{ "info": { "author": "Joris Roels", "author_email": "jorisb.roels@ugent.be", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# GPU accelerated data augmentation\n\nThis code provides standard augmentation strategies on the GPU, as some of these can be intensive on the CPU. Our GPU translation is based on [PyTorch](https://pytorch.org/). The current version supports both 2D and 3D data augmentation. \n\n## Installation\nInstall the dependencies and you are ready to go! \n
pip install augmentation
\n\n## Usage\nCheck out the provided [notebook examples](https://github.com/JorisRoels/augmentation/tree/master/notebooks)! \n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/JorisRoels/augmentation", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "augmentation", "package_url": "https://pypi.org/project/augmentation/", "platform": "", "project_url": "https://pypi.org/project/augmentation/", "project_urls": { "Homepage": "https://github.com/JorisRoels/augmentation" }, "release_url": "https://pypi.org/project/augmentation/0.7/", "requires_dist": null, "requires_python": ">=3.6", "summary": "A library, based on PyTorch, that performs data augmentation on the GPU", "version": "0.7" }, "last_serial": 5923701, "releases": { "0.2": [ { "comment_text": "", "digests": { "md5": "2a7c9a7d88922675bf1ef4a4f1636fb6", "sha256": 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