[PD-cvs] SF.net SVN: pure-data: [9912] trunk/externals
lluisbigorda at users.sourceforge.net
lluisbigorda at users.sourceforge.net
Sun May 25 23:32:41 CEST 2008
Revision: 9912
http://pure-data.svn.sourceforge.net/pure-data/?rev=9912&view=rev
Author: lluisbigorda
Date: 2008-05-25 14:32:41 -0700 (Sun, 25 May 2008)
Log Message:
-----------
First svn commit
Added Paths:
-----------
trunk/externals/pdp_opencv/
trunk/externals/pdp_opencv/Makefile
trunk/externals/pdp_opencv/Makefile.config
trunk/externals/pdp_opencv/README
trunk/externals/pdp_opencv/TODO
trunk/externals/pdp_opencv/examples/
trunk/externals/pdp_opencv/examples/Mouth.xml
trunk/externals/pdp_opencv/examples/haarcascade_frontalface_alt.xml
trunk/externals/pdp_opencv/help_pdp_opencv_bgsubstract.pd
trunk/externals/pdp_opencv/help_pdp_opencv_contours_boundingrect.pd
trunk/externals/pdp_opencv/help_pdp_opencv_contours_composition.pd
trunk/externals/pdp_opencv/help_pdp_opencv_contours_convexity.pd
trunk/externals/pdp_opencv/help_pdp_opencv_distrans.pd
trunk/externals/pdp_opencv/help_pdp_opencv_edge.pd
trunk/externals/pdp_opencv/help_pdp_opencv_floodfill.pd
trunk/externals/pdp_opencv/help_pdp_opencv_haarcascade.pd
trunk/externals/pdp_opencv/help_pdp_opencv_laplace.pd
trunk/externals/pdp_opencv/help_pdp_opencv_lk.pd
trunk/externals/pdp_opencv/help_pdp_opencv_morphology.pd
trunk/externals/pdp_opencv/help_pdp_opencv_motempl.pd
trunk/externals/pdp_opencv/help_pdp_opencv_threshold.pd
trunk/externals/pdp_opencv/pdp_opencv.c
trunk/externals/pdp_opencv/pdp_opencv_bgsubstract.c
trunk/externals/pdp_opencv/pdp_opencv_contours_boundingrect.c
trunk/externals/pdp_opencv/pdp_opencv_contours_convexity.c
trunk/externals/pdp_opencv/pdp_opencv_distrans.c
trunk/externals/pdp_opencv/pdp_opencv_edge.c
trunk/externals/pdp_opencv/pdp_opencv_floodfill.c
trunk/externals/pdp_opencv/pdp_opencv_haarcascade.c
trunk/externals/pdp_opencv/pdp_opencv_laplace.c
trunk/externals/pdp_opencv/pdp_opencv_lk.c
trunk/externals/pdp_opencv/pdp_opencv_morphology.c
trunk/externals/pdp_opencv/pdp_opencv_motempl.c
trunk/externals/pdp_opencv/pdp_opencv_threshold.c
Added: trunk/externals/pdp_opencv/Makefile
===================================================================
--- trunk/externals/pdp_opencv/Makefile (rev 0)
+++ trunk/externals/pdp_opencv/Makefile 2008-05-25 21:32:41 UTC (rev 9912)
@@ -0,0 +1,16 @@
+current: all
+
+include Makefile.config
+
+PDP_MOD = pdp_opencv_threshold.o pdp_opencv_edge.o pdp_opencv_distrans.o pdp_opencv_laplace.o pdp_opencv_motempl.o pdp_opencv_morphology.o pdp_opencv_haarcascade.o pdp_opencv_contours_convexity.o pdp_opencv_contours_boundingrect.o pdp_opencv_bgsubstract.o pdp_opencv_lk.o pdp_opencv_floodfill.o pdp_opencv.o
+
+
+# build basic image processing modules (derived from base class)
+all: $(PDP_MOD)
+ $(CC) -export_dynamic -shared -o pdp_opencv.pd_linux *.o $(PDP_LIBS) `pkg-config --cflags --libs opencv`
+
+clean:
+ rm -f *~
+ rm -f *.o
+ rm -f *.pd_linux
+
Added: trunk/externals/pdp_opencv/Makefile.config
