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فهرست"],"sub_categories":["Windows Manager","ویرایش و کار با ویدیوها"],"readme":".. -*- mode: rst -*-\n\n|skvideologo|_\n\n|BSD3|_ |Travis|_ |Coveralls|_ |CircleCI|_ |Python27|_ |Python35|_ |PyPi|_ \n\n.. |BSD3| image:: https://img.shields.io/badge/license-BSD--3--Clause-blue.svg\n.. _BSD3: https://opensource.org/licenses/BSD-3-Clause\n\n.. |Travis| image:: https://api.travis-ci.org/scikit-video/scikit-video.png?branch=master\n.. _Travis: https://travis-ci.org/scikit-video/scikit-video\n\n.. |Coveralls| image:: https://coveralls.io/repos/github/scikit-video/scikit-video/badge.svg?branch=master\n.. _Coveralls: https://coveralls.io/github/scikit-video/scikit-video?branch=master\n\n.. |CircleCI| image:: https://circleci.com/gh/scikit-video/scikit-video/tree/master.svg?style=shield\u0026circle-token=:circle-token\n.. _CircleCI: https://circleci.com/gh/scikit-video/scikit-video\n\n.. |Python27| image:: https://img.shields.io/badge/python-2.7-blue.svg\n.. _Python27: https://badge.fury.io/py/scikit-video\n\n.. |Python35| image:: https://img.shields.io/badge/python-3.5-blue.svg\n.. _Python35: https://badge.fury.io/py/scikit-video\n\n.. |PyPi| image:: https://badge.fury.io/py/scikit-video.svg\n.. _PyPi: https://badge.fury.io/py/scikit-video\n\n.. |skvideologo| image:: doc/images/scikit-video.png\n.. _skvideologo: http://www.scikit-video.org\n\n\nVideo Processing SciKit\n-----------------------\n\nBorrowing coding styles and conventions from scikit-image and scikit-learn,\nscikit-video is a Python module for video processing built on top of \nscipy, numpy, and ffmpeg/libav.\n\nThis project is distributed under the 3-clause BSD.\n\nVisit the documentation at http://www.scikit-video.org\n\n\nDependencies and Installation\n-----------------------------\n\nHere are the requirements needed to use scikit-video.\n\n- Either ffmpeg (version \u003e= 2.8) or libav (either version 10 or 11)\n- python (2.7, 3.3\u003c=)\n- numpy (version \u003e= 1.9.2)\n- scipy (version \u003e= 0.16.0)\n- PIL/Pillow (version \u003e= 3.1)\n- scikit-learn (version \u003e= 0.18)\n- mediainfo (optional)\n\nInstallation::\n\n$ sudo pip install scikit-video\n\nInstalling from github\n\n1. Make sure minimum dependencies (above) are installed. In addition, install setuptools (python-setuptools or python2-setuptools).\n\n2. Clone the scikit-video repository, enter the project directory, then run::\n\n   $ python setup.py build\n\n3. In that same project directory, run the command::\n\n   $ sudo python setup.py install\n\nwhere `python` may refer to either python2 or python3.\n\nKnown conflicts\n---------------\n\nIf you installed scikit-video prior to version 1.1.10, you may have an import conflict. Run the following command(s) to fix it::\n\n    $ sudo pip uninstall sk-video\n\nThen To check that the conflict no longer exists, import skvideo and print the file path::\n\n    import skvideo\n    print(skvideo.__file__)\n\nif setup correctly, you should see `scikit_video` in the path::\n\n/usr/lib/python*/site-packages/scikit_video-*.*.*-py*.egg/skvideo/__init__.pyc\n\n\nTODO/Roadmap\n------------\n- Spatial-Temporal filtering helper functions\n- Speedup routines (using cython and/or opencl)\n- More ffmpeg/avconv interfacing\n- Wrapping ffmpeg/avconv inside a subprocess to reduce memory overhead \n- Add additional algorithms and maintain more comprehensive benchmarks\n\n\nFor Contributors\n----------------\n\nQuick tutorial on how to go about setting up your environment to contribute to scikit-video: \n\nhttps://github.com/beyondmetis/scikit-video/blob/master/CONTRIBUTING.rst\n\n\nTesting\n-------\n\nAfter installation, you can launch the test suite from outside the source directory (you will need to have the nose package installed). To ensure that both python2 and python3 versions pass::\n\n    $ nosetests2 -v skvideo\n    $ nosetests3 -v skvideo\n\nCopyright 2015-2025, scikit-video developers (BSD license).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-video%2Fscikit-video","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscikit-video%2Fscikit-video","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-video%2Fscikit-video/lists"}