Metadata-Version: 2.1
Name: dataset2database
Version: 0.0.1
Summary: Useful converter of videos to SQL databases for Python
Home-page: https://github.com/alexandrosstergiou/dataset2database
Author: Alexandros Stergiou
Author-email: alexstergiou5@gmail.com
License: GPL-3.0
Download-URL: https://pypi.org/project/dataset2database/
Description: # dataset2database
        ----------------------
        About
        ----------------------
        
        The package is made as a solution when using video inputs in Machine Learning models. As extracting and storing frames in `.JPEG` files will quickly increase the memory requirements and more importantly the number of `inodes`, the package provides a convenient alternative. Video frames are stored as blobs at database file `.db` which can be read as quickly as the `.JPEG` files but without the additional large memory requirements.
        
        ----------------------
        Dataset structure
        ----------------------
        
        The package assumes a fixed dataset structure such as:
        
        ```
        <dataset>    
          │
          └──<class 1>
          │     │
          │     │─── <video_data_1.mp4>
          │     │─── <video_data_2.mp4>
          │     │─── ...
          │    ...      
          │
          └───<class 2>
          │      │
          │      │─── <video_data_1.mp4>
          │      │─── <video_data_2.mp4>
          │      │─── ...
         ...    ...
        
        ```
        
        -------------------------
        Installation through git
        -------------------------
        
        Please make sure, Git is installed in your machine:
        ```
        $ sudo apt-get update
        $ sudo apt-get install git
        $ git clone https://github.com/alexandrosstergiou/dataset2database.git
        ```
        
        
        # Version history
        
        ### 6 April 2020 : Initial code created
        
Keywords: SQLconverter,dataset2database,JPG2SQL
Platform: UNKNOWN
Description-Content-Type: text/markdown
