Show HN: VRE Dataset generation for MultiTask vision models training from videos (opens in new tab)

Been working on this tool for my PhD which involves training multi task vision models using various pre-trained models as inputs or pseudolabels in order to improve generalization. I work mostly on UAV datasets, but it should work okay on indoor scenes or self driving (at least Marigold and Mask2Former).

For example, this dataset was generated using this tool: https://huggingface.co/datasets/Meehai/dronescapes

I'm quite aggressively trying to "just get the nn.Module" from the public repos that other researchers put up in their overly convoluted frameworks. A simple `forward(rgb_input: torch.Tensor) -> torch.Tensor` is nice, having 100 imports from a generic framework that has versions incompatibilities with everything else is not.

PS: most mains are standalone runnable too, i.e. - https://gitlab.com/meehai/video-representations-extractor/-/... or - https://gitlab.com/meehai/video-representations-extractor/-/...