Vadim Pisarevsky
15 years ago
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<title>OpenCV ChangeLog</title> |
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<h2>2.1</h2> |
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<p class="Blurb"><i>(April, 2010)</i></p> |
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<pre> |
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OpenCV 2.1 is basically a stabilized OpenCV 2.0, yet there are a few new features. |
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|
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>>> General modifications |
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- SVN repository has been migrated from SourceForge to https://code.ros.org/svn/opencv. |
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The bug tracker has been moved to https://code.ros.org/trac/opencv/. |
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And we also have OpenCV twitter! http://twitter.com/opencvlibrary |
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|
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- The whole OpenCV is now using exceptions instead of the old libc-style mechanism. |
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That is, instead of checking error code with cvGetErrStatus() (which currently always returns 0) |
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you can now just call OpenCV functions inside C++ try-catch statements, |
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cv::Exception is now derived from std::exception. |
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|
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- OpenCV does not support autotools-based build scripts, |
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CMake (www.cmake.org) is the only way to build OpenCV on any OS. |
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See http://opencv.willowgarage.com/wiki/InstallGuide. |
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|
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- All the parallel loops in OpenCV have been converted from OpenMP |
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to Intel TBB (http://www.threadingbuildingblocks.org/). Thus parallel version of OpenCV |
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can now be built using MSVC 2008 Express Edition or using earlier than 4.2 versions of GCC. |
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|
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- SWIG-based Python wrappers are still included, |
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but they are not built by default and it's generally preferable to use the new wrappers. |
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The python samples have been rewritten by James Bowman to use the new-style Python wrappers, |
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which have been also created by James. |
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|
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- OpenCV can now be built and run in 64-bit mode on MacOSX 10.6 and Windows (see HighGUI and known problems below). |
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On Windows both MSVC 2008 and mingw64 are known to work. |
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|
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- In theory OpenCV is now able to determine the host CPU on-fly and make use of SSE/SSE2/... instructions, |
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if they are available. That is, it should be more safe to use WITH_SSE* flags in CMake. |
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However, if you want maximum portability, it's recommended to turn on just WITH_SSE and WITH_SSE2 |
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and leave other SSE* turned off, as we found that using WITH_SSE3, WITH_SSSE3 and WITH_SSE4_1 can yield |
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the code incompatible with Intel's pre-Penryn or AMD chips. |
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|
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- Experimental "static" OpenCV configuration in CMake was contributed by Jose Luis Blanco. |
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Pass "BUILD_SHARED_LIBS=OFF" to CMake to build OpenCV statically. |
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|
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>>> New functionality, features: |
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- cxcore, cv, cvaux: |
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* Grabcut (http://en.wikipedia.org/wiki/GrabCut) image segmentation algorithm has been implemented. |
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See opencv/samples/c/grabcut.cpp |
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* new improved version of one-way descriptor is added. See opencv/samples/c/one_way_sample.cpp |
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* modified version of H. Hirschmuller semi-global stereo matching algorithm that we call SGBM |
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(semi-global block matching) has been created. It is much faster than Kolmogorov's graph |
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cuts-based algorithm and yet it's usually better than the block matching StereoBM algorithm. |
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See opencv/samples/c/stereo_matching.cpp. |
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* existing StereoBM stereo correspondence algorithm by K. Konolige was noticeably improved: |
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added the optional left-right consistency check and speckle filtering, |
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improved performance (by ~20%). |
