Olena-patches June 2010

olena-patches@lrde.epita.fr

9 participants
276 discussions

last-svn-commit-137-gdb55e63 Add the binarization tool submitted to H-DIBCO 2010.

by Guillaume Lazzara

* src/Makefile.am, * src/contest/Makefile.am, * src/contest/hdibco-2010/Makefile.am: New. * src/contest/hdibco-2010/sauvola_ms_hdibco.cc: New. Source code of the submitted program for H-DIBCO 2010. --- scribo/ChangeLog | 11 ++ scribo/src/Makefile.am | 1 + .../{tests/toolchain => src/contest}/Makefile.am | 2 +- .../contest/hdibco-2010}/Makefile.am | 8 +- .../hdibco-2010/sauvola_ms_hdibco.cc} | 100 +++++++------------ 5 files changed, 56 insertions(+), 66 deletions(-) copy scribo/{tests/toolchain => src/contest}/Makefile.am (98%) copy scribo/{tests/toolchain => src/contest/hdibco-2010}/Makefile.am (87%) copy scribo/src/{binarization/pgm_sauvola_ms.cc => contest/hdibco-2010/sauvola_ms_hdibco.cc} (53%) diff --git a/scribo/ChangeLog b/scribo/ChangeLog index f2eb3c3..3888981 100644 --- a/scribo/ChangeLog +++ b/scribo/ChangeLog @@ -1,5 +1,16 @@ 2010-06-03 Guillaume Lazzara <z(a)lrde.epita.fr> + Add the binarization tool submitted to H-DIBCO 2010. + + * src/Makefile.am, + * src/contest/Makefile.am, + * src/contest/hdibco-2010/Makefile.am: New. + + * src/contest/hdibco-2010/sauvola_ms_hdibco.cc: New. Source code + of the submitted program for H-DIBCO 2010. + +2010-06-03 Guillaume Lazzara <z(a)lrde.epita.fr> + Update tools in scribo/src. * src/Makefile.am: Add postprocessing subdir. diff --git a/scribo/src/Makefile.am b/scribo/src/Makefile.am index b3a7859..774740a 100644 --- a/scribo/src/Makefile.am +++ b/scribo/src/Makefile.am @@ -22,6 +22,7 @@ include $(top_srcdir)/scribo/scribo.mk SUBDIRS = \ binarization \ + contest \ debug \ primitive \ filter \ diff --git a/scribo/tests/toolchain/Makefile.am b/scribo/src/contest/Makefile.am similarity index 98% copy from scribo/tests/toolchain/Makefile.am copy to scribo/src/contest/Makefile.am index 826fb86..81f314b 100644 --- a/scribo/tests/toolchain/Makefile.am +++ b/scribo/src/contest/Makefile.am @@ -20,4 +20,4 @@ include $(top_srcdir)/scribo/tests/tests.mk SUBDIRS = \ - nepomuk \ No newline at end of file + hdibco-2010 \ No newline at end of file diff --git a/scribo/tests/toolchain/Makefile.am b/scribo/src/contest/hdibco-2010/Makefile.am similarity index 87% copy from scribo/tests/toolchain/Makefile.am copy to scribo/src/contest/hdibco-2010/Makefile.am index 826fb86..44add64 100644 --- a/scribo/tests/toolchain/Makefile.am +++ b/scribo/src/contest/hdibco-2010/Makefile.am @@ -19,5 +19,9 @@ include $(top_srcdir)/scribo/tests/tests.mk -SUBDIRS = \ - nepomuk \ No newline at end of file +check_PROGRAMS = sauvola_ms_hdibco + +sauvola_ms_hdibco_SOURCES = sauvola_ms_hdibco.cc + + +TESTS = $(check_PROGRAMS) diff --git a/scribo/src/binarization/pgm_sauvola_ms.cc b/scribo/src/contest/hdibco-2010/sauvola_ms_hdibco.cc similarity index 53% copy from scribo/src/binarization/pgm_sauvola_ms.cc copy to scribo/src/contest/hdibco-2010/sauvola_ms_hdibco.cc index 38ff2e6..68fdaac 100644 --- a/scribo/src/binarization/pgm_sauvola_ms.cc +++ b/scribo/src/contest/hdibco-2010/sauvola_ms_hdibco.cc @@ -1,5 +1,4 @@ -// Copyright (C) 2009, 2010 EPITA Research and Development Laboratory -// (LRDE) +// Copyright (C) 2010 EPITA Research and Development Laboratory (LRDE) // // This file is part of Olena. // @@ -24,86 +23,61 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. +#include <cctype> #include <mln/core/image/image2d.hh> #include <mln/value/int_u8.hh> #include <mln/io/pgm/load.hh> +#include <mln/io/ppm/load.hh> #include <mln/io/pbm/save.hh> #include <scribo/binarization/sauvola_ms.hh> -#include <scribo/debug/usage.hh> - -bool check_args(int argc, char * argv[]) -{ - if (argc < 3 || argc > 6) - return false; - - if (argc >= 5) - { - int s = atoi(argv[4]); - - if (s < 1 || s > 3) - { - std::cout << "s must be set to 2 or 3." - << std::endl; - return false; - } - } - - return true; -} - - -const char *args_desc[][2] = -{ - { "input.pgm", "A graylevel image." }, - { "out.pbm", "A binary image." }, - { "w", "Window size at scale 1. (default: 101)" }, - { "s", "First subsampling ratio (default: 3)." }, - { "k", "Sauvola's formuale parameter (default: 0.34)" }, - {0, 0} -}; - - - +#include <scribo/postprocessing/fill_object_holes.hh> +#include <scribo/preprocessing/denoise.hh> int main(int argc, char *argv[]) { using namespace mln; using namespace scribo; - if (!check_args(argc, argv)) - return scribo::debug::usage(argv, - "Multi-Scale Binarization of a color image based on Sauvola's algorithm.", - "input.pgm output.pbm <w> <s> <k>", - args_desc); - trace::entering("main"); + if (argc != 3) + { + std::cout << "Usage: " << argv[0] << " <input.{pgm,ppm}> <output.pbm>" << std::endl; + std::cout << "--------------" << std::endl; + std::cout << "EPITA/LRDE - 2010" << std::endl; + return 1; + } - // Window size - unsigned w_1; - if (argc >= 4) - w_1 = atoi(argv[3]); // Scale 1 - else - w_1 = 101u; + std::string ext = argv[1]; + ext = ext.substr(ext.length() - 3, 3); + for (unsigned i = 0; i < ext.length(); ++i) + ext[i] = tolower(ext[i]); - // First subsampling scale. - unsigned s; - if (argc >= 5) - s = atoi(argv[4]); - else - s = 3u; + // Load + image2d<value::int_u8> input; - double k; - if (argc >= 6) - k = atof(argv[5]); - else - k = 0.34f; + if (ext == "pgm") + io::pgm::load(input, argv[1]); + else if (ext == "ppm") + { + image2d<value::rgb8> input_color; + io::ppm::load(input_color, argv[1]); - image2d<value::int_u8> input_1; - io::pgm::load(input_1, argv[1]); + // Convert to Gray level image. + input = data::transform(input_color, mln::fun::v2v::rgb_to_int_u<8>()); + } + else + { + std::cout << "Invalid input file format! Expecting PGM or PPM images." << std::endl; + return 1; + } + // Binarize image2d<bool> - output = scribo::binarization::sauvola_ms(input_1, w_1, s, k); + output = scribo::binarization::sauvola_ms(input, 101, 3, 0.4); + + output = scribo::preprocessing::denoise_bg(output, c8(), 4); + output = scribo::postprocessing::fill_object_holes(output, 0.01f); io::pbm::save(output, argv[2]); } -- 1.5.6.5

13 years, 5 months

[Olena] #210: Check ImageMagick save() routine

by Olena Trac

#210: Check ImageMagick save() routine ---------------------+------------------------------------------------------ Reporter: freling | Owner: freling Type: defect | Status: new Priority: minor | Milestone: Olena 1.1 Component: Milena | Version: 1.0 Keywords: io | ---------------------+------------------------------------------------------ The save() routine located in mln/io/magick/save.hh has a weird behavior. We have to do a strange affectation (IM_value = 256 - MLN_value) but we don't really know why. -- Ticket URL: <https://trac.lrde.org/olena/ticket/210> Olena <http://olena.lrde.epita.fr> Olena, a generic and efficient C++ image processing library.

13 years, 9 months

last-svn-commit-214-gb15c1b6 Delete BUG image file in milena/img.

by green

* milena/img/BUG_lean_ascii.pgm.gz: Delete this file. --- milena/img/BUG_lean_ascii.pgm.gz | Bin 75726 -> 0 bytes 1 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 milena/img/BUG_lean_ascii.pgm.gz diff --git a/milena/img/BUG_lean_ascii.pgm.gz b/milena/img/BUG_lean_ascii.pgm.gz deleted file mode 100644 index 7ba3e9d1b02e3a41704448faf72a6c7afe2e8259..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 75726 zcmV)EK)}BriwFqaeZols1430tUu<PzZeL+@V`*tFaA$1*r2R{8CDHQ)2<_`rSYiX4 zne%?k4k5%2Mk6$0J3=GD1`r@VKV2syGUJr}-^_1uWw+byzP`6kR%T>8{`>O$uYUe_ z|HJ?OfBS#_Km8B?-OvB!fBg9$|L6br|L6by|NMXa)c+=@|LN!FfB2vOfB)T2F8^)W z|Ltx+|Lgz$|M-9S`G5US|KI=X|LrILH|2lxls<m`J^p>{Pp<PP*YWRB@p1ioG&~9( z|GrlCzmM7eT&Df`d@cPv_7}?@?cX=Fe?O>ad$fPw)ZVXG`=R;YpY!_p+3DwJ{d<h| z?@@l9pOOE4vVVT&zmK!x@$WC^!pHINvGK9v>jNL{dmj77f8Vq!9?L$y|J!~){`=wk z-#_~Ivb>+?RQ`SZ_w3U9^?4poPV@XlPRYOc{-d1UAF%Owzo(rCe}Mg)dOm;b3kiQw z{V(im?>Bb*Ipgz+kKO<L*#GeU1^>75bN}G%&nTyXf0+D%Unk2yuK31;-yQ!bXZiJ( z|6sm8Pkhn-!TV=^v%V(rSa^{a9`9THzWQt9z5n-3tJyU$i@lYr<3ITKpXGngv}C*3 z&h=#%=aXALSDpQ3$JO{g7QQ*z=jRH>=jSo}dmsCx;~Td8FU9`hxwLsC3jX|F+5f)p z-?PmBe%+`1dm+oer&@A}$NR#LeV+c$ocPr?F3J_Z{<#?cJ(Kgr_k}ut!FM2^7tFpf z<72`L`hHKx!>;7Ve!##N243-jf4uOHWcwaI_WNu7`xRS12lUDLeZl^-a`2oN^gk>I z&sz`v({g}P@Sl}~$By}bRt}yx=Kssf!DC<e&&mOQo&T&HJUr6>NjZ4z^8U}t!DAQL ze^w5j_y_;X%fa*3ga5P~oOkCxEeBQ#{=;(coD+J=!NTv&5`f?ToN}J@CNFmO7x?jS zI<Nltl!IiCs~i-RgKRIuImM%+6uh<JJ>Cgrf#sm%W5w~WpU>ad<orR)LBhp0?IJrb zHZI8Xf;POs)34@7kGY+Nd|l>te)dls4<6R^!^4XkdY1Z7<oKsg?MQzd)~sDY`H8YH z@QnDsC;x%==W@P>2Nb`~kQ!31|0RB1mWcZ6gg<xrOY-{E>&3H+Z_0(Z^or$`nWH3} ztFq#(;GKKlvEA+2yamcn{JHP6xaXX!u;Ek>Ji2{67vzkqmsf6i>xq9e|KY-M#}7UK zsN!S6=lJ`#B%HIe{(a-W-?jXEORXGaJnFwc|N95?{lNw0AfwXdC<n{SW5-p<E3@In zD^Ui#eiSJOja|XO52<#kpU<1T`c*#9I0^$l^u0Hq8e7kc_x=F;eXG0%%|1WBe@E$D zpFf`(Tklu=)Xw+#H}oG{O2R-<f4`UarG!)bmVy57+4O%;yYC<C6k2oyr!=rc6zL$^ z`SWxB^3;Wl+JQFW{N5-D=f&;uqWX*6dGi{6_lxr|{m)Sf^iH_^NZ=F~KYVfQvz()R z{UiQIS{@$$;r<5R(0TN$mxOqR-S69v{ZFiF>8e`yjXt`7c&2uZ`Nd}6RIg6SUbt^J z@cp|kH!trDigX4gn!WdJUF_KsI)rs@U{BnvJMKFfS7MhAp<PFxqpS=F>r)1j{DUqv zBuP0a*AKF1GTw5K{vG{)CE#D*R&qjjP|xT2ea$+`r}w%Whw;27xLIAtouy$&X^<<{ zUs$iP6@RI<Bz^v2kpkVNCJ$Wp3$OgYQ~SeC$x8uCW0sOAWfL!Q)L4G;e8Y^+;5-&O zgN^clcP5W>bwB5tcpLq<Gx+!7{q$iU518<NecH#<ZYBHkxpuBnknx2gt;CiNq2t0s zuXbKTeM~LXU5@+u<L<ZQF1e&kEW3@yV356ai1xesp|n3w>FW!7`yt<uu6wNhpu74H zx#^!#B}q%kAGGDV*q>9pr6?s{Y}1dleN+7$_wo}by~^v=<YM!yly|g(TjYw)V6lkf z+$?)%&aaeDDM;4TvR`LE>!)<dMOdQ$mzz4!tsIb-cL+P~a^4K<gt6s^@SER)^zUNJ z|9+*Cnsf*#3vXdwc8<=)cdpubs^4=;;JHC183=Tgl~aCwU-J|FMD6IGwxP(t(B<>_ zd57Mj^d7!{!_QB7AOHSgCLVxtP>2=eyG*hqoB`pycuQW?9oWGs2R(*`QxX<BhGMT} zPIenTzx#WF-;Usvf{uaVEe9PPLdF1*tt1Gp@K}Ao7tZGjHsC@#9fH27MPB^GxmXX_ zyk5{aBU`$MEqFqXQ_Sul@Utxg0S{%9$z$o5KjeQ|pTabxzhCnA<9f!AP80E%Qe)bu z!rcQW`jhmz+kdChd36AH8Q3}?XidS@%3k#p>5h(?l^z}TntUej)X?q9EF5D8de|&C z`6(A-i>vx71zrvmV5t8^dC=LIfJ0?r0yK6o#U&U528MUed0))YPSuYq_Dl^0s8*N3 zY01qUCG&hF&a%7-kglLc+jZ5Fde`4~DDaE3vJ@2S2>$&#|DG=%?f21VIp7N|UBeSK zb4E!xKVV}}7zVbS2g(9VLERYNa<Qv&0TUP%!@@+Tuu%^9LMFiv?Am#vU0^9lXeHQ! zE-42i@B@Eg3%i0MFJ`+2g!`7c|7eUC&rbi`xcQH(l!qxJe!5QkV}&RE#K-ZY0A3WN z^lOaatoYosOqU;~y-D=~b+;f6I4rML_cLjq*FY!KCHE&U1??xAohChP3GBdoxC%%S zBj34=o~J(zQ_M^H`G%pP%gu}3f+ApNE}kD$JV_@Yf7TnE*B7D|-X$lDB>12IU2u87 z14H?ggSTV&_ru<*)@-VO>=NdXR0Y|(ugZWA^QWiHoV;-C9S+lhVal{IyevekdOGTN zIQaL6e=pF#=lQQISk@h!Un~Cs9cstKW#X?=Fr!$XuAs@Fz;b|6(Ci1>l#y{}d{`*J z4|ZS&Jner#ir64zl!1cDb3{3q_`wb*5_Sz3@rg39r0JcX&lM;5BIliFXa6x_Oeqb& zCyzLg`<~DP@L#`>jJxOG-&4HhXm7y{@~1c@8Cj+jtHH{)KXBmwbOhrw%Km~4brq97 zFDfwvy#1$OSCoe3h_Ust3oX}suLXz@9m147SeM;cmyP5ZUz5}gxzqWip(TJ{>p1m| zYltQL3$_v&YleS6bPt0S&#+MA@xG(88_wnv1Fz0g3io|=`s!gwS72q~xoX6Ph<9nf z+BL34YdX*jzXz&L>jwV)u5U+RrQrRV04|EhUauAL6aPXNFlJ&%sB-*S0;<7>&ECDo z(clcIY~eJYGVpc>6=eZ8`%@CC;{?D8rc4gFpB$iJN&T489q@vi{yKiTf+m-E+@o)_ zZ(iLuwr@IEf5EsVi-F`z0Xuxt-=*i?U5wB2a0<qlWg)Pxd-oHaK>pN>@3ZT^eh3Ir z$O#Ie{zfjogF_X3*6~<fEzA$zh#$1{800{9&bzi*?Ta;eyG1!*hu}9b;?uesZ@k#H z)C=tps{C1&jOU7OvT109$P`u|QY%oLMhC1|PDfxJLUUO0c>#tOS3IwaFT{AWT2T)8 zy8Jrz{Vxzk5uEiI<rLs%dwPgHFI-rx6y%MrpxGna$E$N<@9&^Z<9?@ou-F|%`W*R& z<Ik-E$^qcT$KDyB6S<;VwcsHg>|mf%K>vSk_`@-SCpL@RR96`iP!_x;<5q>O>BN5L z00}jUvA>Y*GY8Ml*^2GLqok#qoS@_U{?G!-)jd4FiwzkJUpR4J|3NGWt{>7rOT>Ov zwR_#!uQlhR%}Nv-1*OWTTiTy{Qdg`%pKkuVsLN3sdv~e~3QMZ}0Q3WD$O||bq&TF{ zAGrD7r~ZkXRF-eru{6B)>T)OafkDx7F9GxCA}ky<1ONNGSUerVKsm52!(%PNzyD>~ zQ?{<4$_=Z@>oBGNZ(0h*=jJs9DQ>^Ux0?{x&|16)>tC1j@3{gmXjT#gM*Jx<ByfO| z<?9nKUJlsM*D)2C0n0(Uhl7?