AI Projects: Computer Vision

Welcome to my repository of personal AI projects! Here, I share the work I'm doing in the field of Computer Vision (CV).

Contents

Computer Vision Projects

• These projects cover a wide range of topics in computer vision.
• I experiment with techniques such as object detection, classification, generative models, and visual question answering.
• The projects include implementations of:
  • Object Detection and Classification
  • Generative Adversarial Networks (GANs)
  • Visual Question Answering (VQA)
  • And many more

Tasks to Do

• Add an index to organize different projects and techniques.

How to Run the Code

On Local Machine

If you have a CUDA-powered machine and want to run the projects locally, follow these steps:

Windows

conda env create -f environment.yml -n cv_projects_env
conda activate cv_projects_env

Notice

• Make sure you have Conda installed.
• The projects are compatible with Python 3.11.
• Preferably , run the code in cloud providers
• My code was run on **Lightning AI

Code Organisation :

• Most of the projects are split into 4 script files : data , utils , model & main to make code modular and readable
• To run most of the projects , execute main.py file

References

Here are some of the resources that have helped me on my journey:

• Modern Computer Vision with PyTorch

  • Description: This book offers a comprehensive guide to building and deploying computer vision applications using PyTorch, covering everything from basic image processing to advanced deep learning techniques.

• Machine Learning with PyTorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

  • Description: This book provides a solid foundation in machine learning and deep learning with PyTorch, making it an essential resource for developing computer vision models.

Final Word

I hope this repository helps you with your personal projects. Feel free to contact me on my social accounts to discuss AI and share ideas!