文件列表:

HOG descripoter\HOG\aclocal.m4 (262947, 2008-10-16)
HOG descripoter\HOG\app\classify_rhog.cpp (2880, 2009-03-07)
HOG descripoter\HOG\app\dump4svmlearn.cpp (6934, 2009-03-07)
HOG descripoter\HOG\app\dumpsegd.cpp (9728, 2008-10-16)
HOG descripoter\HOG\app\dump_rhog.cpp (2757, 2009-03-07)
HOG descripoter\HOG\app\formatstream.h (11070, 2007-06-12)
HOG descripoter\HOG\app\Makefile.am (1030, 2008-10-16)
HOG descripoter\HOG\app\Makefile.in (24001, 2008-10-16)
HOG descripoter\HOG\app\rawdescio.cpp (4601, 2009-03-07)
HOG descripoter\HOG\app\rawdescio.h (5703, 2009-03-07)
HOG descripoter\HOG\app\segobj.h (13971, 2006-05-22)
HOG descripoter\HOG\app\test_library.cpp (2350, 2009-03-07)
HOG descripoter\HOG\app\windetectmain.cpp (14230, 2009-03-07)
HOG descripoter\HOG\app\windetectmain.h (5269, 2009-03-07)
HOG descripoter\HOG\AUTHORS (1, 2007-06-12)
HOG descripoter\HOG\autom4te.cache\output.0 (819944, 2008-09-05)
HOG descripoter\HOG\autom4te.cache\output.1 (819374, 2008-09-05)
HOG descripoter\HOG\autom4te.cache\output.2 (802131, 2008-10-16)
HOG descripoter\HOG\autom4te.cache\output.3 (801561, 2008-10-16)
HOG descripoter\HOG\autom4te.cache\requests (24813, 2008-10-16)
HOG descripoter\HOG\autom4te.cache\traces.0 (482678, 2008-09-05)
HOG descripoter\HOG\autom4te.cache\traces.1 (57285, 2008-09-05)
HOG descripoter\HOG\autom4te.cache\traces.2 (471732, 2008-10-16)
HOG descripoter\HOG\autom4te.cache\traces.3 (58304, 2008-10-16)
HOG descripoter\HOG\bootstrap (910, 2008-09-05)
HOG descripoter\HOG\buildtest.sh (976, 2007-06-14)
HOG descripoter\HOG\ChangeLog (1, 2007-06-12)
HOG descripoter\HOG\cleanall (249, 2007-06-12)
HOG descripoter\HOG\config.guess (44878, 2008-09-05)
HOG descripoter\HOG\config.h.in (1855, 2008-09-05)
HOG descripoter\HOG\config.sub (33387, 2008-09-05)
HOG descripoter\HOG\configure (800445, 2008-10-16)
HOG descripoter\HOG\configure.in (5674, 2008-09-05)
HOG descripoter\HOG\COPYING (17993, 2007-06-12)
HOG descripoter\HOG\depcomp (17867, 2008-09-05)
HOG descripoter\HOG\Doxyfile (10185, 2007-06-12)
HOG descripoter\HOG\INSTALL (9127, 2007-06-12)
HOG descripoter\HOG\install-sh (13620, 2008-09-05)
HOG descripoter\HOG\lear\blitz\blitzio.h (7947, 2007-06-12)
HOG descripoter\HOG\lear\blitz\blitzutil.h (5350, 2007-06-12)
... ...

Author: Navneet Dalal (navneet.dalal@inrialpes.fr) === IMPORTANT NOTE ============================================================ I have limited capabilites for supporting the code. Hence the code below is provided as it is without any support. If you find some bugs, you may report to me and I will fix them. Even better, send the files you have fixed and I will upload them directly. === WINDOWS SUPPORT ========================================================== I have received lots of emails regarding providing the binaries/source for windows. Due to time-constraints, I will not be able to provide windows source/binaries. However if are really interested, it is not hard to compile it for windows. All you need to do is 1. Change image IO part in lear/image/imageio.h such that instead of using imlib2, it uses your image io libraries. 2. Fix painting classes lear/image/painter.h and lear/image/pimage.h such that it uses your painting routines. If you have created MS Visual C++ workspace, please send those files to me so that I can include them in the package. === SVM LEARN FILES ========================================================== This code does not build svm_learn binary. For that download http://pascal.inrialpes.fr/soft/olt/svmdense.tar.gz and build a svm_learn binary. A pre-built binary is already provided in the binary package. === GENERAL INFORMATION ======================================================= This code implements a multiscale detector for visual object recognition and notably for human detection. It requires three external libraries: -- Imlib2 for reading/writing images -- Blitz for efficient array processing -- Boost for many other general c++ utilities not present in ISO C++ Some portions of the code (notably the color conversion routines) contain sources adapted from the Vigra Image Processing library (http://kogs-www.informatik.uni-hamburg.de/~koethe/vigra/). Vigra is templated image processing library distributed under the MIT X11 license. Where ever Vigra code has been used, this is mentioned in the corresponding header file. A license file is included in the distribution. === INSTALLATION ============================================================== First install the development versions (*-devel RPM's or similar) of the three external libraries as follows, making sure that the headers and libraries are in your standard search paths : Imlib2 - version 1.2.2 tested Boost - version 1.33.1 or later Blitz - version 0.9 tested (installed from source as no RPM's are currently available) Then unpack the learcode.tar.gz file, change to it top level directory and run ./configure. If the libraries were installed in nonstandard places you can tell configure where to find them using, e.g. ./configure --with-blitz=/usr/local --with-boost=/usr/local ... === LICENSE =================================================================== This software is distributed under the "CeCILL-B FREE SOFTWARE LICENSE AGREEMENT" detailed in the LICENSE file, and subject to the additional requirement (Article 14) regarding acknowledgements. The following scientific publications contain the original descriptions of the method implemented in this Software: [1] Histograms of Oriented Gradients for Human Detection. Navneet Dalal and Bill Triggs. IEEE Conference on Computer Vision & Pattern Recognition (CVPR), vol. II, pages 886-893, June 2005. [3] Finding people in images and videos. Navneet Dalal. PhD thesis, Institut National Polytechnique de Grenoble, July 2006.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：