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* User can now control the image areas visible after the stereo rectification |
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(see the extended stereoRectify/cvStereoRectify), and also limit the region |
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where the disparity is computed (see CvStereoBMState::roi1, roi2; getValidDisparityROI). |
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* Mixture-of-Gaussian based background subtraction algorithm has been rewritten for better performance |
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and better accuracy. Alternative C++ interface BackgroundSubtractor has been provided, |
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along with the possibility to use the trained background model to segment the foreground |
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without updating the model. See opencv/samples/c/bgfg_segm.cpp. |
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- highgui: |
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* MacOSX: OpenCV now includes Cocoa and QTKit backends, in addition to Carbon and Quicktime. |
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Therefore you can build OpenCV as 64-bit library. Thanks to Andre Cohen and Nicolas Butko, which components |
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Note however that the backend are now in the alpha state, they can crash or leak memory, |
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so for anything more serious than quick experiments you may prefer to use Carbon and Quicktime. |
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To do that, pass USE_CARBON=ON and USE_QUICKTIME=ON to CMake and build OpenCV in 32-bit mode |
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(i.e. select i386 architecture in Xcode). |
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* Windows. OpenCV can now be built in 64-bit mode with MSVC 2008 and also mingw64. |
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* Fullscreen has been added (thanks to Yannick Verdie). |
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Call cvSetWindowProperty(window_name, CV_WINDOW_FULLSCREEN, 1) to make the particular window |
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to fill the whole screen. This feature is not supported in the Cocoa bindings yet. |
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* gstreamer backend has been improved a lot (thanks to Stefano Fabri) |
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>>> New tests: |
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- A few dozens of new tests have been written and many existing tests have been extended |
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to verify OpenCV correctness thoroughly. As a result, we brought the test coverage from |
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rather mediocre numbers to pretty impressive ones (especially for cxcore and cv)! |
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Module OpenCV 2.0 coverage OpenCV 2.1 |
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(functions/conditions) (functions/conditions) |
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cxcore 65/54 91/73 |
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cv 52/46 80/68 |
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ml 66/47 73/52 |
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highgui 17/3 54/27 |
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cvaux 0/0 5/12 |
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- Many new regression tests have been written in Python that check both OpenCV and the new-style bindings. |
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- The test data moved to the separate repository: https://code.ros.org/svn/opencv/trunk/opencv_extra/testdata. |
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And it is not included into the package, thus some tests from the cvtest and mltest will report about the missing data. |
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You can download the directory to your hard drive and run cvtest like: |
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./cvtest -d <path_to_opencv_extra>/testdata/cv |
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./mltest -d <path_to_opencv_extra>/testdata/ml |
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- The test engine has been improved: |
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added flags -tn, -seed, -r |
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the detailed information about failed tests is displayed right in the console. |
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>>> Bug fixes: |
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- about 200 bugs have been fixed. For the list of closed and still open bugs, please look at |
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https://code.ros.org/trac/opencv/report and |
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http://sourceforge.net/tracker/?group_id=22870&atid=376677. |
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|
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>>> Known problems/limitations. |
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- there are some sporadic test failures on different platforms. |
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Most probably they are caused by some very special test cases |
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(that are usually generated randomly on each test run) and the test cases |
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are not properly handled by the functions or by the tests. |
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Some of the tests have been reproduced and reported here: |
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https://code.ros.org/trac/opencv/ticket/29 |
