stitching: a Python package for fast and robust image stitching and panorama creation

What it solves

It provides a fast and robust way to combine multiple overlapping images into a single, seamless panorama or stitched image, simplifying the process of creating wide-angle views from fragmented photos.

How it works

Built on top of OpenCV's stitching module, the package allows users to find matching points between images and blend them together. It supports different feature detectors (like SIFT) and provides a verbose mode to save intermediate results for debugging. It also offers an AffineStitcher for specific transformation needs.

Who it’s for

Developers and researchers who need to automate image stitching in Python scripts or via a command-line interface, as well as users who prefer Docker containers for quick deployment.

Highlights

• Flexible Interface: Available as a Python library, a CLI tool, and a Docker image.
• Robust Matching: Supports custom settings for detectors and confidence thresholds to improve stitching accuracy.
• Debugging Tools: Verbose mode allows visualization of RANSAC matches and seam lines to analyze the stitching process.
• Headless Support: Offers a stitching-headless version for server and cloud environments.