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1. Input/OutputArray optimizations;
2. Algorithm::load/save added (moved from StatModel) 3. copyrights updated; added copyright/licensing info for ffmpeg 4. some warnings from Xcode 6.x are fixed
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42
3rdparty/ffmpeg/build_win32.txt
vendored
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42
3rdparty/ffmpeg/build_win32.txt
vendored
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@ -0,0 +1,42 @@
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The build script is to be fixed.
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Right now it assumes that 32-bit MinGW is in the system path and
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64-bit mingw is installed to c:\Apps\MinGW64.
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It is important that gcc is used, not g++!
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Otherwise the produced DLL will likely be dependent on libgcc_s_dw2-1.dll or similar DLL.
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While we want to make the DLLs with minimum dependencies: Win32 libraries + msvcrt.dll.
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ffopencv.c is really a C++ source, hence -x c++ is used.
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How to update opencv_ffmpeg.dll and opencv_ffmpeg_64.dll when a new version of FFMPEG is release?
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1. Install 32-bit MinGW + MSYS from
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http://sourceforge.net/projects/mingw/files/Automated%20MinGW%20Installer/mingw-get-inst/
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Let's assume, it's installed in C:\MSYS32.
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2. Install 64-bit MinGW. http://mingw-w64.sourceforge.net/
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Let's assume, it's installed in C:\MSYS64
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3. Copy C:\MSYS32\msys to C:\MSYS64\msys. Edit C:\MSYS64\msys\etc\fstab, change C:\MSYS32 to C:\MSYS64.
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4. Now you have working MSYS32 and MSYS64 environments.
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Launch, one by one, C:\MSYS32\msys\msys.bat and C:\MSYS64\msys\msys.bat to create your home directories.
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4. Download ffmpeg-x.y.z.tar.gz (where x.y.z denotes the actual ffmpeg version).
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Copy it to C:\MSYS{32|64}\msys\home\<loginname> directory.
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5. To build 32-bit ffmpeg libraries, run C:\MSYS32\msys\msys.bat and type the following commands:
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5.1. tar -xzf ffmpeg-x.y.z.tar.gz
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5.2. mkdir build
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5.3. cd build
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5.4. ../ffmpeg-x.y.z/configure --enable-w32threads
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5.5. make
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5.6. make install
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5.7. cd /local/lib
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5.8. strip -g *.a
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6. Then repeat the same for 64-bit case. The output libs: libavcodec.a etc. need to be renamed to libavcodec64.a etc.
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7. Then, copy all those libs to <opencv>\3rdparty\lib\, copy the headers to <opencv>\3rdparty\include\ffmpeg_.
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8. Then, go to <opencv>\3rdparty\ffmpeg, edit make.bat
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(change paths to the actual paths to your msys32 and msys64 distributions) and then run make.bat
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520
3rdparty/ffmpeg/license.txt
vendored
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520
3rdparty/ffmpeg/license.txt
vendored
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@ -0,0 +1,520 @@
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Copyright (C) 2001 Fabrice Bellard
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FFmpeg is free software; you can redistribute it and/or
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||||
modify it under the terms of the GNU Lesser General Public
|
||||
License as published by the Free Software Foundation; either
|
||||
version 2.1 of the License, or (at your option) any later version.
|
||||
|
||||
FFmpeg is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
||||
Lesser General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Lesser General Public
|
||||
License along with FFmpeg; if not, write to the Free Software
|
||||
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
||||
|
||||
==================================================================================
|
||||
|
||||
GNU LESSER GENERAL PUBLIC LICENSE
|
||||
Version 2.1, February 1999
|
||||
|
||||
Copyright (C) 1991, 1999 Free Software Foundation, Inc.
|
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
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Everyone is permitted to copy and distribute verbatim copies
|
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|
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[This is the first released version of the Lesser GPL. It also counts
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as the successor of the GNU Library Public License, version 2, hence
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the version number 2.1.]
|
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Preamble
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attempt otherwise to copy, modify, sublicense, link with, or
|
||||
distribute the Library is void, and will automatically terminate your
|
||||
rights under this License. However, parties who have received copies,
|
||||
or rights, from you under this License will not have their licenses
|
||||
terminated so long as such parties remain in full compliance.
|
||||
|
||||
9. You are not required to accept this License, since you have not
|
||||
signed it. However, nothing else grants you permission to modify or
|
||||
distribute the Library or its derivative works. These actions are
|
||||
prohibited by law if you do not accept this License. Therefore, by
|
||||
modifying or distributing the Library (or any work based on the
|
||||
Library), you indicate your acceptance of this License to do so, and
|
||||
all its terms and conditions for copying, distributing or modifying
|
||||
the Library or works based on it.
|
||||
|
||||
10. Each time you redistribute the Library (or any work based on the
|
||||
Library), the recipient automatically receives a license from the
|
||||
original licensor to copy, distribute, link with or modify the Library
|
||||
subject to these terms and conditions. You may not impose any further
|
||||
restrictions on the recipients' exercise of the rights granted herein.
|
||||
You are not responsible for enforcing compliance by third parties with
|
||||
this License.
|
||||
|
||||
11. If, as a consequence of a court judgment or allegation of patent
|
||||
infringement or for any other reason (not limited to patent issues),
|
||||
conditions are imposed on you (whether by court order, agreement or
|
||||
otherwise) that contradict the conditions of this License, they do not
|
||||
excuse you from the conditions of this License. If you cannot
|
||||
distribute so as to satisfy simultaneously your obligations under this
|
||||
License and any other pertinent obligations, then as a consequence you
|
||||
may not distribute the Library at all. For example, if a patent
|
||||
license would not permit royalty-free redistribution of the Library by
|
||||
all those who receive copies directly or indirectly through you, then
|
||||
the only way you could satisfy both it and this License would be to
|
||||
refrain entirely from distribution of the Library.
|
||||
|
||||
If any portion of this section is held invalid or unenforceable under any
|
||||
particular circumstance, the balance of the section is intended to apply,
|
||||
and the section as a whole is intended to apply in other circumstances.
|
||||
|
||||
It is not the purpose of this section to induce you to infringe any
|
||||
patents or other property right claims or to contest validity of any
|
||||
such claims; this section has the sole purpose of protecting the
|
||||
integrity of the free software distribution system which is
|
||||
implemented by public license practices. Many people have made
|
||||
generous contributions to the wide range of software distributed
|
||||
through that system in reliance on consistent application of that
|
||||
system; it is up to the author/donor to decide if he or she is willing
|
||||
to distribute software through any other system and a licensee cannot
|
||||
impose that choice.
|
||||
|
||||
This section is intended to make thoroughly clear what is believed to
|
||||
be a consequence of the rest of this License.
|
||||
|
||||
12. If the distribution and/or use of the Library is restricted in
|
||||
certain countries either by patents or by copyrighted interfaces, the
|
||||
original copyright holder who places the Library under this License may add
|
||||
an explicit geographical distribution limitation excluding those countries,
|
||||
so that distribution is permitted only in or among countries not thus
|
||||
excluded. In such case, this License incorporates the limitation as if
|
||||
written in the body of this License.
|
||||
|
||||
13. The Free Software Foundation may publish revised and/or new
|
||||
versions of the Lesser General Public License from time to time.
|
||||
Such new versions will be similar in spirit to the present version,
|
||||
but may differ in detail to address new problems or concerns.
