Metadata-Version: 2.1
Name: video-razor
Version: 0.0.1
Summary: A package for slicing a video into N sections
Home-page: https://github.com/5starkarma/video-razor
Author: David Alford
Author-email: firstlast678@gmail.com
License: MIT
Download-URL: https://github.com/5starkarma/video-razor/archive/0.0.1.tar.gz
Description: [![Build Status](https://travis-ci.com/5starkarma/face-smoothing.svg?branch=main)](https://travis-ci.com/5starkarma/face-smoothing) [![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)
        
        # Video Razor
        
        1 | 2 | 3
        :-------------------------:|:-------------------------:|:-------------------------:
        ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-1.png?raw=true "Input image")  |  ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-2.png?raw=true "Output image") |  ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-3.png?raw=true "Output image")
        4 | 5 | 6
        ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-4.png?raw=true "Input image")  |  ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-5.png?raw=true "Output image") |  ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-6.png?raw=true "Output image")
        7 | 8 | 9
        ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-7.png?raw=true "Input image")  |  ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-8.png?raw=true "Output image") |  ![alt text](https://github.com/5starkarma/video-razor/blob/master/data/examples/section-9.png?raw=true "Output image")
        ---
        
        A package for slicing a video into N**2 sections. 
        
        The original use-case was to process higher-definition videos, split up, through Deep Learning models. This allows for easier detection of smaller objects.
        
        ---
        ## Install
        ```
        pip install video-razor
        ```
        
        ## Usage
        The class input file name, output file name, and the cross sections you'd like to split the video in. e.g. `3` will produce an output of 9 videos - 3 horizontal, 3 vertical.
        
        The output file name should **NOT** contain a suffix as this will be appended during processing.
        ```
        input_file = 'data/input/sample.mp4'
        output = 'data/output/out'
        razor = VideoRazor(input_file, output, 3)
        razor.slice()
        ```
        
Keywords: OPENCV,VIDEO,CUT,SLICE,RAZOR
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
