cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.
sv is a simple / scientific image viewer that can display monochrome and color images with 8 and 16 bit integer as well as 32 bit float values as data types per color channel. Functions include showing monochrome images with color encoding, defining radiometric ranges, zooming and automatically reloading images (Linux only). For image comparison, settings like zoom, radiometric range, etc, can be kept while switching between images. Depth images (full or parts) with associated camera parameter files can be visualized on the fly in 3D. sv natively supports the PGM, PPM and PFM image formats as well as TIFF with 8 and 16 bit integer and 32 bit float values. TIFF, JPG, PNG, GIF and many other raster data formats are supported through optional libraries like GDAL.
plyv is a simple but pretty fast viewer for colored point clouds and meshes with per vertex coloring, shading and texture images. It also supports on-the-fly conversion and visualization of depth images and cameras. plyv is based on OpenGL and can cope with big data sets that consist of many million vertices and triangles. Mainly the PLY format is supported, which has been invented at Stanford University as an extendable format for storing vertices and polygons together with additional information. It is especially useful for scanned real-world data.
A live 3D viewer for examining the point clouds of Roboception 3D stereo sensors is part of the SGM®️Producer package that can be downloaded free of charge from the Roboception download page.
See INSTALL.md and USAGE.md for more information.
The initial version of cvkit has been developed while I was working for the Institute of Robotics and Mechatronics of the German Aerospace Center (DLR). It has been published under the BSD license for supporting version 3 of the Middlebury stereo evaluation. I am now with the Roboception GmbH, which is a DLR spin-off company.
I would like to thank Daniel Scharstein for testing the tools, giving me feedback and motivating me to make the tools publicly available. Thanks to Daniel Scharstein also for the code for the jet and rainbow color coding as well as testing it on Mac.
This software includes software developed by the University of Chicago, as Operator of Argonne National Laboratory.
Dr. Heiko Hirschmueller
Roboception GmbH
Kaflerstrasse 2
81241 Muenchen
Germany
Email: [email protected]