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1<?xml version="1.0"?>
2<!-
3   22x18 upperbody detector (see the detailed description below).
4
5//////////////////////////////////////////////////////////////////////////
6| Contributors License Agreement
7| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
8|   By downloading, copying, installing or using the software you agree
9|   to this license.
10|   If you do not agree to this license, do not download, install,
11|   copy or use the software.
12|
13| Copyright (c) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
14|  All rights reserved.
15|
16| Redistribution and use in source and binary forms, with or without
17| modification, are permitted provided that the following conditions are
18| met:
19|
20|    * Redistributions of source code must retain the above copyright
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22|    * Redistributions in binary form must reproduce the above
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27|      derived from this software without specific prior written permission.
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29| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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41//////////////////////////////////////////////////////////////////////////
42
43"Haar"-based Detectors For Pedestrian Detection
44===============================================
45by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
46
47This archive provides the following three detectors:
48- upper body detector (most fun, useful in many scenarios!)
49- lower body detector
50- full body detector
51
52These detectors have been successfully applied to pedestrian detection
53in still images. They can be directly passed as parameters to the
54program HaarFaceDetect.
55NOTE: These detectors deal with frontal and backside views but not
56with side views (also see "Known limitations" below).
57
58RESEARCHERS:
59If you are using any of the detectors or involved ideas please cite
60this paper (available at www.vision.ethz.ch/publications/):
61
62@InProceedings{Kruppa03-bmvc,
63  author =       "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
64  title =        "Fast and Robust Face Finding via Local Context."
65  booktitle =    "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
66  year =         "2003",
67  month =        "October"
68}
69
70COMMERCIAL:
71If you have any commercial interest in this work please contact
72hkruppa@inf.ethz.cz
73
74
75ADDITIONAL INFORMATION
76======================
77Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
78that can play back .mpg movies.
79Under Linux that's:
80> ffplay demo.mpg
81or:
82> mplayer demo.mpg
83
84The movie shows a person walking towards the camera in a realistic
85indoor setting. Using ffplay or mplayer you can pause and continue the
86movie by pressing the space bar.
87
88Detections coming from the different detectors are visualized using
89different line styles:
90upper body : dotted line
91lower body : dashed line
92full body  : solid line
93
94You will notice that successful detections containing the target do
95not sit tightly on the body but also include some of the background
96left and right.  This is not a bug but accurately reflects the
97employed training data which also includes portions of the background
98to ensure proper silhouette representation. If you want to get a
99feeling for the training data check out the CBCL data set:
100http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
101
102There is also a small number of false alarms in this sequence.
103NOTE: This is per frame detection, not tracking (which is also one of
104the reasons why it is not mislead by the person's shadow on the back
105wall).
106
107On an Intel Xeon 1.7GHz machine the detectors operate at something
108between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
109detector. The detectors work as well on much lower image resolutions
110which is always an interesting possibility for speed-ups or
111"coarse-to-fine" search strategies.
112
113Additional information e.g. on training parameters, detector
114combination, detecting other types of objects (e.g. cars) etc. is
115available in my PhD thesis report (available end of June). Check out
116www.vision.ethz.ch/kruppa/
117
118
119KNOWN LIMITATIONS
120==================
1211) the detectors only support frontal and back views but not sideviews.
122   Sideviews are trickier and it makes a lot of sense to include additional
123   modalities for their detection, e.g. motion information. I recommend
124   Viola and Jones' ICCV 2003 paper if this further interests you.
125
1262) dont expect these detectors to be as accurate as a frontal face detector.
127   A frontal face as a pattern is pretty distinct with respect to other
128   patterns occuring in the world (i.e. image "background"). This is not so
129   for upper, lower and especially full bodies, because they have to rely
130   on fragile silhouette information rather than internal (facial) features.
