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Base TrimVideo implementation
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@ -34,6 +34,16 @@ class VideoInput(ABC):
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"""
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pass
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@abstractmethod
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def as_trimmed(self, start_time: float|None=None, duration: float|None=None) -> VideoInput|None:
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"""
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Create a new VideoInput which is trimmed to have the corresponding start_time and duration
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Returns:
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A new VideoInput, or None if the result would have negative duration
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"""
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pass
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def get_stream_source(self) -> Union[str, io.BytesIO]:
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"""
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Get a streamable source for the video. This allows processing without
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@ -6,6 +6,7 @@ from typing import Optional
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from .._input import AudioInput, VideoInput
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import av
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import io
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import itertools
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import json
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import numpy as np
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import math
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@ -29,7 +30,6 @@ def container_to_output_format(container_format: str | None) -> str | None:
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formats = container_format.split(",")
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return formats[0]
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def get_open_write_kwargs(
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dest: str | io.BytesIO, container_format: str, to_format: str | None
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) -> dict:
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@ -57,12 +57,17 @@ class VideoFromFile(VideoInput):
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Class representing video input from a file.
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"""
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def __init__(self, file: str | io.BytesIO):
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def __init__(self, file: str | io.BytesIO, *, start_time: float=0, duration: float=0):
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"""
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Initialize the VideoFromFile object based off of either a path on disk or a BytesIO object
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containing the file contents.
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"""
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self.__file = file
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self.__start_time = start_time
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self.__duration = duration
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if self.get_duration() < duration:
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raise ValueError(f"Can not initialize video of negative duration:\nSource duration: {self.get_duration()}\nStart time: {start_time}\nTarget duration: {duration}")
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self.__duration = duration
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def get_stream_source(self) -> str | io.BytesIO:
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"""
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@ -96,18 +101,20 @@ class VideoFromFile(VideoInput):
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Returns:
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Duration in seconds
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"""
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if self.__duration:
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return self.__duration
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if isinstance(self.__file, io.BytesIO):
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self.__file.seek(0)
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with av.open(self.__file, mode="r") as container:
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if container.duration is not None:
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return float(container.duration / av.time_base)
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return float(container.duration / av.time_base) - self.__start_time
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# Fallback: calculate from frame count and frame rate
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video_stream = next(
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(s for s in container.streams if s.type == "video"), None
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)
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if video_stream and video_stream.frames and video_stream.average_rate:
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return float(video_stream.frames / video_stream.average_rate)
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return float(video_stream.frames / video_stream.average_rate) - self.start_time
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# Last resort: decode frames to count them
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if video_stream and video_stream.average_rate:
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@ -117,7 +124,7 @@ class VideoFromFile(VideoInput):
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for _ in packet.decode():
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frame_count += 1
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if frame_count > 0:
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return float(frame_count / video_stream.average_rate)
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return float(frame_count / video_stream.average_rate) - self.start_time
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raise ValueError(f"Could not determine duration for file '{self.__file}'")
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@ -132,12 +139,14 @@ class VideoFromFile(VideoInput):
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with av.open(self.__file, mode="r") as container:
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video_stream = self._get_first_video_stream(container)
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# 1. Prefer the frames field if available
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if video_stream.frames and video_stream.frames > 0:
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if video_stream.frames and video_stream.frames > 0 and not self.__start_time and not self.__duration:
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return int(video_stream.frames)
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if self.__duration:
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return self.__duration / float(video_stream.average_rate)
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# 2. Try to estimate from duration and average_rate using only metadata
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if container.duration is not None and video_stream.average_rate:
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duration_seconds = float(container.duration / av.time_base)
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duration_seconds = float(container.duration / av.time_base) - self.__start_time
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estimated_frames = int(round(duration_seconds * float(video_stream.average_rate)))
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if estimated_frames > 0:
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return estimated_frames
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@ -147,20 +156,23 @@ class VideoFromFile(VideoInput):
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and getattr(video_stream, "time_base", None) is not None
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and video_stream.average_rate
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):
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duration_seconds = float(video_stream.duration * video_stream.time_base)
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duration_seconds = float(video_stream.duration * video_stream.time_base) - self.start_time
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estimated_frames = int(round(duration_seconds * float(video_stream.average_rate)))
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if estimated_frames > 0:
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return estimated_frames
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# 3. Last resort: decode frames and count them (streaming)
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frame_count = 0
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container.seek(0)
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for packet in container.demux(video_stream):
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for _ in packet.decode():
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frame_count += 1
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if frame_count == 0:
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raise ValueError(f"Could not determine frame count for file '{self.__file}'")
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frame_count = 1
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start_pts = int(self.__start_time / video_stream.time_base)
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container.seek(start_pts, stream=video_stream)
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frame_iterator = container.decode(video_stream)
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for frame in frame_iterator:
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if frame.pts >= start_pts:
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break
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else:
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raise ValueError(f"Could not determine frame count for file '{self.__file}'\nNo frames exist for start_time {self.__start_time}")
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for frame in frame_iterator:
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frame_count += 1
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return frame_count
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def get_frame_rate(self) -> Fraction:
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@ -199,9 +211,17 @@ class VideoFromFile(VideoInput):
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return container.format.name
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def get_components_internal(self, container: InputContainer) -> VideoComponents:
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video_stream = container.streams.video[0]
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# Get video frames
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frames = []