===================================================================
--- trunk/externals/pdp_opencv/Makefile.config (rev 0)
+++ trunk/externals/pdp_opencv/Makefile.config 2008-05-25 21:32:41 UTC (rev 9912)
@@ -0,0 +1,25 @@
+# if configure can't find the m_pd.h header
+# specify pd's include path here and ignore the warning
+#
+OPENCV_CPPFLAGS=-I/usr/include/opencv/
+PD_CPPFLAGS=-I/usr/src/pd-0.40-2/src
+PDP_CFLAGS=-I/usr/src/pdp-0.12.5-test-7/include -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -O2 -funroll-loops -fomit-frame-pointer -ffast-math -freg-struct-return -DLINUX
+
+prefix=/usr/local
+PDP_CV_VERSION = 0.0.1
+PDP_TARGET = linux
+PDP_LIBRARY_NAME = pdp_opencv.pd_linux
+
+PDP_CPPFLAGS = -I. -I/usr/X11R6/include -I../include -I../../include $(PD_CPPFLAGS) $(OPENCV_CPPFLAGS)
+#--gstabs
+
+PDP_CFLAGS += -DPDP_CV_VERSION=\"$(PDP_CV_VERSION)\"
+
+CC = gcc
+
+# build rules
+
+.c.o:
+ $(CC) $(PDP_CFLAGS) $(PDP_CPPFLAGS) -o $*.o -c $*.c
+.s.o:
+ $(AS) -o $*.o $*.s $(PDP_AFLAGS) `pkg-config --cflags --libs opencv`
Added: trunk/externals/pdp_opencv/README
===================================================================
--- trunk/externals/pdp_opencv/README (rev 0)
+++ trunk/externals/pdp_opencv/README 2008-05-25 21:32:41 UTC (rev 9912)
@@ -0,0 +1 @@
+See docs/index.htm
Added: trunk/externals/pdp_opencv/TODO
===================================================================
--- trunk/externals/pdp_opencv/TODO (rev 0)
+++ trunk/externals/pdp_opencv/TODO 2008-05-25 21:32:41 UTC (rev 9912)
@@ -0,0 +1,154 @@
+###########################
+model de treball tesis ::: segui tot aquest document file:///usr/share/doc/opencv-doc/ref i anar-lo estudiant ampliant ... etc ... pensant posibles aplicacions en l'art ... a fons i molt ben documentat
+mirant tambe aqui file:///usr/share/doc/opencv-doc/papers per ampliar i altres documents a la xarxa
+###########################
+
+en tots els objectes ... en la funcio pdp_opencv_elquesigui_process fer un case "PDP_IMAGE_YUV" o el(s) que sigui i cridar pdp_llconv per a despres poder cridar pdp_opencv_elquesigui_process_rgb ...
+
+pdp_opencv_motempl.c
+ s'han de fer variables alguns parametres que ara mateix esta cm a constants::
+
+ const double MHI_DURATION = 1;
+ const double MAX_TIME_DELTA = 0.5;
+ const double MIN_TIME_DELTA = 0.05;
+ const int N = 4;
+ tambe lo gran que vols el cercle (la variable magnitude li diu ell) ... lo ideal seria que aquesta fos relatica a la cuantitat de moviment ... no? ... (comp_rect.width + comp_rect.height) ... fes una cerca de "reject very small components" per trobar el lloc exacte on esta tocant aixo ...
+ i fer que ens els outlets ens doni ... x,y,heigh,width,angle de cada un dels componoents ...
+
+ aqui hi ha algo de info sobre com funciona aquest exemple
+ file:///usr/share/doc/opencv-doc/ref/opencvref_cv.htm#cv_motion_motempl
+ basicament veig que usa cvUpdateMotionHistory - cvCalcMotionGradient - cvSegmentMotion - cvSetImageROI - cvCalcGlobalOrientation -
+
+ s'ha de fer que les dades dels "blobs?" surtin per algun outlet !!!!
