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PixV (Image Version Control System)

Our pypi package -> pixv.

The current stable version is 0.1.1

Description

PixV is an image version control system designed to efficiently manage image changes, minimizing storage usage. Accessible as a Python package via pip install pixv, PixV utilizes a graph data structure, where each node represents a version. The project boasts numerous features for accessing different versions and offers versatile functionalities.

Table of Contents

  • Installation
  • Features
  • Optimizations
  • Dependencies
  • Future Development Goals
  • Authors
  • License

Installation

Any of the below methods can be used to access PixV.

  • Install PixV with pip

      pip install pixv
  • Clone the repository, install dependencies and use feature.py in src directory to access all commands

  git clone https://github.com/ReallyJaegar/PixV.git
  pip install -r requirements.txt
  pthon3 feature.py [COMMAND] [OPTIONS]

Features

  • Add New Image in PixV

To intialise the tree of version control system. Further versions can only be created once the root node is created.

It creates a root node (nodes.rootNode).

  • pixv add [path/to/image.png] --author [NAME]
    or
  • python3 feature.py add [path/to/image.png] --author [NAME]"
  • Commit Changes

To add versions to the image once the root node (nodes.rootNode) has been initialised.

Wont work if the nodes.rootNode has not been initialised.

  • pixv commit [path/to/image.png] --message [COMMIT MESSAGE] --author [NAME]

    or

  • python3 feature.py commit path/to/image.png --message "commit_message" --author "Name of author"
  • Logs :

Displays all the versions of the image availiable in the project along with their uuid ,author ,time, commit_message.

To use the function run the following command in your terminal :

  • pixv logs [path/to/image.png]

    or

  • python3 feature.py logs path/to/image.png 

  • Push and Pull

Push : It uploads local repository content to a remote repository.
Pull : It fetches changes from a remote repository

Commands :

    • Push: python3 feature.py push path/to/image.png
    • Pull: python3 feature.py push path/to/image.png

    or

    • Push: pixv push [path/to/image.png]
    • Pull: pixv push [path/to/image.png]

  • Forward & Revert

Forward : Feature to move to Next availiable Version
Revert : Feature to move back to the previous Version

Commands:

Forward : python3 feature.py forward path/to/image.png

Revert : python3 feature.py revert path/to/image.png

or

Forward : pixv forward [path/to/image.png]

Revert : pixv feature.py revert [path/to/image.png]

  • Shift

Can Shift to any version of the image using only this following command:
  • python3 feature.py shift path/to/image.png --id [unique id of the version]

or

  • pixv shift [path/to/image.png] --id [unique id of the version]

Note : unique id can be seen using Logs command

  • Hist

Using this function the user will be able to visualize the complete graph structure in the terminal.

  • python3 feature.py hist [image.png] or
  • pixv hist [image.png]

The graph structure will look like this:

khaali

  • Locate

Using this function user can locate where head is pointing.

  • python3 feature.py locate path/to/image.png or

  • pixv locate [path/to/image.png]

  • Original

Brings back the original version of the image

  • python3 feature.py original path/to/image.png or
  • pixv original [path/to/image.png]

  • Show

Using the following command user can load the image on the current HEAD location in the imageGraph :
  • python3 feature.py show [name of image]
    

or

  • pixv show [nameofimage]

Optimizations

We've enhanced the version control system to minimize storage usage by storing only the changes between consecutive versions.

Dependencies

  • Pillow==10.0.1

  • numpy==1.26.1

  • requests==2.31.0

  • matplotlib==3.8.2

  • click==8.1.7

If you want to create your own server for file sharing :

  • Use the file_server.py

Future Development Goals

  • Adding Merge Operation

  • GUI for the Version Control System

  • Can be operated for any type of image format

Authors

License

MIT

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