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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a03848334e667cd059193f88a50d66f32b45466894f967172e95bc35d4bdd28b
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+ size 597036
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+ title : GPU and batched data augmentation with Kornia and PyTorch-Lightning
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+ author : PL/Kornia team
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+ created : 2021-06-11
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+ updated : 2023-03-15
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+ license : CC BY-SA
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+ build : 0
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+ tags :
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+ - Image
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+ description : ' In this tutorial we will show how to combine both Kornia and PyTorch
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+ Lightning
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+
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+ to perform efficient data augmentation to train a simple model using the GPU in
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+ batch
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+
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+ mode without additional effort.
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+
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+ '
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+ requirements :
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+ - kornia
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+ - lightning
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+ - torchmetrics
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+ - torchvision
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+ - matplotlib
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+ - pandas
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+ - seaborn
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+ - lightning>=2.0.0
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+ accelerator :
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+ - CPU
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+ - GPU
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+ environment :
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+ - torch==2.0.1
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+ - numpy==1.26.4
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+ - seaborn==0.13.2
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+ - setuptools==69.0.3
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+ - lightning==2.3.3
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+ - ipython==8.16.1
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+ - matplotlib==3.8.4
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+ - torchvision==0.15.2
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+ - pytorch-lightning==2.0.9.post0
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+ - torchmetrics==1.2.1
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+ - pandas==2.2.2
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+ - urllib3==2.2.2
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+ - kornia==0.7.3
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+ published : ' 2024-07-19T20:46:19.474655'
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