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https://code.ros.org/trac/opencv/ticket/113 |
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https://code.ros.org/trac/opencv/ticket/114 |
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- the new Python bindings do not include interface for the new C++ functionality and MLL. |
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this is going to be addressed in some special intermediate OpenCV release |
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- documentation is also incomplete at the moment and there are occasional formatting, |
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grammar and semantical errors. |
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We continue to improve it on a regular basis. Please, check the up-to-date online |
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documentation at: |
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http://opencv.willowgarage.com/documentation/c/index.html (C) |
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http://opencv.willowgarage.com/documentation/cpp/index.html (C++) |
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http://opencv.willowgarage.com/documentation/python/index.html (Python) |
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|
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- please also check the list of open bugs at |
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https://code.ros.org/trac/opencv/report and |
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http://sourceforge.net/tracker/?group_id=22870&atid=376677. |
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</pre> |
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<hr><h2>2.0</h2> |
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<p class="Blurb"><i>(September, 2009)</i></p> |
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<pre> |
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>>> New functionality, features: |
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- General: |
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* Installation package on Windows has been fixed, |
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MinGW is used for precompiled binaries |
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(see the release notes on the SourceForge site) |
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* autotools-based build has been repaired |
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- MLL: |
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* The new-style class aliases (e.g. cv::SVM ~ CvSVM) and the train/predict methods, |
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taking cv::Mat in addition to CvMat, have been added. So now MLL can be used |
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more seamlesly with the rest of the restyled OpenCV. |
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|
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>>> Bug fixes: |
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- A _lot_ of bugs present in 2.0 beta have been fixed, see the OpenCV bug tracker |
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http://sourceforge.net/tracker/?group_id=22870&atid=376677 |
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Thanks to everybody who submitted bug reports and/or patches! |
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</pre> |
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|
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<hr><h2>2.0 beta</h2> |
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<p class="Blurb"><i>(September, 2009)</i></p> |
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<pre> |
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>>> New functionality, features: <<< |
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- General: |
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* The brand-new C++ interface for most of OpenCV functionality |
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(cxcore, cv, highgui) has been introduced. |
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Generally it means that you will need to do less coding to achieve the same results; |
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it brings automatic memory management and many other advantages. |
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See the C++ Reference section in opencv/doc/opencv.pdf and opencv/include/opencv/*.hpp. |
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The previous interface is retained and still supported. |
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* The source directory structure has been reogranized; now all the external headers are placed |
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in the single directory on all platforms. |
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* The primary build system is CMake, http://www.cmake.org (2.6.x is the preferable version). |
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+ In Windows package the project files for Visual Studio, makefiles for MSVC, |
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Borland C++ or MinGW are note supplied anymore; please, generate them using CMake. |
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+ In MacOSX the users can generate project files for Xcode. |
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+ In Linux and any other platform the users can generate project files for |
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cross-platform IDEs, such as Eclipse or Code Blocks, |
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or makefiles for building OpenCV from a command line. |
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* OpenCV repository has been converted to Subversion, hosted at SourceForge: |
