pixv 0.2.1

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Description:

pixv 0.2.1

PixV (Image Version Control System)
PixV pypi package -> (https://pypi.org/project/pixv/).
Current stable release is pixv==0.1.2
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 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:




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

@Som Shekhar Sharma
@Dhruv Sagar

License
MIT

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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