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Video-Dataset-Loading-Pytorch provides the lowest entry barrier for setting up deep learning training loops on video data. It makes working with video datasets easy and accessible. It only requires you to have your video dataset in a certain format on disk and takes care of the rest. No complicated dependencies and it supports native Torchvision video data augmentation.
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Video-Dataset-Loading-Pytorch provides the lowest entry barrier for setting up deep learning training loops on video data. It makes working with video datasets easy and accessible (also efficient!). It only requires you to have your video dataset in a certain format on disk and takes care of the rest. No complicated dependencies and it supports native Torchvision video data augmentation.
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### Overview: This small library solely provides the class `VideoFrameDataset`
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The VideoFrameDataset class (an implementation of `torch.utils.data.Dataset`) serves to `easily`, `efficiently` and `effectively` load video samples from video datasets in PyTorch.
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