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http://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary |
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where the very latest snapshot is at |
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http://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/trunk, |
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and the more or less stable version can be found at |
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http://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/tags/latest_tested_snapshot |
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- CXCORE, CV, CVAUX: |
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* CXCORE now uses Lapack (CLapack 3.1.1.1 in OpenCV 2.0) in its various linear algebra functions |
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(such as solve, invert, SVD, determinant, eigen etc.) and the corresponding old-style functions |
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(cvSolve, cvInvert etc.) |
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* Lots of new feature and object detectors and descriptors have been added |
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(there is no documentation on them yet), see cv.hpp and cvaux.hpp: |
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+ FAST - the fast corner detector, submitted by Edward Rosten |
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+ MSER - maximally stable extremal regions, submitted by Liu Liu |
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+ LDetector - fast circle-based feature detector by V. Lepetit (a.k.a. YAPE) |
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+ Fern-based point classifier and the planar object detector - |
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based on the works by M. Ozuysal and V. Lepetit |
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+ One-way descriptor - a powerful PCA-based feature descriptor, |
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(S. Hinterstoisser, O. Kutter, N. Navab, P. Fua, and V. Lepetit, |
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"Real-Time Learning of Accurate Patch Rectification"). |
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Contributed by Victor Eruhimov |
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+ Spin Images 3D feature descriptor - based on the A. Johnson PhD thesis; |
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implemented by Anatoly Baksheev |
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+ Self-similarity features - contributed by Rainer Leinhart |
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+ HOG people and object detector - the reimplementation of Navneet Dalal framework |
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(http://pascal.inrialpes.fr/soft/olt/). Currently, only the detection part is ported, |
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but it is fully compatible with the original training code. |
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See cvaux.hpp and opencv/samples/c/peopledetect.cpp. |
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+ Extended variant of the Haar feature-based object detector - implemented by Maria Dimashova. |
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It now supports Haar features and LBPs (local binary patterns); |
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other features can be more or less easily added |
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+ Adaptive skin detector and the fuzzy meanshift tracker - contributed by Farhad Dadgostar, |
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see cvaux.hpp and opencv/samples/c/adaptiveskindetector.cpp |
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* The new traincascade application complementing the new-style HAAR+LBP object detector has been added. |
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See opencv/apps/traincascade. |
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* The powerful library for approximate nearest neighbor search FLANN by Marius Muja |
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is now shipped with OpenCV, and the OpenCV-style interface to the library |
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is included into cxcore. See cxcore.hpp and opencv/samples/c/find_obj.cpp |
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* The bundle adjustment engine has been contributed by PhaseSpace; see cvaux.hpp |
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* Added dense optical flow estimation function (based on the paper |
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"Two-Frame Motion Estimation Based on Polynomial Expansion" by G. Farnerback). |
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See cv::calcOpticalFlowFarneback and the C++ documentation |
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* Image warping operations (resize, remap, warpAffine, warpPerspective) |
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now all support bicubic and Lanczos interpolation. |
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* Most of the new linear and non-linear filtering operations (filter2D, sepFilter2D, erode, dilate ...) |
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support arbitrary border modes and can use the valid image pixels outside of the ROI |
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(i.e. the ROIs are not "isolated" anymore), see the C++ documentation. |
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* The data can now be saved to and loaded from GZIP-compressed XML/YML files, e.g.: |
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cvSave("a.xml.gz", my_huge_matrix); |
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- MLL: |
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* Added the Extremely Random Trees that train super-fast, |