`s3+bkOkTO-a>i?Mj(tWsNGJ)|f1I2BxlULH+6^C` zfuW;2z($fZMeh!5+4@|V;!?Ip`2&a5)7|}yJ-YV)s~p^aUVkj+H*e^_zaj3?QKX_{ znAhWB?YQg4mfF&P?LzH3nP|~62ZZ_gAC{DZ`GH!;r%WXNI>W((yT0~&P(Up{|KYhS z8g?Mm5q5|B9vBV@K`8<gr+n$fM&Mvd`_N^&kXcw+b>0+bqUB0ZP~^M^esDU3cbDD| zPN0j&$6ACgxFYylBq4Y?NHRPvDG37`Nxw>mpx^_ju)bp)HXADbWLHqF6uf2NJ@#iv z*ccKD%0mq((HAIzuRIq=%U{G2ua7SmJFo(lhk_E3z#^+n$^l@ZgofvR%MX+|gmchi z**M>e?S1j^2OkW$edMjgc?ZA}&iy8~+fTFzQ+7M~)9`j_x4PT~_f71%R}k|jmICQB zStvoFD^@TCoYQ@vl6&%J%~$<DmQkgAI>aH^L39ZB9wRH;aQ}i&^#Z$x1TCQiro4Bp zQX>Q<_a9Jx(`(M<U+@;6<6neLhK_m<@RGKagCeJX5i4jPFriC1&=%r@lnXrYTqJ~Z z+^4V`I3(cDdD_+dKAV{j-{5Tqo|}l!fh(?aCT#PFj_5p!0Nnw6Kk@!&**fw@Hf5Mh z*V}64fVA+_6(p2^cYCl7WN1S}!`E02mJCnx+Z7PB?KeZ&xk^(o0%8Z%3-;seF-3vT zi)f5o8yGvvK?8OGSP=}xC+LU;93*8Qrf4Bfi4YpnDF;@Eqbp!ZaFnKhz?UR<!hNCY zpBsAp+$#Hr8(KeW2|vY3Ht*7!SHbbe2NqI}b>l6g%A&c+3DsYz%h#iL$ue>ONj8qB zJU;)4o@~Ej%O8kV`7mDkA8Z+Na!x6j^1!B^pu%~|!w4%5Cn}|W3vAf(ul2%J9-MT% z1Si<KLD(PK;*@S+e#$~dk;=AL5B4&d%WsD;uxcm=SA74$Z#umUQC4HqA9XbeZ>h?K zxTPeJigrptvaX=x=pU?rxWUF&VWTXp(=ps-(zmo#_()Y)-1&nUl)Dr(M{@elpN~@x zz=vJv{|}7#@9l5P%EBoH?{&f>?nk}cEM;~KzI4nYZm{|rtd9j&n6f_By0C&cd<xi1 zW!8P$i22zX==qr!>hs+HL%;g_z#T<W;hkfU)}P<ni~c$K%4e%`-6Vf@&%ILEf^H@m z6x!!euh-{^-?e^*0xd%8^P<)Z7>D$x2;44j?@CT6b^IVtSvJ}xK~#8Cj(w9=L;Y+g z`#mf~Gn}PW821v5=((4M5v3rrwKy#TxJkZdc*}v62ZI$yP;Tau?!e)o8kp<Frw3`n zucLf*mW~yiTgE^q;P}8hD0G7i9Y!p`5{7?oye5TRL6$P014D@y*zp3=jIdRxTd+s} zhXU>%T4I;Y0=Efohk#|{=?YGppyi-^h{#Dk7Wtm;TgfLFA659``?ImtGgYPMb%?Bg znqGy>Zg}v9(uSY<=kBEIb-?Z>uL=ftFQA``QniNs@9j6uYHc~mMJwC-gI}?vB-|=Q zg$teR6xcxd@L`MG<<dohyA&hV6-;!-!Wx_FZt#|DT;B7Pm%xcxv4SOo!jzKGV^Z~P zq-qg(2UJS4FWR?kCKXQ@fg8M!{Qi)P4clrz(II5%5R9vI{=RI16oZmwZ?V7c?en62 zN40ffOR-FR3(h+b@c28;s6>Zwh6CaTC>P$&UjqVPFs-G0VM#aQfG{trk+43L7Q%M~ zwKg}D1HAQIE_Pcw8uW3k6?$xKeS44uI;^o>07>C-&7(3tR7G>KKDu1l*A2aY2wva8 zV15WcO>Viqi2oiy?dMgBG(I|nj{fB|InDpz+i1UT`e%43SL-Pxmi=?XA1a0_LKUb2 zA<m2a{@go@@}bFp$CxEAC|)z$?=)eDQOk6T)z3NE+=n(GpvzZ(Pb|YYqUwDp$>-zK z@5U(n=sF>$i2i}gwvhBE5RB=a!DF&K)QGcrEV6lgJA{cxx1nKB&`_OH|4`9jH!itB zxu_vuOy#&<uuQZK0x*J822u<MUJ5$Ct`H)i#d|;y8RxI|il=;|3@mwAIe0iJ+`U@8 zN4V2s5lTe=@8w{!6cA7BpFyFEvKjJ6at-|Z5&?(#kv6tl9Ok^Fave^Vhv#1J)=%p& z{tN72Tu|Z@7-ARvetZy%{+ZqtNhb7h$%2P;2+B-NpOO%;^b=)I=@LV5Y6UUB3xTEp zX1mE6OaDRsl!*L`B?HrgdFz-~7M@Oy1^rq=vhC;)&Y0f>&~9?I4rxoj7hsX$!JA>F z-en==f3-aMBb6T1NCF*y?{XPG@ZZx9Zc@gE;q4ao=@!nWq4Nk#ELdG)GvlMbYwc5{ zy9}AE_V0N(%R~^5-;W1EWVbK^N<3eal5pV0!ZH6_JExrNj$ICbnsfY>cJ#Iu4jlBK z-@`(W;(f4#hAmS^Iml;Nc!HMLMYK>wtRP$i9}>2Z6eeg_?u@X1?twwi(*7V`(H%U$ zyMYhZxYmcHug4_mMza4g;*ZZr^6d(m+|Y$H;hlk>rS%cGOyRLjpNpQT6*nvBrcY$y z8+=K~&NkF}=dVZktZQy;A)bl<3I$L*3%9^O&M_BviKA&cBYXQukE(P6-#)j==b2N+ zN4={v@-JaS`mpd^F5NLP6q|uF?slE*<q8Zz%fT{@(=^`?^s!aANy4r7YM=ab<)lz* zZo~E4^uHZICQblOL9HkO3*WOp<-qWT=coKNAP9kjt6k?5jH?X5IiU$VtX?FhoAFV> zJ0PPjJ1g<ANuh|Ou?q267|X71&e0V>yCCF*A;g0u7vB1bmTbo9T|;zUmpE+QbFW)f zO!*$2i-&IC@&|wXsuBAoGr7)>o#OHbh_C`<TI=_qz;c1ltp)X#vwoVG@k@JsFBhwp z$1f#Opg{*@>PN#Lql--$ju&vNmP6jivf!lj89E<OES{X$mY0wksmkt`h(WLHrdR=i zhAe#hd>?(4@VTC;Q*&Koz2F_ffNjf0hcJO5G=UUtfXIgn+HpZSD*nBJ?N4W*o;ewG znr>SGg9!(^01}Yd2~3m&{Tk&<@5Of7iS=2*v_FP~{pkkCE67R<-_lMLX)*d|zk`M^ z;nFz0{o6LZLd%0C4wQl}3g;ZU1m7eq=^8RMO>{@-QV#0<;`+2Yq$Ct&FLx=*pT(I2 zc;nI+M-MmjUOfKz#_?HC6uA#)-R7syW{K=dJ@(_KQTRY!NxQ25MJJ@I%=HHisp|%z zeFlV^4Renx`BN6Ms_<kEb}Nb@okEvIBi{1Gda_{;<pPF+gE&4+7#(%f%{=rCf~uJ> z-u;#)`Ky<_281H4C~O-u)m9+hHscx`4B;#ti689qc+45Wo`p&IR`j%97P`<C`wjRW zVU%wW297qChi`ZAmVo*alQ%wMm^h^X14Mb>9c~?qVzTSg+YezKQk_`5bFeAHOTiGt zMt3}2{w{erFife#3aKwC2OAxNDBx#8c^JVy^p6`#XSNNFFHUK_zW1dix7&%!o*?%x zP_F%UrdjKwD{Xok)lFmn@N>pz3t2uKgYxyYXt!UEh+2aA-{jYGGWH1EUJu>XhiDmC zpJl86I_Zyvq7<cH6p1FUOVP<o+|m4L>zxq2+|+{JxL}3I@{|Kw?Cl^Tcu7zT4{cQw z{R-AS1Y9(ub=x8Rvi|8D5DFd@Wnjv%Ku+~Qhp+)DHt!CeQUEB>N-Y(+k!=~4O8BH~ zmBMDS4HHVh#7A}p3CF!lXVB3dpmdy3h1*7u5#r=33OGcmsI0@mRc{j%M}gcPE!ZV1 zLF;jbEI10D>*77uFY%zgWq>{?J30em1Ee9j-N}H<;>A`jLQxza@xr<<MCrhvxc4qu zlHv5~gud2?<Wuz&=MR>q78U&u1=?@^&U3ppm0%cN1cWRLN5$mq`~Z6-R#Ih1Qjap7 zb^1p+QM6OSQ(Q`*%pcZa`;^YCs6~w*;19ktQ%XV#ZMsWO3e837D7kRp2B!8LW(e+o zSVV?1RFFGw+08{Y`qGc~2R3Zz3QiG9G8`<Ff-c=bvOgcm;{XrAI0%o`1WpaFYl89i zE-N)R^vWT-*_Q?(8zyj0@c>q^WT`j-4>nUUR+fkDW#RF4gL9II4;0zjc3CQpFgL?i z^115j1-4-I;6H%)<ciMWU<X`(FW&7lx`PbU#C#76iWv+*jc$eH-9QpxVTd7BleSBT z1RrVB$Mhh7EY$L6&(kiiA<?1hsNX-*fhL>$`Jv}!T|=ZlI7r%`gx#JK)GPS1N56A= z*NL+uI$3EQE{(B2^W<ND?mK?_LrnJ<tXO0Ls{_LI4M_k8?Fvd5Ac!yK<Gei=?JpcQ z9>y(>icK8SwvZDpfwF7|#5(QrRdUKv$dw-N2(H0k<6{lnfE$Jk>f(FzKN!M*ritaC zB%2<NyCOCO?(^4W(~vKu_|p~an`Kx^-~;azavn`|3f3JwK4Ii}O&PZow8;tHLN6M; z*p!z=SqbPx?wy)YW9ny+$n-y<887bi$0RWe4~ZpV%4t_0#LNvsx|zzZeBMI%%Aam} z`^V>=9KK~iKTjV)S@~`x`!7ohlaRE}=0IoxjszzAAqEroPZ7eVt>m~XX5iUx5q~ZD z-gWPb$G(KO<Kx$xS#!K@JpZnp_b-j{Asb46UG5V3#6YyABT_2X{0NxaM}nVe2Dm@| zd@5AvqHrd{BgTm?W?yQkTEq{f$7^w@iZm(`0&<xO8zvbFzADB2DHrW)dXVFPIfZD; zkkH~;oOg(W12KfR0mxu4`_^&GqnNv5BVI5+*ufS?cgHbz+mZ|d@(ilcIr1B&0P>|u zy}}}FxIao~`=N33p0cKyx8Gr%;uOcRjs05YM7HFI=%BE*wUABYu0lL$7#Jp4${8Dm zA*Vf&Vw67Z!nhgBTwAg2yat9YrQl<gc9X&CA2)IJrP@l`|E~SpWycs>{&Ke$b}x>9 z=yEjPbN-UppD}K`LH<j8c}^KPNB`d!X0cN6?y}yp@CtC}vcDfN_R4rhP6p~|%h&jD z8?*4L^T!WHPyCF^cCT9U&8+ixVF`S=V$o(@f!-pg56*WvsB#ewndmzazx8uJ%BLLk zKZwYbE>(5~D8^n2x_q2>H;|ij2vI`p-8q}b4qS13HjmR((0K<9i|XgyA^9B87Gw?y zQ!oQM8VxKK2cW}&?!Y>P$7)BH6+{i5QpvJes2>t?n4CR9FdkC+Qk288!z}SC3!yrD zTqaGH^2Vv|gb^D)#{e<P$7#Jl$l$U@Atd;poABGV+<W#PINPr=KY#lDF!Tx+fnOU* z<?dB+x(c3w{kruYux+?Dq{5c!D?CD7VES<fe|xoowQn!yWIv}x7(lLG!W)nM+ozsC zcl+9_pn2VU-V5)P3h>M`v4TYeZ-l_(^72!jMgOH@d~V<+f85lyD~JV1FcSCIBwspa z?+!K&8!tqDPRe5DDXt$Eqj?3d#NRa`9S<oRjuo&A*fJ34P>}H`@-g9&!Crpf!sCj- z&0~#$p+MO1E)NF;?o>VRsv86xe?QGDN&<%kryUJ<II<yOV?a1~0fq#Y1pc6+)=?q@ z6{9m#CKh%|7~jrhx`jBpZ?2O6uqhkKirLOt$`}TYx;f!N5yJ@9p|cGM6OyUyqyw== za;#A|3)NBfC$^3ABM_^y&f9-D*j`>A=?}v3__P*Z)9ZQx5s#ID689V4upDz`R{#vV zqE~xof>&bS3kQVvs3#o#fzIHq6&2sS<?pw33UBFH=J@+q>wxPZsqnUZRxw3x`03J9 zKEGNjVM2KhfR_T@DirSwp5P%BF;bNv2_CePJ^<eEHePs2MTUg$oxe&MsPaNL+|Wz; zbOJ0q8PB51=P8B*e^v>;pnQ65!xf=`n>0`k3QEGehOp@(AlC(mtZbne)q9)Z1mxmJ zKeh^kuwjptg0CHF{9}}d+njb^u11gD?SanZ4jpv|%9(-eO!1uB!a<mrGStDUpxH}6 z_D(r?2ZbIg=WpP`aIe&MlMghY<#JY>!tE-bMf|09-XHUW_SyEg&oVxLHwf)BWQ#@a zrHz#MAu65E<xLnY*Py~zZnH6kDkJ99+X=DQ0S&U%1`Z3a;WxX1w~aVh!p7eXbP=!C zcAgI5IbVE%$p!h%G?$vN=4jz7^<T_JPr#%3p1v+__4@2PvM>=(p++H^;s`Kf=^ny` zCfGrf12}OnE}GHw#R-Ht<Q68hUo#!T6ZpW8j-W_sh`WD)n^}g0w@~{x@o7(caW{RJ zhYbtt5Z>kEF-EZMC6<W`&3}^ZK?+ABmmu|k3lB~(yc|3i<_IOT)sEyFN7j>DsfdfM zZP6gGGf3dn`>ldeIYsQ0voI7l>IuwH+&Ljn85Rc0!TT716j2gRIiSg#uNvCDZgA>R zl|>_OE7iBxkDFOLp4dOG67%Obv^ahgT6-?BzONU`A3va8n|<#jQx^yIjH{Hi8t&0? zRp!gADv8pj^4;m;RJ-EX9~iNqQz+IEbX<(5T+CzFVR1t5)bKuD<DqvbTJQty3q?E0 zie~+iS3lR{<7)%#z~vGye)*VPXL_aP&@Rm)o<WEVO4#bBE%)u|_wC191Q#8*&)r`@ zaGxxa=LFghxiEquc)*Z>06BRX@i6q4ic;{IA`+th-uvz%d%4NL@OB6dC83=c-=Ngm zq_<x(DD3D4942hCQ1nuu&gl!^++?}9!t@}EB$P_U{x&&nO88ZV`>`ZxEg(BCIHfyU z0$HKZ|6~c4NLu0wXZ2GKUeEV}au6Y|lHOSE&R_`F;Cx<hPZSr5E&87{VZL;^S&cu| z;q%%=iZ;J~*teqOr3dD=l5pO74GPN@21JYBz`Na!Hj~p>MoD0w%j_yhL?0i=ygR6Y z`W`s3+kSY!lk5HSgc0~F$$!h^sSEFrum~t*lmb4weXU^JpC9p5@Cu3mlHWC^QX{HN zAW2Q~*R?genmj`6n_iC;3oV)IPbuiPY@kpMEoSINrmqVQ*qkz&{PgkZ4zhgAGAQ6# z;qlm0%y-M+gLSc@eL94RlCWc7cuT@*aux*pjt#UA#fV-7T^5L4h{y*km_b6|3c@9g zIR=KSJLuOY;qjalPiD+QDi$*3CPBMNIcRW2V~cRvSAzd}7LB-8-V;r;gND-3jhgiQ z+BUkjiJe0Kh#AVq^k6dTqD9n&rr>yKXaOzyW`77z>DL;fN#>n3!KVx8grS$%XC>to zsK5u;2-{6A($er6>^N<q3eT;<YOuo&J!ILjKP94IcxZO~xp7z~wtG%(SePEpuu!c# zIFE!*0SuY<^G?T_?Dhmt9Pe?zXx<4(iSXJhu3+{<lK7qsfrOSAgk+bHM@v4u96WIo zFP}YN!wbkVkUt&5@EiXV13~+Ml}q45HhM)GzU7}oQjrBnkO?Be7We(%2`f5=kkK8? zm$F#SD}T<z&z5p9Wl+e16)YJJtO1Y#Va3s}EyN00L<||)rqaaO=zUFk7S0h78_dY3 z6yULNHRmbaL8ZL0c#9B31WFpIaOQ;t`0$N^aH4XDkl{=W+&ZEQxYW->^i5h8oW%0M z6WxqT*vii58*(#KB<E^`)9rD&?BY`walaFIB3t8dT`uvYsZ%$u6SZb<-a#3eC1G)< zD&59#Y?xAY#0$Uoo`WR-Bj{K%PFp}e1{!qK3fOU+PGO)cXebZMhKDmipllRJw`4K6 z#+@bdtIjF`thrR_@w>lR)&wNfWV_IulIOQrIITbTilNKh{zDJ&X)KG^;buMI4SdVi zpx?42U#Kah7?0;(Ewp<d>Ky~{Nrx3-f^fQnm#0+Bj5*WnoXSMrz`eIG;bP<j<V9to z@Cow76j5TSc=47{U#j7iTq-`^Vzw3@shI;L!qKQQT2Pr~Nya%F1h-2Q%%G)EMevrH za9bH*Bc5_#WaY<f(!f~uGEgJq*}H;yZz7$F<cSO_63ZWoVvRrV@Zr*-;kmKJ@tK8@ zjo7u5Za4KevU<x$J%kdFu}k+P_7>NS--8C%-?-e_W;JmQ?AYmWI5<=!EFVt=c+bu$ z1Kr92zGy=N_Fxlm;+p6b@cFv~Ii14UWq>z7`<)}=>)iH<8mb>{LREvrEg#cuZ9@|O zs-Hz;M=5Z;b^NhrXg5!Z?S%RqmL#W`?}iQmUU&pE@a`e|yZ1Pxk(7({MLgLt0O%YI zTZVoHg~uj^a^9hzcfF7~EEMSu#O~A~!|*zMoRdUiLP?)BL-}kc3;uDn&4P6WC0b2( z24G;G%X)$m@SfUX@Q*=c4AI`-QV`CGVRuUqw?#RaSTG(a@ojP(Pekg%(KIbdV9+E6 z=`87vW`?U-)DC(hQ%zG2<b3yEFk&$4*0@&?EB3<Y-un&%9sh|B6hr8~Yu<dEHNy|o z2ZSs+2urT54vd<>LMdX)k%I#|S_}*aK7=vPw0P0yeBlfNDY!}O3|_2prN9e(SeV!2 zv2Q?NX{JHd{$vy<;e?iu;h;r(+}74@kGgaSN<>e=g4iv#+t%Cf*dXLB$6hIm-yVO6 z*n#8(4he(?uf<{iNR#gE0bs-Y2LVC<kv^LlKeQqT+HBZO=#(kUy(j@&7K`d$MA}hS zUcr<VL~)B`=Nnvpsq^RhH$M}w;kmb<RY2UkQCd;$-$VHptcC;X-9ZLn!*Rs!xl6HP zP(y2L%ZzK$&>g%m;(GvJ-|4o4k2KP!E0{5^oDv|!1TYhy01?zXX$Q7=DMR}0ixTv_ zEdWCOl!NJ~`n*P~{EF<h0l_tr<nx6hF|2RV0DCM7Qj%~lvd~h$=ZJcytPqDW3-6GU zGZu{1OM+Q?p6y~nXTS$b0KdM`5p;Z9whDhMo8gViT7~n)4Pq^I=u?;<RRRUJ*W%}X zCx(1p#ONU3nHh`Wm4gRx1{vep4(Q;}ymt6R?+t+a73h&K@r~XAXls#W;h41)B>9W) zppdRTXz;1=co%1{tnsW9cquzWh&*DwndgW~@f-URijfN!_>EJThk_@#m;sq9KkpCu zA>S2PV%-5`C(Ot1yVB6VylwnI^S3vKCUP5H|JZ&mqie?w;2V=x*dd*4`H52S3bQ$m zbcVM!iCxO#uAZes*eC_(FQ?pVs@$lWxN7K4tIMO&vu=vJqI3zaZU&|@SNy;k#wx;l zOkx#QM9`3ARW;rFGD^V#rie!1isUzV0ubG5Ks@fyC=6^H4p#8C2%T)@9+bs%+(AG% zpAUSVWjGk<3LICQC<z@8V>g&Mb-21LN<#Bf|0v(+&Ta1Eb4iP=9wbwcq0W}p4%q(r zWjR1A)4T=C9|7Q{0kCH356QArEPr$W+8yM-x`G_s0-q$t2k{&?5aDE}gR`Ls^FB)& zfEu9tm|s7-gwC!&HUtMJ$bvC;u|SG^6}$C9-0=1%|Ni^aB3!BK6<n>{;s$=~2)g}% z4zb~4v|lD;u8T=ZzoA4YIZ+eFkj94IzJYk~mV?tBRADMtkv8In@3;ZGf`+c(eDnSY zo-~A|-u8Sx*3y3A+C(-1682^D`ThzvKM#o@?iA#H|2G8{mSh`~&s9HH@5U9&FpYCz zrJ!_@LX&r_Yz|!!2G^qqWpR>!gpzQE0sso<hTmg|IH#R-MH?8N01`T|#cXBZ?cdMC zk_ykS=3>+$Dcptooh<LhkXE8er%+>9;1mKy;}c?zDHI}Z3X*IK$eFDYjk#mLV+c)_ zf3)I7z7_-HGy4B31^LqrG(j+y;0XKfV@y&3U0;TL&%@D@^!8cGK=%c}hgX2%AOlFK z#0uCx<d`ttN5c)i+63~vt-(Pj#zuEABq_;mSgt>QJA!jyi<E=G)L`1m%}?S&x%fyi zEF_6=9<VL}aA5yKl5$Y5BOgxdzXpVU8>uSAl^P~DnMpD<R0qAEyH!}%_8`gvOuonb z)R-$|u>am+xNsp$qE<(zP-DSp7<KYkt!Q>R-s1DZth^Gm@bga6)cP=!IXM6;7+@zm z-yq@h5n_e|9Tvcb>;~2l5Mev6X#ZfF7wDWWNjWtZz1<T;^Cjb3lLv=`CY7FxqmCDL zw@^0w{k4fNfr#r0#($5vBXwkj8NT1te{~4yE(JWn=;fYUl%VZIzuC;C2n!;`Gc(iz z{J!^~^&Xgj$Oo=m1Q#q9rwcq6qcF2Oz`DT|%_%mK#{gj<&AqY|O#8<j%}Z+^Yg6b_ z-hzD&CiZ{t59tM*Vc#?=pFT?|X#YibU}e;px(gXhEH<Yk&<7<4bm-J0!ia$#Jhv;t zlI}pgy64AbJq3PXzU5uog!<W&Pa!10h$jWfi8-9lMXp`>c3g4(;}+wC7StNx2v4jW zgz>_*A;T$;;iWFWK{no7%wH2)!xd|68&78d_ThVK$C4odxB*GZ*eFOTz*NCi!^9e5 zg^)kozt%y@GkC?1T|jiY9w^c+K6mrGeB0uBchG6_HbcMU1Y?yW^-FWW?usO-CkWS} z&I|=!5`l7yQ|(_LECuO9KG1c8YMZ9~c?u!QOTmVGvCHZ|iBfR|l;|D7B}Z!Eed2h* zmO-Hjiy2Jj3W84^C<Uj6v~$Nl_aFB<RMT_H39$R?qCY-k{%D>V6Fel{C=AJRPCs|} z!XQM3)zh&<0&ehb6{vFVMSA~ocL?YvAD<vDm2(zq;`;RR?S>X@K=>wWkJ~>;&91lM z*j_%+^FFa8>te64<bO`$+rB*j%Amx=a2C$DACXw<H@bDr%qR<WlUoj|;^_=FaDs$o zqBS;7LE`7^4vv{uGE$u3iY5MnTga0{h`eIY7D2v<(`imUNdXo2E~3*OaXLyF@vXx4 zyTIdIq)qRWaiuM|shLZV$}gRqy~R#!;`mX8T)bsH(LM{s!TnAVoZw4Qte+Awq%3Sl zJDzyD=p5@3zXD1Kau}iK@5vr?F&Z);=!!vUiq-$o86eJS?%*l0@2H^96gZ^2ty~7^ z4}K^ygAUB#okopBY@M^Q#6b9RRI7@?Y7;1Nd3W#_u?aGxlh9bLJ9u9k?+!G?Rl9;p zgGAtrn$mdbn1+B=Q&f7%*)z{gq#btx!<rvz&2~?FAA`-cbq0gZ-FvEdd(7KhR16ZC z;`q=3F9--mWTM{7>ISaRiofTP0N2YdwgVeNw{*4zE7;1bL`iT85;qDJA%lmI0AA8r zMGRYry*&GuHj|h-mZdCgDG4uHUd&4Ty%XA7T0Vkx?uF;4BbdHGLMopIx0WzU^v+1L z6Kn7akP~kE;@M<tO+=!*L9-jm_#RM&$`@s^eB_KpI)NcIq<y$d9gsUxTh5@^XgR<x zpvnf}%P+{>AdCPHyc}%NBM8>WW#jwx22;`#VL*Lk%g&?=B1?BK1G{nIkT&Kf8fNhL zABNG(tQ<&pKs&W7#Fgcs(X)<42i%kQT{`GQ5$vFSOb^69*}@crgLDP76nRMY$}fAQ zq>*ha7<0eu2PNdy{S5Ml_vi(uic0{h-IdJnu?2Epi@lttXcHLonO2Osmz*yIQFbH> zD2ok>)Q)36fh$73Xahqw++ZRNh<pPhCrkkwHsXXD$^awF8%jg9?%>1?btBxqr2R8B z9GYD@IOF;K8$2;bzM(=d;!-AT2FwB;Y{y=Mcw8hAX?z6A1qYA<+$oNn#Hwc%r-}53 znAsYE=e9`JO+xu7o9Bnp*p)}U!cO76{D+DOr*#BboJo9>aIp=WFbf4_@GU|UNA>2e z=?)#f8iX_RAH31dgN^$m@)ODCPD>m~sz?Y5a}a7YeZPi<BFT+IwhPs#k;j9q(hhWj z2*oJ}RiMQ2VI<n0pMVUjh+d|USF+?hFIjt65zsm5pva&w{|GtKY&-@-7nXt|`wJ!J z_vjGZj$M2~R&zsuC*1SP%|ptxMOwk|NOHlY?ou3kVF~|qYM451@^DI<MUFm~iV3pE zs?G@u5}SrQe~}W9r6fR^_db(trQ(U{0nT5=$WK9OZPN5*QK4}TY*erkH{ztlEx``| zt)eW$A{|1)4LwaM2NNcu*s}S^yP^$qVU%M9RlcA@0@#I)^7Id;5OitLT-%&;u9vcf zYE<x07+}hyQI1qaa<rvhK+EK7i5%W1wK<mu+k8yq6Cjl;?P^ptJD`{@#D2hH9S$XN zd8TS~2Uz(!