VIGRA alternatives and similar libraries
Based on the "Image Processing" category.
Alternatively, view VIGRA alternatives based on common mentions on social networks and blogs.
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OpenMVG (open Multiple View Geometry)
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion. -
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OpenImageIO
Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications. -
OpenEXR
The OpenEXR project provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry. -
ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions. -
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GDCM
Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm -
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AVIR
High-quality pro HDR image resizing / scaling C++ library, including a very fast, precise, SIMD Lanczos resizer (header-only C++) -
CxImage
An image processing and conversion library to load, save, display, transform BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K images. [zlib] -
SAIL
The missing small and fast image decoding library for humans (not for machines) ⛵ https://sail.software -
FreeImage
A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework. -
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FLOP
FLOꟼ - An MIT-licensed image viewer equipped with a GPU-accelerated perceptual image diffing algorithm based on ꟻLIP
InfluxDB - Power Real-Time Data Analytics at Scale
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
VIGRA Computer Vision Library
Copyright 1998-2013 by Ullrich Koethe
This file is part of the VIGRA computer vision library.
You may use, modify, and distribute this software according
to the terms stated in the LICENSE.txt file included in
the VIGRA distribution.
The VIGRA Website is
http://ukoethe.github.io/vigra/
Please direct questions, bug reports, and contributions to
[email protected] or
[email protected]
THIS SOFTWARE IS PROVIDED AS IS AND WITHOUT ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED
WARRANTIES OF MERCHANTIBILITY AND FITNESS FOR A PARTICULAR PURPOSE.
Installation
Installation instructions can be found in the file
$VIGRA_PATH/doc/vigra/Installation.html
If the documentation has not yet been generated (e.g. when you build from a development snapshot), you find these instructions in
$VIGRA_PATH/docsrc/installation.dxx
or online at http://ukoethe.github.io/vigra/doc-release/vigra/Installation.html
Documentation
If you downloaded an official release, the documentation can be found in $VIGRA_PATH/doc/vigra/, the start file
is $VIGRA_PATH/doc/vigra/index.html or online at http://ukoethe.github.io/vigra/#documentation.
When you use the development version from github, you can generate documentation by make doc.
Download
VIGRA can be downloaded at http://ukoethe.github.io/vigra/#download. The official development repository is at https://github.com/ukoethe/vigra
What is VIGRA
VIGRA is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principal know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment. Alternatively, you can also use the data structures provided within VIGRA, which can be easily adapted to a wide range of applications. VIGRA's flexibility comes almost for free: Since the design uses compile-time polymorphism (templates), performance of the compiled program approaches that of a traditional, hand tuned, inflexible, solution.
*Note that all licence references and agreements mentioned in the VIGRA README section above
are relevant to that project's source code only.