Computer Vision Challenge 🏆

Overview

This is a collection of foundational projects for anyone diving into computer vision.

Explore some of computer vision core concepts and hands-on projects through challenges.

Challenges are organized into levels:

• Level 0 - Zero/beginner: Getting Started with Basics
• Level 1 - Apprentice/intermediate: Hands-on Computer Vision with Deep Learning
• Level 2 - Hero: Large Vision Models (LVMs) from Image Generation, Inpainting, & More
• Level 3 - Advanced: Video Models Benchmarking (ongoing)
• Level 4 - Expert: Finetuning of VLMs (Vision Language Models) & LVMs (ongoing)
• Level 5 - Master: Multimodality (ongoing)

[!IMPORTANT]
In L1 and L2, we primarily leverage pre-trained models to ensure accessibility for everyone. This also allows us to explore a wider range of vision recognition tasks using different types of models while focusing on the model's performance and outcome.

Basic Computer Vision Pipeline

graph LR
    A[Image Acquisition] ==> B[Image Processing]
    B ==> C[Feature Extraction]
    C ==> D[Output, Interpretation & Analysis]

    style A fill:#EEE,stroke:#333,stroke-width:4px
    style B fill:#F88,stroke:#333,stroke-width:4px
    style C fill:#4F4,stroke:#333,stroke-width:4px
    style D fill:#33F,stroke:#333,stroke-width:4px

Requirements

To install the dependency packages using either conda or pip:

Using conda:

1. create a new conda environment

conda create --name cv-challenge

2. Activate the newly created environment:

source activate cv-challenge  # For bash/zsh
conda activate cv-challenge  # For conda prompt/powershell

3. Install dependencies from the requirements.txt file:

conda install --channel conda-forge --file requirements.txt

Using pip:

1. Install dependencies from the requirements.txt file:

pip install -r requirements.txt

Hands-on Computer Vision Challenges!

Level 0 - Zero: Getting Started with Basics 💪

Level 1 - Apprentice: Hands-on Computer Vision with Deep Learning 🔥

Level 2 - Hero: Large Vision Models (LVMs) from Image Generation, Inpainting, & More ⚡

Level 3 - Advanced: Video Models Benchmarking

Usage

Most projects are written in Jupyter notebooks, you can run the directly using jupyter notebook/lab or Colab.

For projects with a main.py file, run the command below:

python main.py

Roadmap & Upcoming Features

Roadmap:

    flowchart BT
        A(Level 0: Zero) --> B(Level 1: Intermediate)
        A --> C(Level 2: Hero)
        A --> D(Level 3: Advanced)
        A --> E(Level 4: Expert)
        A --> F(Level 5: Master)
        
        style A fill:#fff,stroke:#333,stroke-width:2px
        style B fill:#88f,stroke:#333,stroke-width:2px
        style C fill:#8f8,stroke:#333,stroke-width:2px
        style D fill:#bbb,stroke:#f66,stroke-width:2px,color:#fff,stroke-dasharray: 5 5
        style E fill:#bbb,stroke:#f66,stroke-width:2px,color:#fff,stroke-dasharray: 5 5
        style F fill:#bbb,stroke:#f66,stroke-width:2px,color:#fff,stroke-dasharray: 5 5

New levels:

• L3 - Advanced: Video Models Benchmarking
• L4 - Expert: Finetuning of VLMs (Vision Language Models) & LVMs
• L5 - Master: Multimodality

Upcoming Features:

Contributing

We warmly welcome your contributions! Whether you're a seasoned developer or just starting out in Computer Vision, you can help us improve the project and make it more valuable to everyone.

How to contribute:

• Fork this repository and clone it to your local machine.
• Create a new branch with a descriptive name for your contribution.
• Add your code and files to the branch and commit your changes.
• Push your branch to your forked repository and create a pull request to the main repository.
• Wait for your pull request to be reviewed and merged.

Sponsor this Project

Another way to get involved is by sponsoring the project.

Your support will help:

• Provide computational resources (This is a GPU Poor Project!!!) to explore new frontiers in computer vision by training larger and more complex model
• Keep the project up to date with the latest computer vision advancements
• Create more detailed tutorials for users at all skill levels

LICENSE

This project is licensed under the MIT LICENSE.

Star History

"Vision is a picture of the future that produces passion." - Bill Hybels