@1RO3OLmFl6Do)j-NC9-e430U3&R363r#R;6)VsS#k&NdCpzD4T&%?B zrYDw*bP#^SpLhe33+LcS3kt;Lu!3(`^TTsYcYw5$onWUxYGMH1BX(hAyYtRiN+9fK zhfY3H5r4}UI~brHy<~(*f0Pxl;VdqEcuq&K>W?vEDh2`jv+)aN{M~zY_QKyS?;ale z1HC;;IDf%Y*sh^2o|xssEZZyv(6J5rpm31Fq<(oBl#hVfU5w&IJ?~QQLC-6=)6EVO z+7i|sK>nT^8)&k=+@Is0Kixu18d$_9uT-b~t`saMbOf+8(Jg|X^2t)LWI!lFI^LpE zOtD;Sg2`Daz;MtFy|HPNs~NGC%T;IqXxC3Yp;cq22zjGB*eC~NDOZs+elUYm3L5(m zE`hRO2Q$invl5edpfm=#0zkOJTFb}yV2NG5KDIDn{Parr)deA{Zvn<U-yk%iTSLl0 zl|H0@G7!jEZkL7!s0AT10twtUroa&J?nIf`BJg*&gdU3__qd#5eqg>^HZX9gSWvK@ zp#VO9#05@AkWLvej)A%O*q^tTiDT&XZu6~H(EY38hb-9qSjX_*GVJ2wtz`<~v~pj} z%pI6zPH@RLBFpm!Lj9D5C+J03<87e81CD_{P<J8NW>Jew)|2r$^5egdHP+}5yjv*J zT5yI*7`90`{u-Q}XGMdvr6Ogn7D}uiD$~}Qm?c7=aJ*8NQ;qBt)2n=?Xf5fWk;QV( zT};`_C3Xcv+=&_<IDjjQ!kJq9DFZ{HrYQ;eAjz<RQ_9T(SyHZW-fDWlt>cGy;BrQt zK#Ndb!+`UNiJ{8$pw>v!FT5+GX)TpYCn+#p?0jaxggSxv4`WLrCMq7Hv8LDrvv*Cd z1iwrWptpVQVHt5kL}}jMY_#w_8N>=wjCJpX&h&9R;stm9fd`YxGw4Sf146>TS?7D6 zs2dwKWdU0(ST&d#U?v5?K`9KMCT1`9<j{9i|CK#-!u1=M?di~<v?3J646`?MkLSKz z!!xuk`42jB-&{Mre~Xlz$*i`GNj8*Ou!3tyfL#ZvM%_kvGJ)(gugkvV3FjgWRMfx( zWf}_O@c5;g!pO#a7T<}f)U{lcCxHl8=vV_UbKoqGkM2DHNh=R%Au#`js-}n?yQep% z4-ct2OW6(@Hwz7tM*b(=^$L$eg<c<)w3j-0_74RK!-SdbY+(ld#ZZ<p|0`L-;^2w# zV}2ro<_$c26cE8=ZZr&uEJWKPfSQ=K6&0OAPM2u+`R(a1rmJUISl}ICK<FvlZ2H79 z(T{z`X(ron`4+*BeV6YOa`H>;u|F)}jNQtBZXb`;PeZ7H>8#H?)wsD{6tj;Q5IwuM zUFE=8iH;LY?+~7^8+zyvYWQx|9w8+K7aWZ@k1oRtahJ_w{)3~Gr5xPcgD2Jv)1T&f z29yW*jXd9O$ZmMnK`|=IE=&OvRx~#b8>;^anxMBWH~0@Hcw#cmL)t5>XflH;q5d7y z+jM((2<jgSz`)$cg%M8j-qIZ`Np$SYbj}x+=o+Ss4tnBbcQ6w99{`|uZc_s>Ik;9* z^UiU;{8JlE53(qon+y!?Qx?=bu}W|6cAiUUh(mtZ#}{-0sPciLQ5ZEO9<`t()SF+B zs`z^}NgtyHUm_c7i6W-TP6wpq267mKNZ#S$^)}?)-LZkgNbb_>vrE|M3~IQh9nHdf zb~dMqEn7$8j0qp5OF-VpdsjGby93>%o%v+i<Gw?ev|S_8y{H{(1Kszk5y25={@=N% z>J;<QY-egD?28vX>pVDK!Gt2b&?=&`a!Ht;d$oYKEkTu+`M>MHpxy;THV9QCnOCTt ztB{QyPHf?9bf%5>*Qs0zg8sc%n3ok9VVp>4lvbPGCrd#UD&mUFM9)DOP&g;i>|<*Q zx5dXTIlL5zY`PGT$wA~f!$SUv^~FZK`xr4KxF(^0x`QPfg*%Jo3G2NjM8Pil`!9Yl zJwTj9<tJ(h<TaigwtntyCDahEnT$2XqYjfcst$=3$_^XayH;gd?ZRhE>*M3!qS`Y? z=m=DobqVwvZrCimM8VJ+sP3Qz7O*x-K?zyoV(F;%Lkvh54lG#BfPmrD8Ll9}Rq~F( zXpAQ&=DZdI8zrA0Qqa&kX24ZK+~Mk@D>Jc+j%f(-7-EHm)n3Ia&vS|jE_>cb$Y4(D zjy9v4<~D(@HL_`VV#Tn7DVA~9^IXJ)rD7MsG6#i5UIC~>PETy%UPR|~&so{=s0Cd? zwV!rs?4*xjyAv%vDg~iw5Fpx#_fpVMoVRobLKN&p+|jDspElDQk+$F#>-)n}j-z0k z1(3G6Xgt4;uN8F5I0Y`OQYyqL%`KLh-uSiLQ$ue?g1SZ_mI79+5^aAZw8&Wu<0FI` z@%LA#`c$&h7D>&->oDTtOSk|p=+G^KQ)p&Wi<;qcG6<#}JW#I42dGHySFj;PTDmb1 z3F97+G$LVmS-CI_;rx(|znEShI6*{rP*4gw9s?VPYG#0kn2^lN-MT}F<h&%%{${w7 zgl}6iBbIzPSRe914|}<UUCv20oYJ0Kw{13J4fmSWP^={^`tnaLVqi5LH+U{NBdWLA zWPyM0`hz0qMTuRY!G`<h5YQ`?@<tMnuZ7~0?ZW#*n7h=lzu8$PtP+3=y=C1l*(d_< zi~cx~v;*eoGkQ1X9-QxC4~KHVIq5_!xi@<eUuCsJs-7-p_unGksTI&i)BiaKHsG+K zNR|BSJuri@WDn?s!6`1`<&OMtceDynkGU!rsi{jjSRWf8$v2zpGGKio7qJ66oL&wL zi%k+uoTU^L$FiTW+S{RRN~*%c{<xt-NT4oGDvq*ohTSLiz<}^KaV&uH#u>xGrd`q! zrL%($!y!cbfeW>zVB!Ej3FHJ06_Hd}jK}ys?ejKP%IHV<UX1Qx3tk0{?mIrhje1WJ zHM<(bE;LAHT^TSy+9#2x18`a_(i)l|+$1jrRSgnlzT@bY0Ee71kY%AbK6-?SQs9=z zTp~&&a}}cl;*O_8U=>kMR{(^fV!U5Pt`GI&rb3=&V7fKIW5->N{?I+2(g2!-t%Gxq z5^9lc^hkBHM5QH;;2q=?-ND3vXjVvidmt?_NhiRVw(&cSZERIKZ&AvOkAA8D5dlKJ z!A9B|4GboK*oYRxKdvAzIJ2R-*OHV1YLyVoxy3y%Ez#)X=9Y%HrjPUL8EcX19}`7F zYXPBugZbGSv@Thg`%xdrP+sGsU0Q+_uoP?#2+7S3j$H><5_cKU6-4pPrL`e%SCD2< zn{$r9k;16q3jGT41N3*KYMH}E5}`u-=$Dw%n0)%W$^o_tkKM3E6WDU_Ur#wmk*wyP z1yyX5y=PPXV|F0(Tn{|arwsIuQBlDu_C;ci?%<*t$uK}jvDPc0J*<!_fS3h7o7+XL zC<9DxZ!MP6#}&;-_Wl8Ng(||Y^%{cq)w~=S&|Opb_W7`o#0sfPIneH)11mVUg@*m; z5Gy2IL`#r@FR7zEJhvjIinE4#s5Zd~ME$&NIbs63nT1Hpk}!WRI^*n89yF+gDdcW7 z-qCZ+;N2%N0nd_e<?+Oo_ni?gfqo^nSaG{~3L58*+?8{Z3vcLX{9lS9y;0rppheJv zTPedc_1yeVSCAYNprYAIKz2S7x0QiO=8MGe_{4BZ!bVBxh$O=*ra*kl3v+<+0qxi0 zR)fw((p5vb%^=QemfTt6)R;3Mc(z#$CQyN8=P0gUiC(SAq&86slFWCW7ishGxv#V& z)~DmPGywwm+>#?s4oy4?Cdz==BsqLIPb2VLW{8!HLy4Sn)pr#?!zrcUxT2Z9z%YYy z-;e$CCLIEBgqeM_0Ca0fIarbn&(y{$h6kL$vhOsW2wtI|a{bsSC($u+)1WwlvzI^l z@0YX2xI?nt;M;nC^DS=x6<h^TMGH4SOU7|If3fB~ku#dFoF;ml*pP6yp*G?vMqQKx zTU`Pjo60Ex>aeXi;^hfO;^kMc;>cghW|RQ(lO`mNyZD0f;qm75V8@>mNB3=H3<v4z z7ElTjYQ(;Y37Pid#;HDK;Pku9;Q`5XL+2Hy2lW%6Fg_Zl<(~GZCLiCe2E!0H7v1;G zyTZD2pqTs6kYmqdrJzTaisJ?=_UJ?1jHb|yxM=L`3h0Jj#k;UbREjbZrEI{~<Oxb5 zNZ12tD7h%5-t-7qo7z2la1S^gK(IT%fOp;%$kvkE1sEPcdeg%fwx*vOJ5avCjuL@# zV1RF7Zx1_#)+C2XMi(a_f0vBDk<_r~^(hBSq>NQ===DeW2+!HjR|;>l*sRH5;I2MH zI0vzGd@f+p^Ul$;?utR6M}AeRxag(}o1efHBm64z@VY0#S`F!-8Ugh?o`?-;Ym<XP z3FosVmdTVm@_QFC1yGCvBUm{086t&tx&&?zqC3bkL~N}m-FFveC!SFfmX!oXk|mhp z9TgsykCT=Z&f=b8deB7DSc0Mm%M!cLDt)(bU%d!{O#pw08ag%&co$>&SlAWxyGQdz z4;NeMe=rZXpLX#!EYcm!AR>DzdlFV+3mX%|9@PsKx6j=r>Z3(hkan<FJrbp=<FVBS z7Y*|6@6h3rziYA%?tt9)5KGS;U4WY;GQ73NhQYPyT=kAESYi(<w3{U+85sI~>OIKS zH;zk2{VCztV&3Z;hU5c<wdKo}%<;c0v03Y%aOfBete!BA+5J+fde|Ox9E-97Y0``Y zcU)gm3aYzG8c|`O@y*`k7_A7DqY1I{;T251<1@P%o~WlpG*dvI@<79bExZD@7QRTF zfj?q{5L<;Q50r}YeTTA`rB0CGL`ifCz0=7cvVP>ee&=S#ofp~z>yWm@)>SD1U7$rA z12^fd^xYb=^V6Glk&*zuQpelBaMIt_!sO$)+ffVYrhoX~>bfmVJTWP8%tz9?6OWaB zI0O?=et~oa1~||^2|vAMxbtY-lo-Sp4M5tG!Rik~`TW40E<pLgNd|@GYG)&q&M9_C zv1yE)6-{FkJ7uUO9*1}iH@ct{RMEW&Uck|%i$kaJ3hGC!ki_I5$AB=K*biiZ7~yS5 zkKqGpj2e-TzPile_$!0KM-9O=7Y$XQSQ)pI%)FKI^S#YHjt!7)NGNQ#km9focZM*o z%OUykPGF3XGkTCh37=&y5;sZ$@rBbV9q@od!H~Os6HtM}!U}Q2%06j4A#fUkF{ao& zQa1f=8a%kvoLLM~EZ8*7<X%!X6Q{5q6oJsM(va;<cw$;ma!(hN;u_+@ADRK!ZR5ON zyAb*?+LakZ0*u*Ub|iG!u0QUQg_db(wuEc|;sNysRfmHX+l7*)E0`<=1QhUMO-49~ zlab3S;5H(;iBEw1l6}DK<lu5~$|j-8f-%GNpeNZhHsO%ZkW9A{+3@EhofrobauFQ9 z(a(3%Rskip9oWIIpoRV&5Qboka%vq$96uKw$?Xg~S_`spJIu`J$2RqcX2A|pfDy)U z$g*LqSH5$Qk-1&q4Nf)-XFy0Ppu${2PtAk|C?Cwv4z!WuX#hLa(U7*rcz4fYMZUA! zBsIxf(aykaldIUOvt5|NSIWUt+ARQaK#srG6+Tc@lAX2y2`mX!G)^tL1d1DqNg@qX zD%di?p40eR>CRidj1#N)sM^Je`wlMgwnQR41^6G*9oV5f#d^DkgVCuxlWMn+X&nf} z_@KrRYPXL$76p$ppEP!vP+}FKvJVMah{%I!Yc04*1xv+&dyJREpkdiUF^QXLV=}wk zxV<cF;TtFmQ9cecC$duDXzvvGi@yIO_y&K*yH`f%<ZGrgE&7NJlMf8-CbDDC@x<1# ziI741dsjJU@$O#I>(`(_zZl9vx+-A75e$ZKPG~|sst!tsZL;_$%`G|bJB9=gQ~;wW zfwFj|D<sA^wA++vqa|f}d#7KS1*RGFam)?|<cnA$9+mTg1=0q%uw)b2)HXSZKk9J8 zL9m#IIIMS+ihaR}MuA=%XC}!CqKjCn2_a#jBosGFIJ^Q=>XzHfpV+mEa<5@wD5IMw z6>be}ehfs0u!FG1t413*&pMy308DL=xtwiz=o8)1&@<;Wp+LLdxKM)tWWs5PbTF#U zP>y{eF@xkAhsSsmLZ!-36YU<{lcHgAUBrbQVs@U&U)_N{j2O7&F+{;QsdQ!^kKTP& zU!b`i1<QfQF0J^F4tu#au~tt(OMKs@x`Kn!lczPth9S`)u}P+L5l4jSM&6OkAn6R= z6;PQt3}A3O@zNrF&UYADT8$Yc!ShC)me|EBb%z2kK`aNl5$&hxt@MQ7Neb^Zw^uOZ zrBf<A)CP`5bV)v?fF)p1w-om37RCrj(fv?nbPg~|d_02fT=ooL(O9+>;KLe`zv5lN zppYSp+F{6=K{-lEHjzE@j4htbXb(nL1gbT+gs+Ss`#ABIOU5bkMo%6G;jN{xCd|qZ z!q<?8ZJrMk3z2EwvG#QLPq;l9+)>K%H1@OmQQyN;3i6gxAUcC%jhsJj>HUKt{AqeH z1L9cVp17T~@T<$XA`h@kOrIO}5_E5d7nvWvER%YMzL@KW26XR=#+i}|w1u1;CE*FT z#D-?LN2Gg$BD2yZZHdx3RPkYYaETYXxM+0g?~`m7B91APiNg$b&P{9B)3zaVO0tWF z5k}(U<D>)a3aAa;)592TH#nSRds^3NOM*vPhLHu|#FZ61*rP+>1_6*ELKPnSV!>Zl zs}pVD9|1o&9YGh6VM`!m)vkd3#)=K(f<@9C0yxZ%=;3IZ=*b@ZqzGx*E{zVNLK9_l z0cEkUO|UzgNpZ6Hr|u6KnVW^Jnx-zM-8-B$T9eM8$!5WpMDJ@yG{d-C-Rfm@0|V;J z9oEsOH0<+ue}L`@pI8{Gt?B%Tle0(~s|cAJ3=*r#8_8I<W;h)3DBYT|dGYDp<5RPY z^ILF5iVTNf2K(0|4xlQX2R3iC`UHpE@d9;LH!CFakm$HVr5RZc3FTmm@j(**lc@v3 z5cp8(iZi@a>C=7rp=@dprZX4bXXWJ}GqHXP!3h%vIS5WMy2Mdkh6Ew7q!yy7y&Z!* zUa1<#X6py49FilTrc#6~bRceZFix|h@oV57%^etlfAaz_X@;{posrMSw|iV1JF;+* z80tF1b&(Nm-W71WFu0LS5zNB4hMg|n5;vDIL?kCGJa$tqIAB&g&g;>z?%hJ!tmWgK zx|n8CW7C*(NE!#o$hpaY&}=xs?$j6&XXy+*=q9<k;!(spIt7dB?G&n6NLdSV%!*g| zn)om<r6e@jF0|Y62o|YNtQnTr9^u}+mpH|ZuxRig&&BxEEZGO?Gs4dc>2s-)6O<=K zg|rq(LOejHFei3DBXpBzkC8=Z>i}jBy}kEvK+2EQ6>cpJ+>@3=S84r8lM>KBW(WOK z4s^@Vd{-z=`@?I-x!m6uwHv|3FoP`iYe^=L0p|q&0X@)ABr~d)fh`=lZ2)p=+$~xl zb)PD3auYIHPqfmA6Wy1yMIN`LJWgm5f^{|u9n(aMAF%SrJ~?wEN%!<3OlG(!&MY_r z!xi#{9Xzg&^m@^x48$se!$K?^n{$<(m>#C^ldSQvd(f2oPnWzE^4m73@^mOIvYMH= zyvqoUaW=5(90w4jtg_K*a>FGqcOg@X94pc5VOh6O4Qv1knm+04IYh|U_8`S6KYdGg z_2Lr~MGEu710PNd38eZee7FNTd`Y%};I%;Wyd;P(0q)tpOdPT4e`4LA1=NSF=|H!Q zX4rZY@*anlg8m^Pq)$1h5%g4<3fnGb;&W#<x1XDGG(Nf}<sKC63dWt~3=2NH)R!H! zoV*ta8@A=XN{>?z`7G89?~~0Tq2ePflV=3K!fdC7U}KL+t90UIgkl>qxKRp<zmDc6 z(XlW*ak~TE0BXiSoclm1Bk_VYov8fS6p;WVR2vG8m0A%G)hye{7VzP+%xC){mk=rm zAwlp*lmHtdNKzQwNX`%KnV7vDzVjN5?!#2jkfsMMz?fHuXlxo6y2Z}uLktJQNE-w) z%~if3;&N|MV4_GRU5ezNc-9*o!ZZ~0Tob;t(2^iG`kFq<#C$Cbp71;oe37`~0G?DN z`Bay#fC8R~I01;@sNRtHlX)#0g9=>Li>!ZI@gmZJD(<$FG$!c|-2X&v*3;$T9xP?j zkP143u2zj|uU@1J7~;=e#X0Q@AG&qPlt?yIx@{HzT;k2>oaZ0)?|Nd0Msk!`XKH+# z+pbr!R3q2E6Dz2~OG3iUrt-nA+$h>GHtXVjXdq09*!H7nMt3k6#FzmzY+wZ|G7~^V zemt#la?0q2L3Sw(p69%!E1;kuL&)Gj!wwe(ezU`hLuyJFM}<WvmLb4`m^GgRi4dqn zFS{jTq0RweOD59@qlYBuaO>`Qa<1CfDmEiL`Bb)Uz>2LD5+;Y~LT!UWrl>h#21g%< z_nEvi&bbM3eMwU@y~!&vAx{xAZvqbKvyDtKbu=Tjn16XBHw1Jzv=s2p-=z%bpBa(T zWU~<YXV2Y!ug^NK#5Yev(Os8crsD=rBsKOZ1r5Qj1xxpo#Y#D2SfFNsrUzaM#MHns z1C8_>f*Vwa5ue~2%^(#|`xW0F<-E<y^3ct`5%pzerz1UH8=ShTYUUl@s2c;pDnd}U zckl7MCHLf}c{P5G4ND51_BMppNj&y#5&8<QC)W(;G`G01pHrQp9MD<)3<v`>#etK2 z&<Lz92ieQ@W;L^m!XWWDrP&|kE%lH`a|JPG{Qc@*z+ocJA$^=#x5%PVODc)V5!?LS zh6hv98V5!;^t9F9`uD}<lE7qL@2@jTgi0K$(Ue^%^%+$xUZ~N)LgeKY7y^nO)h$af zBviPscr;3t{RRY8X1_q7p@y>}Nt4z3Ro4ubDe;fl3CNF&2rq0vF@h~+03NDvC1EH2 z1ffSuL6vnLgbV|WU1xJoUo<}Ip?pWQVRRwnk!tv|xjUL=(>x)btTHIfxHo%eumt^+ zP*>{;#7miE;t5b;nEu)odIe$Yv&Lp6yxh?xc^2ykuT+|-P@y@q<gOT1%hT4ZGl1{f z20YeHb?1eg2I;-Wm3`)7njcn>ygIfC9l438D;N==_Wt0G8~?OH;&FWOh@6lE--tJI zlaOT_NjxE|TzblilH>yfLvvfema74XfV(26k61%Etyw3G_H(;1PPbn>*H>bMfisn> zP!lmkC*)%QQa)c_Fm>LDq#DOcIth+A#pEpu`q{nVu~GmmA(Nco{te*nxgMeYL~_y! zbt0Dp64(4(c%!!x|Gw!5^`Zl#rY~k`ffp3V3YIW_hR6hTXecr~wCf?Zgk8Y8apfU8 zcHsWzCG0FAKQ~^%ui(}cokCsV#F7Z=F%h;P0@AmP<-;pb(ZUcr<@~`F7QIrdY#4he z57A!ORta!o7Sl7RIG>yA$ZexUfiPfxS0^{wNiXhm@c7Z+427eOwCy+i?X5u|bxuAq zuOBBJaMdtCEjl;#5?JHRG4`MD8Nd?W+bFTc0R}TiIVLhV&;V^DQyj^AJY50HfDQ=k z5H@7dZ&^5~C&m}zlRML@vEhDO<mk6RDyXFLlF(cgeZKE36S>dghRxI2w;MzlZ`N$2 zSyRmK!FU*F!D>f)iE~r=*t?W4fsp=%mJN@!2gC5h)I*Pun_vTKdkRlOzxg}ySUi#_ zVLV~$=nNLbQs*?MSS*4P{P?8lGJ!7k0xc{E{Bv{%$J@}t8K2u|Xni(qN&{}eXm-OY zrc^lbKsSxJCNASdX2$m*i*@%uA&%I@M771H;G6R41j3;<>|FqaDs)7Y2-FQz=RpL- z1X-XNfKoLdzQ+GFdvr)1*fPXa#a^4osfoUAlqqAvE0rf)-<>?%4#~O#q+}UZP;krv zfDfGHLq#g+3b>ifr&JhLFhDvOGQ#x{{G_peGn^+k4rdLasVxvi`8mnqu6W+=DN^d} zAjA`RW0Cf|%Aw;fqs#ZTYb*Jj-z(n~L<bb|jCi3*@)L=L=vB^u;0(hlu1#5rla_)e zJJRebtVbQ+&Te!yaXlXQLco0r#*cE1AD2P<>Y+z+;}7u04oa(UQd*d;m=_tf#8VcE zT^=K{6KP~z0YKCOfq%_$<lR(gN*U;vtw2~3Qp3L(b-_DaaXitxMY3Yr6sH<QoDbS- zHwqV)WOv;t=kJWxDxY^kAM=ANR-q))@@4=-!los0*D)BTP~>;5GNypheQ^$2Xq%AD zYQCTgOa@O}0M^J995=Maj@XSi6W*PI)P<5nAjYnMSOH5wi5L0(yIuer&KhY8w81*{ z0;Hx+V4?n8!$e;w6_rvx;sGfp2=AaFp`iQ9EF!P=jb!=&4lVT5bYSF$a&7TtTaZ&H zy0(gabm^Z&b}WiO88~f-TfHP0LF_K#$|}sLE=4NKpwLkYiu0<U5G)Kl)_K(<1|@&^ z1^L51Oe_VULtNijV)f8$TOA$-*rOtH=W$k{cLiU?(2&mHTOKOwNj2+AjW`@?G^7}Q zim%fEU?UdO!zF5$VS!gBtr-{agKz+&(Cjhr03J9Epq<kplylIeLuj&Cbm*f;MZ3aR zI7H%C@kMj8@|YV=@!B65WBXka=L#wo+l^JcJ9u2yIIEbbR`*i!RCaevA0I~9Mh0u5 zo5YN8tFlDSh-E<Q@q+sdaMIQWn*I?EG`)tj@stUi;>n=_8_a`AHUJJ25e;LA@F_*c z^8lJbMFjnp=EMPHTd|U;Ax0Q7E$%I*0GB!Vkv^*MMqRT++XGK)HYmA5V&#BCh7l~E zIMUh4)d6kjV4z+PO*|bM<c(Bgo>E|2#_SB`E<=I(A2#<p1W&0-^1=w*(ecLtH{>lT z_Qiko$L{X)4?b{{!C-%|f+D4$@rT$?j}871_^^Gth8hC{7H#H#l9mLo>~Lo7aP@6V zKF1hS3Wf!q;*Jt{1PfU-OB5??d1mXwH)ynB?-3C0W{Hu!?k20<j73j5n7D>aa}Bd0 zMI}6TX-Ed#l<A{Ikju`bEHbC6NpP#t7_Ahn(0zIKH_E}`6~M+PoFtmm+7&nW4m7Y+ z&@epF-9X)e$)RB(-*l;nZ|=YhI^)}>pKM!0bo?L^72aQ?ub@KE1c0fqV|x-TN<kI> zwG@K@6%w<>$@Oq~v>&K1k2m_<O$-_l!D(aC%vmgA=>j#4Q~gB7?2==y13~+25a!1! zwv#c1{A$Myj5T%McJBy=2$Pra4hsF*iWsP-s267|3Dd~lAz#blVZi(yDur5>E?^0M zpfF;W?`hf<6qy+E$8W5Ca?YA`4$UchPY@3P+Opvl(<NioW%-D;CvsaKJ0n;G(QUsA zV0oD)uFsOO3syk9(F0o4<1hu@2&LwG6#VvaJYfp`3`@X-e)OfqU?SaU7m3jPPu2*} zWkQC#dW0Jh@t}*)sU{$zhfb2QNM5lFYB;GCUBW336D0uyLr>@mItN2s0|VlH&u6N# znM670!D@yY0$NB$yi*?C5f(j@s3HJ1kO*ZrbR{RO515dnCvhnS%LAOC&!_?wk$uyM zwPmvg#)QbY$&-xD6npr%J?<bc45%mrGV@3$5Z_nHwWy-V<d$(l#9$%E1_O-ybi2pF zCa)mNCXyXO4Hk1n@Wf(9LJPdWz&g(VOIU_On1(tSROt+OSPKV)Cf<hSBLou9^6}e} z5LQSfQW}#4f{{Ys;N91Gp~(#l-NCU4w(~=${TACsk9?qC+l<Y^O!7>evRGmhIkdlL zmyp8KVI<^;kg40zZYGTQ+6izi!47K5u;i@gO2gF^AuJmlC3w4=ZAX!