|
||||
|
||||
Each version is given a distinguishing version number. If the Library
|
||||
specifies a version number of this License which applies to it and
|
||||
"any later version", you have the option of following the terms and
|
||||
conditions either of that version or of any later version published by
|
||||
the Free Software Foundation. If the Library does not specify a
|
||||
license version number, you may choose any version ever published by
|
||||
the Free Software Foundation.
|
||||
|
||||
14. If you wish to incorporate parts of the Library into other free
|
||||
programs whose distribution conditions are incompatible with these,
|
||||
write to the author to ask for permission. For software which is
|
||||
copyrighted by the Free Software Foundation, write to the Free
|
||||
Software Foundation; we sometimes make exceptions for this. Our
|
||||
decision will be guided by the two goals of preserving the free status
|
||||
of all derivatives of our free software and of promoting the sharing
|
||||
and reuse of software generally.
|
||||
|
||||
NO WARRANTY
|
||||
|
||||
15. BECAUSE THE LIBRARY IS LICENSED FREE OF CHARGE, THERE IS NO
|
||||
WARRANTY FOR THE LIBRARY, TO THE EXTENT PERMITTED BY APPLICABLE LAW.
|
||||
EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR
|
||||
OTHER PARTIES PROVIDE THE LIBRARY "AS IS" WITHOUT WARRANTY OF ANY
|
||||
KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE
|
||||
LIBRARY IS WITH YOU. SHOULD THE LIBRARY PROVE DEFECTIVE, YOU ASSUME
|
||||
THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
||||
|
||||
16. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN
|
||||
WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY
|
||||
AND/OR REDISTRIBUTE THE LIBRARY AS PERMITTED ABOVE, BE LIABLE TO YOU
|
||||
FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR
|
||||
CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE
|
||||
LIBRARY (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING
|
||||
RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A
|
||||
FAILURE OF THE LIBRARY TO OPERATE WITH ANY OTHER SOFTWARE), EVEN IF
|
||||
SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH
|
||||
DAMAGES.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
How to Apply These Terms to Your New Libraries
|
||||
|
||||
If you develop a new library, and you want it to be of the greatest
|
||||
possible use to the public, we recommend making it free software that
|
||||
everyone can redistribute and change. You can do so by permitting
|
||||
redistribution under these terms (or, alternatively, under the terms of the
|
||||
ordinary General Public License).
|
||||
|
||||
To apply these terms, attach the following notices to the library. It is
|
||||
safest to attach them to the start of each source file to most effectively
|
||||
convey the exclusion of warranty; and each file should have at least the
|
||||
"copyright" line and a pointer to where the full notice is found.
|
||||
|
||||
<one line to give the library's name and a brief idea of what it does.>
|
||||
Copyright (C) <year> <name of author>
|
||||
|
||||
This library is free software; you can redistribute it and/or
|
||||
modify it under the terms of the GNU Lesser General Public
|
||||
License as published by the Free Software Foundation; either
|
||||
version 2.1 of the License, or (at your option) any later version.
|
||||
|
||||
This library is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
||||
Lesser General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Lesser General Public
|
||||
License along with this library; if not, write to the Free Software
|
||||
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
||||
|
||||
Also add information on how to contact you by electronic and paper mail.
|
||||
|
||||
You should also get your employer (if you work as a programmer) or your
|
||||
school, if any, to sign a "copyright disclaimer" for the library, if
|
||||
necessary. Here is a sample; alter the names:
|
||||
|
||||
Yoyodyne, Inc., hereby disclaims all copyright interest in the
|
||||
library `Frob' (a library for tweaking knobs) written by James Random Hacker.
|
||||
|
||||
<signature of Ty Coon>, 1 April 1990
|
||||
Ty Coon, President of Vice
|
||||
|
||||
That's all there is to it!
|
70
3rdparty/ffmpeg/readme.txt
vendored
70
3rdparty/ffmpeg/readme.txt
vendored
@ -1,42 +1,32 @@
|
||||
The build script is to be fixed.
|
||||
Right now it assumes that 32-bit MinGW is in the system path and
|
||||
64-bit mingw is installed to c:\Apps\MinGW64.
|
||||
* On Linux and other Unix flavors OpenCV uses default or user-built ffmpeg/libav libraries.
|
||||
If user builds ffmpeg/libav from source and wants OpenCV to stay BSD library, not GPL/LGPL,
|
||||
he/she should use --enabled-shared configure flag and make sure that no GPL components are
|
||||
enabled (some notable examples are x264 (H264 encoder) and libac3 (Dolby AC3 audio codec)).
|
||||
See https://www.ffmpeg.org/legal.html for details.
|
||||
|
||||
If you want to play very safe and do not want to use FFMPEG at all, regardless of whether it's installed on
|
||||
your system or not, configure and build OpenCV using CMake with WITH_FFMPEG=OFF flag. OpenCV will then use
|
||||
AVFoundation (OSX), GStreamer (Linux) or other available backends supported by opencv_videoio module.
|
||||
|
||||
There is also our self-contained motion jpeg codec, which you can use without any worries.
|
||||
It handles CV_FOURCC('M', 'J', 'P', 'G') streams within an AVI container (".avi").
|
||||
|
||||
* On Windows OpenCV uses pre-built ffmpeg binaries, built with proper flags (without GPL components) and
|
||||
wrapped with simple, stable OpenCV-compatible API.
|
||||
The binaries are opencv_ffmpeg.dll (version for 32-bit Windows) and
|
||||
opencv_ffmpeg_64.dll (version for 64-bit Windows).
|
||||
|
||||
See build_win32.txt for the build instructions, if you want to rebuild opencv_ffmpeg*.dll from scratch.
|
||||
|
||||
It is important that gcc is used, not g++!
|
||||
Otherwise the produced DLL will likely be dependent on libgcc_s_dw2-1.dll or similar DLL.
|
||||
While we want to make the DLLs with minimum dependencies: Win32 libraries + msvcrt.dll.
|
||||
The pre-built opencv_ffmpeg*.dll is:
|
||||
* LGPL library, not BSD libraries.
|
||||
* Loaded at runtime by opencv_videoio module.
|
||||
If it succeeds, ffmpeg can be used to decode/encode videos;
|
||||
otherwise, other API is used.
|
||||
|
||||
ffopencv.c is really a C++ source, hence -x c++ is used.
|
||||
|
||||
How to update opencv_ffmpeg.dll and opencv_ffmpeg_64.dll when a new version of FFMPEG is release?
|
||||
|
||||
1. Install 32-bit MinGW + MSYS from
|
||||
http://sourceforge.net/projects/mingw/files/Automated%20MinGW%20Installer/mingw-get-inst/
|
||||
Let's assume, it's installed in C:\MSYS32.
|
||||
2. Install 64-bit MinGW. http://mingw-w64.sourceforge.net/
|
||||
Let's assume, it's installed in C:\MSYS64
|
||||
3. Copy C:\MSYS32\msys to C:\MSYS64\msys. Edit C:\MSYS64\msys\etc\fstab, change C:\MSYS32 to C:\MSYS64.
|
||||
|
||||
4. Now you have working MSYS32 and MSYS64 environments.
|
||||
Launch, one by one, C:\MSYS32\msys\msys.bat and C:\MSYS64\msys\msys.bat to create your home directories.