+ veure si les etiquetes es mantenen ... al primer cop que ho fas hauries de anomenar cada un dels blobs, als seguents simplement afegirlo a la llista de la sortida possiblement substituintla per i(numero de blob)
+
+afegr el parametre apperture size al pdp_opencv_laplace :: http://www.cognotics.com/opencv/docs/1.0/ref/opencvref_cv.htm#decl_cvLaplace
+
+
+
+#########################
+mira sempre la documentacio aqui http://opencvlibrary.sourceforge.net/
+#########################
+
+
+blob detection http://opencvlibrary.sourceforge.net/cvBlobsLib
+
+find contours ... http://isa.umh.es/pfc/rmvision/opencvdocs/ref/OpenCVRef_ImageProcessing.htm#decl_cvFindContours
+ Example. Connected component detection via contour functions
+ /usr/share/doc/opencv-doc/examples/contours.c:
+ /usr/share/doc/opencv-doc/examples/fitellipse.c:
+ /usr/share/doc/opencv-doc/examples/squares.c:
+ /home/test/Desktop/opencv/2503_project_report.pdf
+ contours, i despres ... Peak and valley detection --- CvConvexityDefect (http://groups.google.co.in/group/OpenCV/browse_thread/thread/1d472ac178ba8020)
+ http://www.koders.com/c/fidCD4BE43F722BE11420690D3EEEF359CE428E36AE.aspx
+
+aqui hi ha moltes aplicacions bones:::
+http://opencvlibrary.cvs.sourceforge.net/opencvlibrary/opencv/apps/
+
+i aqui especialment:
+http://opencvlibrary.cvs.sourceforge.net/opencvlibrary/opencv/apps/Hawk/demos/
+
+be i en general tots els samples/c/ son diferents ara ... n'hi ha molts mes
+
+background extraction
+
+./lkdemo
+/camshiftdemo
+
+object detection ... http://opencvlibrary.sourceforge.net/ObjectDetection
+
+face recognition ... http://opencvlibrary.sourceforge.net/FaceRecognition
+
+ http://opencvlibrary.sourceforge.net/FaceDetection
+
+Video survillance .. http://opencvlibrary.sourceforge.net/VideoSurveillance //es un pix_movment???
+
+
+face detection ... http://www.hci.iastate.edu/575x/doku.php?id=tutorial4 ... facedetect.c
+
+find and process contours ... squares.c
+
+camera calibration http://www.youtube.com/watch?v=Q2eIv6UiGIc
+homografia http://www.youtube.com/watch?v=LCzF8VuubEw
+
+optical flow detection http://www.youtube.com/watch?v=0MtMxqJ6hF4&NR=1
+
+motion tracking kalman filter http://www.youtube.com/watch?v=iAhwCFLnRWc
+ http://www.youtube.com/watch?v=U1L0X4cts8o&feature=related
+
+color tracking + calman filter http://www.youtube.com/watch?v=1iwvL83Cumo&feature=related
+
+llegir pixels independents ... http://www.hci.iastate.edu/575x/doku.php?id=code_samples:reading_writing_pixels
+
+smoothing filters ... http://www.hci.iastate.edu/575x/doku.php?id=code_samples:smoothing_filters
+
+binary treshold ... http://www.hci.iastate.edu/575x/doku.php?id=code_samples:sliders_threshold
+
+video_writer ??? .... http://www.hci.iastate.edu/575x/doku.php?id=code_samples:video_output
+
+
+altres coses a la referencia ::: http://www.cognotics.com/opencv/docs/1.0/ref/opencvref_cv.htm (un objecte x cada funció)
+ Sobel
+ FindContours
+
+ GetRectSubPix
+ 2DRotationMatrix
+ WarpPerspective
+
+ MorphologyEx
+
+ Smooth
+ Filter2D (convolve)
+ CopyMakeBorder
+ Integral
+
+ CvtColor (colorspace conversions)
+
+ FloodFill
+ FindContours
+
+ GetSpatialMoment
+
+ HoughLines2 ... Detecting lines with Hough transform.
+
+ CvHistogram ... Sample. Calculating and displaying 2D Hue-Saturation histogram of a color image
+
+ MatchTemplate
+
+ FindNearestPoint2D
+
+ SegmentMotion
+
+
+ Example. Using Kalman filter to track a rotating point
+
+ Object Detection ::: Example. Using cascade of Haar classifiers to find objects (e.g. faces).
+
+
+ Camera Calibration
+ Undistort2
+
+
+
+
+de http://www.cognotics.com/opencv/docs/1.0/ref/opencvref_cxcore.htm
+ Merge
+ MixChannels
+
+ Arithmetic, Logic and Comparison
+
+ Normalize
+
+
+
+
+http://www.cognotics.com/opencv/docs/1.0/ref/opencvref_ml.htm ???????