}R+HB%Q-fi> zp6_^aMlHKNeXAlTPdL>Ri!+X84eO_lZ=me4Beb;>CrBcjrVN&)pkvygh+$y5AO~^~ zD@eY6U|D$l<gO}>f5mjc{pZFB#@ET1nuDbv2eXp$i8+EK$$sAJ45yOmM5rg6n#PqX zcgre@*u6~gc%Tu)BH=*jiBvcj0~$hqyv0!gC;bf~u~wl91yM9h74GsLy3WO75r|}A z!CF5y0<HuQ9kDMEhfs|gtOooq>$P&Qv(oMbW1pXM)i|N|Pf`}B5S4P9A>{y+dOq3! zIe|9x3nRUE2gP|vZijR^tfT)A|C1u^!Z)>X-M$5*x%D2U_mA6zVNK=MCEyENDUjSZ z*GD$@W(IqiTZAFO&k4&!268lUQCBOe#x;b*j*<FJeNKx+!g#TJU<dv13YvYv+Xqq@ zw;lU4O$-ng@UDy+G{%<;YC`}3%Tq7Lee}=Qc#0E%2$qGx6&|$IBs1~O&wn&lj46J~ z!KT8V!={XZK7_x<DLgs$8I#_RJB;E{2F{r8E>6C_)Lll7U52kbwRD)*!{Y_W{T`7k z<HLfrW0ze!$%SAZK4G;$-cgb86%vv&auT2s%s0F0xgxuN`Ib*vFlrglQZR@;>b9|Z z8xb9Lkq+VOD&R^Y0CHzoC}M|1cUEEr=;MeR^aANk9dR!{!$OTDdN(|%lDneMB<lvD zTvJ1=AS8)_<_Bymdc#&>;+Da?9pma!cU59A57j{-i3J<`6E{5|=|H(kBf@D20VUWY z<pnSI&16RI(R17qPNWjdRvBDVcW?@NMJZ@mhQ#6^f_2oz@BHDBf`Otn-y}R<7pR_U z02D}S;=Ort+CZrw%ox2rU_)9p&KWg?J&N}wE7((m(8pj?!=V7}1NVSa$k~ofE?EGy zpg>2vP+}+Q&PM4|CZ<4$=b6BncEb4K3YOSzhjgH#!!pcbhqUNdkOf3YLOd4J1D1-G zA#Ts&7JV?K8NR4)XqGQGquY3>eF(~vr9fHARi+G$G5F#J^*f;#@fe=r7Va?)aA-Y8 zpS!Q+!-A>sDr3t>u*QyPp$UGFKaOZou%0_%p$o=1Wv1EjYs?b3W4FovdEY{#sDi|k zyE_}RZ?TUMJh%bE@SFbQs|Ss6cVz?;Ks{7pM=5YO;Ken>j_gcLXs`G@)$qVnuGirk z6gXp7_^s6?J}3!C9=DIK8c9qTy<tG$s-bthb=A=bJGJwpvljaEuySE%htMDgglodU z(H~?_VVIo6AQ$8Vos=5<Z#$t3Y^PS)U_gR`8a^+xYBav|kj_Bb3YBO1GI5Ik<HA;j z&F;XjB_@$>5}&Xeb5oVbSbRKFg-Po!W<czcmjgN+S*S$l5{i_93on?T&Op_QTPR3g z3ifCFC{sjBpd}`O<m)H#q_Hblw_1oP+gVdxFc3I=NWtA^3rg?+0i|>faI?e_^dlEp zhR^wPZyd9%7_wjo_3~Pda$pWm&-=8GGG@bAv_afnhL7^0PE3~|isdr!lc^I%_V`#k z_B;GiGhO+aEVclpvZj_K+ME@B9&k(xkI*EQzrhNLX}A@Df3JcCP!<hxm_vrcxl50| zWnhUl95x0(w;ij9!HVC5=ma<s42Om0e~Qi;A@f7Ik2Q7}BfApI7!K~1u|qYqdgw4# zi4CO0!w?pDB4us`hx$u&y2^u=0%pz3;mR?qrCnf<0jIPA?(~ilP@+3{oO_gaq_bz~ z5Zpoyisx$9d)9SNO0?4LDk2`JcQEqTyf_AiC-6nV7(F0u2urzrq{A^JJfU)yc6^GX zZ%$#iz{pTShv3jYK|sLBQYto$II+HHq)Y4gxlzK3XW|sZ@d<QQ;iW2`?}P?ZL#zS1 zYL0z5yCozbc|^+Ek<)~+2KWj7hXtkc5;?`*k*Pv+bcX*HD+vxbL}EvcX`-gc)Fk#; zVRy+4jgz8PbL8+g9J)S*3yQ&831OAv+(ysl&Utj#%pd+^7IxW;^+d<Iq7#IfST%56 z$u4_<w9r$yKeN@~U}+Mq795HpZV4n{J8_{4HK4`!nWRG61{Y(`4_2^*eONwulNH%j zT{rgV4hB~L9jNFw4YsKmVRr()!Q&(YcQXQIF}IJRxxxtyMns#Gqe*koC21yIAjAEK z9bpf4qHCJ`=*#5L?)wV=K@8wj?rj|qRL4{TZ`71V+9>;0Vfs$&u`l$v*HjqW(IfO| z(ZNQ9hRKs*@sKcu_D2cON4;qjGkcYL+|}uQ3p3Z+h^nhIk}7g>cULnj3NZuv6Z-cp ziFc<4K_gQl7%Y~I85!|wM4X4)0!v~egTS~L$}J|2!(L|oQ0Ch^L%`7X?~~nDl!nUC zjow3D=0Uz_j$6jxK{(Y21x;x$c#7SJO}YUR68xK`^_V&M)CP2;QjHQKN`jUyo9I5h zUsh~5@sE!vD}~Raw-DMPq(7L4TQt{$bY3*PECmTyZ^z<w+W_GvXSo0?s1PW4mdgI* zFo^=XLfqetnrD+M)tY&I%!${>#$?8=;@T_>YMRDpYPc;-zxpOWOCGS0VKvbAA08-Z zAy$s)Q2Mg9d=Zkd^P+HJVL{fS9MB)MGrM<U(O5hi?)l9>(vnaFKlm;g`<K0Jy+=-_ zit&9{r<o)wT27Ialwg=12`@l7-Cd>lW;QYvnWG3%GYQFu>~t_#{10?er!_t8Z_^CR zA8r`(RzK<r#REoLx0?`Hh-3e`Zn*DZ|GT+#Mw`%<KtFJ+DWtxxs5Km{`UdvsoD$#z z+zZmV2}q~?xka%ecF@SIqsn3DP*gc7VM1b(K9m707SE{ST|pKFCQaXUv8btY#pTqt zX`&0X;`Rq*VG0`%jbTgG<F@We4fe1!*n&{?%HWkQ$qQXp4iyP>Te1=g?OaOOMsu;~ zenKfKKBJYc6MtDD)sMNs_*fzZF~K<aO;x>F4qpD017ZhNh6R>`xP?5iZA=az*s#Ej zTm5lLa3|-W2}wDt6HEU<heN7Y|7;k3krP_@JvL)Ooq2Dzz}hM-Trx))_V{EQlH=&S zq$Y%f1up}xCnjd0?b)nvC-u1Wd5>V!dBoocGlZ<!D<v?cw*|EpBE@t;yp5T6MVzok zjR~!W$V@CL08VngbE7*@jof9A<zl-k`Uzx$faQuEMhDo?Mob+Z9)5*_F&YLoEuAt7 zY#wo%gF!^0Lol45aB6~eiw+8xSW2;iE;c5K>}AZj6=TbQew1lrwS`I5%E*Kmp5OEs zj<_U}xr;T@{_SOO%;N!a?}o0RmXKq)dU-}?;KP8Xnso6saI@lXyPyJw`RNQ6{7;G| zpQeuiQHrz$B?vAF$tum;Ph2NSriLYG*7EQbw-=xAWOFrR0^;Ww;`i>~KI?{$x=K7% zpJ)@3J3*hfd5-|IIR|IFRyh(;Pb#0;95KL&YX)kZio`JkT20Nv)U2))U<FKG$Rmz> z8D2kpa9~th)*O+}z?v2t$OgrO%hTWmLdv+~O3CjIk2BlpwAjFTq>O@4p%YA3Y#OTl z8*BV{-2I4)%)a#~3w1|tLZ6(Y%V-<|a*!s6xIFt<UvF=BPodt_T(ca^&nDqZK32eC zcq;YdY4oeat+Zo-$^%JDx@w-)$Lwu2Pi}Z<XB6^94g*V~+&@yKiuAF`Jan2L<}Gnk zqB-z)FMZgDO*IJP6P~UR;+B8-B`1WF0K7iZ&uv5`MhC8LMzFx1A+5l$@Z8!Zy_kmc zkgN$JZVy9NE*aa=G)+lZP_qMdRhN(6DFmMI1gmm{3v@%@x`9uV^+Jah4&pf7$UzXh zBZfL*wdp|$X-KY0b&Jn;7JNL3Vb?Ih=ei+p&t|pc#_kc#;Q+Q+3b=_};$tx)wwtHi zLr50>lTL#AkYkQ(ftF(4dd^Tl5QA!gPd*+7UZ?CVmJE#f=fWqIKv}5En4l}pk6eOb z@{17|5<t&@38)h-JkE!L75~VOe*c)N)Q^2*VJU#3xq-aTJ$as90`0m0Gh~{x`f2=3 znb@NF7jc4N1dLf462_R2OKWYb*=xJA6YnomI)m|9B=!&SxRYY^Whyrz9yIwo6*5H0 z5U-Ce58XD_8@QWH2@<2K>S?e;h6F@^I4!Zs)eC*k#K{K*$xIIz`Qk;1CtDQHT^We| z;vhUhR}^mJ*<V1jzlG-7hX*a#5wQCFIKq2QYmVqgD68z)GaCUn_>_HcIFe5r4pNi? zPhP`pNXlaBp1EQTK*4E#Z|J3nypa<Z^-V=+&-=qgsh-&P7}JC14(8w*kn+0MR_p{g z-Z}P2jImZJ30)koO4O1<Jg$V0+rs0ZGNjgmM}3JG3hmXVI6RThbnF+rBk1DtoUSzb z`(qOygP~o4$&pUCSY@m&IW}={xIOP&hmYzzC>+P0%Lz@x7O`fays>HS3KY;4p<vbt z&f6BbRB<j^ACogZ#m+XYe{he!R!HB@LCZ$@rkM;mT<Tb=nZ^+8ilR|8*GoLN(jN+E z!45V<pp2kwu~SMu@FJDunH3pb)Saa$ds(N8go0xRn&-mXz?kS9&SaD7qC)iPbka!r zbZLmV&=oL@F*^on{wGKwKhR-@0xzK?_~+Z>m#m&3OaOb1$6hG(AM706h&Cfzq+)bq zFjfmWWI;l%?=LcZ8aQb*z2LUAoq|_4g8#m5$iipKvhyMwPi=k*6wIs!xZ^~hHmeK( zBj^IIXWAlo$c%~k4hHEDQxz=%S{4>HO`$zF*F)`&v+{)t8k#Z9PF+5jf!S$2?p2U! zd9*~*Sj4{ocRcS9HZ}?y?s=uh3+CaIvgW+95ymfd;&W>cx)6`s$Kc>wORA7qY83*{ z5baX?#2Pfw^{^ZmsP%+zWBI6>vtZF&J0ywMO<oS32whnrTIlM=lEvSBUsOeb4U=$^ zs^A9Q-C4~ehXR-qRGP}&D8+&`2}!Wv=|TzNre};<T8<D}YVf4La>iN#90Sr46E;c- zd8~V58;Kf3V;S?!E%z-W+xpU;4M3PR#nYj~Z>g9ig{8POcUH-nSsDEGR2mBwytk`` zwuC*9tA<`B!T7CrK`7cS;O?|mo77Ziu}$l7V|TJ~2}Po#gO#vhm!P;E@StxHnuNuP z_P_@Rmp4kfH0f2<x<mVw7E;IT(m$`oU=#$n<;S?}gg&RAzz%BAjr?mgNUvd$bO`FR z2O*_QSuBo^Olf>NgiDU3CEzz6a2q7nk2eZ?d$=Invc>uHdvNG?l)*HCzs)-&*Vf`# zVywVLu)tw~$W}%e;R#jeYN3*gGzG!vA8&USsuENQ=P7ySdy_19OdBi*V~0^bd^0J$ zeB4%`;4IYa`G00^hHGU-Z%<zX6C@Utg2kK=G7Et<5@*aEB&X%Ahm{IzODuYL_ux-^ z)=rId%Z)>tQ}DVrJRy&yf((v{ZKQkMr$8!J3meA;A(eEQhCLQ^%bCp!LT<P5r_HPw z&}kJ*&q2g*i~!>XMaoMy1vEJrG6T>X#Wx6327`L*4=%i5d?3SLeg%*qCG0Rr#z@$- zF<z)6{$gY2u}#!`<c)?4lt^;%43#28g!NH6L-u&u@{VXj$B0^3xl|2I8=uZ#JF)P& z?Tx<Lr7pli`}tiq8hy8RltRD%77;D9k03~f2Dpn`3VF_gCDwbn*u@9MC5^mo6rLSW z5f3k`f{%pENOx;hnNpLkz$r%gBW)DAL}!!(8su(9cXmO-B=Ah5RQp%l%n=}GEFh+= z)reGD%|EwcVIXv4R~+*tPU;<?0)Pl#I!^TY&G}1@tz9rlkgQJcB&0anMlyR5veQh# zW#U!^p*>TPKTuqq9)YDQo}q!eOsn4v|3VWpaXnNdY}XO464~S@-ja?1N`QO#(PkYi zW+x3UQ9@4%eHt1m+XFImg7LQ$RPihLZHE4Y_bH|ZVnzw<)1E?B&*^ky8T$?i7Vi!m zDI?U0zJ?x^!YD{mjix-TR6O>s4AChuRSje~`WiY3d4EEYuUwV-#{i(60*MP*=D?y| zLH68(xZe(OK-1{MZwl%*>5bjxs)%lDh!u#<y27~x1H53XVw=ViJfw<H?9RZabo;uG zB9@LBUBOHr4pRA`pCAz;_w78pZEz4b+m9!jb_~$DNA^LohUZ`hZq;5TO$knM=b1py zWFx%D7l|48aFApz!SKOs@$O+PQzWyvcyNFZmkASzM$4W+JqBA<pjlH~H!F-)G7(RT zGKbL7GVEN=3kUtZr)7P8KtZi}Uo+m5Rs&^`Mi?C`XXgobSq2pGD)^R%suUv?DwK~T zsR+w(eS8ZRV;$(82=p_<9KX|{vxn)<gn4nn>T{zM<i@nuB6i7LvQ}sC4BQK4JJ-O3 z41G&yu*BwQMXFlUeQ}m@;1r|wx!d>u!Ya9bwvmOcMU@{=(H)4(;I+A5cLv&YDW9DK zN39A9QX3z^LcPQbp3-)785tA!goN?EdDkg9OnQ@Ve~d7doZ&5OsVXo?iUmnu9_NtZ zhfn9uhk6tf%i%>$)1zU|IePEOG)J5rtjz52z~jvAwUJE)o1=uRs`CQ@E57$&gfBR4 zF-_ZLMD!&+l@n+X6+%n$A7Q&jV{7DL<C#EM+3{9-@DqC$MqL1`;iOhA4b+~=TU=^( zq&KKFO&E4L0tPE6os(3w0y59+VuHA3fvCChP09m@1z#r4SSVgf#2k^3jwNg<2TQ}A zz;Vpr!>Z=3a~VAXb6Pl<@P~X1a|DmRjvyWTfY7B(CV9Q0bFei;K@exokw%}%PHq7o zwn*X&S<<gCh4t||VeAP*ITSzWG9Y-1pddpQ3a~l^w2ug=Va%ttZ}m@iutcm-#REm@ z@?=bvEt^JA5l<-~l$ZrOsDci5-zq#Y9DG5BD&IU~4M7?8megQVtl~nNSbtYr7TO>{ zY2%KlX6h7{k&unOyy&IeWZh7Oh)~>J-AVxPgp?TM+EF7w?#k@r0UOSO6$J+bP{miA z?8l6kAkN;@imJOLgXOWQ?U0vOi0M3{+RdqIWM;aH&oJoB(Q}M86%wX%#TKk9m%524 zO@Pe8>>Gn?!*DVa9XycEz-!7Dbt16Fi^;rUg|zHSv^HwpG36J%6?5~dk%Z%eBo-d0 z&Sqg6dS}2zBZq@3K8Ta@M*O3<5nfBYbCXzT=diYM^U?h23NBUi_+xokKacz^1==bk zsU7)tMe~rOAuGPlV51UdqC~?pm@%ih*|Jy^!yVZ&JOLhL1dycY4o*4PFihkOph1mG z?tuP<{!wJs-*2;b2X+h&|0JxhcA!|pmhH|&oE10vi4sx5Bz-4f1#`N2s-55|ok7Eq zPj0ImJHde<*OWc**>2t?mWByp${oxG(|$1xcES*Tu`56c>>YIYz)h@h%}9?L(32h+ z%76)N!)}6i!C?zA+o6|OtYuhuj1{E9H$&vW9W-pdx`O_>`&apRQ;(kCq+_uwxjF@k zk~srr&r3LG#}<Wf#v?}Eo2;giKw|KmYSoQZOx~Drb>``e<mir?3<@$Z_%>m&6o8uO zVkou9T48JAK_x{7hD{J={b6db{s>hVpV+0$WumSc>IYcJcisx^etgqFA;Z)ll8N~^ zhp%6ylW&Txg5n6L6!>a^cep0yActt74Y5<sBBr7;(K~|qkyosbcaoNa<y7d$a3S&0 zr854#tPA7a8)8(adqUa)Y+xJCB`RkO38@HlNYW4PO}hnA85$=H2w(*zZW;US53{q> z7I-hs<>15P7$PSwfY&y%qUUeh!z$0DK^s``tgRHBs<p5e2ZN5-(z%*(xo6-9n=Xsk zs+_0pY0)%4>>@H8;%it1R?MCf`$T<+4P(@hDWOlQOw0ixo+%>@xgJIglq?GadRpg; zrXVNJ!I&6BZd|?WWMhq0W#Hlr424AGmka8dOP<DF!!55giQOuaOi-_3;SN*a<lqy; z{zNW~j}KxAUP0I<x9cx`(fG9rp5?MgdVJ;J7GX`ggD!cIHFyT@uHID0AS{oA9bokD z&~!DJCiWcfnB=cKx3R&v^CUg9sRuDx@q>|}h5$p?Jh+Fnn$YOi>U;tlvQ3x4j4w-M z@Yf>ROFQN&XVfs34p^X~ov+Mv#$RND2m@FFUhq>#w&RWV_3ei7Pt?y8wbYp|Ai}lk zR&=K=<MF7Cx={vDVy{C2M;06HlNSiuO{;+uRGYv~lXGeVPcPlhJj_W#6+FO&W{HEa zVG-`pmijSnBC>N1#QJomV0524>sV6%*!7c`(SnFv(bEjplWl5Dg9ewRtEG<|34hNA z?M%)xu>yZR6UB;9&LZwt86;D8ofwjLTqT25T7}ycZT*qh-Y$N@^E;8TUl!{WyhMCi z4-X-9P|qzU?7~CZfZi#rYhspIuAqe{_((&_L384PjkpE4wJ4l@V94sv)<4m*U%BHH zsfGGEyuE#gq-0x`&S^DyvCZk1_uKGzU+=w~!HbXckrsVmh!?;VJuUR`J2IY~pkQ<( z>k8J!HXpRb)KCg+a5$L|K2_jE4=iC{UyJjrbS!;395iZ)d(lDouov6#pW;I8T+s~# zumuO(PLmnbiVPs;?cF#eAUpC52gSN2v-BJ*jL+Rr6@Dikh_<B^r0`cg<OI?XSq^@6 z2U-$VEElJ#IW7KU<&dGRe(%a>3x-D#Hn)5D(FJ<jBJ3<wGu4MBN`m_y(z{?v2VwCk zW_oa1gdNb>*%5c)8D#MuZo&+q`rEO@d}pgDsNfxg4iN3jUao&o6;Te#_E2c!;wK3r z+(<{F+t-!Wh{(e=Ff0tAA!Si8E;#o1AE<DqfFGUnguIiTK?51A6YbjM73ALw#9w|W znhjB|LiTv4cnVGrqs#*%0<7XyT)MCEtPE7xSEeS33xEbQp}`j8z1u5eKj;}O9azEc zp2omh65Rn}A4c$&oGaTZ9X8n1VIy!@F3`-rS7ybi+c(IAkd$}c;3^z@Hh!Jf;s+KU z{}vm_gM#7R>*QH8&&wHvSsc?xln5Oh=8}x2Mr*b9X&J~$E_Yxw$;bpF>T-KrQ-~~X zW)t4R5$hNVDw!gz4p4}(Hmsm^Sr{(q4vM_cRX%ok%}yLMz?NFW1Es@M#{=acZl^k; zsS3P`9?(@GMJ9=S4-UV0=1t{|?NbKkXVs7$Qgmq!F@x#S;QdE>a*u2g?+)+-DPclq z@Z567^%)i#phU1<4&nt!u_xCpJom9rvN4dQkQyPl_%bWtFauvCJ+XnXPIT+g=OuZd za$nfsZMccz!9bPER+IsQ0l?LnUGRd1t{}rJ6+ET0n^2At`ABd;vteP_z5Cp&27oEz z0KJKu#>P#nNzcl#I7}El`A*DA0gd2W354d<lN?0bogCb?bHj7i(SmxWN)d<j83_zD zO`J$_9NXjCEIyTaDsxCl$TD5DkLRH^&b~A{L(>3R^nfanEPhdYeIl=+$!_$L-Im_? zGAU1s#d7Eygn<a=a)&SGB?;|xQ1^`H9(7}Gp&cPWfw5doLbdHSIzLH!GBBtIiklwH zUzsb<ZET>O!TK<l$;k%`lUXCiD-grb%U_uxrY$r~E@_0mC2W&-bOmmJutMgVGtLf} zAEy+6OWeDf9;hKxmSf*P3&rvAK}ouX7*P(e$H>PK8yoD2b=Aa$*YP@aE8wSRv&c45 z5venna${$Um2l3o2pcjvei8U=hYIfiUtC(TI}(OL>MUaq_>b~;mV-U~w$7iMWPKHM z1~YVF2kAPkML~mC0ybXc*<)P$0i?K$e&w+`DFOOu%s4;~?`Da#6Wfx}lp{-CI)}%B z1y5yQ2}r_Cn(=Uw99DeCsxdL~288Q9ZX1qEvDu>?@31$S<SD&By(O_kE<ROx7f|Vd z43RP&)Qw`qZ6o_Lpg0ZeGEbb|!6vJU7q~l36QhtOm8^&s{cCZubR#+bFgBQfV2m|3 z3xzpF$}7-JGq+jaVw70I@E~V_5^0<KrxlX=pRhYvAcYN-0>&_T@M4lOkOecSm+|}k z_gxL)r=--Q*&#)7Y!SOK$`43+#YfAA*f_cPA9wPjPR5}@0koK=pn;o&#I9gDy*c>7 z15^Omw0Aty1(?+bPlEraxgl2od#;LvOZWK)&65c6xp{4R{-f|L>~s)2Z8jY(68e5D z5bK;P<jUKx=GG-mGF9Q7>ZM?Qf?1Z73MNLmH@gB0OY}>+iU4V@2pn>#XpNdK?0B|q zOw7)v#gXt9bw~#GK+g5Hro}K4@j+#Pnhyj!dVfz|V+Jd=OKx~Df|M{+l$zmp0k)7A zsll@|#b6X}SFKAapvSCol(siQPaOZhd{FwQ91JN7$#H`xEW|Z{rQgx+o`||*JyVJ= z8lT`Cjk^qZS;&%3h)C5VfI&0d4*0J-;vEd-UnOD+)u>$l%UFnr#k!Y<;vAg!9eI<r z%zq2}unu~-1smDhb<RO&D@tY|lj&fUG^R6_?Tk4kU`wp~h)n^djS1sglX#d`gDCe7 zlIP@}n-}gim7^@e;|kb88OPs!9<n20kNpGi7#kNxKx?wKVVP#%88$8lFQ~ptHIw{R zBXp7dJ(=F#0l<IQLlkH?R*)DqBzK9};?n44tRn_CwoQVNPanI`O3n`Smp)tA%oe)y zh;h>?1z?<6ViY#7m9FSn!V;F8>=ubhRo;LzATXJ|eCV46ce+Ie841Z*x@tEU-QiG6 z2MLEbhI9!numtZ2rm~mU$6xtV8ZSb^2;+>JfX9-IPd`u}7Cu`A;`vu*YoP^S6CTp| zm>=X%cTfaMEHIj!wg)uepot<;Mq3p!cp^i+TwB5*@uExANLM>&#gNkXf;(JvieJVA zcdM63DoI$+F)=A69DTYvf!O0R$3fGB?ea!zD@qIryZX3$o^f445adfxH!7QN4v^Hr zT(5=K!be>&W+u1>XFwPnX&3r1Ua43xqTxNz^82p9+vE7-?B>tfGMzn@eMsEW!Xrlz z%g{eF9d_V{c(xmf30cGo{DEjU8a(dXc1eL<CrrH=lz)=w)eXaE26|05vNaMYMu31^ zZj?o=d@UD|mUPNMbri?sNCXhFW;a8xbXK_-6ljW1LrwRfnmSyoo8Xo%poOu_)g{D+ z;kjKA#5D6N1BxXi85WEX6vX36V*ZGdK>OgKX6IAN!4|(qDx7)r>9pwqEYvV<ymKIf zfiU<4cu)gGxa=C+hlQAbSvx+zJe3s+(Z+`sNf5cbLUvO<H-;dWfW#7*%DamSk!(ZS zL(vl@(<@abi`C;w-7|9FSH*NrM+qpd&Z%cM#2~$B_*TG#FxhUK9bLg0bumm#yoOc^ zm;+ctPE$b0c>h;lAVR5lWcbi#0GoR(@}!FFhz4g}FoG0`j*Ll}#p9M9CPe!;dO+)v zk10Z3Pn=tU*sh~{?6?AHh=HnaZV_>xu|tOojt<a3J5EtL7uc1rI)iFe#2CHE+NKu& z+T-nmuO9%o6lSj`<nUCHv@v9l;tq8ZbP%Ea7ns5K>xs66RRUQ)6ND2K<{u7=410on zAc6t_^m`V17VKc$LZQj4d(i)c%a3x$xc4fC2Vh{r7{jmwlQ5waBuQJSK_%+_<D_0? zV7N3*SvHJI*i%i)LJD$1$9&wjsh$s7enwfwm76BRy67A?^gZ3_$dJM1dW6GMvO$0} zqaoO03tqu)vKr5##U8{8pqe7s?H=7A1$GD)D!T(*h+NS$b_IwK4ogo2icg%WOdD7j z9uxqb-QW*Hw>aYaO`M&9B(sn9iGfcZyzqE#q=&R-$!uyeX>^H$glSbH0c@cB^$acr zBX$997jQ!vZ$auWL)8{C&P<k-A_~Pt$xF)S5{c3hx1){8%M;nB{3GB66@BiS;;Rc* zSzbKF>w~ckIqF@y10^POVKQeGGGw{?f5J8{Cp7x&UM4CwJ$M=5g3Pnbwvc+(-LlV0 zR_Y8B;?