The cvkit software package is offered for supporting an easy exchange and analysis of computer vision data including images in floating point format and 3D data like point clouds or triangle meshes. The toolkit targets researchers as well as interested groups and individuals. It is also especially useful for working with the Middlebury stereo and multi-view data.
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.
NOTE: The toolkit does not contain SGM or any other stereo method and we do not offer SGM as source code or binary.
Up-to-date versions are available at Github.