3DVista Stitcher vs stitching

3DVista Stitcher 4 turns groups of photographs into panoramas through a guided, one-click workflow. It accepts standard, wide-angle, fisheye, and one-shot lenses and most popular camera types. Outputs can be full or partial panoramas in cubic, spherical, or small-planet forms, with 18 projection types including equirectangular, rectilinear, cylindrical, and small-planet. Automatic control-point detection helps align images, and you can add, move, change, or delete those points. One-click standard HDR and Adaptive HDR stitching are included, as is batch stitching for multiple panoramas. Stitcher can process 3DVista Live Panoramas and Adaptive HDR Panoramas; publishing those as immersive virtual tours requires Virtual Tour Pro. The software runs on macOS and Windows, supports HDR blending and control-point editing, and does not support RAW input. A free trial is available.

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.