_Tg2ed|N5)cMOXCCMd8vRc)cu4KGMDl31`RP&8#X)#}QzSH+jY;ey8ll67 z1d2Wvo%WNv^g5-6GNh~~2NLRfPIh-3;c?E<!qvJtUEuf=Z(Nu_8sNh7GLR^EerLGN zoZfzhQpR<0pxP7;4;bmN7ef*dR^aYFiAO~hqrCi5VJ)9|9*>80-arfD@%b8ugZasO zo^DP4*t8H#pLnGB0bETutGRoSg8h(8-r92A!Fj5)yMZQy^}?wIT-jj|{d2AbOi))q zTHewbta#nr_b|B*;fYYiCgH3-TCj>MdXURjd>L)eYDzqrn~6^074%Q1z&~f{7Mk*u z(r=!U0}JY<v_1~&9Z?s^{k9T-OPl3jjJTb;fT0BY|6q?E>0ZKgx2I27Yn5MjOF39L zJB}r;@R@ev!3go`Wqi;sAJymfO!@@3`YePw`N~M>vDSR=X2%6@S3$ODOEJY|gd;!i zOJSOBmRWN}TD|j-x=a(@(_8{VMWAO}0;LWp@6KOxn++0N#Zw<}=Bxl<dcrc%U3qE* zgH@~{xHo@av(u7^3GJl2LSs-GGFBZ9<X|wcKx~pIy(NZeF^-uLvG5^t7!m&VzD*d? zg0Kx)xS?a$X-Z92F{FF$DFWpl;d-v9SxmiwXCWPovgRgcVIH<%dUKZn5y%sLT9c`Q z3=qg2&$|KR8F$1gPKbi<7DYWv&c_rk61#wTv6e%~pi5Jq9E4lpu;TtBaADD28-fK` z@;mq5JA-rwAFD_R(oi!!V4P4XKx-tl)yqJNfq`LRSTsUb579!U%DIHBks@3l4C)6f zD4NL7{_s|wlEjW1`{bmaor`cL^!Mpn9`6=0E;vaEH+yd7CLz`0eLoTzChA3YO_MJe z@xs~=0R+sYTN%-Q<g(GH&l%jh#zKT$C8HaU+Az|Rp?m?}BQS$AakLOJb7*K}P*vOJ z`(a|<YM&Ct42{A$`aO)#82@e?gc|83gS7)0XAU7&!3{J?DbY3=tA=ij?hv|w2GG`p z$Jz^zaPiV{FFtP}*ezZTFes5^><h#xWgx3Eafcr&$q8<1AX7!%=v~+uEXSOl=%!bc z0PhZFgw?bv8-*bdy$c!Ir$)3}4=LNnThQ=}r<6j{=&?fFC}c4m(#?X&W@DsXEPYUC za^7)hWX6iuJx~flH!^&NC(Mb@f_=GbksSw7BYtC;jCedgWk8uzQ<9VBrxXl7(GM}j z10dw=ZU}Z`GRVhH`S#^N5MF5VcD^7im=q?6G)b`+812P?LV!280~@-37RA^E5-9sj zC<`qXh@HXn13V=M5r!!5uo$D2Clz=dM`VWohsA#sjZo^b8Q>ydGEjbq%?+Rdd>`=G z5yyWdVg8^5(D=X?i%BGpg%0Xy8#>Y`CL%%DHIX?r@wEZ4E@xb96|>${JhqG1;SOfE zAAemc9`4o%NAy!~MXcb<MU;ky2{ct16s8F+%`Zr|Z|Rd>xTPD=VZlB=0Wb)tpz-e1 zLV9LX|8xn9nx=kRsg*6u#d6<DXSs<#HqxR`pLF=5D2&f!MJI5slXeF#oF=C*&JgEA zHjOqs6E`T{0Nxa&$;`yB34FT4S{y!vbr|`@&}lqwr_c?pdc$1JV|Q6eU<WXh!-WPN z4lM;-Ws)Kvz9#k%Ae>H56daBY*wEcXcxtDJIc5w@HTzb<+R~0zq@uF9=YP6G!MtO@ z-H~Ph8#dEpka&!Sk6i%wg1!U*#b}5nu2=oeQh@ws-r+jZO9uE#e)k`dg7e`UJYkdq zZ{==Rut6TUR%(eVcW?!Jm~jN}#fZRkPS)jRnB_&!K|-$8$%T*Muv_eqdr&x?iCDu1 zX=Kp!nxhyGJ#&Mz*FNmS@qr8HNAcX~5+FfFzdD5a!4bqE8%pTsPGRV-UkdDiTRFmt zqIe$k-Qtb9WAfhlk8&_R-X~Q$1MWuo?rgweN1O}OgSukr?h0r1LG;8Z)i1RVO|i>@ zggWFL)~CU>XzrEtKC_p#Y^5NZn<BxvV-Nz{7x){1cwAybyGuaFDT5$~*5Vx`8t%&l zwpvhcK8^?YxQ}U+P-+F<I6#|!FTjqrG<QfoVUTiOK-zbDaQM6h%9RdJ+i^IP2E$L+ zv<Nw%!Gjg7=;sIf+aAJP@HCzP6ml?tyhGSRJIdmU)-EH2C;nmu!(rH^Z88efR=$`F zQ}3Wt9H6@-k?UoszpH2tQj~%$83_bxj!3xy8mwV$6t3w>CNRA4)z-Y;IOmE|kY;eF zc|UfXKuf~@NS7Qd$RFKBlNO@f(njYf%}dbmM0WEZu8M^m1IZyJU&l9c9`9a*`7>)^ z2aNdewBU6krml2uE0Q^~X#befcwq;hOgPK{vO&;wL;FY=_ova}fG}AKrmPqmy5x3j zv#lH$sBJg?74D>`rWkj{($*&0?aj#{g*D0Q*F<3}Jy3xQ9ZGAK8`KPnJhQyI;Eepd zV2C<*#)8&j3<M~Y*sPolBo}EUEHLw}J3Y%f>W*;mgnjTFa)Nj8491d0k;JwcjT3D| z7qK9h&MI+Ss4t7^#IR0&La&s?Y!$nnW`2*30@p14{zlgT=?#ha=94<@MO2E><!V%d zYXAYW4G2_+)bueu7-E)~gS8ARHp|wSTsniHOy&=Z6ct5&s`t-LN$Tthx)`GH==Tpd zDN9GN?`^{SnnZorAOEBh<$y!BmjQKHA8gBaZ0bk8%RxyWC{eS&8~G<CjJ<0@bO9_r zM+zSPnU&WS>&}J2bITXo70~*-GvKC9gu8Z%TTBkKg^A|0Fy8|wW@~<<p7hwjtfQrc zaAR@Pn1K_3+3k*sDG-d_;~F};jM2n?unHK}0yeBoG+tObR+Py@S>)y0ESd34UFRQ` z*g&3m5E~+>^rhy<Sni|8x+;Ok=jrStgv*or!gBAy&RYyC_0tj3pO08lCrz=6R4Ivl z@@6TRQVP@u6*Xkw+L`E{Dg)JV-#+*W(tmAA2Uj*@!$N&mR`+A|JlxzMkctRY>zXo_ zV6=E!3qat}{a8F6x0P86gb?WQy7`ZMykH+b(FtUs8D*I^BtN5lL$SJa1#a+=K0!_; z3=ghbX%R?~zM$$V0uO>P?ZPImGW)yTDn=^>T{e(Cq6`vDz5B$BtTd#%J9zGnV8(Ix zvM_I320r7N+(_S&ltHx%Q=#hM!+QiyhX4?Y2_|-SDqZE1n?^cZxag8r0eW-1U9m{) z1gVHxv=yjcmJ?j7?7JxS9HCkSZfzqiNeRdlH7yfivSI_m5B>v6gYoNFDVQXYq7BWq zg0dwe@cbndqu%9_B;I|{&w^P^bk?7@4~pxaio~t1Z>~y{6g65TqexY(dU+dh3&ReH zRvTC`;HvBfhuG?6$f)0MoB$Bw;}|0S{%euiQNm5$9VVE=y4`UB*_yOJs_~k5doKNp zcMC;y$8M0gLs06+{;SaJpHdN7o6pTuR<nbE5ThJ)@jjVe4xTu0OGfu3HgmFBAU)dE zjG3jN29DIx;8fcGBs-LYWq^0U8RyAN52~<Hm-{k!ZsafTRK^cwzq*Zo0y8r!2TOQK z_JiMNRsOxLryL}#K_`8LrkU-SuQd6v12iN0kENg%b<91bgcpWU0#ID)2ySeF=}_6y zmJ&MTeM;RpX^%WxjI;}j!VD)PYMQb&MDL~GX$@!TJb3J9pjQR009in$zv#fuc+ksW z$Je-V=+0BZ#ieR@UpnsqBD@@^UuwsIaQUGQ$xs=vNQRAClQyhX$6KCAM1mt6^d}ax z1bQpC2QFMjJLXscQQiu?weDaWI-|MBMzY74*G<b}s0H1y*%>(CKjqjnXkp_cKlhXh zDi7t3|0N^)0MUYP0AlhJ5e@y1825TxDwipAz4{ID*>QQ(V92`z`h~)L#vP%T_@5|4 z*@X*q78x=u)L6bV<)dG0L%H+2nOha@_4*79C=1JMP#-rkTio@bLs&I7Z4<Z5)lKGD zU<3iY;Bj%noRN#T>6V^dTkG|u5An+xkPl?skQVw=65-s~Y>7P|dROPXO|lK^6&-6u zry1cop>uxy3Vx_m#LSqm9xk9=xh|vA`W8X171FJdBt*T$Hla6`f-E8OCH^s&W9%B7 z&e%i))d3sQ@X!Z^DM1Mn*2r{H&tQV!ZEqcRF7E~PGsC(CPWtw2CNf2u_{nN!V&{O6 zPzoUZY(>)8i=aE@4qjyX+L$D4B*0^^JEGON1OM}n#3bSh3#Fhexp^0{JuMQ#vTqXv z*)BY{wDEUdv)39gMoor=sslp#P=4t?Ipa{S8Hwaf76t_J#Fnwj1;pyb?tlh>xQ#Yg zNOdwC{D|u?Fx?I-zV^ivm?imVDFFI+Mt>$JWp^We`?|M7crQBk|7M%)z9uECjur<7 z>JOGI09t5Sj@3Y>cn&)ax);$bqkxX(02S{`7!*!dkXsm@k9wOW4qHu~n-q^mhpdmm z^T*C*qE{Qx51(Eh3jy9f4m=3y0Lk0FH?G`y<#77q<qVnLT@G?=Dd%$BK(K-$KB!G% zlyq2tan*qR0v3x#6wD(Aq&z*n!_(*rdRz}&A7VL8)&~az(l=>0QTB(rSi;YMAm&LS z-$hi+#X(y)5_KZ7mIU=SPb>x9cYmIRP<Gg{U(?0>MNocjlY{w34wGUA5gHyWUiUvy zfATG4KoA9CNM+>!RnW^pheS)-$y>+7VPOb%KwFQgu4p-S8OkH@(x5nk+MEn$Q9XVm zpTb32E3g0$EG>a0aC)5u4(g01m|2Vtitq~XH7-F~5}0|S$x)0TLpVr?u(ED|aO}v| z4l&(fFISN>(n+0DRyLmfc}w4$+K=4<x$831l?)FDE`A0Hfi-x;0D7$)(6SIEqb&m6 zIPRr{Xwdz~ra;MGGV*o;^5Z6mR~&N@++YISjfa_58K?F{g`Vr9Dz#|%YjL`R1XXiI z6YNs1>@tJL4G`HCR4_V7{G#oV^Fl}PmGXwtd5lo}pSvA`NNV{k66cM>3V-+$lvd;c z?9s~vAMEF@FoiA~#w>=2_2a5OE@!mp4%{s~iFQdtj%Y8?;(mmn!LW77;(y|gAzcF9 zp|f{VW`_hz50~<J;VE}qtfLr9WEJUS;55Ygb>hZNvCk<7R1&pNBT||~55%|r4tg6d ztXy2(T;y}e7$>uein#0-O0+6Qc=~T+tv!o?-I&7s!fVl<woH%i9>{n@|Jp%QJdh#A zm1Q?CdNf-PlhE6<m+#X}Kn(B)?WkhpbvZDUMO|CamgOeZ?ylfU<s(UXh+pbt#1gVq z=!MF3wcVsM7)V?$#sqoG#I)M;7=Qqr)!Bx^9i}`Dihxr>eSMQ@LQ9h+puTQ<s;$Hl zC^3Jqgu`AovZUP_E9{O~SF<b-`$v^nb%Rg@^zWbXzB#Diao%OhNwzlR(LboK$z^bG zff7k*NFCe!D}QNya-D~ypTb^jG7t=k5i>my0=7el+G3I>0mryh#T{*;-D<Q!nqq38 zK5a@ds<LdH{;Z#nG1kvOfZgB9fgvcKu(J!7A)p)4M(ioB$1MyH7RZwf=WN|s@iuuK z3=xcEC#~S3>NxteUvR}DuIMA~=p!y~m)rpSo)}{fRscc6f_Uz|(!s5MuCT9)oBN=% zaS3%|12Lhm&=>bgEp5GTP9FHRWN$u%i3)Zimyl*alqHsp{3FS0Ivqmy%+=@)fFYcX zWKVFE1ZA@>8Smj{1fvY*1Da?I4S<2VEAIXdAI>mBuj*{nKJvyaw#g%l4L=r(R8Tp? zuwM+r&oYr@gYsLJba@>X@9XWv<6dl~0FjSObSV-L%@)E-#J4-Jck~H%|B#eMw%<u6 za$vI^Z8`D*jcZZRDLU@Va)A3#pFwE_lxQ?0CM3c5E>apb!hK5_P+5{nEV|Gnd|BEf zG>vW}Q#J-J>bB0oHj)DeaL(8kZ2rECUPi78vm$6!*yy--fNt2PG0>>B$oOVYTLpWp zqAsd5KhG$A8Rm$7C$#S1^d|4s`wj;`044@Q*li|yOl-P-ueW=bksc1F1NS3(7C0PK zyX5mGxp@f%O%}}d))SMgr`3RM^1iK)+)QPDa#<Ba*gh=S8sZ2OfMU@wh6z!8aS;G) z$SADrtBaJgh>}IoOy`X%5RjW7)UZai3|9QZiTH+$0RaKo2C=t4*h0lWe_~O%K9a^I zv?BKZME|DX2Z#AjK$j0hIMAWhqa9id3|w*I@fg4|e{RpzDX|4fsK6!i55~fxv17qn zo8-tad}RcaojRsAd{{6EQ)db}kQ?_tsh|ISN1Uvho{6u)6P_pKrVp(wEae_1M9wBc z#^P!GI)WtN@WfyV&t^(HbWFR%NiF~-&bo>uz%^sVkVQdrFoP~~91>cxmk9*^G6e}J zI5Ef!i>Rh~00tvkUt{I-yv61No1&j5Q?-vk_K5bmPXUyP$Gi((Nl{O>(BZRW?kH45 ztwMqSiQA<O*)%3eX&92J!nF3`9RlK*k;ph~N)JBL2sa}x0I;e$EqgbcOS|vX8E8$* z(iMn<oUe6<e2hru#~Zx{N?yj6jZs|Azfdl*5|4dAP$lyU>o9j3RCgo2$!BuQlN|Rh z9YP79*ULhYlCivVc-S_$MV88f{|YqfJM0I5vfEZAFToP$#|o*-b<t$exFKO$aJy<V z<i0&is#^VsE4LJ{7!;oPrY3E}5bi(?L80RZBV0{SynEa3Yj_5sPQ){e5^ZyjQm{ZA zEN~z^*ds%Zv!z*{E0%YCvJe@eIuNE->y`2WEp3V*+YI)c`<-CJ;sFb0&tXyTv>eZH zGj15yMqmIILpH;>*t-N;of?K>G|prA4%1?C{X873iDZp$`I5Up2gAX|P-?ikKhaCn zDs0&}3?y!QI4ca8;PvTLEZ;6LE75NFmKtT^LbRX~S4Sh-O3D!d-YmofQ9sv;RWC!X zhB;iBUa7fy%2dAT54KSKT9?!h;dqF{pjaY#{SA8K<J(6c;j}D(3F2je?ydZqjW>_| z188(eqV)szwIr0(MwWyF)-BL6GgzrAX*`d1T@x`ZRQR7T1i2$zutB`uTNou?>ck|^ zvUr(zeiIY2Fq4xk7^`#$h9{gW`xqovSd}ocn~7TFS5T$6gpkl@0DDLBIa{pzsT6u& zu%8_Z#EOL?IR-TaQTdbt*WTk96le|_s#~UilHL`~Rl(5V1$UasB0OxVIDzu<{?fH| z?{P5u#+J6BFw-q!cX-DRL<mjMFrnQz1H$z3@c8gJ;E*uY-z0@(`d7HZ@Sy>T+YL*f zZNFAVGsx0e)HJfY^}s=UMz_oUAT-QRp<6A7173hE(7u8QE9EELCh-;@jf!9fjLxYl zGR#*e^+YW#Ave0r5c{oK{3S;k<Q06P+b=@Xl68cZhT<Iq7*jAc%S#4>uQ*8mT;2Nw z>>%bimut0P_o3=Ul^7U?_@`Q7dYp&k-2vXM-opRHi%}DImh47Nk79^EMff*0p&Jz$ z4mdDuWcAho89){lyj?Hn_3GxYW%&o_QD`|(Y2Z9z;lh2_vFotZ=u-|#3#~DMsftw= z^l?v65-DZufoL^6OKcwP9tAV-!M*XYXW}%X4(E{x)3;V)TRo;Eqav`fRV<x{04u(5 z?%_zott>?jjn*c`hla;n1`1fbLl~lwOaf+dwHf8$@s8jGL*rJOG3yESJHqCH-4biD z+_wY;?})p7Bfo&O#4S14<HIwcLWC;?z9VjixWe|R6d~>BD>do4*oBlET~?>6N64~~ zoRYS71-4H4OHo1i>S5d+f_DWOCNUZD%ej6w`r}&H-MMFp$)~tsFZjZid`lV~PGmWl zGA!`dDPYhsU99y;Y3wjP5V!Q(&6NX!3$f=tQOuAP#1fH)fa-HjxA3DBYI0$*9Uo!D zdpZT=B=Xsog*_l_*PUim8{B=331qCG8C?TK-Gz$90@#otizF#D%s!>LZpnaeUiQW_ zFlX0cOCo0#b}=?%@*KC?ZA;q@2|>+_W9BRjNAQG@Nh;2K6GuZPY?*2p<e?Ny3GoG^ zaO|*2o=Ys)Yos`0>+tyMVFGf`;yryf)G36?PD7&DkbcysFEKFg;E7CPrvijXPTf)( z%H?lhy3r~*cm+5bqs(c~n3fC*P!|ELdG6?>CG0{qJ{JdM?;x@h3ZKv%tWVhDl&{zD zGPtk>Tk9G2=%t{#VT|5uozLgpw+;}@!lNb0s=iu?u5pY1Nf+(`F3v`)Mr0OSg`eS> z+GuGy#qP5PKi?x|uX(2bUO~8D>J%su+XWzkkL4r6CGNe*$Y$4akU=w|gKL%4>B1a@ z0b)wV?SnK<MqvKz7-#zk;Hp<R9=8?Lm|R1NNY|o)U1=sZ*=)IZhJ=M2$qACmBu5w> z01eT5!<7oVLQ;$-xk}XLXIwZLA#uFNq!n-o-JEI<tHxn>$|p9DJ<i1`2LoHjg5zH! zq(#kG4>^Gni9CbzNhL@hLZOG7Tv2kz06VDK#?cs;#TG+#1?Q7|*lPQ&a6O7T^SEWQ zi=FUI1Hp?5A!fqRvPFm-gx?8jzuidI-`a%Rx<t2+f7KL?Un;UeXo?kZP-sq-xQ6aA z#QY%1`J(ATuVLBg!L3UqTQk(~PCp7b(fDkHcM>E6eT5^MmxFcNAi2L`=LVq%bm;bJ zMY@F*HZHTeit$|ShbDonNP~TVEmmfu<AR#vXynP#-L-L#C6_QhwS*(-oRWo5C71&W zMbW__gSAJ9dQJg{W!%I%TvrNwVh+#1hN%-1W3H^QEuq!KK=k1TXvh6vCr=pc%iSRP z+;n~(9wvYM9XSu?fwoF%(jD)d$%@TtAhkOJ#E0lD149=B)*bO}=CYWP{!{};aw-YO z6f}SXbXGFDGqYy$a?3sQbAZum>mgX^SPT(E;Jbry?)gPH@CVXeGH6Fk;HJSOe`PNP z7c+Ut>+`+2D^{R#q$@&6_~dj_|7DEWe(4jQo8QQCP<=mo6MH_X1cBRAzr;Qs;n}H% zSz;xg)IM;c3tqq<uV`GDwdv&`hlxI&6`X~*_)PwwCk}OP>VK32dKEO{Cj?y3r@Sv# z-@znH*q-bKP9Odgu`9%V$6$8@pWyYlP&<CWjM*uiHwqZvg@W9SRrf+TLhdpD(y*7M zp<-74!4Izn23xxH+G1Ubtf48A;V}a7n;6E45}q3C?|Tt)Mt5z_*$uCBzbk8njg}Q^ zY^pce>*!aixbKhZ9e{zC%zAF8fY~jhz@(ZK@g;<>J|a=LF`kMX<Bj-KN{yOj+?fpn z4DLn`BT0;E!8d54k#tt_l!V3{?}Tp@&?qO$47RHmpWjEmNhdHqVe9?A;R926Zr{^! z#kL0tc}Ux_?>Htijm$w8DKKZs%dJ|h9JG%Ox#9@!MTViVBkXHb5iQ7T;PCSJO9tD* z%dvF#A+T**l?-Qwrm5+f$1!gSUr|4lDrPAoeyurO+Gu@j?!n?v+IL6sMnJZm>JiOw zL7Q3|Vq!XjT!Chh!M)Lr{-7i1aOufl4~@<Z0_I)n%vbukU63UUz&%p%_dmAtILPqN z1S&K54q!q*U>sbbC*GL>uc3yPqgTK|9h;*%1RJ2!A{ZfVDF)17;e|HSNM(4S52IBf zU+h-EckE%C?71ri143<JcMK3WO4z#a6jP{7sz3#*<Lsb}qDw6k_FC>~PovtN0z;@x z2L!cQ7fZF=onvkg;*N5_TZ<c-T?2v;j;~%`5y1X2KObsc@{M0^GF^O!2URa7@K4H+ z)q@C8Pf0+M@}N(udK*j)LB{Q%4|Ik&bjSp^a?r#ks|b9!Sqes&=+q{|LXn{LBJOB8 z1XK1*l#Q&`M@hsDT|AWR!gSjBsj<F0FHs%~OJ#B<qUmRa0sjL`sWVi)n?~}q4U`j1 zco=Tf5E|~d@c}3UbMlI<fl^dk<2mr{nkUZ0K+BJicUW6)MxvH5ZQD1xja0(}+*V8i z*O%c;+_^s<`{*(~DLNiZBEh9jtH9Yg%EUCn9S#=sc0Lli#~y~7Zlye9#c5#*a4t#| zaEKYA`^u_$u}tyMe?7tOKx>6zfLEp!a8@_^+N1Y}AL8SUT#@XmN=-Umrv;oK1AjW5 zLENLC8ylE%VksZ^_WtA3A$V)SJN{qtqmLW%uOWh&iLQ2NAA&;hERoXyjw0Paap>>~ zW8&lnqrR2x1Cux)=(5D~qB=R*V!Ktx)F9<NJft1vpiPf1k7Z+nf|a65pI@4!FG$`> z=XejWyMP^ImJ~GD6}ZDUvamfJxVSpC2k;Xr37#-(Mx~<Fz`(FDXjz!u>%?qMQCGk( ze$GABt@;ZN7y8-_GHt8zb=@>%bLlh-zHDqT1LMH@7>GYy(EqJ2VnRc=NWFQS-&n+P z#X|>M_zhPkThjWK%7B9H+ic<oL)qsJf<oQ_w;u*Xzevd@Z|u;Awj@!9DWa;$!T83g z7D~w7)|3fJ09t&MrN=$W0Mn8vUpn$ecTfC8G1J6413ukQ1$Y)~_s-zCS%h5-4f;o^ z*yL2tzm$nzPeXAr@~??l`4?88f+xS^OYo5R$jC~(;tmrx2uu{;60Tl-5<8!-6!y^t z%qbrb7~<2X5D#d0fM=3&%!8*uuVCRpEcL_yknawFT>(1*KFel3{`pUqxotdo!3aJh zOdff~%q%`9c(=$sDC;&HJqC%JtRS9P=-oz&g*-FO$_$xOTjJx#@zrxw6gHgEf|HA1 zraTkF4X{i^zgltk=Pri?V~T+mxdq0CxAuz(FBJV0DGOSB2&2si+B-M@Iw+|CNuy<S z1xpes7DOJn_Y_?60|NrY%*HmH9G0p$L9f`#t^ow6MsBU=NesB6Wfh6hSjHNjb3O+0 z@J5#jgXE41O_SRq7omvkJ4~U&3CyuLw4r7|r1m6Jc78?Dl2v3#vxDiMKlc!je_NLL zAduzj>9SapQqY98j1i7^MduvY5=r@e;1%qc#5)78YM7QabP7ke0kJZ3SFlNV?hRuP zo|<cz7U;j&-nJ59<2_@f^+BLt*-KU$^dK(JU$v<N9Iu&h-zm#asx>p{o-!=7Qiu6@ z^-JCFmZo&(000!L3m>+F7tAz<F@<upJW}=XbWb|Mc}qS&Z8<sj5RJKj89?`$Yv95X zLqe0#G>U&x;0L67o_4F1$al**EP&|@R^X*nlQ)A#90X0kwkqhRx&EI({tk99Kw-q{ zCg*_MJ4jD&jNKb+apa3R$NiVD3%nbSL-YntpK@5#XM(zJIJG5k5nJ2VkydYHNgEb= z+=II3s*oVMKK+Ndrx!rU3lgQ%X@hfc49&c+pK`|s9#FR2+_T)!^+abPel>&%*C0?o zhO6afBcjfHgbYPG02;oRm~}`m$>s7CdLrUbW7t|ihz)nhKA-_CU}PrO$UPxptP$O( z)K%{elJE`~w!n3jZyNK3Cq{mAzpa!>ROo2c51oemlfgw9%K<v1G(qjHvCXH?Zp~yk zh#z<VXbg&xC(p0aA$TCPNE_~>rR6tgEL7JDI-)NYX9TX(MXiJty8)Qf=A9o#qRbM` zMiXtg>j4W0{vrD``vtnQW@;s2m`R*|pj?1UaHzg#9g#reoX~Pr#Q71-rLUALL3Xg3 z3z$U1b{+pp!K+O|4?j2%;00z`Y<RmDHr6En6c=}N@h?mfr^J508yVqTbR9I3&P+U- z?NHt9*;VR{Ab@TK*u9&atqzYV67{bI;<%NFegjW((zBoBC+_Z_Z!GIm3bH4$hfUI; zwc5O)Lb8+3Q|{6vqgYdBk*CA+<`Urd-5mNQ>Xtfg-i$_>D>f}<V`w7vtV1$Cl0<T0 z*HxQXDdX*?nxt(k;(dPkSS54u;j{=fZ31oYtnj8qSeTz>3)`Pcu?L7f4Lssff&f$+ zu!31ajo4xFTF{Fy>~}Cqbb|GrWf-qQVsZ5{oE4iSc#uiw0)`?