131   Still, we found especially the upper body detector to perform amazingly well.
132   In contrast to a face detector these detectors will also work at very low
133   image resolutions
134
135Acknowledgements
136================
137Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
138-->
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1919          <!-- tree 19 -->
1920          <_>
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1941            <right_val>-0.3657059967517853</right_val></_></_>
1942        <_>
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1979        <_>
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2002            <left_val>0.0840022489428520</left_val>
2003            <right_val>-0.1939603984355927</right_val></_></_>
2004        <_>
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2014            <left_val>-0.5898147225379944</left_val>
2015            <right_val>0.0568627603352070</right_val></_></_>
2016        <_>
2017          <!-- tree 27 -->
2018          <_>
2019            <!-- root node -->
2020            <feature>
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2027            <right_val>-0.1159565970301628</right_val></_></_>
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2029          <!-- tree 28 -->
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2038            <left_val>-0.9080532193183899</left_val>
2039            <right_val>0.0414113588631153</right_val></_></_>
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2041          <!-- tree 29 -->
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2050            <left_val>0.0199285894632339</left_val>
2051            <right_val>-0.7369766235351563</right_val></_></_>
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2063            <left_val>-0.0615775510668755</left_val>
2064            <right_val>0.6089993119239807</right_val></_></_>
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2100            <left_val>0.1912523061037064</left_val>
2101            <right_val>-0.1153056994080544</right_val></_></_>
2102        <_>
2103          <!-- tree 34 -->
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2137            <right_val>-0.1909454017877579</right_val></_></_>
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2139          <!-- tree 37 -->
2140          <_>
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2148            <left_val>-0.2472103983163834</left_val>
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2150        <_>
2151          <!-- tree 38 -->
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2200          <!-- tree 42 -->
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2240      <!-- stage 5 -->
2241      <trees>
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2315          <!-- tree 6 -->
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2327          <!-- tree 7 -->
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2338        <_>
2339          <!-- tree 8 -->
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2350        <_>
2351          <!-- tree 9 -->
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2363          <!-- tree 10 -->
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2375          <!-- tree 11 -->
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2387          <!-- tree 12 -->
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2979          <!-- tree 14 -->
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3101          <!-- tree 24 -->
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3355      <stage_threshold>-0.9506993293762207</stage_threshold>
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10403            <left_val>-0.5061904788017273</left_val>
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10454          <!-- tree 28 -->
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12213            <left_val>-0.0407674796879292</left_val>
12214            <right_val>0.3479276895523071</right_val></_></_>
12215        <_>
12216          <!-- tree 93 -->
12217          <_>
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12226            <left_val>0.0201702807098627</left_val>
12227            <right_val>-0.1553200930356979</right_val></_></_>
12228        <_>
12229          <!-- tree 94 -->
12230          <_>
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12232            <feature>
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12237            <threshold>0.0202629491686821</threshold>
12238            <left_val>0.0212923791259527</left_val>
12239            <right_val>-0.6261150240898132</right_val></_></_>
12240        <_>
12241          <!-- tree 95 -->
12242          <_>
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12249            <threshold>-9.1393236070871353e-003</threshold>
12250            <left_val>-0.1363748013973236</left_val>
12251            <right_val>0.0638918429613113</right_val></_></_>
12252        <_>
12253          <!-- tree 96 -->
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12261            <threshold>-0.0562079809606075</threshold>
12262            <left_val>0.4067111909389496</left_val>
12263            <right_val>-0.0332582183182240</right_val></_></_>
12264        <_>
12265          <!-- tree 97 -->
12266          <_>
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12274            <left_val>0.0641743093729019</left_val>
12275            <right_val>-0.0939662382006645</right_val></_></_>
12276        <_>
12277          <!-- tree 98 -->
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12285            <threshold>5.8862278237938881e-003</threshold>
