Panoweaver vs stitching

Panoweaver stitches source images into panoramas and can publish panoramic tours. It automatically detects fisheye regions, matches corresponding points, optimizes stitching settings, then remaps and blends the images. Panorama formats include spherical, cubic, cylindrical, gigapixel, and Little Planet. Inputs include JPEG, PNG, BMP, TGA, TIFF, Camera RAW, and 16-bit images. Professional Edition supports batch stitching and HDR stitching for 300 groups of images; HDR processing combines 2–10 stops per group and can output JPEG, PNG, BMP, EXR, TIFF, and HDR files. Published panoramas can be HTML5, Flash VR, or SWF content for PCs, mobile devices, and glasses. The interface supports English, Chinese, Japanese, French, German, Spanish, and Italian. The listed starting price is $149.95 one-time, and a free trial is available, but trial publications carry a watermark. The product is listed for Android, iOS, macOS, and Windows.

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.