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comparing to Boosting or Random Trees (by Maria Dimashova). |
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* The decision tree engine and based on it classes |
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(Decision Tree itself, Boost, Random Trees) |
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have been reworked and now: |
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+ they consume much less memory (up to 200% savings) |
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+ the training can be run in multiple threads (when OpenCV is built with OpenMP support) |
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+ the boosting classification on numerical variables is especially |
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fast because of the specialized low-overhead branch. |
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* mltest has been added. While far from being complete, |
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it contains correctness tests for some of the MLL classes. |
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- HighGUI: |
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* [Linux] The support for stereo cameras (currently Videre only) has been added. |
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There is now uniform interface for capturing video from two-, three- ... n-head cameras. |
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* Images can now be compressed to or decompressed from buffers in the memory, |
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see the C++ HighGUI reference manual |
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- Documentation: |
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* The reference manual has been converted from HTML to LaTeX (by James Bowman and Caroline Pantofaru), |
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so there is now: |
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+ opencv.pdf for reading offline |
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+ and the online up-to-date documentation |
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(as the result of LaTeX->Sphinx->HTML conversion) available at |
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http://opencv.willowgarage.com/documentation/index.html |
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- Samples, misc.: |
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* Better eye detector has been contributed by Shiqi Yu, |
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see opencv/data/haarcascades/*[lefteye|righteye]*.xml |
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* sample LBP cascade for the frontal face detection |
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has been created by Maria Dimashova, |
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see opencv/data/lbpcascades/lbpcascade_frontalface.xml |
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* Several high-quality body parts and facial feature detectors |
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have been contributed by Modesto Castrillon-Santana, |
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see opencv/data/haarcascades/haarcascade_mcs*.xml |
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>>> Optimization: |
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* Many of the basic functions and the image processing operations |
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(like arithmetic operations, geometric image transformations, filtering etc.) |
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have got SSE2 optimization, so they are several times faster. |
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|
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- The model of IPP support has been changed. Now IPP is supposed to be |
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detected by CMake at the configuration stage and linked against OpenCV. |
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(In the beta it is not implemented yet though). |
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|
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* PNG encoder performance improved by factor of 4 by tuning the parameters |
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>>> Bug fixes: <<< |
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TBD |
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(see http://sourceforge.net/tracker/?group_id=22870&atid=376677 of the list |
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of the closed and still opened bugs). |
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Many thanks to everybody who submitted bug reports and/or provided the patches! |
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|
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>>> Known issues: |
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* configure+autotools based build is currently broken. |
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Please, use CMake. |
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* OpenCV bug tracker at SF still lists about 150 open bugs. |
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Some of them may be actually fixed already, and most of the remaining bugs |
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are going to be fixed by OpenCV 2.0 gold. |
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* IPP is not supported. As the new OpenCV includes a lot of SSE2 code, |
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it may be not such a serious problem, though. |
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The support (at least for most important functions that do not have |
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SSE2 optimization) will be returned in 2.0 gold. |
