Metadata-Version: 1.1
Name: scenecut-extractor
Version: 0.1.6
Summary: Get scenecuts from a video file using ffmpeg
Home-page: https://github.com/slhck/scenecut-extractor
Author: Werner Robitza
Author-email: werner.robitza@gmail.com
License: MIT
Description: Scenecut Extractor
        ==================
        
        |PyPI version|
        
        Extract scenecuts from video files using ffmpeg.
        
        This tool uses the ```select``
        filter <http://ffmpeg.org/ffmpeg-filters.html#select_002c-aselect>`__
        from ffmpeg to determine the scene cut probability of adjacent frames,
        and allows users to determine which frames (or at which timestamps) the
        scene cuts happen.
        
        Author: Werner Robitza werner.robitza@gmail.com
        
        Requirements
        ============
        
        -  Python 2.7 or 3.x
        -  FFmpeg:
        
           -  download a static build from `their
              website <http://ffmpeg.org/download.html>`__)
           -  put the ``ffmpeg`` executable in your ``$PATH``
        
        Installation
        ============
        
        ::
        
           pip install scenecut_extractor
        
        Or clone this repository, then run the tool with
        ``python -m scenecut_extractor``.
        
        Usage
        =====
        
        Run:
        
        ::
        
           scenecut_extractor <input-file>
        
        This will output a list of scene cuts in JSON format:
        
        .. code:: json
        
           [
             {
               "frame": 114,
               "pts": 114.0,
               "pts_time": 3.8,
               "score": 0.445904
             },
             {
               "frame": 159,
               "pts": 159.0,
               "pts_time": 5.3,
               "score": 0.440126
             }
           ]
        
        Extended Usage
        ==============
        
        The command supports the following arguments and options:
        
        -  ``-t``, ``--threshold``: set threshold between 0 and 1 (default: 0.3)
        -  ``-o``, ``--output``: one of ``{all,frames,seconds}``, output either
           all info, or only frame number, or timestamp in seconds
        -  ``-of``, ``--output-format``: one of ``{json,csv}`` (default: json)
        -  ``-h``, ``--help``: show help message and exit
        
        You can use the ``-t`` parameter to set the threshold that ffmpeg
        internally uses (between 0 and 1) – if you set it to 0, all frames will
        be printed with their probabilities.
        
        License
        =======
        
        scenecut_extractor, Copyright (c) 2018 Werner Robitza
        
        Permission is hereby granted, free of charge, to any person obtaining a
        copy of this software and associated documentation files (the
        “Software”), to deal in the Software without restriction, including
        without limitation the rights to use, copy, modify, merge, publish,
        distribute, sublicense, and/or sell copies of the Software, and to
        permit persons to whom the Software is furnished to do so, subject to
        the following conditions:
        
        The above copyright notice and this permission notice shall be included
        in all copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS
        OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
        MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
        IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
        CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
        TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
        SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
        
        .. |PyPI version| image:: https://badge.fury.io/py/scenecut_extractor.svg
           :target: https://badge.fury.io/py/scenecut_extractor
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Video
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