|
||||
|
||||
4. Download ffmpeg-x.y.z.tar.gz (where x.y.z denotes the actual ffmpeg version).
|
||||
Copy it to C:\MSYS{32|64}\msys\home\<loginname> directory.
|
||||
|
||||
5. To build 32-bit ffmpeg libraries, run C:\MSYS32\msys\msys.bat and type the following commands:
|
||||
|
||||
5.1. tar -xzf ffmpeg-x.y.z.tar.gz
|
||||
5.2. mkdir build
|
||||
5.3. cd build
|
||||
5.4. ../ffmpeg-x.y.z/configure --enable-w32threads
|
||||
5.5. make
|
||||
5.6. make install
|
||||
5.7. cd /local/lib
|
||||
5.8. strip -g *.a
|
||||
|
||||
6. Then repeat the same for 64-bit case. The output libs: libavcodec.a etc. need to be renamed to libavcodec64.a etc.
|
||||
|
||||
7. Then, copy all those libs to <opencv>\3rdparty\lib\, copy the headers to <opencv>\3rdparty\include\ffmpeg_.
|
||||
|
||||
8. Then, go to <opencv>\3rdparty\ffmpeg, edit make.bat
|
||||
(change paths to the actual paths to your msys32 and msys64 distributions) and then run make.bat
|
||||
If LGPL/GPL software can not be supplied with your OpenCV-based product, simply exclude
|
||||
opencv_ffmpeg*.dll from your distribution; OpenCV will stay fully functional except for the ability to
|
||||
decode/encode videos using FFMPEG (though, it may still be able to do that using other API,
|
||||
such as Video for Windows, Windows Media Foundation or our self-contained motion jpeg codec).
|
||||
|
||||
See license.txt for the FFMPEG copyright notice and the licensing terms.
|
||||
|
44
3rdparty/readme.txt
vendored
44
3rdparty/readme.txt
vendored
@ -6,41 +6,34 @@ In order to use these versions of libraries instead of system ones on UNIX syste
|
||||
should use BUILD_<library_name> CMake flags (for example, BUILD_PNG for the libpng library).
|
||||
|
||||
------------------------------------------------------------------------------------
|
||||
libjpeg 8d (8.4) - The Independent JPEG Group's JPEG software.
|
||||
libjpeg The Independent JPEG Group's JPEG software.
|
||||
Copyright (C) 1991-2012, Thomas G. Lane, Guido Vollbeding.
|
||||
See IGJ home page http://www.ijg.org
|
||||
for details and links to the source code
|
||||
|
||||
HAVE_JPEG preprocessor flag must be set to make imgcodecs use libjpeg.
|
||||
On UNIX systems configure script takes care of it.
|
||||
WITH_JPEG CMake option must be ON to add libjpeg support to imgcodecs.
|
||||
------------------------------------------------------------------------------------
|
||||
libpng 1.5.12 - Portable Network Graphics library.
|
||||
libpng Portable Network Graphics library.
|
||||
Copyright (c) 2004, 2006-2012 Glenn Randers-Pehrson.
|
||||
See libpng home page http://www.libpng.org
|
||||
for details and links to the source code
|
||||
|
||||
HAVE_PNG preprocessor flag must be set to make imgcodecs use libpng.
|
||||
On UNIX systems configure script takes care of it.
|
||||
WITH_PNG CMake option must be ON to add libpng support to imgcodecs.
|
||||
------------------------------------------------------------------------------------
|
||||
libtiff 4.0.2 - Tag Image File Format (TIFF) Software
|
||||
libtiff Tag Image File Format (TIFF) Software
|
||||
Copyright (c) 1988-1997 Sam Leffler
|
||||
Copyright (c) 1991-1997 Silicon Graphics, Inc.
|
||||
See libtiff home page http://www.remotesensing.org/libtiff/
|
||||
for details and links to the source code
|
||||
|
||||
HAVE_TIFF preprocessor flag must be set to make imgcodecs use libtiff.
|
||||
On UNIX systems configure script takes care of it.
|
||||
In this build support for ZIP (LZ77 compression) is turned on.
|
||||
WITH_TIFF CMake option must be ON to add libtiff & zlib support to imgcodecs.
|
||||
------------------------------------------------------------------------------------
|
||||
zlib 1.2.7 - General purpose LZ77 compression library
|
||||
zlib General purpose LZ77 compression library
|
||||
Copyright (C) 1995-2012 Jean-loup Gailly and Mark Adler.
|
||||
See zlib home page http://www.zlib.net
|
||||
for details and links to the source code
|
||||
|
||||
No preprocessor definition is needed to make imgcodecs use this library -
|
||||
it is included automatically if either libpng or libtiff are used.
|
||||
------------------------------------------------------------------------------------
|
||||
jasper-1.900.1 - JasPer is a collection of software
|
||||
jasper JasPer is a collection of software
|
||||
(i.e., a library and application programs) for the coding
|
||||
and manipulation of images. This software can handle image data in a
|
||||
variety of formats. One such format supported by JasPer is the JPEG-2000
|
||||
@ -50,14 +43,9 @@ jasper-1.900.1 - JasPer is a collection of software
|
||||
Copyright (c) 1999-2000 The University of British Columbia
|
||||
Copyright (c) 2001-2003 Michael David Adams
|
||||
|
||||
The JasPer license can be found in src/libjasper.
|
||||
|
||||
OpenCV on Windows uses pre-built libjasper library
|
||||
(lib/libjasper*). To get the latest source code,
|
||||
please, visit the project homepage:
|
||||
http://www.ece.uvic.ca/~mdadams/jasper/
|
||||
The JasPer license can be found in libjasper.
|
||||
------------------------------------------------------------------------------------
|
||||
openexr-1.7.1 - OpenEXR is a high dynamic-range (HDR) image file format developed
|
||||
openexr OpenEXR is a high dynamic-range (HDR) image file format developed
|
||||
by Industrial Light & Magic for use in computer imaging applications.
|
||||
|
||||
Copyright (c) 2006, Industrial Light & Magic, a division of Lucasfilm
|
||||
@ -66,11 +54,17 @@ openexr-1.7.1 - OpenEXR is a high dynamic-range (HDR) image file format de
|
||||
|
||||
The project homepage: http://www.openexr.com
|
||||
------------------------------------------------------------------------------------
|
||||
ffmpeg-0.8.0 - FFmpeg is a complete, cross-platform solution to record,
|
||||
ffmpeg FFmpeg is a complete, cross-platform solution to record,
|
||||
convert and stream audio and video. It includes libavcodec -
|
||||
the leading audio/video codec library, and also libavformat, libavutils and
|
||||
other helper libraries that are used by OpenCV (in highgui module) to
|
||||
other helper libraries that are used by OpenCV (in videoio module) to
|
||||
read and write video files.
|
||||
|
||||
The project homepage: http://ffmpeg.org/
|
||||
Copyright (c) 2001 Fabrice Bellard
|
||||
|
||||
The project homepage: http://ffmpeg.org/.
|
||||
|
||||
* On Linux/OSX we link user-installed ffmpeg (or ffmpeg fork libav).
|
||||
* On Windows we use pre-built ffmpeg binaries,
|
||||
see opencv/3rdparty/ffmpeg/readme.txt for details and licensing information
|
||||
------------------------------------------------------------------------------------
|
||||
|
8
LICENSE
8
LICENSE
@ -7,6 +7,14 @@ copy or use the software.
