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Azure Pipelines
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publish [GPU]: lightning_examples/augmentation_kornia
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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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to perform efficient data augmentation to train a simple model using the GPU in
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batch
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mode without additional effort.
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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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