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for frame in container.decode(video=0):
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start_pts = int(self.__start_time / video_stream.time_base)
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end_pts = int((self.__start_time + self.__duration) / video_stream.time_base)
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container.seek(start_pts, stream=video_stream)
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for frame in container.decode(video_stream):
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if frame.pts < start_pts:
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continue
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if self.__duration and frame.pts >= end_pts:
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break
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img = frame.to_ndarray(format='rgb24') # shape: (H, W, 3)
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img = torch.from_numpy(img) / 255.0 # shape: (H, W, 3)
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frames.append(img)
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@ -209,31 +229,43 @@ class VideoFromFile(VideoInput):
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images = torch.stack(frames) if len(frames) > 0 else torch.zeros(0, 3, 0, 0)
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# Get frame rate
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video_stream = next(s for s in container.streams if s.type == 'video')
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frame_rate = Fraction(video_stream.average_rate) if video_stream and video_stream.average_rate else Fraction(1)
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frame_rate = Fraction(video_stream.average_rate) if video_stream.average_rate else Fraction(1)
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# Get audio if available
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audio = None
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try:
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container.seek(0) # Reset the container to the beginning
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for stream in container.streams:
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if stream.type != 'audio':
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continue
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assert isinstance(stream, av.AudioStream)
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audio_frames = []
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for packet in container.demux(stream):
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for frame in packet.decode():
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assert isinstance(frame, av.AudioFrame)
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audio_frames.append(frame.to_ndarray()) # shape: (channels, samples)
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if len(audio_frames) > 0:
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audio_data = np.concatenate(audio_frames, axis=1) # shape: (channels, total_samples)
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audio_tensor = torch.from_numpy(audio_data).unsqueeze(0) # shape: (1, channels, total_samples)
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audio = AudioInput({
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"waveform": audio_tensor,
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"sample_rate": int(stream.sample_rate) if stream.sample_rate else 1,
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})
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except StopIteration:
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pass # No audio stream
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container.seek(start_pts, stream=video_stream)
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# Use last stream for consistency
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audio_stream = container.streams.audio[-1]
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if audio_stream:
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audio_frames = []
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resample = av.audio.resampler.AudioResampler(format='fltp').resample
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frames = itertools.chain.from_iterable(
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map(resample, container.decode(audio_stream)))
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has_first_frame = False
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for frame in frames:
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offset_seconds = self.__start_time - frame.pts * audio_stream.time_base
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to_skip = int(offset_seconds * audio_stream.sample_rate)
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if to_skip < frame.samples:
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has_first_frame = True
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break
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if has_first_frame:
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audio_frames.append(frame.to_ndarray()[...,to_skip:])
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for frame in frames:
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if frame.time > self.__start_time + self.__duration:
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break
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audio_frames.append(frame.to_ndarray()) # shape: (channels, samples)
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if len(audio_frames) > 0:
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audio_data = np.concatenate(audio_frames, axis=1) # shape: (channels, total_samples)
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if self.__duration:
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audio_data = audio_data[..., :int(self.__duration * audio_stream.sample_rate)]
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audio_tensor = torch.from_numpy(audio_data).unsqueeze(0) # shape: (1, channels, total_samples)
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audio = AudioInput({
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"waveform": audio_tensor,
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"sample_rate": int(audio_stream.sample_rate) if audio_stream.sample_rate else 1,
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})
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metadata = container.metadata
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return VideoComponents(images=images, audio=audio, frame_rate=frame_rate, metadata=metadata)
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@ -262,6 +294,8 @@ class VideoFromFile(VideoInput):
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reuse_streams = False
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if codec != VideoCodec.AUTO and codec != video_encoding and video_encoding is not None:
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reuse_streams = False
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if self.__start_time or self.__duration:
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reuse_streams = False
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if not reuse_streams:
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components = self.get_components_internal(container)
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@ -309,6 +343,11 @@ class VideoFromFile(VideoInput):
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raise ValueError(f"No video stream found in file '{self.__file}'")
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return video_stream
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def as_trimmed(self, start_time: float=0, duration: float=0) -> VideoInput|None:
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if self.get_duration() < start_time + duration:
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return None
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return VideoFromFile(self.get_stream_source(), start_time=start_time + self.__start_time, duration=duration + self.__duration)
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class VideoFromComponents(VideoInput):
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"""
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@ -381,3 +420,8 @@ class VideoFromComponents(VideoInput):
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# Flush encoder
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output.mux(audio_stream.encode(None))
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def as_trimmed(self, start_time: float|None=None, duration: float|None=None) -> VideoInput|None:
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if self.get_duration() < start_time + duration:
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return None
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#TODO Consider tracking duration and trimming at time of save?
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return VideoFromFile(self.get_stream_source(), start_time=start_time, duration=duration)
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@ -202,6 +202,28 @@ class LoadVideo(io.ComfyNode):
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return True
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class VideoSlice(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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node_id="Video Slice",
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display_name="Video Slice",
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search_aliases=["trim video duration", "skip first frames", "frame load cap", "start time"],
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category="image/video",
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inputs=[
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io.Video.Input('video'),
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io.Float.Input('start_time', default=0.0, min=0.0, step=.001),
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io.Float.Input('duration', default=0.0, min=0.0, step=.001),
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],
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outputs=[
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io.Video.Output(),
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],
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)
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@classmethod
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def execute(cls, video, start_time, duration) -> io.NodeOutput:
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return io.NodeOutput(video.as_trimmed(start_time, duration))
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class VideoExtension(ComfyExtension):
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@override
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@ -212,6 +234,7 @@ class VideoExtension(ComfyExtension):
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CreateVideo,
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GetVideoComponents,
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LoadVideo,
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VideoSlice,
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]
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async def comfy_entrypoint() -> VideoExtension:
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