12286            <left_val>-0.0657899603247643</left_val>
12287            <right_val>0.2018133997917175</right_val></_></_>
12288        <_>
12289          <!-- tree 99 -->
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12298            <left_val>-1.</left_val>
12299            <right_val>2.5347759947180748e-003</right_val></_></_>
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12301          <!-- tree 100 -->
12302          <_>
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12310            <left_val>0.0706422030925751</left_val>
12311            <right_val>-0.1963742971420288</right_val></_></_>
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12313          <!-- tree 101 -->
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12322            <left_val>-0.0147377196699381</left_val>
12323            <right_val>0.2242016047239304</right_val></_></_>
12324        <_>
12325          <!-- tree 102 -->
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12334            <left_val>0.1147874966263771</left_val>
12335            <right_val>-0.1176707968115807</right_val></_></_></trees>
12336      <stage_threshold>-0.7688630819320679</stage_threshold>
12337      <parent>16</parent>
12338      <next>-1</next></_>
12339    <_>
12340      <!-- stage 18 -->
12341      <trees>
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12345            <!-- root node -->
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12347              <rects>
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12349                <_>5 13 12 2 2.</_></rects>
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12352            <left_val>0.0886986628174782</left_val>
12353            <right_val>-0.3859564960002899</right_val></_></_>
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12355          <!-- tree 1 -->
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12364            <left_val>0.1677206009626389</left_val>
12365            <right_val>-0.1464917063713074</right_val></_></_>
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12376            <left_val>-0.0133940000087023</left_val>
12377            <right_val>0.6183267235755920</right_val></_></_>
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12379          <!-- tree 3 -->
12380          <_>
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12387            <threshold>-8.9100059121847153e-003</threshold>
12388            <left_val>-0.2695023119449616</left_val>
12389            <right_val>0.0729398131370544</right_val></_></_>
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12391          <!-- tree 4 -->
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12398              <tilted>0</tilted></feature>
12399            <threshold>0.0177438799291849</threshold>
12400            <left_val>-0.0502171888947487</left_val>
12401            <right_val>0.4316602051258087</right_val></_></_>
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12403          <!-- tree 5 -->
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12412            <left_val>0.0391558595001698</left_val>
12413            <right_val>-0.5286077260971069</right_val></_></_>
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12415          <!-- tree 6 -->
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12425            <left_val>0.0695810392498970</left_val>
12426            <right_val>-0.3761014044284821</right_val></_></_>
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12428          <!-- tree 7 -->
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12438            <left_val>0.2322065979242325</left_val>
12439            <right_val>-0.0559795796871185</right_val></_></_>
12440        <_>
12441          <!-- tree 8 -->
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12450            <threshold>-0.0115568395704031</threshold>
12451            <left_val>-0.3123108148574829</left_val>
12452            <right_val>0.0743399634957314</right_val></_></_>
12453        <_>
12454          <!-- tree 9 -->
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12463            <threshold>-0.0696514770388603</threshold>
12464            <left_val>-0.4190568923950195</left_val>
12465            <right_val>6.9694789126515388e-003</right_val></_></_>
12466        <_>
12467          <!-- tree 10 -->
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12476            <threshold>-5.0344727933406830e-003</threshold>
12477            <left_val>0.1318362057209015</left_val>
12478            <right_val>-0.1970203071832657</right_val></_></_>
12479        <_>
12480          <!-- tree 11 -->
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12490            <left_val>0.6572775244712830</left_val>
12491            <right_val>-9.5664570108056068e-003</right_val></_></_>
12492        <_>
12493          <!-- tree 12 -->
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12501              <tilted>0</tilted></feature>
12502            <threshold>0.0255463197827339</threshold>
12503            <left_val>-0.0401363410055637</left_val>
12504            <right_val>0.5484703779220581</right_val></_></_>
12505        <_>
12506          <!-- tree 13 -->
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12515            <threshold>-0.0268708802759647</threshold>
12516            <left_val>-0.2530665099620819</left_val>
12517            <right_val>0.0441817194223404</right_val></_></_>
12518        <_>
12519          <!-- tree 14 -->
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12528            <left_val>-0.0818824619054794</left_val>
12529            <right_val>0.2689467072486877</right_val></_></_>
12530        <_>
12531          <!-- tree 15 -->
