{ "info": { "author": "Hernan E. Grecco", "author_email": "hernan.grecco@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Programming Language :: Python", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering", "Topic :: Software Development :: Libraries" ], "description": "PixeLINKds: PixeLINK Data Steam Files in Python\n===============================================\n\nPixeLINK Data Steam (PDS) is a file format used by PixeLINK software.\n\nIt is extremely easy to use\n\n.. code-block:: python\n\n >>> import pixelinkds as pds\n >>> timestamps, stack = pds.read('myfile.pds')\n\nYou can also iterate over each frame:\n\n.. code-block:: python\n\n >>> with pds.Reader('myfile.pds') as reader:\n ... for timestamp, img in reader:\n ... print(timestamp)\n ... # do something with your image\n\n\nOr you can convert into another format:\n\n.. code-block:: python\n\n >>> pds.convert('myfile.pds', 'myfile.tif')\n\n\nCurrent supported formats are tif (Multipage tif), npz (Numpy), mat (Matlab), avi (PIM1 encoded)\nFor tif an avi files you will get an extra file with .txt appended to the name with the timestamps.\n\nYou can also convert or get info form the command line:\n\n.. code-block:: bash\n\n $ python -m pixelinkds convert myfile.pds myfile.tif\n $ python -m pixelinkds info myfile.pds\n\n\nQuick Installation\n------------------\n\nTo install PixeLINKds, simply:\n\n.. code-block:: bash\n\n $ pip install pixelinkds\n\n\nDependencies\n------------\n\n * Numpy\n * SciPy (optional, to export mat files)\n * tifffile (optional, to export tif files)\n * OpenCV2 (optional, to export avi files)\n\nPixeLINKds is written and maintained by Hernan E. Grecco .\n\nOther contributors, listed alphabetically, are:\n\n* No one yet.\n\n(If you think that your name belongs here, please let the maintainer know)\n\n\nPixeLINKds Changelog\n====================\n\n0.1 (2016-08-25)\n----------------\n\n- First public release.\n- Implemented a Reader for homogeneous Pixelink Data Stream file.\n- Implemented Frame Descriptor based on ctypes structure.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/hgrecco/pixelinkds", "keywords": "PixeLINK Data Stream PDS image movie", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "pixelinkds", "package_url": "https://pypi.org/project/pixelinkds/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pixelinkds/", "project_urls": { "Homepage": "https://github.com/hgrecco/pixelinkds" }, "release_url": "https://pypi.org/project/pixelinkds/0.1/", "requires_dist": null, "requires_python": "", "summary": "PixeLINK Data Steam (PDS) Files in Python.", "version": "0.1" }, "last_serial": 2304820, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "9da6a31ef927959712a9dd753323530c", "sha256": "a0f54e17122ee61aa610450daaafff3516a0edab9b8d88ec67e444d5aac6a760" }, "downloads": -1, "filename": "pixelinkds-0.1.tar.gz", "has_sig": false, "md5_digest": "9da6a31ef927959712a9dd753323530c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8242, "upload_time": "2016-08-25T21:57:24", "url": "https://files.pythonhosted.org/packages/2d/f3/d1c9f1d0e08f9319d444cec5a7d565bd25461302ec6c56e633239660deef/pixelinkds-0.1.tar.gz" } ], "0.2.dev0": [] }, "urls": [ { "comment_text": "", "digests": { "md5": "9da6a31ef927959712a9dd753323530c", "sha256": "a0f54e17122ee61aa610450daaafff3516a0edab9b8d88ec67e444d5aac6a760" }, "downloads": -1, "filename": "pixelinkds-0.1.tar.gz", "has_sig": false, "md5_digest": "9da6a31ef927959712a9dd753323530c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8242, "upload_time": "2016-08-25T21:57:24", "url": "https://files.pythonhosted.org/packages/2d/f3/d1c9f1d0e08f9319d444cec5a7d565bd25461302ec6c56e633239660deef/pixelinkds-0.1.tar.gz" } ] }