&hK{zpCEVSx)1sMK zS>a!B?z?35nt8FsKV%rfv$<*9(&H_K{gYLDO4d*o#itBPB2(ZQ>!U_hr<RmPGrNJd z#~{yvo^8L`cTg{9nDQ=+@g9za`%(n}@y<g9mxa+dn?o4EKjN%|g-Ewnf|fR?v+Bts z+|1veJOb|mx=0zPz={no{t$12gWKZ{@Af6@LlVp%%pi-y(Pmemcl{*GL!C0RXc2}; z8#|SWs&FPrP-dEhEnDjNJO{71B}#)eoK+l1I~ML8a9Jx*&p<D@rw<E|)icF&Vy{KV z%^ku8n1EY%z{Em|Pic10RZX>SRr9Rwnr^%l@Rwk6<#gYJn{9f8Mvy|DkTp7Nw&D<$ z${^Pj#u#O}MT@E82ddZdXy!wOEg(XLPYy1!+61ddv*YBqE=)Q#`f|5$+_=sn-a_=O z%>t2QFbAEB#pP^6(_k+u6RE^p;Y*ic`geE)14L{<XRSmjJyrt;oZL4115dLZ>4*$3 zM&08-v<(9<I9MTB_MJf*R;0`^z!!^b2AlobrnLrn^1M4`-RWxn7LEX8T6Qz*bHOpC zp%E?bRZOV1D3}?XFapV-0&Nm5%gj|Fw_-|npn!kBd{KW72^nL)cLC)NXHi!pQ8wEg zu)bDE*qhV6mAdP*3*FKU(AAadD!YF_w}pV35x1~T?x5DtTec(EXuGTYz@~9ao_G2T z3b2T(U4{i9gzt6Ye&n4?j`?9n<*+vKBpCAiDq0K5kv6pU)ExY~I?KP`y8sO~9BE00 zFG|B1u1SgS)tN0e$23`GLU{$Q(m^aTvRK@h*MX@Wt$AMJ*|%<;0^N=rxBpqf1Tu){ z{7M7*l#X$J)o=<}CRDcaLFi*~H{5`gK<(X8j0cmavo8qj3{7!7K8OS=e!}m&VPmuV zPZ-rU*)TAOWI*1yw#8v)+c-Lwvdu%tfEbpD6&cWNFpP3avRaAQlcEz>4&b|>M;X?d z!<e_kJY1J-6Z*#mZN_b*rFdQ5LhY19T8UqSf^rJJFd}AxqjYvKK|l5n(C|rQ@G?Lz zGS?@CM#(BxFb>V3WrRk(F>ZH)3wntak`Q}FFi`1L)>{}u^yCa)DUVyk3JCNiUEIq; zj&Ke-2@LNFaJ>5vb@LWxAswG#iCU^;Z*FUbZU2kkxiKVco3|FMOg$HUmOzY~Ii@|f zX25HaCAMIYq6ao2_|(SeH5QeLfEF$`=6U%*kOZWx0akgg7sx-E^A6>T6%}k66y~nR z4YojYh+#;wQZS7yXuHu3R>MX>m|q|07<_{Zo+xEGcvq3D((qQI`KvWf@8*s)tmq@} zn(?UxTj<rJ9E=SrG`Nk6<1NNs`nXm46-+cOS<PmfP$pXBtMCR^;1<_yyYhI1{jsYI zqw1?5dpf&BVe}5TjF){*;&Y-gOY`Gc$`d_g^l#!Qc)^F|Hb|66)f*PD8~hVaXeppV z?+$A0K})+cH9eL4eRrmjRU&jn6HWGKeMh%rNbGxpmX_0k2TRZhgD!axxesyQsOV`D zGtQ_%X-kX_ij;yWRwfkJtvIL+H*{aOXlXpVt&Tv`BJQNX*GR}+v{q|V%*sG!DKJ?r zpgngkTtNiNR!)!1#5x`@`TG>WTfziAH8|ZDUt#d#Nm4@%ncN9OBsNPp9ZzrzHXua$ zJRC;%Vi~CLYgjTghWU4xL^4tbJ=>uK94N4WD7eD_kT6k0NX>!*e08BCA?MmjI^AL$ ztQ^3|xkKnvR!D_Y!m~Eu!Q6eZ1#pa&0j+*hXSyZJ0oyP$zeZFjo@NJ3)+7PPO%WN0 z)q{T3H{x~%f}wr#ZbCO|H`l<I1L-zOH_mX2utl*}k2Ql37Tj&U2V2I9(iH9hmK^S1 zFhY%1TU;|l*8x2n0qkIFJ6uN@$;R7++aG~5+$aI<=<O$2+ugCmARf?T3xU4_-rXGw zqtem%EkJ~xz0_n-VEW6D?A7EE54MS_)bD@^<v7W})eHO63imuu*fI#o*fWh;y)Yb_ zRWf&Q17En63_P2{l{m=CX1K~J9A*clxvz<Dt+{2mSa!=Puur6^8N0!<Sj}uHlaSn* zu1xPB<M~-JPf&k<*Z)owB*9icub6w#=bx?09x_=VjFeh9&cBWd_ppiD7@F4U*;bhB zA`SM0WoPKB8;Ei)1nS~YLv@wg&<h>BlV(J$c1GG|&C$=62J<c$xEYWOc1M#!Ob9WP zg}9^EbW7ZN{GLlrTP>nG{EJIm?&YG{63#o8O~D0O7=}PuZA`o?P`B15%ETIbP>;%- z5_y3I^>MOwD=d3>wwdDxY>0Ps2F^Rk*wQxW9ybJ0B&6%G&?#S&M~9X45n3jY(#Mq0 zfGxf!L(-E~U4`I{J*~GlO+J}nST1*XkkLc8gQ)IqN5JrpHosILS-20=_oKE*3C70F z_k<0BjPPeRr?_+ICJ?I}R9<)B>~ZC~*-mz8J>rBmd{9XPw_m|omJLhBL6Z<;|C>`7 z;h>cq<+L&&U1O%44J!)2Cr_V!9&0OT1vMqEd$?BC?oH;oWk|&U@US3c*eOT|1%4mX z7L2DHY;2q=w163y(xz8+0Re20cBXFo*i2u_@DcnZ-oTEKVZpj|fP_xzO_eFbxuW8v zz#i@l*GWLR)Z$li++cjzhG=^H)T^PH+amAJQgL6tsMb~tu`wAe1?wYHRugAr<B^Xt zt2Y3qW=$vs?ons%cwwbH#UL>U6Y+3{s|SleZXb>fo0Wql<zPBG5rYDU&H*EcLKo5$ zX?r}qLsp(HvQyh+1Fj5@%{vUJatV(d>?#b1AR@S8&kn|!k!*VleOIa>r>HeDddbGD zGh7#8i}ZM#um)C`0IC}CgC<8m#lXPLgRAf;PWZ86Y|RZQM`L?<x`(B0+a{c6(@5i- zaDv;UhEQonTH5{?Yf`gsavZC%zKyQo#_3%9DVIHn*{6JTcaek85{8i*#GPi|sV|cA zrsJMUHehzf6|i>+6{TP&->6)vVMF$%8tqPv6Czhljs%AG8Cf%xG3f*9idj|N(#th# zx4e}~P>PiPI}O#tCz>n)CYOoz-Y{OtjGr=4i%<uGLh$%3T*}=U(4(y~R;Pc|A@r}# z><U&e*x^QV=b|Sm1xi0+{0G-D6>SAgH4B5}X~L6Y$#``K#7|fb7Bb)(gN~a(iCu)2 z>W&64vQw-pw$aE{J=Y0M@OU)1IP*Y`0efxQEYK*$?bYx*`!awY9}MVVCq5Yr-NQI$ zVfL9*lGl>Zfu}4MJIM)xjA!dx?NDauFC;jPZi7rCcn7CbsF{Jm*lC2!TL&;>8D07( zm#4Vk8yGb`EOIFDXxdd#f9alG2|!fuCSZIA5OcwC(vh5ra)6|ED4RW#2ZFLEfJ)}x z0YCE8tQtPmw54~+BL_)t4JI6VhH(a*#@bY(r7;&lShn1^H9z27jRm6{5Dj4<=4)5@ zT=;;43Yw9)KiMk#!!fSt3cR9cL52AOg9bdAW>F>0qA>sqf9d65xlv|>D9kvBy@pRr z+aPSz6&B)^(pJ1arOTobUb=sjgU40QrK3Fum57qYo`UT_ljk`k6QN-bxJFzj%uN~W zTWU-gE+%B-w?Vt|c_$+gn1&c&*VP_A-Ms(Me+lZDhbEb3dJyJJhtbi8MElhb$6z{y z_}m8Gm>`DTzzv9)5}{h4R!k?GC?k>Ftm#LUoY~=d5Z32U>Gg3VYgt^87lvzk_)&&K zXKZGN&;(E8m=X!e*<eF9`tC!wfV(w>LchTY|6bhlD;z&}tcC03a1G%Tk&E3>@fo5= zVaE=45|=&>xS~1n7`h7%3zb@Zm{KwFf{YI)I69%URb1*ta9A}rYr;bOEEO4H;CSMt zXqJpb?;3^}pZ9MmsG>q7bclJmr3lP+$H^&Pm`5xIhg$CrwsZ$u64#at2n@j;H1Fa% z2CsgDh;Rc_A-vkCUR*&?9;U2$jE@BF*3}(Q4WZaU3V-)mv=l4|k!h36CKtdr-=)k{ zf-c<ifi=Xka%a?s8Kyf7K_0LnBu$_|VKtG$c6Or_Vh<qU6a2jffRdWoi~c%fN}bXb zXrFp+3sgMgg(bh>jC;+X!`>J&xB?@Y0QYfkHl6``+>*qR1SX`lV|?TK$#X@S2(&z% zG4cR#tF5?KB^$CH>!QJ2SYT~~J!M8zNORfc3=2oIFlP*tjl(tN0B&Lpz}EK{HBu^Q zSwcm)C9?yJst|t-43xu8uKh!l0f!E&gl9LJT9XG_+$7}untsWrk3C_z$b-)<P)MH) z*7dPCo%i-29FKL8IGr19<p4$6H%(b`trk9S%)%>j{3U1uWg;RC)<+CfF&9(kS9{Pl z8;~73i@3shi(hJxlr1WBBq;|Ic1U2mH-d9goLsUr;O@JyG0G_}ZO`c)z!#aOT<=Vc z)^MHl9foEb=VtU!<PEwWOFjZg>^0G~b;Txa4p0)UK%XPfU;r>nNGWK5P&^bYe*gvW zkyeTP%mqZaOXBI<VK0(w3viJR`G8wTZ*P3e!%sLWMFH{7Bp~`+F0rr4QXaY_Y@u@~ zVVq&h#7rf~3L7<=S8w48?}F~Y2x7)jsmzh2t!G9#U|MdEnUI#a2jK1EeB6-1S{bMS z33;CpE>S_VVP}xZ8|_|?pV$RM%%4lBnG-q!F9k!ogRF9-uUMf=>rg+XK`jY}cLt9S z2W;?si+~M+4+spiSrKt}KJPT4m82V0y}PG<y{!qMd83xaG80>k4I}&6ih+9<*K=8^ zT%uVp8U7QPVhVEYcUW-If(9+1Sw0Jqgci%yh(%;sP&(5dYvjnzsM7`Qb{i$<rlSQN z6&D<)(e|OIDGm0F`8w0=aLF^n#O_)rPpzNmB4n%mgtJBo+kV{HPW;6-1jEh`{DMxv zX+52`X%M(oqvblu8LP$QzL}*-4a<teKJN-VE@wp^hTBxk$jPALT_b+Ln^)#ILLdPz zE_?jVr8G=5|9$;%4-%r6&UMm67F=-oC**Z)<vC{GKpIM%J#_tv{FEwM6dUEN9CVP^ zQ36iopP}$H+vE{5UCSU$PNDj)usyn5O9NhgZfH=q1jHUAIXN~5-Sr0;5K82wxMHfr zgWINAB&A|qg95^`yWojQl5SW-+WBVpKfHv@WOO%p2G=E7A=uxHiE_|muhF*n8_)`g zshy+T_Z5;?xG<ufGLvBsRynN{7{M)q<ZUGm^UU5NH>2YRR1vk;jSLZ&Wd&8nF1iJe zU5@!X?%6JMPweeso5m}#VWv5_BM2;XUd$jmdFtAx@0KP4b7al%a;M{S2?ED5vGU0= zE?M+DWlK<Al4$Df*oqGeIZIbX^Da+ROSkK_+umw~&Oj-k$K9ky_Y_oXMS|sdV8gI+ z)9)s<H12_Q3MM{n!tE<C{Z8{UeSq&svBPMdmixHsu)r*(Cr`fpAx^@mkK6^xslo+y zLQ{7EyKS-C&&@;(C%xN?tkdSS-0Ef3ApD9)8Iqo~r7Q5MAxSwPkO`NksnK>k`Gcik z$ro@>Sy)T?KVS}C5kkk(t^m#vO}q$d4MJGOJF#&I6l`^A)n`iQ^<gPPO@w8Dbq6ij z|1FD~5mk6|O2XO_58WN)$*Id|P9E6iSI#?=?&-xAiwO$EJtcofaL1A)`#b5yRwa80 zcI>^1CHnxLkl|Mjtlus8oR+96Dr4MP*OX!NO3-%%5&76J_yP>O&<<S9vt^Jg$wQd< z>vm7;vsJH?RMIC{5k<%i@wapZ*eRQjUlvCVFd9ye&zt%u;WERD;^-FM4xyX8(L@RT z_VsWZ!U;A*6F>qGQg<t)6;LsEUrfo$1#K6FP}a{!N^ZgU#>KMAr3aUaS)Ar`U@IPX zP_z{E=mxIP^!33AmXMFD4hZY#(joXlG2^Wy6v9Pf`}L5npo<S(yCX3@`>vjz%@*_o z^M+sr?p;{LP7YR|71Q~KX0jA9)URZ@6E9dFNh64rY00nvDA6TM4eVtyg1j7H`{W2H zqGTy%Xoxq!LfV#z6F^kUKL6WB9~<pPlin0Y8srX}WtJv(lK93&BCpDXd===MHoRqv z-N?eRhZc-3%!O0>6vN`pT%sOX$D8y#Cre^D0)f_FpS3Op(cK|5EJR8TQ7$1vW+Aw* zQvM@CbZIFNLK8_&-W?35Cfc*WFwrct^~DVy!xOQU<{GmOQROu$2Sbz)U~0Bs=}6#r z)*g<vKTx<9NcXY@Ri5tA{p|@C6V#=B&D_G@A|n%dDlTYl>S9!Hha%5U)WqcQCkSO? zr!w)=6{rEa6QD4apX&qiHOA+}GEut%Z5y-<%-C3OSQEn9<Ox?I@u#cw*UdratguPi zMXYWH6s+DNY;P4jgr%(;JJ?v?wI)W113PpotNej&KHKj>OFsDSQlhjnl!={c-V|oM z)qD$##Z3DS&O`e)>@C#Ny8IOvUQt;rj35g94J#mz-LM##MjbgLif5`+aXg#2T0zHK zSh9JTDXj*wh@bqj$7D5Spk8RvH<z(cG9D$73tGrSQcwROLjrOY9bU{HANn|ER(OTt zDm~aiLw^tEGL4&@H)_rkPf7i>2WQ(jB%#ok@g?Xr5HZBCFd)$)x7@uRbGR1uA>{x7 zUMF1|VE9R7_}PII)EwPmD`;wZOzpMH1|~U-_{6qxekh6Q4+G=&fesr>LBb!>N0vnX zJ+ug|$&jF@-n)V--N1<G%Tof1hhv+M#lq*)4FYYM*s9wNhDc$=O2*m#a8KLJ?D6op zj(bUq7<bKaZZLr_tonFYTJey^Cwx+?P!rh!An9aM^M%f_;V!v4ri=!$6SET?Q^b~f zj7a@l7{dM6<ff^L+R*7lXiF<@<dof4-s~X>1;gqniO%a#7{|OMYM2yg(xVMBGrE!a z2EE7SgbW&9rv81@n=^W91&ruY3UUvsl!81Y!E;7(hf7|Q;0MeM9E=|3c)#QZKAg^J zNY9K@yJ)jK+$-mFkH>x@zjz4rk`g@@)*a*ks&+C_`$j~ohFe75vHR*>3}?}9bky2f zAX_{Ch=$f(H0R)jrhe0pYKZ|VO2JprT*J!Ly94DEd=r-|yMiVg#v+@95<Jn0Rm>c6 z+6TLW>eRy+473ysx3alQf$8AhQ~&t!_aOo8b_IKzu@*$fYmr4GdDI7Mosz$lC5Q#v zN5P|GSSaqZgfSnvfV4>_J9&Y7UmJ8iL;8PC>dhzt2I|XJpZ>WGM}C3mv%p&Q<c^9k zg@f5A@fRM^Hh9=#ja(jj4A%@7{%Rs1GZuxdICmBrv*ZZ+3>w8jc5JEml!RpnQwYzv z1_lE;2LtXSa|@P_#jD}5UBn9;_n#r;V?c!L2HKWK;YLz)I=qSbVsX1d!Z)}}*PgcH zu(`OK*21=p2%f*Fy(7T8q(04+u@1nAT#{DeB$FA_0Tcch)$<J9ZMf+FaTi-6z{DY` zbYAdz)IouArPeeZNzKdp%|7&_KgG`f4qku4-ybEQeEru_IJ7oWjjG)ED+h%3p(Bp) z(LJTW?k}e$J0)SlNw1reZEO&Rz=tzr1ndxs2y!c!%{w9Puweh$vIKPU^A$vdhK|ai zM9>=>1H|iwXL}8e^}?Q~<@kr5WHOymWJ!esgt#%Hx32)A2HjbU==JGuuzU`9Je;Sh z&A4a}@(i$w?5UCh{#X;+{K_0R^z0ROEk84)O5Fx<F6hk+-rl|Eyk#{D<ON=6qmdU7 zbdRp1DlrBI$dRZ~BA-nuiaFNe=W=J15PH4ljbDx>dzq1!0Xnq9hZ}TH2RA3>Na&us z87#f4g(F^AHFAdtqh+WB6qh_#EQ?Gp?o8|SAzrBs*wT5;@Q!W#ItRe4)-suxCB+O# zAG^l8-3$<~)GK`P@fFLJwpMT76SXz<CF1Z}{DjeY3yV`aIKlATh6Fel9k<CGH+|b6 z=*FN#FsB=5f(x1|9>qLBPC2MFwXOlFvlR4#a<F5gz)T*W%mCDwsyB<6as;ilCow<( zen28zp-O(iL7nEQ)%Zu}?!V9xRO4M3jEK&$LKE1at4s?fZ?s>mEfk5!mN_GBub9qh z&5`jRvMZ=P;+3nQeT;d}*sctWu^r`+@W6=^%Eh%?7OarmEag0-w+#GPo8bmU3tHsa z=tXAIMW@o7XOU#5E>a2~szfc|qC)5i?8RG>eL$bx9j=SD$tB--*>lOR8vN?ifKVZJ zoLZ_#@UETSo=WEe7Q-^Hx{`5|qW1@-d&Ke6a#rHw0K&vo>Pw&+Hgrs8?>l01vO%r( z>+pZVKIgm})Sq+h+rdZ4D+&|sQH`*XuXvMKDs~wb%16AQgTump=R-k^pfpKWPG~DS zAZDKSpcrW>0Cad-Oe+Ou3|OQb)T=vq*dn;|h>H})r!&A}(Z#vwcaN-oGn$TA;t-7b z6Xne?SGPklhM5rs9lXRdS?HP)rtk>`Jhx44`nvNyPo^a5BeK3%i!i-e{Tt2UYWnRn zGvhb26wno~q7~HzBCSsgo-vI=Xue}E0S(av*a>IJHhb&E4=%u;4(D*tq!(7=XA!?m zm|$Q-lYkbWT^%l9bp#7y($Ut43y<UQTymr&Q7AbGE~F_E0H<`xQpl%R{ZOw%B@HrZ zohej=YcRY!u-<-Q`&vNWIrf$N_|+Z!z;Ofmd(c_HsNraG;DRvGi{%kCBHpMfM&C|( zX!rGRn4cG5M@?ET4Okc}G=hw2uHF@-o1I+h$FijSHb-|0lgXg8@tGW?6kOZebm_my zK|xnQe4zdW^N?5p0Gd}Yb{@sM0{fU~hr1k9pqaUm4{AhUwi?#S+8JcygBtk1R#Yx- zu}?Xu66dbDD_b@T8`lZT0e2d0haJ*_CJxi7U3{=$@SwESBru``1GR&Ie3Fz~5CpeH zSD%X$vT74X(RYiE2n^}`$c}7U&mq8U#`!z;P^O3|0HPq2qNQi)k!hCE{LnM>eN&Fi z<h(nO@@XMD{}4zH%~xr`0HOvvDk%jy_I!!7U*7SiP!;pl!(wr!b8(FpqO=d_pTzJ0 zUIp+&vGm5d!i}XQ4`4aQ2c??Bdh2ov%~$;4Lz@~CF5vC1q7%hVIBqF5%n*JU6VpeK zi*YYDym5(REnw&MO(K{`Tk|ro#nUi-Xh%tOO;s?2O(8@2Fp{+l0_e>>);7mk4jdGm z_9xZ}Iv_M)1sz>M@!`ORg^Z6@CLXH|$#KQlG|q59YoaQuMZzb{zVC5^n8iREM!L6P zzh9iTC7ia5txDPg9-#1Gy<ofa>~}i4a~em7fys<)V^G=}(M7tw=>TUK+?2`@B^%^^ zpws~#(vkolch6I|q9q~g;5|0;d$(ocL_bn9m{LPRov;k};k41iKXz^0GIj=&yT&&& z?1<aR<LgL6aE^F87~L_hr*J0%Z`eA78A;^ssk5D<1VL{4!~@A`6+xZBhUiNcR=#ds z;*z5l66j1>*0d|NG@~c>EX9fKM<OeAiXaN&bvK;N@$OX6OWgZpAh0GIMCN&-#g-iB z)u(nT*NDO(iIUiU@u4YwXoyYB(2MX2)*o^uS|R<SBmNbSk^||X6cikT=jIbM*&=Ki z5bD(taEoB2Ah8tiVPEu2QO6HfK#6sI{A34w{0d~yFe(duSCef*mc+&pR?6Xj0zJxT z;#p3DQ^8qjVVJl|7=oKAQxC<%G}W2uE)en9;Alj5#gf4}z(jI}ri!bzT77V+ket6J zu}VKHC`bn<*ti!D3R@7OfKV&uKG=<Yd*q`n>1ivL;HSizS|Mp<B9tQ+bo7M*1ox+` zelGc3H5fo^i8V<Hhcx&46QT<Y5gv!UzS{hn!v-mlXAU2jMcZU!^*(MS<7<ZPFpqTy z)~i}MK*ppi_9i^K(-LF?lE#VOyJ%|C3O1sSyJug_np)5ewc(2ZGvQUXvQ>9OIl>#p zPVr@XROKP$V>db5A9th18k;_b24FN()a{g`6&$|~dji7>5YK%L2~C!XU9f`UCta6} z55H(NL(4%6N}l5gU9f}c`L(A0&M3wsNq10$$daThsIgV(CX{(@g)`Jd4IRRSgAerx zZhwOdZ*Dkavsw*I8x+y8wV*z-+S_Tjla0Q<V9J;oDntO2OOk`#R1?y+3PKB)iM_$= zV}hJe;hM0jh~=_muNE6)CkCn(p1ZKPfwN?Xxx?{K9TMFJFtc@cLbHNJhJ$VzSB*00 z9m2$EozaGRD*2|CcFJyi#U-v5o&>xzFoJ>P245!nSTY0tamfh)%VEyXre*5(dU$Bq zq+A-Ba#9g#uIby_B}NCZS8myFW?*z@|3)*_<jCLbx?$orqAenIEzy9ei-d81B#iB2 zdj9=<(a>zh64lE=m+qhi^@`%|47_sC#mKcu^C##=?K327IpI1BOkxFF0EFx%A#Wz$ z<WLV0OK`0MQ*Rt*2Y@?Dcy*t0uz~^a14ELC_YDPW18S9!e(EDXu!5<9jEG?Z7In<e z-K32B&WTQP;--yczVq}KNOEm>!l$_y4HF)-NS`ifqOSP;M!XDrjsUenomb7Vi3GXH zl1rBK_t4`1Sl?=ZRAkwTZ@Jwv&#zKOU<DrUj_qWF9}Jrx^JgPdd0(DnF*LNWMoJ}Y z9dnZdNE2QM625Ld=x>EHYekx#h#U9`b>@4@s)2U=xchgEyBk+>(XPO`HygwzL^?35 ziLZxCOQzf5($?g07P5!2fS1((dNb~$j<~W*agRIO1Ck9@_ea85?-*4NPW$GvGI&vJ z(r#YTkj`LT8x><9Zsv{FpO7R~!3??#3BzFkLWTCZm4zpOgM{=O-8ybDL!2@wG*L5F zl!BVYyqa-jWGPeQ)x>sNB(WCnP8)5uoVfHSDFH=7TbT_92w+YCQxif3elxzoCJ)LR z(U$iLaXWF!36b(?Il0m_Nd==GvRjnYNd2q;D7<Y)d}?_8XSCr2rP6)#I%H%+|2(Dc zm|7o0yN0ku5+sX_B_t<g_9*NQz|QQ9W9~?^^zI<!pN{hF=FS0D4gdmYH%R2jUIj$x zA4l*hTLltJK^s4mfDKrb>8F)%;|TurGILe)Q7zW@_Tto=C`y_Iu_gXOlcx(vq$GpY z3IEs%Vmey~0xxTXyoRDvrfg@lsj%RF;<Xr`&Y;~v>laQiuk!hXin)knu?O=|?2*Ip ztjKb)!u;H~i&L1%S_&qP|Go&woC%)j2&z2#H89*|pv$sxGyA)J$Ok*j05?-mX{;kg z8cY^8O%rK}02tgmwRm8jy_G%m)*jTj5bHpNySqCtH%B>r>jVtKl)jC8fV!Nk^SD<7 z@(@mQ(}T^NDbwPR(BY`w2rni^nNv#73?_`Z-cp3BnGww9;AvFg=jcynjY^-IY!G_H zJZLmA+}16=jHcFnq1+CshP2VOOhwi+L!8y=#_1+IGh7j_xDU1Yj4UF;ACI$<7x4Nv z#Fv}dUAVz-z=n*Pb&j7ui-Ku`p30y**DYC!e4#~PRvB(vA#0_XYQ{T2Tcl=6tHVs~ zDR#)vravLi;=nXNxIy{ta-^c=N``~KfK#BuDrG>}h)PP%jBFcO#0e{8NarKP$y2CC z>G~WS1U>o{ok7Fb0${M=poUJNk)@b%b}A^~a1rrXwgr-UVYu8zcR<0*5_uz28xIE- z_0%;?G-_UAmZ;vT6-wtdBhsBs&49h@5MFf#&wyN}3h@7&mqKa42tzY8z-E#GVDpE3 z14N}@ZT>`%Vhai5;uMP21eFi9;DHx;+gts(8&O9TPGeMg0$^Fi7e!JWGj<u9IoD0a z9W#7WmnJEbinKo2E1A~xBb>h+NGS4{cZ?9>#B4k+V+WnPe-|UB93+IvQARc??