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------------------------------------ RAVL, Recognition And Vision Library ------------------------------------ RAVL provides a base C++ class library, together with a range of computer vision, pattern recognition classes and supporting tools. The aim of RAVL is to move software developed within the Centre for Vision, Speech and Signal Processing at the University of Surrey, England for research purposes into the public domain and to support its use in a wider community. Why should you use this library? + It has a simple user interface: the user does not have to use pointers or deal with heap management. (Java programmers should find the interface reasonably familiar.) + It has an I/O library that supports a wide range of file formats and devices in a consistent manner (including image, video and audio). Type conversion between file formats can be handled transparently. + It uses reference counting for large objects, making them thread-safe for multi-threaded applications + It is freely available from SourceForge (http://sourceforge.net/projects/ravl) + It is distributed under the GNU Lesser General Public License + It is straightforward to port to any operating system / platform that conforms to the Posix standard, has an ANSII C++ compiler and a make utility that supports the GNU extensions to that program. Contributions to the library or suggestions on how it can be improved are welcome they can be posted via the sourceforge web pages ( http://sourceforge.net/projects/ravl ) or sent directly to me at john.field@surrey.ac.uk PREFACE TO THE 1.1.10 RELEASE ---------------------------- Version 1.1 of RAVL introduces the use of the GNU AutoTools for the installation process. This greatly simplifies the initial configuration of the environment needed to build RAVL. RAVL can now automatically determine what external libraries are available on your system and use them as is appropriate. Please refer to the enclosed INSTALL file for details on installing RAVL on UNIX and UNIX-like systems. Revision 1.1 of RAVL also moves to providing all of the class libraries in a single library file. This greatly simplifies the use of the class library as there is no longer a need to link with the correct list of multiple libraries, just the one RAVL library is needed. To this end, the user may now employ the build tool of their choice and it is no longer necessary to build client projects using the QMake utility. The user may configure their build system either by manually declaring where the RAVL library and header files have been installed or, if their build tool supports it, by directing it to use the pkg-config utility which RAVL now supports. When using QMake to build projects that use RAVL, the new single library will automatically be used. Regardless of whether or not a SHAREDBUILD=1 build is being undertaken, QMake will now link to the libRavl.so single, shared library when building project binaries. It is possible to ask QMake to use the original "Multi" RAVL libraries (libRavlExtImgIO; libRavlCore; etc.) by using the setting USE_SINGLE_Ravl=0 on your qm command; e.g.: qm USE_SINGLE_Ravl=0 opt would build an optimised version of your application that was linked against the RAVL "Multi" libraries, much as for earlier revisions of RAVL. In order to use the Multi libraries, they must have first been installed. By default only the single RAVL library is built and installed by the RAVL INSTALL procedure. To make the Multi libraries available, the installer must additionally perform the following procedure after the normal INSTALL process: make optshared opt make installoptsharedlib installopt this will build and then install the Multi libraries in both shared and static form. LICENSE ------- The RAVL libraries are distributed under the GNU LESSER GENERAL PUBLIC LICENSE (LGPL), however some of the tools built with the library have been issued under the more restrictive GNU GENERAL PUBLIC LICENSE, the headers attached to each of the files in the project indicate which of these apply. A copy of each software license is provided for information in the files COPYING and COPYING.LESSER. ACKNOWLEDGEMENTS ---------------- RAVL was originally derived from AMMA, written by Radek Marik with help from many other members of CVSSP. The work of porting AMMA to RAVL was largely undertaken by Charles Galambos, again with help from other members of CVSSP. The RavlMath library includes ccmath, written by Daniel A. Atkinson. RAVL is currently maintained by members of CVSSP and Omniperception. DOCUMENTATION ------------- A full suite of on-line documentation (including an on-line manual and slides for an introductory presentation) is available from: http://www.ee.surrey.ac.uk/CVSSP/Ravl
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