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* The documentation has been updated and improved a lot, but it still |
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needs quite a bit of work: |
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- some of the new functionality in cvaux is not described yet. |
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- the bibliography part is broken |
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- there are quite a few known bugs and typos there |
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- many of the hyperlinks are not working. |
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* The existing tests partly cover the new functionality |
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(via the old backward-compatibility OpenCV 1.x API), but the coverage is |
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not sufficient of course. |
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* The new-style Python interface is not included yet |
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|
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Many of the problems will be addressed in 2.0 gold. |
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If you have found some specific problem, please, put the record to the bug tracker: |
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http://sourceforge.net/tracker/?group_id=22870 |
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Better if the bug reports will include a small code sample in C++/python + |
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all the necessary data files needed to reproduce the problem. |
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</pre> |
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|
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<hr><h2>1.1pre1</h2> |
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<p class="Blurb"><i>(October, 2008)</i></p> |
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<pre> |
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>>> New functionality/features: <<< |
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|
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- General: |
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* Octave bindings have been added. See interfaces/swig/octave (for now, Linux only) |
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* [Windows] OpenCV is now built with VS2005 with SSE2 and OpenMP support |
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included (if you want to rebuild OpenCV using Express or |
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Standard Edition of VS, use _make\opencv.vs2005.no_openmp.sln). |
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* [Windows] Python bindings have been updated to use Python 2.6 |
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* [Windows] cvcam has been removed (as videoInput is now supported by highgui) |
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|
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- CXCORE, CV, CVAUX: |
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* Speeded-up Robust Features (SURF), contributed by Liu Liu. |
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see samples/c/find_obj.cpp and the documentation opencvref_cv.htm |
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* Many improvements in camera calibration: |
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- Added stereo camera calibration: cvStereoCalibrate, cvStereoRectify etc. |
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- Single camera calibration now uses Levenberg-Marquardt method and supports |
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extra flags to switch on/off optimization of individual camera parameters |
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- The optional 3rd radial distortion parameter (k3*r^6) is now supported in |
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every calibration-related function |
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* 2 stereo correspondence algorithms: |
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- very fast block matching method by Kurt Konolige |
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(processes the Tsukuba stereo pair in <10ms on Core2Duo laptop) |
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- slow but more accurate graph-cut based algorithm by Kolmogorov and Zabin |
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* Better homography estimation algorithms (RANSAC and LMEDs) |
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* new C++ template image classes contributed by Daniel Filip (Google inc.). |
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see opencv/cxcore/include/cvwimage.h |
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* Fast approximate nearest neighbor search (by Xavier Delacour) |
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* Codebook method for background/foreground segmentation (by Gary Bradski) |
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* Sort function (contributed by Shiqi Yu) |
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* [OpenCV+IPP] Face Detection (cvHaarDetectObjects) now runs much faster |
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(up to 2x faster) when using IPP 5.3 or higher. |
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* Much faster (~4x faster) fixed-point variant of cvRemap has been added |
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|
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- MLL: |
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* Python bindings for MLL have been added. There are no samples yet. |
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|
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- HighGUI: |