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12541            <left_val>0.0265933498740196</left_val>
12542            <right_val>-0.4412704110145569</right_val></_></_>
12543        <_>
12544          <!-- tree 16 -->
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12553            <threshold>-0.0144908400252461</threshold>
12554            <left_val>-0.3569746911525726</left_val>
12555            <right_val>0.0700729414820671</right_val></_></_>
12556        <_>
12557          <!-- tree 17 -->
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12565            <threshold>-2.2448399104177952e-003</threshold>
12566            <left_val>0.2008823007345200</left_val>
12567            <right_val>-0.1222817003726959</right_val></_></_>
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12569          <!-- tree 18 -->
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12578            <left_val>0.0458209812641144</left_val>
12579            <right_val>-0.3949818909168243</right_val></_></_>
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12581          <!-- tree 19 -->
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12590            <left_val>-0.1882608979940414</left_val>
12591            <right_val>0.0788120776414871</right_val></_></_>
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12593          <!-- tree 20 -->
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12602            <left_val>-0.0616842210292816</left_val>
12603            <right_val>0.3360370099544525</right_val></_></_>
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12605          <!-- tree 21 -->
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12614            <left_val>-0.1947139054536820</left_val>
12615            <right_val>0.0531471893191338</right_val></_></_>
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12625            <threshold>-1.2753040064126253e-003</threshold>
12626            <left_val>0.1480087935924530</left_val>
12627            <right_val>-0.1424434930086136</right_val></_></_>
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12637            <threshold>0.0220602806657553</threshold>
12638            <left_val>-0.0354067385196686</left_val>
12639            <right_val>0.3377530872821808</right_val></_></_>
12640        <_>
12641          <!-- tree 24 -->
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12651            <left_val>0.0422891303896904</left_val>
12652            <right_val>-0.4588645100593567</right_val></_></_>
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12654          <!-- tree 25 -->
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12662            <threshold>0.0956372097134590</threshold>
12663            <left_val>-0.0131716495379806</left_val>
12664            <right_val>0.5553498268127441</right_val></_></_>
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12675            <left_val>-0.1884289979934692</left_val>
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12678          <!-- tree 27 -->
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12688            <right_val>0.1053673028945923</right_val></_></_>
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12690          <!-- tree 28 -->
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12711            <left_val>0.5424798727035523</left_val>
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12727          <!-- tree 31 -->
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12736            <left_val>-0.4127010107040405</left_val>
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12739          <!-- tree 32 -->
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12748            <left_val>0.1103534996509552</left_val>
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12751          <!-- tree 33 -->
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12760            <left_val>-0.0134100103750825</left_val>
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12762        <_>
12763          <!-- tree 34 -->
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12775          <!-- tree 35 -->
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13359      <parent>17</parent>
13360      <next>-1</next></_>
13361    <_>
13362      <!-- stage 19 -->
13363      <trees>
13364        <_>
13365          <!-- tree 0 -->
13366          <_>
13367            <!-- root node -->
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13374            <left_val>-0.1141010969877243</left_val>
13375            <right_val>0.4003581106662750</right_val></_></_>
13376        <_>
13377          <!-- tree 1 -->
13378          <_>
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13386            <left_val>-0.0720138773322105</left_val>
13387            <right_val>0.3609578013420105</right_val></_></_>
13388        <_>
13389          <!-- tree 2 -->
13390          <_>
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13398            <left_val>-0.1723437011241913</left_val>
13399            <right_val>0.1822322010993958</right_val></_></_>
13400        <_>
13401          <!-- tree 3 -->
13402          <_>
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13410            <threshold>7.4607720307540148e-005</threshold>
13411            <left_val>-0.0816272869706154</left_val>
13412            <right_val>0.0888885036110878</right_val></_></_>
13413        <_>
13414          <!-- tree 4 -->
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13423            <left_val>-0.1284023970365524</left_val>
13424            <right_val>0.1179141998291016</right_val></_></_>
13425        <_>
13426          <!-- tree 5 -->
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13435            <left_val>0.0209603402763605</left_val>
