, mode="r") as container:
video_stream = self._get_first_video_stream(container)
# Preferred: use PyAV's average_rate (usually already a Fraction-like)
if video_stream.average_rate:
return Fraction(video_stream.average_rate)
# Fallback: estimate from frames + duration if available
if video_stream.frames and container.duration:
duration_seconds = float(container.duration / av.time_base)
if duration_seconds > 0:
return Fraction(video_stream.frames / duration_seconds).limit_denominator()
# Last resort: match get_components_internal default
return Fraction(1)
def get_container_format(self) -> str:
"""
Returns the container format of the video (e.g., 'mp4', 'mov', 'avi').
Returns:
Container format as string
"""
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0)
with av.open(self.__file, mode='r') as container:
return container.format.name
def get_components_internal(self, container: InputContainer) -> VideoComponents:
video_stream = self._get_first_video_stream(container)
if self.__start_time < 0:
start_time = max(self._get_raw_duration() + self.__start_time, 0)
else:
start_time = self.__start_time
# Get video frames
frames = []
audio_frames = []
alphas = None
start_pts = int(start_time / video_stream.time_base)
end_pts = int((start_time + self.__duration) / video_stream.time_base)
if start_pts != 0:
container.seek(start_pts, stream=video_stream)
image_format = 'gbrpf32le'
process_image_format = lambda a: a
align_graph = None
audio = None
streams = [video_stream]
has_first_audio_frame = False
checked_alpha = False
# Default to False so we decode until EOF if duration is 0
video_done = False
audio_done = True
if len(container.streams.audio):
audio_stream = container.streams.audio[-1]
streams += [audio_stream]
resampler = av.audio.resampler.AudioResampler(format='fltp')
audio_done = False
for packet in container.demux(*streams):
if video_done and audio_done:
break
if packet.stream.type == "video":
if video_done:
continue
try:
for frame in packet.decode():
if frame.pts < start_pts:
continue
if self.__duration and frame.pts >= end_pts:
video_done = True
break
if not checked_alpha:
alpha_channel = False
for comp in frame.format.components:
if comp.is_alpha or frame.format.name == "pal8":
alphas = []
alpha_channel = True
break
if frame.format.name in ("yuvj420p", "yuvj422p", "yuvj444p", "rgb24", "rgba", "pal8"):
process_image_format = lambda a: a.float() / 255.0
if alpha_channel:
image_format = 'rgba'
else:
image_format = 'rgb24'
else:
process_image_format = lambda a: a
if alpha_channel:
image_format = 'gbrapf32le'
else:
image_format = 'gbrpf32le'
checked_alpha = True
# Fix non-deterministic video decode when the video width is not a multiple of 32
# For non-yuvj pixel formats: most H.264/H.265 video and static images (e.g. lossy WebP via LoadImage)
# Pad both axes to a multiple of 32 and smear the border so the alignment padding never bleeds into the cropped edges
if image_format in ('gbrpf32le', 'gbrapf32le') and frame.width % 32 != 0:
if align_graph is None:
pad_w = ((frame.width + 31) // 32) * 32
pad_h = ((frame.height + 31) // 32) * 32
g = av.filter.Graph()
g_src = g.add_buffer(width=frame.width, height=frame.height,
format=frame.format.name, time_base=video_stream.time_base)
g_pad = g.add('pad', f'{pad_w}:{pad_h}:0:0')
g_fill = g.add('fillborders', f'left=0:right={pad_w - frame.width}:top=0:bottom={pad_h - frame.height}:mode=smear')
g_sink = g.add('buffersink')
g_src.link_to(g_pad)
g_pad.link_to(g_fill)
g_fill.link_to(g_sink)
g.configure()
align_graph = (g, g_src, g_sink)
align_graph[1].push(frame)
img = np.ascontiguousarray(align_graph[2].pull().to_ndarray(format=image_format)[:frame.height, :frame.width])
else:
img = frame.to_ndarray(format=image_format)
if frame.rotation != 0:
k = int(round(frame.rotation // 90))
img = np.rot90(img, k=k, axes=(0, 1)).copy()
if alphas is None:
frames.append(torch.from_numpy(img))
else:
frames.append(torch.from_numpy(img[..., :-1]))
alphas.append(torch.from_numpy(img[..., -1:]))
except av.error.InvalidDataError:
logging.info("pyav decode error")
elif packet.stream.type == "audio":
if audio_done:
continue
aframes = itertools.chain.from_iterable(
map(resampler.resample, packet.decode())
)
for frame in aframes:
if self.__duration and frame.time > start_time + self.__duration:
audio_done = True
break
if not has_first_audio_frame:
