cutcutcodec.core.analysis.video.properties.timestamps.get_timestamps_video

cutcutcodec.core.analysis.video.properties.timestamps.get_timestamps_video(filename: str | bytes | Path, index: int = 0, *, backend: None | str = None, interpolate: bool = True) → ndarray[None | Fraction][source]

Recover the date of appearance of the frames.

In case the frame rate is perfectly constant, this returns [0, 1/fps, 2/fps, ..., (n-1)/fps] with n the number of frames present in the video. But in case the frequency of images is not quite constant, this function has more interest.

Parameters

filenamepathlike

The pathlike of the file containing a video stream.

indexint

The relative index of the video stream being considered, by default the first stream encountered is selected.

backendstr, optional

None (default) : Try to read the stream by trying differents backends.
“ffmpeg”Uses the modules pip3 install ffmpeg-python
which are using the ffmpeg program in the background.
“cv2” : Uses the module pip3 install opencv-contrib-python-headless.

interpolatebool, optional

If True (default), then the frames whose position is unknown are interpolated from the set of correctly dated frames. If False, the unconfirmed positions are translated as “np.nan”.

Returns

datesFraction or None: The numpy 1d list containing the dates in seconds, encoded in Fraction. If a position is unknown and interpolate is set to False, the values None are used.

Raises

MissingStreamError: If the file does not contain a playable video stream.

Examples

>>> from cutcutcodec.core.analysis.video.properties.timestamps import get_timestamps_video
>>> get_timestamps_video("cutcutcodec/examples/video.mp4")  
array([Fraction(0, 1), Fraction(1, 25), Fraction(2, 25), Fraction(3, 25),
       Fraction(4, 25), Fraction(1, 5), Fraction(6, 25), Fraction(7, 25),
       Fraction(8, 25), Fraction(9, 25), Fraction(2, 5), Fraction(11, 25),
       ...
       Fraction(393, 25), Fraction(394, 25), Fraction(79, 5),
       Fraction(396, 25), Fraction(397, 25), Fraction(398, 25),
       Fraction(399, 25)], dtype=object)
>>> get_timestamps_video("cutcutcodec/examples/intro.webm")  
array([Fraction(0, 1), Fraction(33, 1000), Fraction(67, 1000),
       Fraction(1, 10), Fraction(133, 1000), Fraction(167, 1000),
       Fraction(1, 5), Fraction(117, 500), Fraction(267, 1000),
       ...
       Fraction(961, 100), Fraction(9643, 1000), Fraction(2419, 250),
       Fraction(971, 100), Fraction(9743, 1000), Fraction(1222, 125)],
      dtype=object)
>>>