13436            <right_val>0.1902469992637634</right_val></_></_>
13437        <_>
13438          <!-- tree 6 -->
13439          <_>
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13446            <threshold>-2.0460959058254957e-003</threshold>
13447            <left_val>0.0957124978303909</left_val>
13448            <right_val>-0.2151706069707871</right_val></_></_>
13449        <_>
13450          <!-- tree 7 -->
13451          <_>
13452            <!-- root node -->
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13454              <rects>
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13459            <left_val>-0.0561004802584648</left_val>
13460            <right_val>0.2098432034254074</right_val></_></_>
13461        <_>
13462          <!-- tree 8 -->
13463          <_>
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13471            <threshold>-6.5832170657813549e-003</threshold>
13472            <left_val>-0.2113818973302841</left_val>
13473            <right_val>0.0760941505432129</right_val></_></_>
13474        <_>
13475          <!-- tree 9 -->
13476          <_>
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13484            <left_val>0.1310734003782272</left_val>
13485            <right_val>-0.1567085981369019</right_val></_></_>
13486        <_>
13487          <!-- tree 10 -->
13488          <_>
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13497            <left_val>0.5404803752899170</left_val>
13498            <right_val>-0.0190594792366028</right_val></_></_>
13499        <_>
13500          <!-- tree 11 -->
13501          <_>
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13509            <left_val>0.0517124012112617</left_val>
13510            <right_val>-0.1721616983413696</right_val></_></_>
13511        <_>
13512          <!-- tree 12 -->
13513          <_>
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13516              <rects>
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13520            <threshold>3.5091140307486057e-003</threshold>
13521            <left_val>-0.0767679512500763</left_val>
13522            <right_val>0.1777625977993012</right_val></_></_>
13523        <_>
13524          <!-- tree 13 -->
13525          <_>
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13531              <tilted>1</tilted></feature>
13532            <threshold>0.0155975697562099</threshold>
13533            <left_val>0.0383078902959824</left_val>
13534            <right_val>-0.1473001986742020</right_val></_></_>
13535        <_>
13536          <!-- tree 14 -->
13537          <_>
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13539            <feature>
13540              <rects>
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13542                <_>10 6 9 1 3.</_></rects>
13543              <tilted>1</tilted></feature>
13544            <threshold>-0.0362853705883026</threshold>
13545            <left_val>0.3534766137599945</left_val>
13546            <right_val>-0.0450184904038906</right_val></_></_>
13547        <_>
13548          <!-- tree 15 -->
13549          <_>
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13551            <feature>
13552              <rects>
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13555              <tilted>0</tilted></feature>
13556            <threshold>-0.0451182983815670</threshold>
13557            <left_val>-0.5707414150238037</left_val>
13558            <right_val>0.0106467101722956</right_val></_></_>
13559        <_>
13560          <!-- tree 16 -->
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13564              <rects>
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13568            <threshold>0.0137345800176263</threshold>
13569            <left_val>0.0660183578729630</left_val>
13570            <right_val>-0.2048089057207108</right_val></_></_>
13571        <_>
13572          <!-- tree 17 -->
13573          <_>
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13576              <rects>
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13579              <tilted>0</tilted></feature>
13580            <threshold>-0.0271209795027971</threshold>
13581            <left_val>0.0480942092835903</left_val>
13582            <right_val>-0.0513949617743492</right_val></_></_>
13583        <_>
13584          <!-- tree 18 -->
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13593            <left_val>-0.2354800999164581</left_val>
13594            <right_val>0.0530746094882488</right_val></_></_>
13595        <_>
13596          <!-- tree 19 -->
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13605            <left_val>-0.0589443407952785</left_val>
13606            <right_val>0.1182541027665138</right_val></_></_>
13607        <_>
13608          <!-- tree 20 -->
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13617            <left_val>-0.0500144883990288</left_val>
13618            <right_val>0.2690939903259277</right_val></_></_>
13619        <_>
13620          <!-- tree 21 -->
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13629            <left_val>-0.1294703930616379</left_val>
13630            <right_val>0.0886970385909081</right_val></_></_>
13631        <_>
13632          <!-- tree 22 -->
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13640            <threshold>-4.1431561112403870e-003</threshold>
13641            <left_val>-0.1788363009691238</left_val>
13642            <right_val>0.0690981075167656</right_val></_></_>
13643        <_>
13644          <!-- tree 23 -->
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13653            <left_val>-1.</left_val>