|
||||
For Open Source Computer Vision Library
|
||||
(3-clause BSD License)
|
||||
|
||||
Copyright (C) 2000-2015, Intel Corporation, all rights reserved.
|
||||
Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
|
||||
Copyright (C) 2009-2015, NVIDIA Corporation, all rights reserved.
|
||||
Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
|
||||
Copyright (C) 2015, OpenCV Foundation, all rights reserved.
|
||||
Copyright (C) 2015, Itseez Inc., all rights reserved.
|
||||
Third party copyrights are property of their respective owners.
|
||||
|
||||
Redistribution and use in source and binary forms, with or without modification,
|
||||
are permitted provided that the following conditions are met:
|
||||
|
||||
|
@ -82,7 +82,7 @@ void CvStatModel::load( const char* filename, const char* name )
|
||||
{
|
||||
CvFileStorage* fs = 0;
|
||||
|
||||
CV_FUNCNAME( "CvStatModel::load" );
|
||||
CV_FUNCNAME( "CvAlgorithm::load" );
|
||||
|
||||
__BEGIN__;
|
||||
|
||||
|
@ -10,8 +10,10 @@
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2000-2015, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2015, OpenCV Foundation, all rights reserved.
|
||||
// Copyright (C) 2015, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
@ -2921,6 +2923,10 @@ public:
|
||||
Algorithm();
|
||||
virtual ~Algorithm();
|
||||
|
||||
/** @brief Clears the algorithm state
|
||||
*/
|
||||
CV_WRAP virtual void clear() {}
|
||||
|
||||
/** @brief Stores algorithm parameters in a file storage
|
||||
*/
|
||||
virtual void write(FileStorage& fs) const { (void)fs; }
|
||||
@ -2928,6 +2934,71 @@ public:
|
||||
/** @brief Reads algorithm parameters from a file storage
|
||||
*/
|
||||
virtual void read(const FileNode& fn) { (void)fn; }
|
||||
|
||||
/** @brief Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
|
||||
*/
|
||||
virtual bool empty() const { return false; }
|
||||
|
||||
/** @brief Reads algorithm from the file node
|
||||
|
||||
This is static template method of Algorithm. It's usage is following (in the case of SVM):
|
||||
@code
|
||||
Ptr<SVM> svm = Algorithm::read<SVM>(fn);
|
||||
@endcode
|
||||
In order to make this method work, the derived class must overwrite Algorithm::read(const
|
||||
FileNode& fn) and also have static create() method without parameters
|
||||
(or with all the optional parameters)
|
||||
*/
|
||||
template<typename _Tp> static Ptr<_Tp> read(const FileNode& fn)
|
||||
{
|
||||
Ptr<_Tp> obj = _Tp::create();
|
||||
obj->read(fn);
|
||||
return !obj->empty() ? obj : Ptr<_Tp>();
|
||||
}
|
||||
|
||||
/** @brief Loads algorithm from the file
|
||||
|
||||
This is static template method of Algorithm. It's usage is following (in the case of SVM):
|
||||
@code
|
||||
Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");
|
||||
@endcode
|
||||
In order to make this method work, the derived class must overwrite Algorithm::read(const
|
||||
FileNode& fn).
|
||||
*/
|
||||
template<typename _Tp> static Ptr<_Tp> load(const String& filename, const String& objname=String())
|
||||
{
|
||||
FileStorage fs(filename, FileStorage::READ);
|
||||
FileNode fn = objname.empty() ? fs.getFirstTopLevelNode() : fs[objname];
|
||||
Ptr<_Tp> obj = _Tp::create();
|
||||
obj->read(fn);
|
||||
return !obj->empty() ? obj : Ptr<_Tp>();
|
||||
}
|
||||
|
||||
/** @brief Loads algorithm from a String
|
||||
|
||||
@param strModel The string variable containing the model you want to load.
|
||||
|
||||
This is static template method of Algorithm. It's usage is following (in the case of SVM):
|
||||
@code
|
||||
Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);
|
||||
@endcode
|
||||
*/
|
||||
template<typename _Tp> static Ptr<_Tp> loadFromString(const String& strModel, const String& objname=String())
|
||||
{
|
||||
FileStorage fs(strModel, FileStorage::READ + FileStorage::MEMORY);
|
||||
FileNode fn = objname.empty() ? fs.getFirstTopLevelNode() : fs[objname];
|
||||
Ptr<_Tp> obj = _Tp::create();
|
||||
obj->read(fn);
|
||||
return !obj->empty() ? obj : Ptr<_Tp>();
|
||||
}
|
||||
|
||||
/** Saves the algorithm to a file.
|
||||
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs). */
|
||||
CV_WRAP virtual void save(const String& filename) const;
|
||||
|
||||
/** Returns the algorithm string identifier.
|
||||
This string is used as top level xml/yml node tag when the object is saved to a file or string. */
|
||||
CV_WRAP virtual String getDefaultName() const;
|
||||
};
|
||||
|
||||
struct Param {
|
||||
|
@ -1,3 +1,47 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2015, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Copyright (C) 2015, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef __OPENCV_CORE_IPPASYNC_HPP__
|
||||
#define __OPENCV_CORE_IPPASYNC_HPP__
|
||||
|
||||
|
@ -70,7 +70,7 @@ class CV_EXPORTS _OutputArray;
|
||||
|
||||
It is defined as:
|
||||
@code
|
||||
typedef const _InputArray& InputArray;
|
||||
class InputArray; // = _InputArray
|
||||
@endcode
|
||||
where _InputArray is a class that can be constructed from `Mat`, `Mat_<T>`, `Matx<T, m, n>`,
|
||||
`std::vector<T>`, `std::vector<std::vector<T> >` or `std::vector<Mat>`. It can also be constructed
|
||||
@ -185,39 +185,42 @@ public:
|
||||
_InputArray(const UMat& um);
|
||||
_InputArray(const std::vector<UMat>& umv);
|
||||
|
||||
virtual Mat getMat(int idx=-1) const;
|
||||
virtual UMat getUMat(int idx=-1) const;
|
||||
virtual void getMatVector(std::vector<Mat>& mv) const;
|
||||
virtual void getUMatVector(std::vector<UMat>& umv) const;
|
||||
virtual cuda::GpuMat getGpuMat() const;
|
||||
virtual ogl::Buffer getOGlBuffer() const;
|
||||
void* getObj() const;
|
||||
Mat getMat(int idx=-1) const;
|
||||
UMat getUMat(int idx=-1) const;
|
||||
void getMatVector(std::vector<Mat>& mv) const;
|
||||
void getUMatVector(std::vector<UMat>& umv) const;
|
||||
cuda::GpuMat getGpuMat() const;
|
||||
ogl::Buffer getOGlBuffer() const;
|
||||
|
||||
virtual int kind() const;
|
||||
