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Optimized library for large-scale extraction of frames and audio from video.

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[pyAV](https://github.com/PyAV-Org/PyAV) - untested [VPF](https://github.com/NVIDIA/VideoProcessingFramework) - untested [decord](https://github.com/dmlc/decord): initial testing showed no clear performance advantage over video2numpy

in particular https://github.com/iejMac/clip-video-encode

Hello, is there any easy way to use the frame extraction method within the dataset/dataloader for pytorch? My understanding that it is not trivial given the use of multiprocessing here:...

this is an important feature of this lib. N frames/s on hardware X is more useful than just "optimized"

A place holder pull request

currently we only do intra-video batching but for short videos this leads to 1 padded batch. Should be a way to batch a few videos into one batch and split...

like here - https://github.com/rom1504/img2dataset/blob/main/img2dataset/resizer.py#L81