13654            <right_val>4.7263409942388535e-003</right_val></_></_>
13655        <_>
13656          <!-- tree 24 -->
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13665            <left_val>-0.0540387704968452</left_val>
13666            <right_val>0.2411547005176544</right_val></_></_>
13667        <_>
13668          <!-- tree 25 -->
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13677            <left_val>-0.0806248933076859</left_val>
13678            <right_val>0.1162756010890007</right_val></_></_>
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13690            <left_val>-0.1819397956132889</left_val>
13691            <right_val>0.0774685069918633</right_val></_></_>
13692        <_>
13693          <!-- tree 27 -->
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13702            <left_val>0.0462650507688522</left_val>
13703            <right_val>-0.2273202985525131</right_val></_></_>
13704        <_>
13705          <!-- tree 28 -->
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13714            <left_val>-0.1182428970932961</left_val>
13715            <right_val>0.1109569966793060</right_val></_></_>
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13717          <!-- tree 29 -->
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13726            <left_val>-0.3028686940670013</left_val>
13727            <right_val>3.1856179703027010e-003</right_val></_></_>
13728        <_>
13729          <!-- tree 30 -->
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13738            <left_val>0.1375810056924820</left_val>
13739            <right_val>-0.0916903465986252</right_val></_></_>
13740        <_>
13741          <!-- tree 31 -->
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13750            <left_val>-0.2301352024078369</left_val>
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13752        <_>
13753          <!-- tree 32 -->
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13762            <threshold>0.0158367007970810</threshold>
13763            <left_val>-0.0452521592378616</left_val>
13764            <right_val>0.2933708131313324</right_val></_></_>
13765        <_>
13766          <!-- tree 33 -->
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13775            <left_val>0.0597066916525364</left_val>
13776            <right_val>-0.1641553044319153</right_val></_></_>
13777        <_>
13778          <!-- tree 34 -->
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13787            <left_val>0.0634605363011360</left_val>
13788            <right_val>-0.2136048972606659</right_val></_></_>
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13790          <!-- tree 35 -->
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13799            <left_val>0.1064511016011238</left_val>
13800            <right_val>-0.0595391802489758</right_val></_></_>
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13802          <!-- tree 36 -->
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13810            <threshold>5.0743711180984974e-003</threshold>
13811            <left_val>-0.0943770334124565</left_val>
13812            <right_val>0.2299972027540207</right_val></_></_>
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13814          <!-- tree 37 -->
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13835            <left_val>0.0879190564155579</left_val>
13836            <right_val>-0.1928738057613373</right_val></_></_>
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13838          <!-- tree 39 -->
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13847            <left_val>-0.1093555986881256</left_val>
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13850          <!-- tree 40 -->
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13859            <left_val>-0.0525113493204117</left_val>
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13862          <!-- tree 41 -->
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13871            <left_val>-0.4531044960021973</left_val>
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13883            <left_val>-0.0970931202173233</left_val>
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13886          <!-- tree 43 -->
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13912          <!-- tree 45 -->
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13921            <left_val>-0.0618781596422195</left_val>
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13923        <_>
13924          <!-- tree 46 -->
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13933            <left_val>-0.0974202826619148</left_val>
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15675          <!-- tree 88 -->
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22585            <right_val>8.3142798393964767e-003</right_val></_></_>
22586        <_>
22587          <!-- tree 102 -->
22588          <_>
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22596            <left_val>-0.8570597171783447</left_val>
22597            <right_val>0.0105499401688576</right_val></_></_>
22598        <_>
22599          <!-- tree 103 -->
22600          <_>
22601            <!-- root node -->
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22609            <right_val>-0.0224885791540146</right_val></_></_>
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22611          <!-- tree 104 -->
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22620            <left_val>-0.1109644025564194</left_val>
22621            <right_val>0.1040541008114815</right_val></_></_>
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22623          <!-- tree 105 -->