virtual int dims(int i=-1) const;
|
||||
virtual int cols(int i=-1) const;
|
||||
virtual int rows(int i=-1) const;
|
||||
virtual Size size(int i=-1) const;
|
||||
virtual int sizend(int* sz, int i=-1) const;
|
||||
virtual bool sameSize(const _InputArray& arr) const;
|
||||
virtual size_t total(int i=-1) const;
|
||||
virtual int type(int i=-1) const;
|
||||
virtual int depth(int i=-1) const;
|
||||
virtual int channels(int i=-1) const;
|
||||
virtual bool isContinuous(int i=-1) const;
|
||||
virtual bool isSubmatrix(int i=-1) const;
|
||||
virtual bool empty() const;
|
||||
virtual void copyTo(const _OutputArray& arr) const;
|
||||
virtual void copyTo(const _OutputArray& arr, const _InputArray & mask) const;
|
||||
virtual size_t offset(int i=-1) const;
|
||||
virtual size_t step(int i=-1) const;
|
||||
int getFlags() const;
|
||||
void* getObj() const;
|
||||
Size getSz() const;
|
||||
|
||||
int kind() const;
|
||||
int dims(int i=-1) const;
|
||||
int cols(int i=-1) const;
|
||||
int rows(int i=-1) const;
|
||||
Size size(int i=-1) const;
|
||||
int sizend(int* sz, int i=-1) const;
|
||||
bool sameSize(const _InputArray& arr) const;
|
||||
size_t total(int i=-1) const;
|
||||
int type(int i=-1) const;
|
||||
int depth(int i=-1) const;
|
||||
int channels(int i=-1) const;
|
||||
bool isContinuous(int i=-1) const;
|
||||
bool isSubmatrix(int i=-1) const;
|
||||
bool empty() const;
|
||||
void copyTo(const _OutputArray& arr) const;
|
||||
void copyTo(const _OutputArray& arr, const _InputArray & mask) const;
|
||||
size_t offset(int i=-1) const;
|
||||
size_t step(int i=-1) const;
|
||||
bool isMat() const;
|
||||
bool isUMat() const;
|
||||
bool isMatVector() const;
|
||||
bool isUMatVector() const;
|
||||
bool isMatx() const;
|
||||
|
||||
virtual ~_InputArray();
|
||||
~_InputArray();
|
||||
|
||||
protected:
|
||||
int flags;
|
||||
@ -303,21 +306,21 @@ public:
|
||||
_OutputArray(const UMat& m);
|
||||
_OutputArray(const std::vector<UMat>& vec);
|
||||
|
||||
virtual bool fixedSize() const;
|
||||
virtual bool fixedType() const;
|
||||
virtual bool needed() const;
|
||||
virtual Mat& getMatRef(int i=-1) const;
|
||||
virtual UMat& getUMatRef(int i=-1) const;
|
||||
virtual cuda::GpuMat& getGpuMatRef() const;
|
||||
virtual ogl::Buffer& getOGlBufferRef() const;
|
||||
virtual cuda::HostMem& getHostMemRef() const;
|
||||
virtual void create(Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
|
||||
virtual void create(int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
|
||||
virtual void create(int dims, const int* size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
|
||||
virtual void createSameSize(const _InputArray& arr, int mtype) const;
|
||||
virtual void release() const;
|
||||
virtual void clear() const;
|
||||
virtual void setTo(const _InputArray& value, const _InputArray & mask = _InputArray()) const;
|
||||
bool fixedSize() const;
|
||||
bool fixedType() const;
|
||||
bool needed() const;
|
||||
Mat& getMatRef(int i=-1) const;
|
||||
UMat& getUMatRef(int i=-1) const;
|
||||
cuda::GpuMat& getGpuMatRef() const;
|
||||
ogl::Buffer& getOGlBufferRef() const;
|
||||
cuda::HostMem& getHostMemRef() const;
|
||||
void create(Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
|
||||
void create(int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
|
||||
void create(int dims, const int* size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
|
||||
void createSameSize(const _InputArray& arr, int mtype) const;
|
||||
void release() const;
|
||||
void clear() const;
|
||||
void setTo(const _InputArray& value, const _InputArray & mask = _InputArray()) const;
|
||||
|
||||
void assign(const UMat& u) const;
|
||||
void assign(const Mat& m) const;
|
||||
@ -358,13 +361,15 @@ public:
|
||||
template<typename _Tp, int m, int n> _InputOutputArray(const Matx<_Tp, m, n>& matx);
|
||||
_InputOutputArray(const UMat& m);
|
||||
_InputOutputArray(const std::vector<UMat>& vec);
|
||||
|
||||
explicit _InputOutputArray(const _OutputArray& o);
|
||||
};
|
||||
|
||||
typedef const _InputArray& InputArray;
|
||||
typedef _InputArray InputArray;
|
||||
typedef InputArray InputArrayOfArrays;
|
||||
typedef const _OutputArray& OutputArray;
|
||||
typedef _OutputArray OutputArray;
|
||||
typedef OutputArray OutputArrayOfArrays;
|
||||
typedef const _InputOutputArray& InputOutputArray;
|
||||
typedef _InputOutputArray InputOutputArray;
|
||||
typedef InputOutputArray InputOutputArrayOfArrays;
|
||||
|
||||
CV_EXPORTS InputOutputArray noArray();
|
||||
|
@ -7,11 +7,13 @@
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Copyright (C) 2015, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
@ -61,6 +63,8 @@ inline void _InputArray::init(int _flags, const void* _obj, Size _sz)
|
||||
{ flags = _flags; obj = (void*)_obj; sz = _sz; }
|
||||
|
||||
inline void* _InputArray::getObj() const { return obj; }
|
||||
inline int _InputArray::getFlags() const { return flags; }
|
||||
inline Size _InputArray::getSz() const { return sz; }
|
||||
|
||||
inline _InputArray::_InputArray() { init(NONE, 0); }
|
||||
inline _InputArray::_InputArray(int _flags, void* _obj) { init(_flags, _obj); }
|
||||
@ -290,6 +294,9 @@ inline _InputOutputArray::_InputOutputArray(const ogl::Buffer& buf)
|
||||
inline _InputOutputArray::_InputOutputArray(const cuda::HostMem& cuda_mem)
|
||||
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
|
||||
|
||||
inline _InputOutputArray::_InputOutputArray(const _OutputArray& o)
|
||||
{ init(o.getFlags(), o.getObj(), o.getSz()); }
|
||||
|
||||
//////////////////////////////////////////// Mat //////////////////////////////////////////
|
||||
|
||||
inline
|
||||
|
@ -12,6 +12,8 @@
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Copyright (C) 2015, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
|
@ -10,8 +10,10 @@
|
||||
// Intel License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright( C) 2000, Intel Corporation, all rights reserved.
