Stereo Scape

📦 Stereo-Scape Stereo-Scape is a 3D scene reconstruction project that uses stereo vision techniques to generate depth maps and point clouds from pairs of stereo images. It aims to provide a simple, modular, and extensible framework for experimenting with stereo image processing, disparity estimation, and 3D model generation.

✨ Features 📷 Load stereo image pairs (left and right views)

🛠️ Perform stereo rectification

📏 Compute disparity maps

🌍 Generate 3D point clouds

🎨 Visualize disparity and depth outputs

🔧 Easy-to-modify pipeline for custom stereo algorithms

To deploy your app, you may need to install an adapter for your target environment.

stereo-scape/ │ ├── data/ # Sample stereo image pairs ├── output/ # Generated outputs (disparity maps, point clouds) ├── src/ # Source code files │ ├── disparity.py # Disparity map generation │ ├── stereo.py # Stereo image rectification and processing │ ├── utils.py # Helper functions │ └── config.py # Configuration settings ├── requirements.txt # Python dependencies └── README.md # Project description and setup instructions

🚀 Getting Started

1. Clone the Repository bash Copy Edit git clone https://github.com/sohamghogre/Stereo-Scape cd stereo-scape

2. Install Dependencies bash Copy Edit pip install -r requirements.txt Make sure you have OpenCV (opencv-python) and NumPy installed.

3. Run the Code bash Copy Edit python src/stereo.py