{OI0 z*{Y9=qUh?J`cEtv@sB+gWrsl`jqlD#%gdK*Dz;W^xyXxc2r(^KZF!XSCXyqk*5jGC zD4N^Hzu?YPd;%xfA0>1Du$8lHQdTS&&(PFhiR_Hz&toS*hxY<ep@Am`gDwMt4hqTt zvA5?<Jj#qSOi3`Xf|jD??mJ+i%-4eM>ZBtbrY<RpfRcNU;1!H=madI*&{l*-Bgs87 zL>5AQJ4mH%O5hO|0ofeY&+ss(OCRm*bkLv&M7KDhhfM`jgoEi%u!VAjsvojbuGoJb zcFVGwQ6pK|uFx9EmYkPiC2V^@oR!nNPotT+{W?2?CPK?RWArT*GLsFQwc*8@-(i6v zY3e1^r9)WIG&yUTeJZ1L&?z{betoX$B=KafYVM+<+AgTH5`bU1)-Z>kbVZ{l&Q%Vg zf|*Qh2vcZ?zto25K~0hxmOkA9z!>gNdyYtq8JT#NHN&APqiQ+N;KRYV!qr2c@ciB| zE-3*jUdU2&Yv2YR4Bcpe*rY4yqDANjFJKAau;5rhtQh*I9I#VJ@{nnr>lsrLt;i{+ zu~4JiF%$uATgc7{P$KkiPplazZ={O`hJ}n<h~L;*4yu=fFg@^j7`=Rk1=1*S$_w{} zkVIDc6?9Uqirk<&xJXu0&TV3&P^T^?MI8&)Eixqb?MMuBpVWrFWvnOz1-YY#c117y zWzx>V4#}fq$+Byr6d_T$kxl~}!a@3-c*KB*WQVechtQhBBc9v?j(h8vt7Lh}Ra(lO z5ER<{{-MmMH^J}&=TJa}r3-nrulUpq61T8)IV{vzGR`46tw{!i3X7Xs;(Fl3Spgki zP$BNYoxeWvMG7o}&FiEJj<P-xOX7rfEn(F*Spk<TJ4H(YVZ<zagGNgV^kB!-V1C5P z91^~=q$I<_R@kt7x`K9m>3-7`kwU=Kwc~%{-biYNgmp}-aWC4Srg;$Ma?SeVjv0<A z4xuK3r^U36vD|V&%YmWgXJVKL^o7=-k}nLP%DqurbeDC5JXw?QD$uj;i4hj(s^iAx zrmP5?$dmpj1%M^`6GCOWjcjDf^tk!gm<3FbJ9`Yy%Y=hrqb!7{%197peK4G*?U;2M zUIQ-&ECuZ&D6HNcJccDU+|(JzOrxDFOrR33J)hb5i91~qu0V;*Ci)F`FzO2K1a#~? zZTZBlg6!nWad8Iy*<+ih7)&Od;v!u7nZk~vVk6m-$jYldyI!Oma4sH{E=mw`&B8!z zpM>RfB~?f%7#~dWD`i~2#mpsPkaXaHZPfU=osC!ynlKNubO_6+tv56Iix<=nj$oaG zpMC>jBm$-7C<O&ZGn`Z>6neRQx`QO92lVP@^1{^}K;XXzphVW52}-~yG84nEt^h-8 zkWExrzBWK<JA-00aLaJN6B&s52-i*E0d~KpaLVperi|$HN`)md!++fuX2x{dx47xy zB{)#oF?oY2N=H>gUZ(9oYmlC*unjBd;;{I9JgT9g6{kHIBwEa#4QI40G6H+Y9`z+~ z+jYjVxi?DwJftj`LE?x|C%=@3G`qMiPV5qR_6I_xac_m^|HN&hR&iWJ20YSYZQH`m zV2TrchZPdFZxx(23STH;V_l^e6?YlrT3Cx|)0LG%Ce8sLXe1qLTKk>Q{``(tlKICw zf%)4(oeM@Yp>2|(0?T=KO7G%rSfv!)bff29DSS(U4hjHxK!?BJg`Q5Kp*zUTRncx> zhdUZ=<y<#P4*HJF6~tJh6bzJuA!e$KYlEpy!7#mfOtP1QCtyMxzMbG}nBZ(QWqh$| zK3qyODw}!+d9yP^>()ldY-R<m$cV~DSKADlM?Rz)uX5E*oBmeBNE05izDz9Kl2CFr z;99H0LHY!=lz71{S*!&sw_<rXSAZ<^hFMiui8DTK1TWgAQCUKaXm0p?35KwQwz%lB zD5L~e-fbxd<Trv_u_3vkPqR7pz~FB((wzSbSC}<CQ+t;ULKwq6Zbd<Q413qg=~I1{ zXOO~1^NaB8GOXcU@ctAdCMxrMP-wqnQ+}5M-6B+>7>&y@J;WcIFKi0$c3K{daa))y zm}VZlKvjx4*oFZhq>EP&oxl(*p-VY%D<rhut|Ur=8)RAQ(yf$BMyB^w>bxYd#|a2n zw9_rEVOyK4bO%m6E@6P!Z8KnQ028w?9n%@AzQdv&+~Ow$K3G3BED9UANu6%UJ-k!< z44qGbm%H6-?6zrRNx3hsif23b?JYET2Xq&w62A@tYwU+mtG{D$mL*{P^e0tn#SeVh z=*W74<mes;gC@o>tq>X-*TVG#%T3I#GLUE#zar7YiGp21!OFZXJvmuu{NrKMRqVhD z2$vOn`^{i58Vh9!5Xj!UoVV3+g0QED<8hXnNw&5~Noc9e@8x=UWVjd=+yX`pI)vK| z(1L!*kT9ei{K5*Rh!qrDEK&~ACz-u#DZrL70nBY(U_|W<+8-x9b3jNR9YX!ojV|Rt zw+&V%9`{Cd+oKuFF~%L%Cc05j=6Cg`@CiemEVlhgY>|fOnDF9)8bGDda}f`~DKNEr z_P}VP2Ow8t6a@Srfc}UI3x!Zss$2IsHbW>zJT{Fs5$cktOr*unG#n}NzDwMT1}z*h z&Q!Pr9MgjZAfJggBO?5Kf#?gxEq6YKE@YCiW!cVuG<!%G(IHvg*|BJZ?ZD$Cp3Qsi z6fP3Gg(;EERni$6N&#};ZJKD|nn1l@QGbsek%${(?wG)oUcSYKE`P%8yyW0ady;g* zx<<k%Y(S_IthfT%^7OFclrs}IY{6n}2z@;7Aa!xw91>qwgl|w}P)M#+GzTz;4YLda zYK}NQALk`%emru@S(s?Ij!;4L2;LdYU*$kF2ueOqA7G&!$J)CbM7Qv~pD?EV;uW~N zAZ7I>bfX<|bC7(VNcSX`NZcTc_sI%(b@#f*VVr*1H;HE3VZ8@;G!rslli%eqZiXoo zb_Mi=O+vU9HcTr)xjJ*ea4((5HYOX0-+-klEKZrS+%}M|?)PL5Av~_~%cch61vVsr zgzS4S{>pTdXt7oBJ0Lyl$`lm@_|#*9t&G+0gq)fh!cz)7o*<-+Rsx#u2gAZ-<If}k zS-0?bP`IZQ5@;xq29(F0_3VL+6+rh1XI)s1!N_Z3`{W61@i@IqRhd#|2J4LaP-}#2 z5H03yg)4HW*H^H}I!5+tk{eq*5AlX!JTsJeS9dTd`K&*GLx)3B*1lnjHx23Wb>`PO zy}+k#cG)Iu*(8Ko@wtzE{RJl2*9RW+^RY)MuxSAkR^@803phiUupA4=POD(LadNfL zk{BK&Su%oiFtYfkCP0Y@%eK*kRtwX8*DPcnISCuIqe^!$%*ZFQt)|G4>?N?J4mr}; zelR_NvctP<lCoG3*poO6S!ZY(1dRG^h7Tz98HL>P4ND4=tS5pbwrO_kZdZd#(BY@V zJvt&opFk&In!?mDW`s<b&c5Zq?dZ2~4+d?-wpgVVtX?)c0>uonl#1>w=8z-h6#l3j z@kt)cGDNr)5H@gTuU#WmuJ@q(c8u{@2-*L>aL-;6hPCkS)FoL6RGWdr#n*uwYiyfr zvoKK#er#ZLX=5@#%DN%$MA02wT|sOXp5GD7T|yP=hifqZ7!rO(ED8UJBA`AnER0K& zU?+W$cw9fcqxx|`(;>mMqt+oz?Fy#X1!Ldt2*&o|V1>C1vsP$FV75O)Y}Ka_55#qo zqJ`rW29rDr$`142LtBO2FgkpNYp|6ks70el&ZZ5Q*4uNQsYF2GL&jOCQ;f@w0O>9O zF&}q2BMEzqa05>*LVg$8i476=fyy=v&EDB=v^bfNK^sNBhK4qSFxRlT6bFunu(>Zq z8ffALc1Q(-0le6JS3KAqR2mTNSS>h^fPKz}IZ^5og;*SBgdC|~CMvFY$UHx?odl=Y z5kS-+xVAQ#%5$I==n76%+xo*K6w9)!YJ`BX3FKAV=!nK7u_|{2%FNG}761Y>-&%EI zh7Ssk8<bCXFep;apU{LZxhYc&-llA4HEm4|5-%K<{TkYc-eSpkTC5?;qsCHDKG;C{ zlmiX~+7+-IOm+p!+lP2zXDk#w-Vo=@%RzyFZp_HIE;D?&-5HHx3oXK1-9L4JjGduP z87uNtdpHNW_IkqLE4PR{%nL3?TsAvBVmis%&JZAGwCk?ThlB~awCDgf>=b%+Vy!tE zK_InpT_o%ahl$Ft-$5w$La_QF?BhBaT?|yZK!*60;I;I))j}C!XkbjsNNIriL+5LU z<;j&@wIJsAEc7KF%iUdzLh(Ff+i;xXHt^M6-N-up+NDga887JELP#E1u)4C@Pzz^{ z4GPKNl)a~$1D>h|T;*|Qp>whXaH*IFi;`E^B}|u|8#y6EhE~uOHSndWC8h}zjf}kv zOlHj_31$6?6^3LttNoE`6$S|#_0}%Yp_La_WjZ@M1H}tEOF<KQQT@P&`NKwx5@4S% zmVyy~k&~1H3d4kD=h-4WXN*LdU2xbQj+?Gq>H;55iDT;M9xIlEpYFh2^*bqw;;@(S zwKBk?9<;{-+)l?uUKf=ia<(fxdX){`AcpM6G}IVDI#cRl@6#xoHgX2>wevmBu$%Vo z9C)k{=x^9tSTyFjnbW`9bDX<7vY3Ih=Q06K=Lkpd2DJsIO4GNrR>(}3v5JQ|-C1Tc zzUHN%#BczK-(&9#OozCYZ8-!koqkg-^ynRKmEHHnppH00iV9WB#WS`CzP<q=X2_PR zrz4SQ+;HPkMe~q#cy^yU*Xmc&IGOpECBup&Q}!)c6HmB5r<ZJJ9CQ6xC8v*Id49Tv zAvPzS8p-;RG$v7S0y}ws_))teirF~^$7%n&5%{tTwJT7#aQLZzj)}F`h~*tZv|ckh z1@8`ML07=&rk-GS4AAPE+CK2%h>s`Zs{m(fsI62u4^HIRK05i<6nZYL-_2n)BPY}# z5j!=pG5=shT4ODcJwiA&nGvsE<O7%fv`TK|W2maI$FTE5vz3WbknNqxhY18JK?jR_ zSh)-qUHzoEPrR_Tglv&J3>QKH4xv#~1|h16Wup~p>_*)?s)>zh6EBo1*$7y!0^5Gb znU8;nA2zXU?K^BJn3czHEOZ9Q*2HzPx*OZs7_vN!#V-FMlRHw{BOzB;FI}{v=xdvV zV!2MgxSc&{oI|9pK!hh?!L(gL<0?j?fYB95@Zx23kR@Mb$$&6~!JOC?s41fOp15_g zfHcQJ9o!5^lrSLtwIt;6&w>+tzb86_=Q!4$hqercAH>~1eLj{*VmmLaYH3%F!P?7# z2LB2>b<kxz15<LAGSu&&|DHoQ=xoK%^@;C8kAJL?+#qv^h$RK>sQ2iyJBaHG?4VSk zh#y-bAnCk<-34_A16bt56%ET*>TQqHetF+YdbFSPDCoQ1p=e-L<D>72Jv#1FkF)2T zkF>(bxqw~Qwz&PG({41gs+Kil<)FstBtzMm%XCcJ;)jww!SRW}@FeL+5~sx6H`Pv3 z9JO2+wS}q*P1``UR9{%zu)7q=5}g;z)&Zf&@h?(OcdWw;_F{d;9@$<KvNzC=Fnlv_ ztbM88?4A&1f1WPVeL~e-!eiP?L%S2${L#NOP8EX<;dvG*2PvFsPV1RqcsAG-=te*Z z$6c6)L%0R}{;dOo;)vgG?lB}dl&Awk1JGSl6kSGq>?!2{xfwnzj94xXi<*5r6}T~@ z7tS+Y3cxCCFlCw@w&Mf$orY1RfrqphC;M?g9wP{q6Oz~kiS_a5CLv)~=j_?>$3G?j zu?Apg44ZHhKg@sQ9$7&?OT|-5EQiRDbnG+y1zyqP!k_tx&Ek~R0trt8??jFL4_(AN zlV8{susrr9@pTXwy3BEWJW-09C_Z78mLz|bxTE}IX2vrgZzW)H8I;AU;he;dU;_+0 zfyj--mY>^%&KtT9O~NtYI>u|OEF2r-yA!H?8-Y6>d|CqZGOTZ!?*0G)<cLXu4f_&D z`SK|Z^+Qt>x*}BJ&rL_%pS)&5iY3ayF^(*@RoI0agz=*b0A&*X?gr+k9IR6ko)`+| z=ZA&yf#b8hD6i5$=6?~3P7aJm!&C)3NaFf613nz|aA2f+LqKO~PJlZtM}_*VVLFA@ zlmU$<0&4U>frz1H2}Z_Ap4ddXrUl&mPLJ+}d&|IeGDp~$4on*~W}RFOW2b(&TMKCU zu`of-!NS~kenqVJywA<i-{Qr7uB%h^ISd-SR=+^cGt3ZLMbAbqMWv6_c25|e*x}A< zC%THRsl;j~Xo>s7im9P7=HPIC5cHCZ{wJI3g&mCll7gU6igyNX=FGV{ZG>(Vv6#p^ zI)NgmnE*_cve7tXHjcD47Gq2t_fXdcY9f<funeeS-|@I;|57)99o5+cwLcuzt0uE+ zyU^l)^hIM6$~XeB=3*+}cR|>F(-_BIkG`OT=nOtxK^2@aUn*xeJ@cz|cwF&wNk=FE zqOxdHtAf|1sY&AYjlvVtLXAapqjxT-M0MXz;j4u4^~+~7-c1e~+Jbzsej-&HZd?^h zMO+&0S!aXujPw#};3haJJTGTJz*3rXAO-%XMif(kSd&wNXTD5=<8`$V8B9I{JeOC! zgSkCIvWu*M$yIW*uW>4X-2wX$6IFtAEC-MV&ncy$h6(BJ<SBI_A@pD=WAEjLL^LyY z`Se0PS)3eN04pFekrr(q@gKRkf%NDM?9pLE<llK%TKS~5qif=8*aqyO=yKgeX;v`z zsZrI)VSnm|#vY%#MYFVod{C~fV?c}YcZDYT3MhDIppk6#V?@hj9F&9AXlOQ34z?U~ z)g34rxZ~sdZw_pDzBoj*P%bHSgtxA{WcpUO$@-g7=8Xb6bO?)?5IG$A+i;&$Ge|s> zLdNh|MYLeI1=}o8hJrg_2MZ)w3y*ab#&}dL<22S7rb*-(I|wWt&)8gBnFMPgBaRL1 z9SW)m^3$X=C%gIT+tXOJ&jou5*ij^~bsPNb3J4mmnh<ct(qKuW`k*$Y2<fW|RlEmE zS~CC#=3!7}MG*%jT3B=1I<L#X5Q|5Pl=XncFE^>X=W?9r<~RXY6%V~l?6HInoj#dN zATE&6%$)SpvAM3|@$#z_aL?6+oGjSFSvq&vr*+91<(}NVlmP5@I7GJ+ilSP@@z_hj zl5J!ElnHfM*RDYIj+dZe$Z~Os@Pp}daI|g9SnhTc-$=7$Nl*-7MY;GsqATbU(z>q* z_b3ZyulD17{3NSh&o%F%B<p|?dxxt!^R8FK{GIM#5H=(;c{rBn<)8o}+*!&276QwZ z^hS0XBLM8$ygN8}{c3Uju!~;w!UT8cgvY%mTtp(;LJBPVd#t`&^^|shc5`})qvfh> ztSc8>oi=yG8E(iuQl$wUx<gtbd9vJHKoyoUX%clvtdQj6om^U)qx2NK@tWgqsJTpo zhLT-6gbbe2<)lcaZuv+a%cn!=9u95XEl*=4#z-Q<7DpCvAH6}Q*~&4#!y1!rXL*Ms zoWHeEPkmGC2y&w{b`r-7hOYo;8cA+$Mrg6@gyuFUP$m){9O8u5<>)I#QM-i2c=vA} zQ~s!$o7f+1*(x-=0mok3$Zh8&zt;1){1?lBh2x*&`>;cN0vE_q3idD0BxN@TX4`qO zY334{95ryZGjL~|C3>LHQEt#Je9FX-J;2mA3odEQ;aNZh+Je!yjqb@;3T_P2(OQfw zi)fskS;V3NEcbIs4=d8=jC6aa3=PG(>44^Uautb5m?l{6hm3%BVu6r9F?n`#M7C#H zV>occtD`HZS%R%n__kB5OA)4b2}wRu;Lo$rSQbbi?GdI&N$3DgnmdmP6!hLa7SCG^ z69h7q!Nc%=pGnHZ7|~j|2b+7jR}2j;_<ltci^r-l%^<kB)lrqD>nEkX$^tfC*n+o^ zDcTgVbK06n!C^f?QeOpOu5^_nRlx!jE7%fL**{?m3z2P?!lC^U>pni5gDknM)_R#G zMYE93(*eA(_ve_WIR3gT^m4!sVzLy}Kg0|5W0qJiPm~B0=(_6FcLn<!*VBT4yO0D* zn5ZJ-ELICMWQ=FU0LC(CiLPN9L&||oq>tf?C_sJ6EQnl)%|?*;TaOH<LKkSDpr*Y~ z4&s_XiUm63Xdo}~PzSoZ`aEPwMIs>`G`8)9hbhfWdz}P;iSFu&S$9WCAYxNdKQ2O8 z`;>#ijpUA2f@h=WD1po$>gXB<Hu+&f8?nlsbLOYIdv;0;4(t}HGn*gQ2m6clbITni z*hv-71!@4`Ek<^l3_`27fi=f`_eD)&WimXY^>GG=^Rbpl)zBGKF+#`~BzaG2v~#KA zP~@hFEC*lVf|i8BuAtwhsxD~Qze5$&Gc|XI5iRmQfzP*50!}$-cqAzUQUdN$F#ijt z^4BP_{ZctgjcqZudGgN=dvRZ1fpxc&S9zm!9xJ5waYLI@7Q_yzc9a8{pEb_P!<cm; zWrPH}lNHp1;>v4<eN0CQIVfn$K84#j#sOdlKF|h`K+ey}qnKeM1|*^`w^Z}<vCO0H zu*Nd^1zEiR-KL`j0ORE#MKeqak`uv7Xcl0P^n{A6$GhY$1lBQysx!*BDE;ifV~6S< zc{A?;uc8#(I6@a;!!RR=2oNO0zee!L@eUfFBOo3_W(H`!QT96Qppf{!xXS{TdRtb# z3UY$qv;diMA=J^QwHX3;UOy$e1cR4*4N`64f^bGDppC~B%s4MElqXUwC4Ip&oQre^ zQ~Xd;<i%TdRg1LkK4EOIq!hFpLpVdhzQ~1w6?CB^>gMq;ceLmttfRhMcvN4G8(QDN z(U~affQ#sz^Tf2k2=^%q=oNlA4INZQ@ZOkiX7#wy-7YbWx|gHKkNSueUPg3TUvOE> zJBG$$`*Jf;L6f`<2<M*EnY$Cr#PdT&2eruR!)YBlh&;6I*tUVPL&|PoIt1`Ik;|Ee zMVcA_xa?nx{z|CBv4$WwX-fYlqEkA?F>IcAWLsb_vrXXJN2_|r4!SUxbEp?3!VOC2 ze#2pTg`=RWT6<VSIjY_y?5TiD&BV{zKGaQAJ$H($fzMivoi{0ALDSVhgLa}i`54T~ z2+h7-v0e_C)7;|EbxU`kUBYts@VO$~y=J68B#-OH4P3%h8AeH=Shr64<sY3pf0qs+ z|A8M|Jf-o6nwg)spF5{D%XYz_L{ZI1t#xiaK->=M(Ih*yOF2l;WmMn-=lEAiXq+Ga z6HFGldAK_KPlW6=xh%ta(*?;Z=ESN-0Q6q&P42Jg7$-T9_}>=M^6GRO19m&~fY9!k zJ!1h^8f!c^I57V@V+67PueznJVw%G7en)v=-&%D#(|vp4581JWBvp|pxla|cD{doV zB2R14L`yxmiELph4cvg6h8PmMGZY^uB={|~-brJ}A&#onjPuk2k2@1O2?-g%KfUYg zkg&xTuLWUMLI7t#sPg-j5`o#w8XYiOt&F_K*XclcnqfkNZAD~I9zi-jJuH*h7|^KL zK_zUc*rUX_JBFa??Oo(ciRH1&N*8N}3GKlt0UaN!@DG+O8N2Y5u5VDPk*b}O1i8kd z@yWY?xb)@cR*hs2r-@BAu(xfu5W7xFiWl|j4A$p!LWvdSz--##e?ps6D2OH;z|_~h z;%44v43t=m*d4H={iIVKl@AFZxcfHbfX--0W6dy#JAH)cX&O1jHY?Sa?nkFUYqc6w zqsRH3&Y>pIO^lJIt25B@EGD%v7e|4)_7%j}9FUl9vg%t&Q}wPenx*cMpv+V{(H8VC zh4p}0A(3*XJd-R2kvuykHgF9cc%v5?Ve|rA)<qjjh9oXt>ut#g8<WQ~tbI#>7j=OV z(^CwWZiqJmhipCEB+PO_s+RA}`PAu~x;{)qF9qd8NfZe2QbK=aOGQcnG&zROK*X@1 zWIknJq9l|*n2FvM?9XF<!W8m{V{pf}J?2VNLQcaA%;PYdr%|~1(C9&O*@ecu7#`0x zGDNu0?+#%k!48`EpNuV$?sN%2#c#yba2u_VA-St-=e-!9Lfc_XO#14sA)Bs(+xH4% zR^wYgmX89v1#$`!2I;&7pNCHYMN+*v?db8l9qBX(zz!z~S$}gbc5I=M3z}qnYqE}5 z!WiS2vVycx=nF~eh-<2o_)SeQOxcpxq!>a$)(o9}8QDhf)Rv_afK~GGyvUN@o3TTu zRWji8b6=rG!-c2$wmYo?FE?tMFhRvQi)&*6Hl-fB?NB;1mE7Dor?-{nU5*WbV+Tuy zgDvHtt5>RS52OoF5rbQ<?~e^qR#&to5<S>h7Sk>nZt#|ZEihug$jQ%d4iX=+Sx}CF z`6+dI6gt`FBa;YIE{(QOSKk@w9%Hyg-xI`hZfo1eO}*Z5qL%}-X=mxYp~54nxJf+9 zR8C)x2-VF!as&3*@N{_%u)2};zDu0)o?^g0ZVDB<j3jZ?B}s76_8?00F+d9Jr0TnR zv3f4>Kw&{bhD82Uiqn#OUqdtOPhYlgl~s-tMw2x}iE?m27)pP6hFsmd<F+|4jjbXQ z$P$SRPK)v2z$th^isZtUC4Q>}{?-a3mS&i&Cb&N{fRezASN;B>V@=FE>W*E)M((@= z3ybGALorW{SMwlO5E3wXIaP*zZE2!Jte*`+r7K#O<Ng&bG~pzrk9Bf$M}_A~WK0Bb z!9#lg*G;(aeJpea>p}=06(lJ4C>V(O(+%_p%sxh}Cn^-KMAfJvo_nX!pt*^xyoWO- zHrS6bQn%QvSC@uI){1(d&{>`30Abm7v`OB9uDT<isdFOF!P<2fqr$VZg45Ur0H+%3 zD42!VYO_a;A+h~H?hA@38jJeQ7@j8?w+4@)>h77!>HP`LKo+TZy480~o^~h^&)xxt zs(Xnl%;gqk!1d>9Q&GHAc%loCE~yluaQ2Al_DD>Kx<Md(f{-ANiW=R<%e+dyaqHLK z{c#y^5m&{e7Eo0}C5Bk?4S8W(4H~DnQY&7YCfOO}T2SrWH)OCK;<!E>Y_X@#yZ#XC zf%%D49aJXnP&0cODEDCC8m9e67-MEvFh5ep7W<s{cKWKC&lX_@lz2{h)2?8C7|Oa; zND|&UV66s?<m|8-sBp!b^cP-%%d4K05uwZ{rP+*ehPhgxHg-mfbry}~C&C$vz=`M_ z8o67!1P_TOcnxZz4IR_!qDR0L3(4aXj%ajQY_jiT*oN_Na${OU3kQMD+bG?g(*M7% zb4#-0$YJPzt)iEZPiE%+H#TvT0EsGjJ`^5%ELrNl#o_}vfD7>qgs=2ug>t7<um(b7 z<nNtm{{Mp>5zA}|qm0V|H|C}nNe<90hlTL&tlSxd1Ny|5;ECcx0YaeFDBS5{Vjlt+ z-SPZ9NloaXNDhi3gI${%+y#(_=v5>#;8hXeRlEVl{;Wl6CVEJR@PwA4w|^Dg_m7G- z^P(`DuM3NaDg<=m&p1c4q29<qX$Z^xD~pC4)f=Bma(+mfo1`?(Hzw&nb6SVS*sT{J zF*Ko-z*%$z)ntXZzR-j3_29iK42bpiWrQ~ZfHK_&Yv`G(esrKc2M5(0RD8GY62=fu zU?bK1wPm@y-9eE^_bNk!`<pzGA#g}&{JUQi?iX_9ma8&#fHNb$%@W1MZ?B?Uda5m} zH#UCW^m~tQL?