|
||||
// Copyright( C) 2000-2015, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2011-2013, NVIDIA Corporation, all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Copyright (C) 2015, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
|
@ -53,6 +53,20 @@ Algorithm::~Algorithm()
|
||||
{
|
||||
}
|
||||
|
||||
void Algorithm::save(const String& filename) const
|
||||
{
|
||||
FileStorage fs(filename, FileStorage::WRITE);
|
||||
fs << getDefaultName() << "{";
|
||||
fs << "format" << (int)3;
|
||||
write(fs);
|
||||
fs << "}";
|
||||
}
|
||||
|
||||
String Algorithm::getDefaultName() const
|
||||
{
|
||||
return String("my_object");
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/* End of file. */
|
||||
|
@ -65,20 +65,20 @@ namespace cv{
|
||||
};
|
||||
|
||||
struct CCStatsOp{
|
||||
const _OutputArray* _mstatsv;
|
||||
OutputArray _mstatsv;
|
||||
cv::Mat statsv;
|
||||
const _OutputArray* _mcentroidsv;
|
||||
OutputArray _mcentroidsv;
|
||||
cv::Mat centroidsv;
|
||||
std::vector<Point2ui64> integrals;
|
||||
|
||||
CCStatsOp(OutputArray _statsv, OutputArray _centroidsv): _mstatsv(&_statsv), _mcentroidsv(&_centroidsv){
|
||||
CCStatsOp(OutputArray _statsv, OutputArray _centroidsv): _mstatsv(_statsv), _mcentroidsv(_centroidsv){
|
||||
}
|
||||
inline
|
||||
void init(int nlabels){
|
||||
_mstatsv->create(cv::Size(CC_STAT_MAX, nlabels), cv::DataType<int>::type);
|
||||
statsv = _mstatsv->getMat();
|
||||
_mcentroidsv->create(cv::Size(2, nlabels), cv::DataType<double>::type);
|
||||
centroidsv = _mcentroidsv->getMat();
|
||||
_mstatsv.create(cv::Size(CC_STAT_MAX, nlabels), cv::DataType<int>::type);
|
||||
statsv = _mstatsv.getMat();
|
||||
_mcentroidsv.create(cv::Size(2, nlabels), cv::DataType<double>::type);
|
||||
centroidsv = _mcentroidsv.getMat();
|
||||
|
||||
for(int l = 0; l < (int) nlabels; ++l){
|
||||
int *row = (int *) &statsv.at<int>(l, 0);
|
||||
|
@ -297,11 +297,12 @@ public:
|
||||
COMPRESSED_INPUT=2,
|
||||
PREPROCESSED_INPUT=4
|
||||
};
|
||||
CV_WRAP virtual void clear();
|
||||
|
||||
/** @brief Returns the number of variables in training samples */
|
||||
CV_WRAP virtual int getVarCount() const = 0;
|
||||
|
||||
CV_WRAP virtual bool empty() const;
|
||||
|
||||
/** @brief Returns true if the model is trained */
|
||||
CV_WRAP virtual bool isTrained() const = 0;
|
||||
/** @brief Returns true if the model is classifier */
|
||||
@ -347,40 +348,6 @@ public:
|
||||
*/
|
||||
CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const = 0;
|
||||
|
||||
/** @brief Loads model from the file
|
||||
|
||||
This is static template method of StatModel. It's usage is following (in the case of SVM):
|
||||
@code
|
||||
Ptr<SVM> svm = StatModel::load<SVM>("my_svm_model.xml");
|
||||
@endcode
|
||||
In order to make this method work, the derived class must overwrite Algorithm::read(const
|
||||
FileNode& fn).
|
||||
*/
|
||||
template<typename _Tp> static Ptr<_Tp> load(const String& filename)
|
||||
{
|
||||
FileStorage fs(filename, FileStorage::READ);
|
||||
Ptr<_Tp> model = _Tp::create();
|
||||
model->read(fs.getFirstTopLevelNode());
|
||||
return model->isTrained() ? model : Ptr<_Tp>();
|
||||
}
|
||||
|
||||
/** @brief Loads model from a String
|
||||
|
||||
@param strModel The string variable containing the model you want to load.
|
||||
|
||||
This is static template method of StatModel. It's usage is following (in the case of SVM):
|
||||
@code
|
||||
Ptr<SVM> svm = StatModel::loadFromString<SVM>(myStringModel);
|
||||
@endcode
|
||||
*/
|
||||
template<typename _Tp> static Ptr<_Tp> loadFromString(const String& strModel)
|
||||
{
|
||||
FileStorage fs(strModel, FileStorage::READ + FileStorage::MEMORY);
|
||||
Ptr<_Tp> model = _Tp::create();
|
||||
model->read(fs.getFirstTopLevelNode());
|
||||
return model->isTrained() ? model : Ptr<_Tp>();
|
||||
}
|
||||
|
||||
/** @brief Create and train model with default parameters
|
||||
|
||||
The class must implement static `create()` method with no parameters or with all default parameter values
|
||||
@ -390,14 +357,6 @@ public:
|
||||
Ptr<_Tp> model = _Tp::create();
|
||||
return !model.empty() && model->train(data, flags) ? model : Ptr<_Tp>();
|
||||
}
|
||||
|
||||
/** Saves the model to a file.
|
||||
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs). */
|
||||
CV_WRAP virtual void save(const String& filename) const;
|
||||
|
||||
/** Returns model string identifier.
|
||||
This string is used as top level xml/yml node tag when model is saved to a file or string. */
|
||||
CV_WRAP virtual String getDefaultModelName() const = 0;
|
||||
};
|
||||
|
||||
/****************************************************************************************\
|
||||
@ -939,7 +898,7 @@ public:
|
||||
|
||||
/** Creates empty %EM model.
|
||||
The model should be trained then using StatModel::train(traindata, flags) method. Alternatively, you
|
||||
can use one of the EM::train\* methods or load it from file using StatModel::load\<EM\>(filename).
|
||||
can use one of the EM::train\* methods or load it from file using Algorithm::load\<EM\>(filename).
|
||||
*/
|
||||
CV_WRAP static Ptr<EM> create();
|
||||
};
|
||||
@ -1127,7 +1086,7 @@ public:
|
||||
|
||||
The static method creates empty decision tree with the specified parameters. It should be then
|
||||
trained using train method (see StatModel::train). Alternatively, you can load the model from
|
||||
file using StatModel::load\<DTrees\>(filename).
|
||||
file using Algorithm::load\<DTrees\>(filename).
|
||||
*/
|
||||
CV_WRAP static Ptr<DTrees> create();
|
||||
};
|
||||
@ -1181,7 +1140,7 @@ public:
|
||||
|
||||
/** Creates the empty model.
|
||||
Use StatModel::train to train the model, StatModel::train to create and train the model,
|
||||
StatModel::load to load the pre-trained model.
|
||||
Algorithm::load to load the pre-trained model.
|
||||
*/
|
||||
CV_WRAP static Ptr<RTrees> create();
|
||||
};
|
||||
@ -1231,7 +1190,7 @@ public:
|
||||
};
|
||||
|
||||
/** Creates the empty model.
|
||||
Use StatModel::train to train the model, StatModel::load\<Boost\>(filename) to load the pre-trained model. */
|
||||
Use StatModel::train to train the model, Algorithm::load\<Boost\>(filename) to load the pre-trained model. */
|
||||
CV_WRAP static Ptr<Boost> create();
|
||||
};
|
||||
|
||||
@ -1416,7 +1375,7 @@ public:
|
||||
|
||||
/** @brief Creates empty model
|
||||
|
||||
Use StatModel::train to train the model, StatModel::load\<ANN_MLP\>(filename) to load the pre-trained model.
|
||||
Use StatModel::train to train the model, Algorithm::load\<ANN_MLP\>(filename) to load the pre-trained model.
|
||||
Note that the train method has optional flags: ANN_MLP::TrainFlags.
