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Computer Vision Q&A - Exam Preparation 🎓

A GitHub Action automatically compiles and updates the PDF whenever changes are merged into main.

👉 DOWNLOAD PDF 👈 The file is regenerated automatically on each update. If you get a 404, the build is likely in progress; wait a minute and retry.

🤝 How to contribute

We follow a simple workflow.

1. Fork & clone (external contributors)

  1. Fork the repository.
  2. Clone your fork:
    git clone https://github.com/YOUR-USERNAME/computer-vision-prep.git
    cd computer-vision-prep
    
  3. Create a branch:

git checkout -b add-lecture-x

Maintainers can work directly on the repo but should still use feature branches.

  1. Add questions

Edit the relevant lecture file (e.g., Lecture5.tex). Do not modify main.tex unless adding a new lecture.

Use:

\qa{Question}{Answer}

Example:

\qa{What is an image histogram?}{ A histogram represents the distribution of pixel intensities in an image. }

This automatically integrates into the final PDF table of contents.

You can test locally, use Overleaf, or rely on the GitHub Action (it will fail if LaTeX has errors).

  1. Submit a Pull Request

git add .

git commit -m "Add questions for Lecture X"

git push origin add-lecture-x

Then open a PR from GitHub and complete the template. A CI check will compile the PDF automatically.

💬 Questions & discussions

For disagreements, uncertainties, or conceptual doubts, feel free to open an issue.

📄 License

Licensed under CC BY-NC 4.0: free to use and adapt for non-commercial purposes with attribution.

Happy studying 🚀

About

Collaborative Q&A study guide for the CV exam. Powered by LaTeX and automatically compiled to PDF. Open to contributions!

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