OpenPano vs stitching

OpenPano is a free C++ program for automatic panorama stitching, written from scratch without computer vision libraries. It offers cylinder, camera estimation, and translation modes, each with requirements for image capture or ordering. Its listed techniques include SIFT features, RANSAC-based homography or affine transformations, focal estimation, bundle adjustment, and straightening. The program supports Linux, macOS, and Windows. Build instructions use CMake and make for Linux, macOS, and WSL, and describe a Visual Studio 2015 process for Windows. Eigen and FLANN are build dependencies; libjpeg and CImg are optional image input/output components. The README recommends manually downscaling images of four megapixels or more to save time. Wide-angle images with heavy distortion may not work well unless camera parameters are used to undistort them. Memory use can be large with the default libc allocator; LAZY_READ can reduce it with a minor slowdown. The repository includes an MIT License, which permits use and distribution subject to its conditions and provides the software without warranty.

stitching is a free Python package for making panoramas from image files or images already loaded in a program. It is based on OpenCV’s stitching module and can be used through a command-line interface or from Python scripts. The CLI can process JPG files in a directory, images selected with a wildcard, or explicitly named files; the Python API provides Stitcher and AffineStitcher classes. Stitcher accepts custom settings, and AffineStitcher corresponds to the CLI’s affine option. For troubleshooting, verbose mode saves intermediate results, while supplied utilities and a Jupyter Notebook tutorial help inspect RANSAC matches and blended seam lines. The package can be installed with pip or run from the openstitching/stitch Docker image. In Docker, images are read from a mounted /data directory and the default output is result.jpg in that directory. The project recommends stitching-headless for server and cloud environments. It is Python 3 only and distributed under the Apache License 2.0. PyPI lists version 0.7.0, released September 5, 2026.