|
||||
*/
|
||||
static Ptr<ANN_MLP> create();
|
||||
|
@ -1294,7 +1294,7 @@ public:
|
||||
return layer_sizes.empty() ? 0 : layer_sizes[0];
|
||||
}
|
||||
|
||||
String getDefaultModelName() const
|
||||
String getDefaultName() const
|
||||
{
|
||||
return "opencv_ml_ann_mlp";
|
||||
}
|
||||
|
@ -465,7 +465,7 @@ public:
|
||||
CV_WRAP_SAME_PROPERTY(float, RegressionAccuracy, impl.params)
|
||||
CV_WRAP_SAME_PROPERTY_S(cv::Mat, Priors, impl.params)
|
||||
|
||||
String getDefaultModelName() const { return "opencv_ml_boost"; }
|
||||
String getDefaultName() const { return "opencv_ml_boost"; }
|
||||
|
||||
bool train( const Ptr<TrainData>& trainData, int flags )
|
||||
{
|
||||
|
@ -227,7 +227,7 @@ public:
|
||||
return means.cols;
|
||||
}
|
||||
|
||||
String getDefaultModelName() const
|
||||
String getDefaultName() const
|
||||
{
|
||||
return "opencv_ml_em";
|
||||
}
|
||||
|
@ -50,7 +50,7 @@ ParamGrid::ParamGrid(double _minVal, double _maxVal, double _logStep)
|
||||
logStep = std::max(_logStep, 1.);
|
||||
}
|
||||
|
||||
void StatModel::clear() {}
|
||||
bool StatModel::empty() const { return !isTrained(); }
|
||||
|
||||
int StatModel::getVarCount() const { return 0; }
|
||||
|
||||
@ -111,15 +111,6 @@ float StatModel::calcError( const Ptr<TrainData>& data, bool testerr, OutputArra
|
||||
return (float)(err / n * (isclassifier ? 100 : 1));
|
||||
}
|
||||
|
||||
void StatModel::save(const String& filename) const
|
||||
{
|
||||
FileStorage fs(filename, FileStorage::WRITE);
|
||||
fs << getDefaultModelName() << "{";
|
||||
fs << "format" << (int)3;
|
||||
write(fs);
|
||||
fs << "}";
|
||||
}
|
||||
|
||||
/* Calculates upper triangular matrix S, where A is a symmetrical matrix A=S'*S */
|
||||
static void Cholesky( const Mat& A, Mat& S )
|
||||
{
|
||||
|
@ -496,7 +496,7 @@ public:
|
||||
return impl->train(data, flags);
|
||||
}
|
||||
|
||||
String getDefaultModelName() const { return impl->getModelName(); }
|
||||
String getDefaultName() const { return impl->getModelName(); }
|
||||
|
||||
protected:
|
||||
void initImpl(int algorithmType)
|
||||
|
@ -104,7 +104,7 @@ public:
|
||||
virtual int getVarCount() const { return learnt_thetas.cols; }
|
||||
virtual bool isTrained() const { return !learnt_thetas.empty(); }
|
||||
virtual bool isClassifier() const { return true; }
|
||||
virtual String getDefaultModelName() const { return "opencv_ml_lr"; }
|
||||
virtual String getDefaultName() const { return "opencv_ml_lr"; }
|
||||
protected:
|
||||
Mat calc_sigmoid(const Mat& data) const;
|
||||
double compute_cost(const Mat& _data, const Mat& _labels, const Mat& _init_theta);
|
||||
|
@ -443,7 +443,7 @@ public:
|
||||
bool isTrained() const { return !avg.empty(); }
|
||||
bool isClassifier() const { return true; }
|
||||
int getVarCount() const { return nallvars; }
|
||||
String getDefaultModelName() const { return "opencv_ml_nbayes"; }
|
||||
String getDefaultName() const { return "opencv_ml_nbayes"; }
|
||||
|
||||
int nallvars;
|
||||
Mat var_idx, cls_labels, c;
|
||||
|
@ -290,7 +290,7 @@ namespace ml
|
||||
virtual ~DTreesImpl();
|
||||
virtual void clear();
|
||||
|
||||
String getDefaultModelName() const { return "opencv_ml_dtree"; }
|
||||
String getDefaultName() const { return "opencv_ml_dtree"; }
|
||||
bool isTrained() const { return !roots.empty(); }
|
||||
bool isClassifier() const { return _isClassifier; }
|
||||
int getVarCount() const { return varType.empty() ? 0 : (int)(varType.size() - 1); }
|
||||
|
@ -375,7 +375,7 @@ public:
|
||||
RTreesImpl() {}
|
||||
virtual ~RTreesImpl() {}
|
||||
|
||||
String getDefaultModelName() const { return "opencv_ml_rtrees"; }
|
||||
String getDefaultName() const { return "opencv_ml_rtrees"; }
|
||||
|
||||
bool train( const Ptr<TrainData>& trainData, int flags )
|
||||
{
|
||||
|
@ -2008,7 +2008,7 @@ public:
|
||||
return var_count;
|
||||
}
|
||||
|
||||
String getDefaultModelName() const
|
||||
String getDefaultName() const
|
||||
{
|
||||
return "opencv_ml_svm";
|
||||
}
|
||||
|
@ -576,7 +576,7 @@ protected:
|
||||
// Read in
|
||||
try
|
||||
{
|
||||
em = StatModel::load<EM>(filename);
|
||||
em = Algorithm::load<EM>(filename);
|
||||
}
|
||||
catch(...)
|
||||
{
|
||||
|
@ -179,7 +179,7 @@ void CV_LRTest_SaveLoad::run( int /*start_from*/ )
|
||||
// and load to another
|
||||
try
|
||||
{
|
||||
Ptr<LogisticRegression> lr2 = StatModel::load<LogisticRegression>(filename);
|
||||
Ptr<LogisticRegression> lr2 = Algorithm::load<LogisticRegression>(filename);
|
||||
lr2->predict(tdata->getSamples(), responses2);
|
||||
learnt_mat2 = lr2->get_learnt_thetas();
|
||||
}
|
||||
|
@ -472,19 +472,19 @@ void CV_MLBaseTest::save( const char* filename )
|
||||
void CV_MLBaseTest::load( const char* filename )
|
||||
{
|
||||
if( modelName == CV_NBAYES )
|
||||
model = StatModel::load<NormalBayesClassifier>( filename );
|
||||
model = Algorithm::load<NormalBayesClassifier>( filename );
|
||||
else if( modelName == CV_KNEAREST )
|
||||
model = StatModel::load<KNearest>( filename );
|
||||
model = Algorithm::load<KNearest>( filename );
|
||||
else if( modelName == CV_SVM )
|
||||
model = StatModel::load<SVM>( filename );
|
||||
model = Algorithm::load<SVM>( filename );
|
||||
else if( modelName == CV_ANN )
|
||||
model = StatModel::load<ANN_MLP>( filename );
|
||||
model = Algorithm::load<ANN_MLP>( filename );
|
||||
else if( modelName == CV_DTREE )
|
||||
model = StatModel::load<DTrees>( filename );
|
||||
model = Algorithm::load<DTrees>( filename );
|
||||
else if( modelName == CV_BOOST )
|
||||
model = StatModel::load<Boost>( filename );
|
||||
model = Algorithm::load<Boost>( filename );
|
||||
else if( modelName == CV_RTREES )
|
||||
model = StatModel::load<RTrees>( filename );