+
+
+
+
+
+write text ... http://www.hci.iastate.edu/575x/doku.php?id=code_samples:adding_text
+simple edge ... http://www.hci.iastate.edu/575x/doku.php?id=code_samples:edge_detection
+
+http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html#SECTION00053000000000000000
Added: trunk/externals/pdp_opencv/examples/Mouth.xml
===================================================================
--- trunk/externals/pdp_opencv/examples/Mouth.xml (rev 0)
+++ trunk/externals/pdp_opencv/examples/Mouth.xml 2008-05-25 21:32:41 UTC (rev 9912)
@@ -0,0 +1,21991 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ 25x15 Mouth detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| 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.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions 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 Contributor may not 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
+| 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. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+ at ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+ at INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+ at InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon at iusiani.ulpgc.es
+------------------------------------------------------------------------>
+<opencv_storage>
+<Boca_17stages type_id="opencv-haar-classifier">
+ <size>
+ 25 15</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 0 0 14 9 -1.</_>
+ <_>
+ 0 3 14 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.1192855015397072</threshold>
+ <left_val>0.7854182124137878</left_val>
+ <right_val>-0.4541360139846802</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 17 1 8 14 -1.</_>
+ <_>
+ 17 8 8 7 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0641647726297379</threshold>
+ <left_val>-0.7407680749893189</left_val>
+ <right_val>0.2652035951614380</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 7 3 11 6 -1.</_>
+ <_>
+ 7 5 11 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0910761803388596</threshold>
+ <left_val>-0.2063370943069458</left_val>
+ <right_val>0.8400946259498596</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 2 15 6 -1.</_>
+ <_>
+ 5 4 15 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.1129330024123192</threshold>
+ <left_val>0.8284121751785278</left_val>
+ <right_val>-0.1866362988948822</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 4 11 6 -1.</_>
+ <_>
+ 6 6 11 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0741933435201645</threshold>
+ <left_val>0.8354660272598267</left_val>
+ <right_val>-0.1527701020240784</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 17 1 6 3 -1.</_>
+ <_>
+ 19 1 2 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>2.1404659491963685e-005</threshold>
+ <left_val>-0.0716945603489876</left_val>
+ <right_val>0.1858334988355637</right_val></_></_>
+ <_>
+ <!-- tree 6 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 0 15 6 -1.</_>
+ <_>
+ 5 2 15 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0996975302696228</threshold>
+ <left_val>0.6870458126068115</left_val>
+ <right_val>-0.1721730977296829</right_val></_></_>
+ <_>
+ <!-- tree 7 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 7 3 13 6 -1.</_>
+ <_>
+ 7 5 13 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0900413617491722</threshold>
+ <left_val>0.7310237884521484</left_val>
+ <right_val>-0.1368771940469742</right_val></_></_>
+ <_>
+ <!-- tree 8 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 3 6 5 -1.</_>
+ <_>
+ 8 3 3 5 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>2.5138311320915818e-004</threshold>
+ <left_val>-0.3469826877117157</left_val>
+ <right_val>0.3647777140140533</right_val></_></_>
+ <_>
+ <!-- tree 9 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 21 14 4 1 -1.</_>
+ <_>
+ 21 14 2 1 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>1.6144449546118267e-005</threshold>
+ <left_val>-0.3085466027259827</left_val>
+ <right_val>0.2320024073123932</right_val></_></_>
+ <_>
+ <!-- tree 10 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 0 3 3 12 -1.</_>
+ <_>
+ 0 7 3 4 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>1.9363909814273939e-005</threshold>
+ <left_val>-0.3819856047630310</left_val>
+ <right_val>0.2404107004404068</right_val></_></_>
+ <_>
+ <!-- tree 11 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 22 10 3 4 -1.</_>
+ <_>
+ 22 11 3 2 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>6.9673648104071617e-003</threshold>
+ <left_val>0.0545878112316132</left_val>
+ <right_val>-0.7487065792083740</right_val></_></_>
+ <_>
+ <!-- tree 12 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 0 10 3 4 -1.</_>
+ <_>
+ 0 11 3 2 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-4.7189309261739254e-003</threshold>
+ <left_val>-0.7476686835289002</left_val>
+ <right_val>0.1205869019031525</right_val></_></_></trees>
+ <stage_threshold>-1.4372119903564453</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 0 15 8 -1.</_>
+ <_>
+ 5 2 15 4 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.1006335020065308</threshold>
+ <left_val>0.7848083972930908</left_val>
+ <right_val>-0.3866829872131348</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 20 0 5 9 -1.</_>
+ <_>
+ 20 3 5 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0366767607629299</threshold>
+ <left_val>0.5453233718872070</left_val>
+ <right_val>-0.4012677967548370</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 2 13 4 -1.</_>
+ <_>
+ 6 4 13 2 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0815562233328819</threshold>
+ <left_val>-0.1315398067235947</left_val>
+ <right_val>0.8084958195686340</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 7 2 15 6 -1.</_>
+ <_>
+ 7 4 15 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.1064186021685600</threshold>
+ <left_val>0.6782389879226685</left_val>
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@@ Diff output truncated at 100000 characters. @@
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