Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

107 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Image Captioning Library - Ovative Group

By: Omar Elsegeiny, Mason Myles, Ian King, Bohdan Ivanyshyn, Emily Anderson

Our capstone project, a Python pipeline CLI library, offers a streamlined solution for generating captions and a general overview for images. By simply providing URL(s) or a directory containing images, our library delivers insightful captions. Embedded within are pre-trained models for image captioning and optical character recognition, seamlessly integrated with a language generation model (LLM) for cohesive output. Tailored to meet the requirements of our client, Ovative Group, this tool serves as an in-house asset for efficiently captioning advertisements, offering both conciseness and detail in its captions.

To install the required libraries with their specific versions from the requirements.txt file, run the following command:

pip install -r requirements.txt

You can run the project by running the command:

python -m runner

Official Documentation: https://ovativegroupicg.vercel.app

About

Our Python CLI application simplifies image captioning and overview with pre-trained models. Tailored for Ovative Group, it delivers concise, accurate captions.

Resources

Stars

2 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages