🚀 TinyCV

A lightweight C++ computer vision library for learning, building, and experimenting.

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🌟 Overview

TinyCV is a minimal yet powerful computer vision library built from scratch in C++.
It's designed for developers who want to understand how image processing works under the hood instead of relying on heavy frameworks.

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✨ Features

• 📸 Image loading & saving (via stb_image)
• 🎨 Basic image processing:
  • Brightness adjustment
  • Contrast control
  • Grayscale conversion
  • Color inversion
• ⚡ Lightweight and fast
• 🧱 Modular design for easy extension
• 🧠 Built for learning + experimentation

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📦 Installation

1. Clone the repository

git clone https://github.com/urshayan/tinycv.git
cd tinycv

2. Build

g++ main.cpp -o tinycv

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🚀 Usage

#include <iostream>
#include "io/image_io.h"

using namespace tinycv;

int main()
{
    Image img = loadImage("test.png");

    std::cout << "Loaded Image: "
              << img.width << " x " << img.height << "\n";

    Image result = img.brightnessAndcontrast(img, 30, 10);

    saveImage(result, "output.png");

    std::cout << "Saved output.png\n";

    return 0;
}

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🧩 Project Structure

tinycv/
│── io/
│── core/
│── filters/
│── main.cpp
│── stb_image.h
│── stb_image_write.h

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🛠️ Roadmap

• Phase 1: Basic operations ✅
• Phase 2: Convolution filters 🚧
• Phase 3: Advanced CV features 🔥

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🤝 Contributing

Pull requests are welcome!

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📜 License

MIT License

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👤 Author

Shayan Ijaz