offset_seconds = start_time - frame.pts * audio_stream.time_base
to_skip = max(0, int(offset_seconds * audio_stream.sample_rate))
if to_skip < frame.samples:
has_first_audio_frame = True
audio_frames.append(frame.to_ndarray()[..., to_skip:])
else:
audio_frames.append(frame.to_ndarray())
images = process_image_format(torch.stack(frames)) if len(frames) > 0 else torch.zeros(0, 0, 0, 3)
if alphas is not None:
alphas = process_image_format(torch.stack(alphas)) if len(alphas) > 0 else torch.zeros(0, 0, 0, 1)
# Get frame rate
frame_rate = Fraction(video_stream.average_rate) if video_stream.average_rate else Fraction(1)
if len(audio_frames) > 0:
audio_data = np.concatenate(audio_frames, axis=1) # shape: (channels, total_samples)
if self.__duration:
audio_data = audio_data[..., :int(self.__duration * audio_stream.sample_rate)]
audio_tensor = torch.from_numpy(audio_data).unsqueeze(0) # shape: (1, channels, total_samples)
audio = AudioInput({
"waveform": audio_tensor,
"sample_rate": int(audio_stream.sample_rate) if audio_stream.sample_rate else 1,
})
metadata = container.metadata
return VideoComponents(images=images, alpha=alphas, audio=audio, frame_rate=frame_rate, metadata=metadata)
def get_components(self) -> VideoComponents:
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0) # Reset the BytesIO object to the beginning
with av.open(self.__file, mode='r') as container:
return self.get_components_internal(container)
raise ValueError(f"No video stream found in file '{self.__file}'")
def save_to(
self,
path: str | io.BytesIO,
format: VideoContainer = VideoContainer.AUTO,
codec: VideoCodec = VideoCodec.AUTO,
metadata: Optional[dict] = None,
bit_depth: int | None = None,
):
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0) # Reset the BytesIO object to the beginning
with av.open(self.__file, mode='r') as container:
container_format = container.format.name
video_stream = container.streams.video[0] if len(container.streams.video) > 0 else None
video_encoding = video_stream.codec.name if video_stream is not None else None
source_bit_depth = video_stream_bit_depth(video_stream)
reuse_streams = True
if format != VideoContainer.AUTO and format not in container_format.split(","):
reuse_streams = False
if codec != VideoCodec.AUTO and codec != video_encoding and video_encoding is not None:
reuse_streams = False
if bit_depth is not None and video_encoding is not None and bit_depth != source_bit_depth:
reuse_streams = False
if self.__start_time or self.__duration:
reuse_streams = False
if not reuse_streams:
if bit_depth is None:
bit_depth = source_bit_depth
components = self.get_components_internal(container)
video = VideoFromComponents(components)
return video.save_to(
path, format=format, codec=codec, metadata=metadata, bit_depth=bit_depth,
)
streams = container.streams
open_kwargs = get_open_write_kwargs(path, container_format, format)
with av.open(path, **open_kwargs) as output_container:
# Copy over the original metadata
for key, value in container.metadata.items():
if metadata is None or key not in metadata:
output_container.metadata[key] = value
# Add our new metadata
if metadata is not None:
for key, value in metadata.items():
if isinstance(value, str):
output_container.metadata[key] = value
else:
output_container.metadata[key] = json.dumps(value)
# Add streams to the new container
stream_map = {}
for stream in streams:
if isinstance(stream, (av.VideoStream, av.AudioStream, SubtitleStream)):
out_stream = output_container.add_stream_from_template(template=stream, opaque=True)
stream_map[stream] = out_stream
# Write packets to the new container
for packet in container.demux():
if packet.stream in stream_map and packet.dts is not None:
packet.stream = stream_map[packet.stream]
output_container.mux(packet)
def _get_first_video_stream(self, container: InputContainer):
if len(container.streams.video):
return container.streams.video[0]
raise ValueError(f"No video stream found in file '{self.__file}'")
def as_trimmed(
self, start_time: float = 0, duration: float = 0, strict_duration: bool = True
) -> VideoInput | None:
trimmed = VideoFromFile(
self.get_stream_source(),
start_time=start_time + self.__start_time,
duration=duration,
)
if trimmed.get_duration() < duration and strict_duration:
return None
return trimmed
class VideoFromComponents(VideoInput):
"""
Class representing video input from tensors.
