{ "info": { "author": "Rich Wareham", "author_email": "rich.av2hdf5@richwareham.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3" ], "description": "av2hdf5: extract video frames into HDF5 container\n=================================================\n\n.. image:: https://travis-ci.org/rjw57/av2hdf5.svg?branch=master\n :target: https://travis-ci.org/rjw57/av2hdf5\n :alt: Build status\n\nav2hdf5 is small utility which can pull video frames out of any\nFFMPEG-compatible video format and insert them as separate datasets within an\nHDF5 file. Each frame may be stored uncompressed or as a one-dimensional array\nof bytes representing the JPEG or PNG encoding.\n\nThis utility is probably of use to those performing batch scientific computing\non images with software which expects HDF5-formatted input.\n\nLicense\n-------\n\nThis utility is \u00a9 Copyright 2014, Rich Wareham.\n\nSee the `LICENSE.txt `_ file shipped with this repository for more\ninformation.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/rjw57/av2hdf5", "keywords": null, "license": "BSD", "maintainer": null, "maintainer_email": null, "name": "av2hdf5", "package_url": "https://pypi.org/project/av2hdf5/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/av2hdf5/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/rjw57/av2hdf5" }, "release_url": "https://pypi.org/project/av2hdf5/1.0/", "requires_dist": null, "requires_python": null, "summary": "Extract video frames into an HDF5 file", "version": "1.0" }, "last_serial": 1314749, "releases": { "1.0": [ { "comment_text": "", "digests": { "md5": "36eac09b21308608cf2a04651bbb0e32", "sha256": "be57789146817e596c27e2f82bf17f7d496bdc3537861b20c4d9216957938735" }, "downloads": -1, "filename": "av2hdf5-1.0.tar.gz", "has_sig": false, "md5_digest": "36eac09b21308608cf2a04651bbb0e32", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3901, "upload_time": "2014-11-20T17:34:12", "url": "https://files.pythonhosted.org/packages/f2/5a/bad442db5d856a989b3a3bf3cee5ff81f8e37e29b0919b338cab9e26a308/av2hdf5-1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "36eac09b21308608cf2a04651bbb0e32", "sha256": "be57789146817e596c27e2f82bf17f7d496bdc3537861b20c4d9216957938735" }, "downloads": -1, "filename": "av2hdf5-1.0.tar.gz", "has_sig": false, "md5_digest": "36eac09b21308608cf2a04651bbb0e32", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3901, "upload_time": "2014-11-20T17:34:12", "url": "https://files.pythonhosted.org/packages/f2/5a/bad442db5d856a989b3a3bf3cee5ff81f8e37e29b0919b338cab9e26a308/av2hdf5-1.0.tar.gz" } ] }