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* [Windows, 32bit] Added support for videoInput library. |
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Hence, cvcam is [almost] not needed anymore |
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* [Windows, 32bit] FFMPEG can now be used for video decoding/encoding |
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via ffopencv*.dll |
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* [Linux] Added unicap support |
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* Improved internal video capturing and video encoding APIs |
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|
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- Documentation: |
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* OpenCV book has been published (sold separately :) see docs/index.htm) |
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|
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- New samples (opencv/samples): |
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* Many Octave samples |
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* find_obj.cpp (SURF), bgfg_codebook.cpp (Codebook BG/FG segmentation), |
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stereo_calib.cpp (Stereo calibration and stereo correspondence) |
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|
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>>> Bug fixes: <<< |
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Many thanks to everybody who submitted bug reports and/or provided the patches! |
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|
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* added dma_unlisten to icvCloseCAM_DC1394 (thanks to Victor Benso) |
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* LMEDs algorithm for cvFindFundamentalMat estimation has been fixed |
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* Broken debug build of highgui in VS2005/2008 (SF #2056185, SF #1709435) |
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* cvFindChessboardCorners memory leak and incorrect size checks |
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(SF #1972896, SF #1910323) |
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* disabling GTK causes v4l runtime error (SF #2088102) |
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* cvsetmousecallback bug (SF #2053529) |
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* libhighgui needed deprecated "img_convert" replacement (SF #2011753) |
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* Segfault in createsamples caused by uninitialized variable (SF #1977989) |
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* Data Alignment Issue in bgfg_gaussmix (SF #1961755) |
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* libpng need to be updated (SF #1952793) |
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* cvCreateVideoWriter_Win32 - identifier not found (SF #1944254) |
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* Bug in cvmorph.cpp (SF #1908844) |
||||
* dilate (cvDilate) works bogus with default kernel (SF #1887130) |
||||
* CvEM non-default constructor declared but not defined (SF #1830346) |
||||
* cvFloodFill (in ver 1.0) Hangs (SF #1790565) |
||||
* double delete in CvImage (SF #1733437) |
||||
* cvFilter2D anchor default value is not working properly (SF #1713779) |
||||
* cvCvtColor - Bug? in converting HSV2RGB (SF #1676344) |
||||
* Invalid selection of the MKL-dll version in cvUseOptimized() (SF #1633017) |
||||
* ... |
||||
|
||||
>>> Known issues: |
||||
* Borland compiler is not supported (but might work) in this update. |
||||
* 64-bit Windows is not supported (but might work) in this update. |
||||
* SF bug tracker still contains over 50 records of open bugs. |
||||
Many of them will be addressed in the next update. |
||||
</pre> |
||||
|
||||
<hr><h2>1.0</h2> |
||||
<p class="Blurb"><i>(October, 2006)</i></p> |
||||
|
||||
<pre> |
||||
>>> New functionality/features: <<< |
||||
|
||||
- General: |
||||
* Windows installation package now includes precompiled Python module |
||||
* Borland C++ (v5.6+) makefiles re-added (see _make\make_all_bc.mak) |
||||
|
||||
- CV: |
||||
* Inpainting was added, see samples/c/inpaint.cpp |
||||
(thanks to Alexander Kibkalo and Alexey Kalinichenko) |
||||
|
||||
- MLL: |
||||
* Boosted tree classifiers added, see MLL reference manual |
||||
|
||||
- HighGUI: |
||||
* Jpeg2000 and EXR support in highgui using JasPer and OpenEXR (thanks to Nils Hasler) |
||||
OpenEXR is not built-in to highgui on Windows by default. See |
||||
otherlibs/_graphics/readme.txt. |
||||
* >8-bit image input/output for PNG, Jpeg2000 and OpenEXR (thanks to Nils Hasler) |
||||
* Updated CMUcamera wrapper. |
||||
* Several V4L2 improvements and fixes |
||||
|
||||
- New samples (opencv/samples): |
||||
* Camera calibration sample: calibrate.cpp |
||||
* Inpainting sample: inpaint.cpp |
||||
* Letter recognition using the existing database with |
||||
random trees/boosted trees/neural nets: leter_recog.cpp |
||||
* A few new Python samples. |
||||
|
||||
- Tests: |
||||
* Most old cv tests have been rewritten/converted to use cxts instead of trs. |
||||
TRS is not used by the tests anymore. |
||||
|
||||
>>> Bug fixes: <<< |
||||
Many thanks to everybody who submitted bug reports and/or provided the patches! |
||||
|
||||
* Incorrect normalization in cvFindFundamentalMat (SF #1550855) |
||||
* Occasional cvGetQuadrangleSubPix crashes (SF #1549168) |
||||
* Occasional cvCalcOpticalFlowPyrLK crashes |
||||
* Internal GCC 3.x error in cvFloor/cvCeil (SF #1546657) |
||||
* Several Python-related bugs (SF #1570109, SF #1572800, SF #1543593) |
||||
* Bugs in contour processing/rendering (SF #1550889, |
||||
* x86-64 related bugs (SF #1526133, SF #1527997) |
||||
* OpenCV dispatcher tried to load old versions of IPP (pre 4.x) |
||||
that caused many failures (see SF #1555093, for example) |