|
||||
model = Algorithm::load<RTrees>( filename );
|
||||
else
|
||||
CV_Error( CV_StsNotImplemented, "invalid stat model name");
|
||||
}
|
||||
|
@ -190,17 +190,17 @@ protected:
|
||||
bool isTree = modelName == CV_BOOST || modelName == CV_DTREE || modelName == CV_RTREES;
|
||||
Ptr<StatModel> model;
|
||||
if (modelName == CV_BOOST)
|
||||
model = StatModel::load<Boost>(filename);
|
||||
model = Algorithm::load<Boost>(filename);
|
||||
else if (modelName == CV_ANN)
|
||||
model = StatModel::load<ANN_MLP>(filename);
|
||||
model = Algorithm::load<ANN_MLP>(filename);
|
||||
else if (modelName == CV_DTREE)
|
||||
model = StatModel::load<DTrees>(filename);
|
||||
model = Algorithm::load<DTrees>(filename);
|
||||
else if (modelName == CV_NBAYES)
|
||||
model = StatModel::load<NormalBayesClassifier>(filename);
|
||||
model = Algorithm::load<NormalBayesClassifier>(filename);
|
||||
else if (modelName == CV_SVM)
|
||||
model = StatModel::load<SVM>(filename);
|
||||
model = Algorithm::load<SVM>(filename);
|
||||
else if (modelName == CV_RTREES)
|
||||
model = StatModel::load<RTrees>(filename);
|
||||
model = Algorithm::load<RTrees>(filename);
|
||||
if (!model)
|
||||
{
|
||||
code = cvtest::TS::FAIL_INVALID_TEST_DATA;
|
||||
@ -273,11 +273,11 @@ TEST(DISABLED_ML_SVM, linear_save_load)
|
||||
{
|
||||
Ptr<cv::ml::SVM> svm1, svm2, svm3;
|
||||
|
||||
svm1 = StatModel::load<SVM>("SVM45_X_38-1.xml");
|
||||
svm2 = StatModel::load<SVM>("SVM45_X_38-2.xml");
|
||||
svm1 = Algorithm::load<SVM>("SVM45_X_38-1.xml");
|
||||
svm2 = Algorithm::load<SVM>("SVM45_X_38-2.xml");
|
||||
string tname = tempfile("a.xml");
|
||||
svm2->save(tname);
|
||||
svm3 = StatModel::load<SVM>(tname);
|
||||
svm3 = Algorithm::load<SVM>(tname);
|
||||
|
||||
ASSERT_EQ(svm1->getVarCount(), svm2->getVarCount());
|
||||
ASSERT_EQ(svm1->getVarCount(), svm3->getVarCount());
|
||||
|
@ -106,6 +106,8 @@ protected:
|
||||
class CV_EXPORTS VoronoiSeamFinder : public PairwiseSeamFinder
|
||||
{
|
||||
public:
|
||||
virtual void find(const std::vector<UMat> &src, const std::vector<Point> &corners,
|
||||
std::vector<UMat> &masks);
|
||||
virtual void find(const std::vector<Size> &size, const std::vector<Point> &corners,
|
||||
std::vector<UMat> &masks);
|
||||
private:
|
||||
|
@ -186,14 +186,18 @@ public:
|
||||
*/
|
||||
PlaneWarper(float scale = 1.f) { projector_.scale = scale; }
|
||||
|
||||
Point2f warpPoint(const Point2f &pt, InputArray K, InputArray R);
|
||||
Point2f warpPoint(const Point2f &pt, InputArray K, InputArray R, InputArray T);
|
||||
|
||||
virtual Rect buildMaps(Size src_size, InputArray K, InputArray R, InputArray T, OutputArray xmap, OutputArray ymap);
|
||||
Rect buildMaps(Size src_size, InputArray K, InputArray R, OutputArray xmap, OutputArray ymap);
|
||||
|
||||
Point warp(InputArray src, InputArray K, InputArray R,
|
||||
int interp_mode, int border_mode, OutputArray dst);
|
||||
virtual Point warp(InputArray src, InputArray K, InputArray R, InputArray T, int interp_mode, int border_mode,
|
||||
OutputArray dst);
|
||||
|
||||
Rect warpRoi(Size src_size, InputArray K, InputArray R);
|
||||
Rect warpRoi(Size src_size, InputArray K, InputArray R, InputArray T);
|
||||
|
||||
protected:
|
||||
|
@ -82,6 +82,11 @@ void PairwiseSeamFinder::run()
|
||||
}
|
||||
}
|
||||
|
||||
void VoronoiSeamFinder::find(const std::vector<UMat> &src, const std::vector<Point> &corners,
|
||||
std::vector<UMat> &masks)
|
||||
{
|
||||
PairwiseSeamFinder::find(src, corners, masks);
|
||||
}
|
||||
|
||||
void VoronoiSeamFinder::find(const std::vector<Size> &sizes, const std::vector<Point> &corners,
|
||||
std::vector<UMat> &masks)
|
||||
|
@ -87,6 +87,13 @@ Point2f PlaneWarper::warpPoint(const Point2f &pt, InputArray K, InputArray R, In
|
||||
return uv;
|
||||
}
|
||||
|
||||
Point2f PlaneWarper::warpPoint(const Point2f &pt, InputArray K, InputArray R)
|
||||
{
|
||||
float tz[] = {0.f, 0.f, 0.f};
|
||||
Mat_<float> T(3, 1, tz);
|
||||
return warpPoint(pt, K, R, T);
|
||||
}
|
||||
|
||||
Rect PlaneWarper::buildMaps(Size src_size, InputArray K, InputArray R, OutputArray xmap, OutputArray ymap)
|
||||
{
|
||||
return buildMaps(src_size, K, R, Mat::zeros(3, 1, CV_32FC1), xmap, ymap);
|
||||
@ -155,6 +162,13 @@ Point PlaneWarper::warp(InputArray src, InputArray K, InputArray R, InputArray T
|
||||
return dst_roi.tl();
|
||||
}
|
||||
|
||||
Point PlaneWarper::warp(InputArray src, InputArray K, InputArray R,
|
||||
int interp_mode, int border_mode, OutputArray dst)
|
||||
{
|
||||
float tz[] = {0.f, 0.f, 0.f};
|
||||
Mat_<float> T(3, 1, tz);
|
||||
return warp(src, K, R, T, interp_mode, border_mode, dst);
|
||||
}
|
||||
|
||||
Rect PlaneWarper::warpRoi(Size src_size, InputArray K, InputArray R, InputArray T)
|
||||
{
|
||||
@ -166,6 +180,13 @@ Rect PlaneWarper::warpRoi(Size src_size, InputArray K, InputArray R, InputArray
|
||||
return Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1));
|
||||
}
|
||||
|
||||
Rect PlaneWarper::warpRoi(Size src_size, InputArray K, InputArray R)
|
||||
{
|
||||
float tz[] = {0.f, 0.f, 0.f};
|
||||
Mat_<float> T(3, 1, tz);
|
||||
return warpRoi(src_size, K, R, T);
|
||||
}
|
||||
|
||||
|
||||
void PlaneWarper::detectResultRoi(Size src_size, Point &dst_tl, Point &dst_br)
|
||||
{
|
||||
|
@ -224,7 +224,7 @@ namespace
|
||||
|
||||
void Farneback::impl(InputArray input0, InputArray input1, OutputArray dst)
|
||||
{
|
||||
calcOpticalFlowFarneback(input0, input1, (InputOutputArray)dst, pyrScale_,
|
||||
calcOpticalFlowFarneback(input0, input1, InputOutputArray(dst), pyrScale_,
|
||||
numLevels_, winSize_, numIters_,
|
||||
polyN_, polySigma_, flags_);
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user