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22633            <left_val>7.3841079138219357e-003</left_val>
22634            <right_val>-0.4976033866405487</right_val></_></_>
22635        <_>
22636          <!-- tree 106 -->
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22646            <left_val>-0.0632127001881599</left_val>
22647            <right_val>0.2628476023674011</right_val></_></_>
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22649          <!-- tree 107 -->
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22659            <right_val>-0.1017431020736694</right_val></_></_>
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22661          <!-- tree 108 -->
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22671            <right_val>0.0661599636077881</right_val></_></_>
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22673          <!-- tree 109 -->
22674          <_>
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22683            <right_val>0.0835154727101326</right_val></_></_>
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22685          <!-- tree 110 -->
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22695            <right_val>-0.0591160506010056</right_val></_></_>
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22697          <!-- tree 111 -->
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22709          <!-- tree 112 -->
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22719            <right_val>-0.0885426402091980</right_val></_></_>
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22757          <!-- tree 116 -->
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22795          <!-- tree 119 -->
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22805            <right_val>-0.0577118992805481</right_val></_></_>
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22807          <!-- tree 120 -->
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22817            <right_val>-0.0773000419139862</right_val></_></_>
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22828            <left_val>0.0141812795773149</left_val>
22829            <right_val>-0.2180342972278595</right_val></_></_>
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22843          <!-- tree 123 -->
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22865            <right_val>-0.1511144042015076</right_val></_></_>
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22877            <right_val>-0.4725382030010223</right_val></_></_>
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22879          <!-- tree 126 -->
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22888            <left_val>0.0539631508290768</left_val>
22889            <right_val>-0.1742976009845734</right_val></_></_></trees>
22890      <stage_threshold>-30.6205997467041020</stage_threshold>
22891      <parent>24</parent>
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22943            <right_val>-0.0558997616171837</right_val></_></_>
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22956        <_>
22957          <!-- tree 5 -->
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22992        <_>
22993          <!-- tree 8 -->
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23015            <left_val>0.0536169484257698</left_val>
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23018          <!-- tree 10 -->
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23030          <!-- tree 11 -->
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23039            <left_val>-0.2825511991977692</left_val>
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23042          <!-- tree 12 -->
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23051            <left_val>-0.0539425984025002</left_val>
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23053        <_>
23054          <!-- tree 13 -->
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23064            <left_val>0.0281029809266329</left_val>
23065            <right_val>-0.2180289030075073</right_val></_></_>
23066        <_>
23067          <!-- tree 14 -->
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23077            <left_val>0.0636170208454132</left_val>
23078            <right_val>-0.1746082007884979</right_val></_></_>
23079        <_>
23080          <!-- tree 15 -->
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23089            <left_val>-0.0210623797029257</left_val>
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23092          <!-- tree 16 -->
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23104        <_>
23105          <!-- tree 17 -->
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23114            <threshold>0.0278552304953337</threshold>
23115            <left_val>-0.0356479696929455</left_val>
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23117        <_>
23118          <!-- tree 18 -->
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23129        <_>
23130          <!-- tree 19 -->
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23140            <right_val>8.1426621181890368e-004</right_val></_></_>
23141        <_>
23142          <!-- tree 20 -->
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23151            <left_val>-0.0540085881948471</left_val>
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23153        <_>
23154          <!-- tree 21 -->
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25332            <left_val>-0.7695127725601196</left_val>
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27776          <!-- tree 114 -->
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