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@@ -11,7 +11,7 @@ getting familiar with these first through [this](https://pytorch.org/tutorials/b
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The VideoFrameDataset class serves to `easily`, `efficiently` and `effectively` load video samples from video datasets in PyTorch.
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1) Easily because this dataset class can be used with custom datasets with minimum effort and no modification. The class merely expects the
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video dataset to have a certain structure on disk and expects a .txt annotation file that enumerates each video sample. Details on this
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can be found below and at `https://video-dataset-loading-pytorch.readthedocs.io/`.
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can be found below and at `https://video-dataset-loading-pytorch.readthedocs.io/en/latest/VideoDataset.html`.
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2) Efficiently because the video loading pipeline that this class implements is very fast. This minimizes GPU waiting time during training by eliminating input bottlenecks
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that can slow down training time by several folds.
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3) Effectively because the implemented sampling strategy for video frames is very strong. Video training using the entire sequence of
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