"""
def __init__(self, components: VideoComponents, bit_depth: int = 8):
self.__components = components
# Tensor components have no inherent bit depth; this is the depth used when encoding.
self.__bit_depth = bit_depth
def get_components(self) -> VideoComponents:
return VideoComponents(
images=self.__components.images,
audio=self.__components.audio,
frame_rate=self.__components.frame_rate,
)
def get_bit_depth(self) -> int:
return self.__bit_depth
def save_to(
self,
path: str,
format: VideoContainer = VideoContainer.AUTO,
codec: VideoCodec = VideoCodec.AUTO,
metadata: Optional[dict] = None,
bit_depth: int | None = None,
):
"""Save the video to a file path or BytesIO buffer."""
if format != VideoContainer.AUTO and format != VideoContainer.MP4:
raise ValueError("Only MP4 format is supported for now")
if codec != VideoCodec.AUTO and codec != VideoCodec.H264:
raise ValueError("Only H264 codec is supported for now")
# None means "use the depth this video was created with" (CreateVideo's choice).
if bit_depth is None:
bit_depth = self.__bit_depth
is_10bit = bit_depth >= 10
extra_kwargs = {}
if isinstance(format, VideoContainer) and format != VideoContainer.AUTO:
extra_kwargs["format"] = format.value
elif isinstance(path, io.BytesIO):
# BytesIO has no file extension, so av.open can't infer the format.
# Default to mp4 since that's the only supported format anyway.
extra_kwargs["format"] = "mp4"
with av.open(path, mode='w', options={'movflags': 'use_metadata_tags'}, **extra_kwargs) as output:
# Add metadata before writing any streams
if metadata is not None:
for key, value in metadata.items():
output.metadata[key] = json.dumps(value)
frame_rate = Fraction(round(self.__components.frame_rate * 1000), 1000)
# Create a video stream
pix_fmt = "yuv420p10le" if is_10bit else "yuv420p"
video_stream = output.add_stream('h264', rate=frame_rate)
video_stream.width = self.__components.images.shape[2]
video_stream.height = self.__components.images.shape[1]
video_stream.pix_fmt = pix_fmt
# Create an audio stream
audio_sample_rate = 1
audio_stream: Optional[av.AudioStream] = None
if self.__components.audio:
audio_sample_rate = int(self.__components.audio['sample_rate'])
waveform = self.__components.audio['waveform']
waveform = waveform[0, :, :math.ceil((audio_sample_rate / frame_rate) * self.__components.images.shape[0])]
layout = {1: 'mono', 2: 'stereo', 6: '5.1'}.get(waveform.shape[0], 'stereo')
audio_stream = output.add_stream('aac', rate=audio_sample_rate, layout=layout)
# Encode video
for i, frame in enumerate(self.__components.images):
if is_10bit:
# 16-bit RGB keeps float precision through the conversion to 10-bit YUV.
img = (frame.float() * 65535).clamp(0, 65535).cpu().numpy().astype(np.uint16) # shape: (H, W, 3)
frame = av.VideoFrame.from_ndarray(img, format="rgb48le")
else:
img = (frame * 255).clamp(0, 255).byte().cpu().numpy() # shape: (H, W, 3)
frame = av.VideoFrame.from_ndarray(img, format='rgb24')
frame = frame.reformat(format=pix_fmt)
packet = video_stream.encode(frame)
output.mux(packet)
# Flush video
packet = video_stream.encode(None)
output.mux(packet)
if audio_stream and self.__components.audio:
frame = av.AudioFrame.from_ndarray(waveform.float().cpu().contiguous().numpy(), format='fltp', layout=layout)
frame.sample_rate = audio_sample_rate
frame.pts = 0
output.mux(audio_stream.encode(frame))
# Flush encoder
output.mux(audio_stream.encode(None))
def as_trimmed(
self,
start_time: float | None = None,
duration: float | None = None,
strict_duration: bool = True,
) -> VideoInput | None:
if self.get_duration() < start_time + duration:
return None
#TODO Consider tracking duration and trimming at time of save?
return VideoFromFile(self.get_stream_source(), start_time=start_time, duration=duration)