{ "info": { "author": "liangshihua", "author_email": "mc2liang@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "torchvision\n============\n\n.. image:: https://travis-ci.org/pytorch/vision.svg?branch=master\n :target: https://travis-ci.org/pytorch/vision\n\nThe torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.\n\nInstallation\n============\n\nAnaconda:\n\n.. code:: bash\n\n conda install torchcv -c pytorch\n\npip:\n\n.. code:: bash\n\n pip install torchcv\n\n or\n\n pip install -i https://pypi.python.org/pypi torchcv\n\nFrom source:\n\n.. code:: bash\n\n python setup.py install\n\n\nImage Backend\n=============\nTorchvision currently supports the following image backends:\n\n* `Pillow`_ (default)\n\n* `Pillow-SIMD`_ - a **much faster** drop-in replacement for Pillow with SIMD. If installed will be used as the default.\n\n* `accimage`_ - if installed can be activated by calling :code:`torchvision.set_image_backend('accimage')`\n\n.. _Pillow : https://python-pillow.org/\n.. _Pillow-SIMD : https://github.com/uploadcare/pillow-simd\n.. _accimage: https://github.com/pytorch/accimage\n\nDocumentation\n=============\nYou can find the API documentation on the pytorch website: http://pytorch.org/docs/master/torchvision/\n\nContributing\n============\nWe appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/aaronleong/vision-tools", "keywords": "", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "torchcv", "package_url": "https://pypi.org/project/torchcv/", "platform": "", "project_url": "https://pypi.org/project/torchcv/", "project_urls": { "Homepage": "https://github.com/aaronleong/vision-tools" }, "release_url": "https://pypi.org/project/torchcv/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "image and video datasets and models for torch deep learning", "version": "0.0.2" }, "last_serial": 4637860, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "7c1efca8aba009a13865fcbf0e88886f", "sha256": "0126a2732c222191cdc887d3a5f57470785e83779ad6493426be73dab86cb718" }, "downloads": -1, "filename": "torchcv-0.0.1.tar.gz", "has_sig": false, "md5_digest": "7c1efca8aba009a13865fcbf0e88886f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 112117, "upload_time": "2018-12-27T12:53:51", "url": "https://files.pythonhosted.org/packages/9a/8b/ba3bd38552b6a7747d9c9e4854c4e3d0151b6b914d1ece56190ac8cce01b/torchcv-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "b472ae3934cc59ba28a7dac6c253f193", "sha256": "6bb2c6498dd735eb057499fb148b960a0818643dbee7d9cbde6fb3faea023d7f" }, "downloads": -1, "filename": "torchcv-0.0.2.tar.gz", "has_sig": false, "md5_digest": "b472ae3934cc59ba28a7dac6c253f193", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 112153, "upload_time": "2018-12-27T13:04:54", "url": "https://files.pythonhosted.org/packages/3f/88/e48292f517f1764373fae7f8e438d3d98cc2efc92d1ae09177e17924258c/torchcv-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "b472ae3934cc59ba28a7dac6c253f193", "sha256": "6bb2c6498dd735eb057499fb148b960a0818643dbee7d9cbde6fb3faea023d7f" }, "downloads": -1, "filename": "torchcv-0.0.2.tar.gz", "has_sig": false, "md5_digest": "b472ae3934cc59ba28a7dac6c253f193", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 112153, "upload_time": "2018-12-27T13:04:54", "url": "https://files.pythonhosted.org/packages/3f/88/e48292f517f1764373fae7f8e438d3d98cc2efc92d1ae09177e17924258c/torchcv-0.0.2.tar.gz" } ] }