||||
* Inaccurate results in some cases in cvFitEllipse, cvFitLine, cvHoughCircles. |
||||
* Severe bug in Bayesian classifier, broken regression tree in MLL |
||||
* Overflow in blurring filter |
||||
* cvSaveImage() modified saved images leading to potential problems in threaded apps. |
||||
* Numeric values in XML/YAML were emitted/parsed incorrectly |
||||
on some non-US locales in Linux |
||||
* VS2005 Express/Standard Editions could not build OpenCV |
||||
(due to missing OpenMP support) |
||||
* ... |
||||
|
||||
>>> Known issues: |
||||
* Certain tests may fail on IA64 (Itanium), e.g. |
||||
gaussian filter, fundamental matrix estimation, chessboard detector. |
||||
... |
||||
</pre> |
||||
</body> |
||||
</html> |
||||
@ -1,116 +0,0 @@ |
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN"> |
||||
<html><head> |
||||
<title>OpenCV Documentation</title> |
||||
</head><body> |
||||
|
||||
<center><table cellspacing=0 cellpadding=5 bgcolor="#6a9bed"> |
||||
<tr> |
||||
<td rowspan="2"> |
||||
<img src="opencv-logo.png" width="200"></td> |
||||
<td> |
||||
<center><i><font color="#000000"><font size=+4> |
||||
Open Source Computer Vision Library |
||||
</font></font></i></center> |
||||
</td> |
||||
</tr> |
||||
</table></center> |
||||
|
||||
<!-- <p align="center"><img src="opencv.jpg"></a></p> |
||||
|
||||
<hr>--> |
||||
|
||||
<h1>What is OpenCV</h1> |
||||
|
||||
<p>OpenCV means Open Source Computer Vision Library. |
||||
It is a collection of C functions and a few C++ classes that implement |
||||
many popular Image Processing and Computer Vision algorithms.</p> |
||||
|
||||
<hr> |
||||
<h1><a name="#ref">OpenCV Book</a></h1> |
||||
|
||||
The official book for OpenCV is published by O'Reilly Press |
||||
Learning OpenCV Computer Vision with the OpenCV Library |
||||
by Gary Bradski and Adrian Kaehler |
||||
<a href="http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134"> |
||||
http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134 |
||||
</a> |
||||
|
||||
<p> |
||||
This book is: |
||||
<ol> |
||||
<li>A tutorial on computer vision in general |
||||
<li>A user's guide to OpenCV |
||||
<li>A source of useful working sample code and detailed function descriptions. |
||||
</ol> |
||||
|
||||
<hr> |
||||
|
||||
<h1>The key features</h1> |
||||
|
||||
<p>OpenCV provides cross-platform middle-to-high level API that includes |
||||
about 300 functions and a few C++ classes. Also there are |
||||
constantly improving Python bindings to OpenCV, see |
||||
interfaces/swig/python and samples/python. |
||||
OpenCV has no strict dependencies on external libraries, |
||||
though it can use some (such as libjpeg, ffmpeg, GTK+ etc.) |
||||
when it is possible.</p> |
||||
|
||||
<p>OpenCV is free for both non-commercial and commercial use |
||||
(see the <a href="license.txt">license</a> for details).</p> |
||||
|
||||
<p><a name="#ipp">OpenCV can be built with Intel® Integrated Performance |
||||
Primitives (IPP).</a> |
||||
This makes it fast on all the architectures supported by the library, |
||||
where the optimal code for each host architecture is chosen at runtime. |
||||
|
||||
More information about IPP can be retrieved at |
||||
<a href="http://www.intel.com/software/products/ipp/index.htm"> |
||||
http://www.intel.com/software/products/ipp/index.htm</a></p> |
||||
|
||||
Then, OpenCV itself can be built with <a href="http://www.threadingbuildingblocks.org/">TBB</a> |
||||
support, and, starting with v2.0, |
||||
OpenCV also includes SSE2-optimized code, so many of the functions run significantly |
||||
faster on the modern 32-bit x86 and 64-bit x64 platforms, and even faster on dual-, |
||||
quad- and many-core systems. |
||||
|
||||
<hr> |
||||
|
||||
<h1>Who created it</h1> |
||||
The list of authors and major contributors can be found at |
||||
<a href="http://opencv.willowgarage.com/wiki/Contributors">http://opencv.willowgarage.com/wiki/Contributors</a>.</p> |
||||
<hr> |
||||
|
||||
<h1>What's New</h1> |
||||
<p>See the <a href="ChangeLog.htm">ChangeLog</a>. |
||||
<hr> |
||||
|
||||
<h1>Where to get OpenCV</h1> |
||||
<p>Go <a href="http://www.sourceforge.net/projects/opencvlibrary">http://www.sourceforge.net/projects/opencvlibrary</a>. |
||||
If it does not work, type "OpenCV" in |
||||
<a href="http://www.google.com/search?hl=en&ie=UTF-8&q=opencv+computer+vision&btnG=%D0%9F%D0%BE%D0%B8%D1%81%D0%BA&lr=">Google (http://www.google.com)</a>.</p> |
||||
|
||||
<hr> |
||||
<h1>How to build it</h1> |
||||
<p>See the installation guide: <a href="http://opencv.willowgarage.com/wiki/InstallGuide">http://opencv.willowgarage.com/wiki/InstallGuide</a>. |
||||
|
||||
<hr> |
||||
|
||||
<h1><a name="troubleshooting">If you have a problem with installing/running/using OpenCV</a></h1> |
||||
|
||||
<ol> |
||||
<li>Visit OpenCV Wiki-pages at |
||||
<a href="http://opencv.willowgarage.com/wiki/">http://opencv.willowgarage.com/wiki/</a> and |
||||
look for the information there (and/or add it when you have found a solution) |
||||
<li>Search through OpenCV archives at www.yahoogroups.com |
||||
(<a href="http://groups.yahoo.com/group/OpenCV/">http://groups.yahoo.com/group/OpenCV/</a>) |
||||
<li>Join OpenCV mailing list at yahoo groups (see FAQs on how to do it) and mail your questions |
||||
(the mailing list will probably migrate to |
||||
<a href="http://www.sourceforge.net/projects/opencvlibrary">OpenCV's SourceForge site</a>) |
||||
<li>Look at the OpenCV sample code, read the reference manual <a href="opencv.pdf">offline in PDF</a> |
||||
or online (<a href="http://opencv.willowgarage.com/documentation/c/index.html">C</a>, |
||||
<a href="http://opencv.willowgarage.com/documentation/cpp/index.html">C++</a> and |
||||
<a href="http://opencv.willowgarage.com/documentation/python/index.html">Python</a>). |
||||
|
||||
</ol> |
||||
|
||||
</body></html> |
||||
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