<F3yMf8pu^+%Y<{VrjODZm@BI^`b4(uLB`Ii_G{v~WHrbIo&48X9b zZv)(Qji}Sb66f=J!K<D?*2GB@AOA7sVPp5qQ%#pxw+78{L^fb?yLSvu-VlOZ6o)gt z$Q8PJiC}-5qwX&{>&H@0-eHO6C)=$d9L$);ETvcjH)5M2yDBs?wCn`?%5@K;a<~m` z74IPvY1W}604D5eAHeDqJCc3mM{lixuu@kpV(9Fqzw1|H7XsC88JOQvFh071f00N& z7!bz}2+#1m3}@DjnLB~Y*fQ~u%EC%<{*fHaZTXm)j5OCLnr+Hu0RamU!2~DcEd>$K z$-EQ@kPX3k2O_7Agru`YpE6kOo4iN3Y!dO#3pnH-e>cwo;CoHVb0&CKcuB5<Brezm z***&$I3=*8SQ|T~fivA$f&I-**UqVnj-!5(%j{Ez<`GMW5L=ujPBZ%)<Odd*VR~w5 zMPtV_aFD+Z9-Pk$e$i8drRvyZQq%*jz6FGUG7x*UC9AWAUBPG>wlTH@Z@~FJaIP_o zcdt?~1P>L1(Ufjzyrkcel*_|3H>6iOGEN4951~#1uIhPkGq6am!`NctKI-$@ndDh| zLLnlUW{bw+e5q*T9sT&SkdJVK+%Mv$EvaEhSc*+nVX-2Vi(Cu3o9Py^(>p^3*C)@5 zRDk%9@mwX~gDP=$C<#x@xbcQNummGvAan;yhJ^MS99#f4QIMOfTzLAvt;4|y6H7WD zYlQ87jSOV+4YG0pFk?$Tbnd~j%1B15*p@fMa8c3FKvo1|-AQ^Nw3rK`e9-i_f@9c; zdL2MMb!cSca@)m3w^L5vYwY`<;5)`(P(MK|vWu*eNz^lr>PgV5$TV9`FXXH#Po%vu zE(zg5n344!^kdo@tFjD~=5u6YzF_$bs3>3|1Bd3Hn)}iv`Dyi|^L-D`rKO<e#pI>8 zu$%+A5@8+T2^^q&3<xE~D$~Rl>WZ@ao#Ta})W9~n((GVG7EJ0QA=p()1WTu6SG6i@ z!$`8MqTnWndPYy;YQ%aK?|xOFZK-OQLi<lvL0%2e6)c?hy5EhRlXJV}l~^b~AF+39 z(yL98&zI2qIntBuXG9$?D3$T~X)XPtOdp8-L7|a>0iE~>eE<Ba7}>*Pry})ghHDfv zKg3VVIHg{avd@}fiWbA*Fl(sm{Fn&v{e6#gh?x3-EeqeZ0sVnt7g?N<`FBGG3qE}v z92mX<dr7=2Z-VS&ZaK)cfFI5Vz>qpfH#ISQDT_m_kGHiD%y=JfLsT4vkVI!EIVfia zQu)bYzyz6AGmoj5h>};DbLq;vE3(LOK0y)jj*(cb9f7TpFm{*RD5tk)vz{<~HGzf5 zs|YP^Wlqn+^>P-;{tgoZhbDFjU|-J6MDV?Si6P+$1@}g~5ZGwT@(^t5CW4I-92p6$ zvG<S=fP?iZ2T4QYVextE1kT?(T%qJ}aI>wDkZXuAsH6mR>6SSh^qPS+v*p(&vRapD z;7m!jJ?_6DkvGVH$+PH1q-n@r8J8$15p9&OQq8`6x9D9o#H8>~)+kB`;>ik?p>3&T zke+c8HE62i(O}jyng4a*@dmeVV$zrkYD45A6bzb+xd|kIRRqsik5eV{y?iY~!6aW~ z{G#{JD?QN-koOXc2N8qCTTspr0<UtVE~(dg)97LVns{Z-_4X<Nkp2X`;Iwc!=SRCs zLVN$WBtS*;WTa!4m^NJRZ&Ubt<PXrmCaL5FNn^hn`}-eukg~o5`IJir-5toy)LKMX zKd}ojg!@h+Ut3CEhZ|x%XdXlL*?8F>_%ez~7eFI7bz4C5?IL`siE`1IkUNA2!&pqT z5iyC?cjnCRV}E*V2_N4DP%CgGRN<YtmN9qJ&AY?RW4<EmMdp6Fb&W2bFC1Z4&dbqB zxzl-N4;v$#peH6BzxFN%6Qm<A1so!oxwG;zy<PO>FZ3bwV@F5bFaGTcDmXY5i>8Sk zeWl<>>;el$hv*szD{lVux^vlJTST)*Eq-O9Fupe2Q)8p?+yRNm*D=%KJuusFS5k(U zn3t%7HhVTo6|sqU0jb9O3;*gECR+>p<iOYb5x<C}4p^0)!3Me{(i_VMs><|6llXV0 zFf@r^y2`r#`9FGkng&wWehZkzIQJ>hLhkE-?#KDyWBvQ<a&4P0du#4gNR#6!oYwo> z46hShB!BEN3o>7aYSa$;FV^h7-)}^}cELd%d19B~TtJ8p=I%*y^nCy+|7QEJzYdZ1 zPQ=-;m)~;Ga#!H;p($}}^*>1J{*!L4H8}H1#hxvq?D+))StPoGndQKGB#_;P$O1xZ z`RIp`)`WGBk2gDnS~I8<iS7^EgN$hd7HPrm*id(kyQB_Ys%tY`ViezhF<H{&k92`Z zC}^PUZ`cb4f05r~UA@($?JB~;5&U#5js=^pRWghc0L90vd>0lFSeKx}xr@df0hPMH zDt3dbteYQ`7@J*YHglY7?B|MH92(81<+D#zl0r=#WMfdJBw7XvY0nQtwF(bqzG9X9 zS?Tg}+q!aJlGrF7Ct{Q*!drg`sRdei<d9x{Y{^n^Yed7x-~1<3AWd4AUbluP<M;LR zUBQN=Id%mnnSKL$a>5e{yKcyrETI{m5<IDaH2hi=39}(}p3EtR42HR<2lh8$vr9Pl zyC$V(Bf@N3X0UoW=%OmrwDu}O<AT+p_prY|_M`5X$V!PIpO(286V35F+20k?^H$6D zD)#mwwheS8bZr~Tss>iIcLnpE$rJ-5v`FD_PUdB_8b)4$Za+CJaCbjYoPS^NKf~z( zVxI%?pnpz)39B&Bb-ev5$l(jWgSk=JaEOmLfPo#fW|(`jEMQm~_>XXhZSGkKmsRTk z!jF|##yUioR75RwJ{X`H>dfaQ7L8*(ri!s-x)3IFC=e+q-Eej9lTC1x1KQIV%2LGY zXyLYba=*AlpR@!<jO5B2Cse_iT^JbpmBl_WHQX{#@zJlCg-0st%!4OAOJ(O9AS8>1 zmo!!G69h$SOt?lI*yJ3Vni~wc5y{3wD*t{&21Kq|g$c8dXt!>wFe7F-OG3@8QNTi? z92i=5Bg=i8Jo-8)wEuvdb^rP;?Byz7=<KLtzt-gkx+H=jCZ_a>t#CDHEh>W3H<V+1 z$Id2cj@W8(Y>VT3!5?S9yugw$s88xSICNLRy9^1>4=(=~EE7AUD(M3E8G<^hGhGc& zdF}D}@cZDwrRjD(BLiB1*5h1w-#vhPQF;^$zN2~Qm+J`83O^HdC-R5u!iMEU#p@%+ z{83VZc&l5_Ppaw(xGJk#l5e&g;+y=0U?;8QEr*2~nv4*XHlKGqYo=y7IQ4aA$P|Va zaqnqwG^ZF*T<Z&kA@GBl8NL&@E<^rkl!RYvp=X9WL120~XnyaHEpI}1OWZ#u)G<#i z7bfCgIB`a_drNlCSTXkACwovR$m3YZCCcY6IOIo{Ad1|zJn@RyE6H$_>>0>BhAxs^ zsl9T8ez#kLBn|Bj)+<}(Wj`W-XZTo$3&O}QIxb5^QnXq!4h@a4)o|^3c?`uAgru8n zppj;=K2ibS0XN>viYO4Mk0A<n#=DcVT;2}neFCUS65(@eX~Y;3Xn^^rf_z0Mo}pA! zJn?%1tu|Jgp}1?S(uXi!X~E;v;GY~Yz%b1uJAwgmLX|u(%!i9He?9q!%d6g#Ak`(u zGptF6us>ch#x1xcMwt)&mrQnSUHo4yqpWH6zzE}C*v;I;_8xEJkXHWPlE)H!vlOsZ zD3XId#RN2SU1V5v-wt8jS@Frqp}SP(SB&?Pa?m5Qm>ojA9dSDphX|!0Gtc3Cfej1} z)L=lYz+2cu=0NfchhSUkyITmI!IZK9pc#b;Nr`L1<;FW{p#?42HSHewAIJU#B(Vzd zxPEBrH9ZK+FS_?T`5LY}t!lieup<D|!;qP0?52F>3`+&3sE}156Y(%<4Ex6r*rJCe zL-m618nnP;<avRmfbzuq&mdzgkYfElJ7D^GjUD#)o_p}Pv)^wWBB&EFDE>vpNbAF* z3iCll7%kR_{`?dybqCZ{Q2yU@l`%mYaw~3vd(Y1cWUMslhOP~I>(H~MrLoJ@HIv|@ zn4|z&cb0<sR`N$pQIR%-SbDBkd9Jv~aRbdNN&!BpvE3?B3bGu`Tnl6=IB#B3EpkmT z!D`pEwEeoO3zz&ofVVDmUl-o`urWal-!Z<rgBd2=+@}9Vm8*}HK$iabwrZSvlm^t` zOlDuv87IGC{u`XeZXujUE7XZNCKe&d%hi_M!ft8OJuR-cw-(<*J;9$g7#99XXV-E- z0kUsH?|09)<xD8-!2)`fgTYeJ6SHkK_beB4T0v=Q%6dWfgeTVN5+?<=6$@YUj?;gU zc0{F2d18?rf{6?X*OrDg$sO~JT;-FeI#ENVe4=GUbB9l58x@$U`01JTZ6gaZr;rG5 z;pb>l2?OX7`AECP87e*#4Pl);j#S^pR!DyRyMu6vAn}A~lHCDLy<veg5rrvml@Zkn zJKzx&&TsDyuy>39Py~^z+=6c+PDNsagta81wd@cs;-)OwBkFFEaa=74X`Kfocm{8W z@RKYW(gzn-%Ip%N984q=VmSDZt@^{jk&Bx!63_7F3usDe>m#|bBPrM2RS*-0(o(_| zo8~jM#J&dpH9!!udyE5O|FEZ_^4L^+@7PcJeFp(x_d~Uq*F68@hyCT@vH91p7u1vR z6X2X}EgyAqVJ4xO9AOsv{)J}PdWx}Q<`XhpLyqP_*F7vV(E5bo<)!SWNdcVHmqc;p zu+R`rIS@3Tslgg9zh2hgL@?keKuBUglFG;DquJYu$xUBpn}I?dE*gUgh}6x|k_>L> zkdE3<up;RNzldLTU7lwcTX{#{MZCs4*M?(+hbd=(1&UGJb&6z&n2;2UI2XAx#H89M z1sf-a>D?20zWD;<!EDLCV1veS7}+)j{$THALhYG@uH_)+#zVZeCU$aqXjmw03=9<m z#KJCtD@9;B^19}i`Rmc2D486T;>SVzMX`1TScXRIHl(_5!IsRAIhoa8P0F!Yu$LX_ zE#qXgU4~~TcFwSv!Zyc`?}jdD{=+$;Q_<IlNGhld8Dv~tbO5w??nv@<J^_)ZO-vq@ z^t=<R;@kN4B1ou%c$9+~nS5%r?pGf>XG{x$$O_LA?2XYaP=mlIgXW);3wYm5)h=SI z=)(ROqVMA!nO4Weq{8_kW`rLh42S1U3P408mCasH_<p58W8+X{xGq#E?y7%gd>?s2 zi|{yS8GILWNpoeE<jZqVBoCm8(SJg17{Yx^%2((N*cA3;#PBw{8Wj$(QP9a8y(@9b zOUBtI>=TOy;K_9%mkFv~hTFNG_n<)k%H1X}T$+f<GC1CUf4$uS6w8Y`r6%QoN5|#z zyp-cvfJ5ut;@lLM2qBVT+Zs4mP0TSogw!n-q#_CJL##?Il$cL~BEO4;9%RWpLs)pf z{DK<`hY3iRFK=(TJpB{4I6wTuf=hyXvRzOb{HT*%0Zr?MjuGL5p_p1Dh6O)=8&CsF zWO|Jk0!T>6f@!$Q8PkSoGcj<3Dt1Wsf<VZ@5Tx=Dlrl{4zHo5qs{c-08=DHMmMVv~ z-d^j#2OkEJ^gPi`0yJ5@B+hSkAqhfju?>DeCM1mvO27ZY0c6KY9#zpO#$MsRch-vN z!rBw@TCE48;T1(3*W4u>KYEy`TA+rU=iV+EB7NpPeKLiO7A;O&9U&6DB&?GL=A$U( zEwZCQq^Bk9fVdkD4FNyUz><}?u@QLfBA)~Da3+=th5=$ocQ8e^cqNMiU37i#*1-L! zd=uP1vY_U|&1pD8)P(|_^Z$!`5^lsPoC28Ie~WHaX6G`&M6A%Id|G5-=jC>!*vV@I zYRj7VBd$*g*kNh(YeEID01D(_-;hvbB0Xc5uv&^J7lSv96FP383;HC$i_@LBv*#b6 zLs!><f?0=tb#8PAV8o0rCBURCAb;i7<pHovrPmxw6&`}ZX*Go6V@buHHK<t6iwscF zNmKO^IDwgh1%qmrip~2P-Qc)$YM6X+V^`0_F@qDn;SEr03{=<N=(Gf{R$g2E)NuDF zg_3bO&k*Sesps>uUxhY_snVL0$0uFNfiXUHGd;S?ZfQj#Qc%&(P8r2%FNE@woxqj` zSJlb_gNV!AeDOm)51nm7kn$ws+f2#<Ws5Q}oZlDro*DS86f6=Xo$&I7UFPd5yd`jz zP1OezIgrB}<zNZ?eGBhozq1q_XjY^)3@HoTNe;ohoR1)RN{x-WF|bZ=f1bjosAT&D zGNMzu``C{4&wxmuA!&y6LO$g-1%d~g7NA~FEDk~vF(tqV;D-tZrV^3+0WqvWvRKi2 z&xJl8IH)m%l{%zBgg*o9R4jFIW|%OFy-t}scLPCUY49WPn%@P*AG;LFCg9FAOc<O# z1|A7~Zl2IjOr$oFB@|N^?tzd<_;--<y^YG&AUJRE3|CL5uh>|4=hV^ow5)O@w)h1> z<K3qym)D08RAi$*Qd)DxlN;9qg8-r8zd#D~!sh|MeIlh(oQzx*-w!N_X0t2_RS%3+ z$^q7^zjtx&6pNf0hL{*ShK7k@0qd~^pZ*VO?WYFaD=zWz3`sDY4z`Zu_8p>J9}sAQ zs(ABJd=SmemSf|Qy+OD&?L$WI;!r$dO*&#x($4DESW6a6NWFcc@&luZmC-)PWLIx` z2y!hMCO8cH0xbhf<14u;+CW(t)`tFrv4?0aE8a!Z``pmrE6E6+<jg~lpEM&yErS;N z-z$|Z(8>p)>JiI^GcE*yaRaRkUz8OI$%3nBq%47eI~R2WNl6Qq0iG#t2Z`xpb-*#G zb6uFwV-aWh>`W+#fRlD)5~#PX$-ygQy4>piM2aYP1zycpXa3Jgo#?UQNDH~5#Y29@ zSlRwwEfPx(SgR*S(UiNeUa#a`g7LVAB(lN&ia`N5+#;67ElCUevq~fr1R1RH8a?C; zPoXI`IXrW}bdcCL;cu$1a`5=6;VW6B=a0Iag>qmQFnaxP4YD*3w}oiG_b9@C(>i%5 zYEuB{dT5MNumYm_-anRv9Ylw)g#NUnbUrUpSI{G{z4(>J)1=wag!U2M1jn2XDCek_ z3)@yt=c=JREIO=GfcvEIz;Z}f@VNb*gld|@LHwO9i{QlJ!aC3KY#a;=^f1lO?f@(U zl!nL052Dox9dfDS{oRa}i~or5#@leZ;PQF7|CK6;a^T|QDJCHmFLb;zY^Jx^cDCJX zrATALezI_xH5}==)O9J<&ZI`TW4r*BRJ=47-X?^`!l3yCs~})i6e1V7Bv9dONnotW zUV2E7kJxrPy(=cG*@SXbC5df>*5L70VTmev%1Ug#LRd11ZHTJ3QqOiWae#PrvX_Ic z%M0Z4$KiGd`~G-*Vi=-L8gg}9a+n7%h&e^2Mq~JdZ>Q1?;;n<rj!^0NA`4uJa3KAU zQ$L!dBOSqc^G`yjG=iUlS4NM*>n#8AQE_kR4Kyp^NL)&T(|IAU*pz66r+ea+x+s<2 zDKlBTNHW*lU<s$if?ea^@{-W}N%w&HB0*{gcBF172Zk>!9=1bd7{WGK`R9@Rm0Jn` zP#pm3w1RTrUMI(xD7vxaEfu%*+?Kbz&WE?D`MB?}UMwIwWND2>tV6riaE0X;lau*i z(y2Z-_?kgmenoLkK&X*Ue>;PN`{=0gU-!qsLDt^BuMk;2;WHpUEi_1ifTcyci`6ko zB_+_Db%;hbTvzIn_3Fu21(C_yommcf!}dF~oXe*}SRqeL$Y?gpAb^>i86^Ll^0c@# zO>_qxKMr+D11AO_0MrJZ62&41M-B}Ab_p(Gq3`id4%kos`76Y~YnI(XlmnF>87W3x zmI&p8G0By3QjUh~4j5xsdeAt1r-T5KtG_t7DAZ3T>y99`Cv``-0rURF(Vuqvc;Qc3 z9d4%b(Wronbd&<ieH;7M+j--o(D5|?rVP(o#Y%_`F2BHomPVvkvW{4NWv)EFJm6^o zpw$NT_M*6W2(yi>!xcxACviUt8d8!Vmj4ZwqzW^krF!ZK$2Sp3R)eSIJqYwjOrSfg zuNbKA7j}9}?iV%e&;|sfTyRhSBiuKn`CZ*hLAyU5pB4y6L1lmC;z@Z3IYrNlLio@J zPcu7X>kKlqibcc(BxDa*mU@(f=dDbxu>sGW!IVy63mI$$=qnHLq$dVolx%Vu-Kj${ ziTQS$(v#YxjdGv@1XV1L{}>pYF6fu*Yjx#-fa&4Sw=^M-C|eF9RgkAs2ZSj&<RSyY z`4}148PxCuJ_K-u*0Ung!C>O%Jao_nFn=}j5@2ui&cJb$uCZr?PLp8uDcOlQD#B0s z<YJ-aa^bcR{oPK~BFXItRPSUj->QvG@W3W?<a_qM(DoAaIR0IOnK`<GC<j}RNFy=< zy>v<(S2WCn{+%J6@{pa|e#?5dp&VG+VUf`1WT#iFeG<Wr&@UIY?95o%7_RJK;b4$G zZ_B{ny2Igpzu*BnK&QDJ9LRUp6S71~zdI6bf^V`CW5T@xgI+7Q<&;n{XLjk)=tw!> z=LOe=5F?K-LA}2&jTz4-S_58Gf^lHNKZ(xzWLz5=!-GH0`|xO<_~Fd|+al1=P^BF7 zu=e@0(?8{)+#TG*so~yqejn{$NAQOo${$$WjimitcO=iPu`AH?LX)<kOIM`b0e=*g zaq{DhFWM~y{G)A@0@9E7JCpTCV)+e2_s_hMfnKx|;FDeCf-q%fq#-xd$lMvM91a+Y zyztrJ*9x8X{gitg^Tuq)uo@^Uf3Hsdq|s0gG9X)Ho1aK%WLG%xS>PqEV8>MONp7iZ zAjj?DMLvdUdYUBLn-(s<w0wmG&(mn|7gw>k5;xFD(>RIkr~Q-D*Xd+0(;n^?NB^uq zZ$4V4)RTR}RnY>@<(icLPWEF{@5U&Bp_~#L+JI0QR>vo<uFd4KL`DPg3th?q8lD&w zOiRJr(4S?YOLBXcvM}Sw_#^@e9dqmyr+^c8#<;zFEdJ5(7Sz^TlN9@dE&Bt*DzSbN z$$#vi`!Efk7*5O4>~Eti__jE;1U!UfF2a*)<^2&Kl%&DMU{J)|-NM)O<aM^>&Y-zz z!>b#yCPm7@Ns9XK7h#;z{g;<dT=zpXPpAnQF`QQFCGNBd+nTjZt~BPYw)9@dzOiC= zfc-&tC)Sg1dh8P?q>2UaoWCV!JM5EsO&QV^sLvfO0!I%o2UUQH6>MGnZuvH>H24o? z3AfxERP5i-djA26P71KE0-9pPP)BBc#~pS-Mp4g3M6400c>sc#G!6O=|NeRD^c`5d zG~7*raO9!wD!OYpGx=YdDXALu9pe@iP}3UdRSCR01WpDb&$fhg-7^jT9pjvM2=6ih zBog6yq)VvzVtWk{HGB%6QZQs#=$~>hWq%;vCRZ=x5^X9`w753<I<boOpi1s&#FJt1 z7GcMDFaO5cKd#6ogr!@uRhE>3f5H(ofTbrlHp+prQVItIJ;kilsm+aJV&aj>Gsy0s z-3}rDI0a0Y32iXB{~<Aw!{RD=Sh~@}8x$6+Vr1A!VOdj31C|c=YqkByeRdZ9>|?&4 z;sN39z`tDiSXibHjE$~9%K(qeHYJB?WqL`&i;E*mus%X{S_O->B<vU8?&>E8!t$L5 zL*S}{BAeg^NRXr8hta96B`5>xO$Q|IBf8;@sY+VUL7At;AL)KHY*6LyO|X|crmquh zCNZ-SQC394Xsm2U2xz3(mOO%NFhDozYsGkHB^-@UT5C+q30)rf^5LG04^Nf0wYZ_T z?3`a$N5;KxDG4pSEl*scZ}&Lf0))^ct(W6DrAUpXV5EjGI)r(PjSmR}KTh7#*&X!7 z+h~z)z+?r||K1r1`_m!xkPtk{PCD^L^PPboQ9VGRM9NxjMY%WVY;vl5GPE-|+!KuK z3MSS<wzJybZ}G08L`D#eNfLWNnhfOuzsT*P{0a9K)Nm&sJHJb}9CXlD&`Q*r{NY+7 zv(-yMl!JwHW&Mxt04-_7HY0-AJJSbF9FQa7Gmh~%AW?cmn>iy@+Yz5vM3L2`XLQyQ zhP%QeS?K~GY^Pgv(C(A9P#?yd@ZQ$FtGp<e>a9ADNe?Bx_qQ1tOw3u80LBPf?Bc{4 zxS@wAfw4)jsRh21?nLmn2IN<h-GPx7PVk?W0+xd*JA)!-=9hZ8%ZZ`nGl7`$us7bR z99O4~m<xm-J!x|VP0=jQ3$9o$=n#g05H`95f0iVDKrZzNFscU(KXwKc`+ZH4>YKX) z%}P<J(FlcdG(WLB$iRgs>5A)54~x$6m{1)eVXd}La*|;{Kzrcb0nkwMATwnrwAX5u z0~+j>>k*z%BC~dIg?Lwn$#jf;0auE@U+|XAjght?!>j^dVn}f@3<4F*YQB>@I6{CW z`obaN+xO?dT%{a<G(m^Btzd-6uAoXMFy3V${y!+|7W)513;8gKClD@B-%<{y<Qv2L z^v6(BGXE#FdpI)yc6XnbcoR0Xq4d6CxVncklF)hkVtmq&M0z4ix<JiZGOV8jsFDx} zYm$-5Ndzj&!vbQNyclcV_>q>#ok8vf)Y;rWtHd4`hPS<u$MqPVKc*lK;SprIh|Ho$ zMR(6bB#K*h2Q)C$kRc(3{0Kx;JA@MX=eI=OkN5;D6GbdC6Z`rP?umV3m&?c4UgeKE z7<u1Bm0V*(e!sw@Acs{`)}|P@*S8d)<Si^+3g9V=FcpgCfG`2s#yw4I$-hKDljZdw zN&?-!C(%fMce}-Xz`@&XLqo99<6~H$rjPi_?)F&klwy~7PzFrO0{4rI$wXULLEc!C z$HbLHJU;euWN+_Olc78z4BQuJHW|PoMkvIjxMF!{I7!7~g0I_JafYyw41xj5<mnmT z2TVI@X_Nu`W3mxOIS%3(h^~Yrf{R;CaO5VVcgY<IF?P#YhP7mZys1PZmWGX;WHk+5 zB;a7iC)L}kBNm%2q@(ic6rQXNQxX_7tI6^QuX9|~Atg0SLF6+{*)OpiEGY@pAGF98 zc@m0J{{s?oVraP1@Lws2a=`9j!;Tc0tNlMDiR~@G{txTYlY5gU%4DLEpy3(@)!}+S z?I$9ZHtGaV3&RH_t5CkLJa>ch|7V;9j7iFbFe%WWi5R(u$IbsY|D6%ZbtnZ`AXMyL zEAHtuq#7_L4fhM`K)Z8fpP(h)!}81~kiY}gpAeSVhInZgmj98pdh)T4J7`Hy-~^qr zN#NX7{@cuDODraL4g-;qSl{Q&k@?1+8cek^RSmFgxqXr7Z48_YA7l@AxuDnY2!-yf z@!E8i5PCP}Dt5t~&J}-D*IF<$BcLhZVNPP96poHJ;@WZQbThjy7zBHirdt!oqFx$| z&`A578KwwsYx<ff(+fhtj&<Ub8R+|?T;{+)wek^6lD&k=PZAK8bO!zJ6=sSKp>9lE ze{Q-X)9#7mA)A)}=SR?PAi9LDSu+y27#O)8yII%uosa6U#TxPP2Iu@`ci@%omO^0o zlER3MUmO=*dG@3^0e@vFpu0ELg(w$B-@b)_!6^ZEvSK-KLzF9(d0D`1cpR7yalS)$ z;Je4NKji?OKq!_w_6a8CAdN82EoaJFcu<PuMjpWcm5)qsArHN6v3M3q_GCB-l1>6m zIPy|CD(%ucr!MyEwT2=2R<Di~d%P7|LS`<Kq7rqqlXh%99!h_H2votldZUOTV?@GP zihM2hYs*RAR$}~#xs2q~l467iU1{Q9Qtrw8;DRTuHzo2z2t`SLY)P1CRVh-DuA8yl z%zJ-z2moV*V)^8CAuvgSVOP$wp+jgQQJnb>z7HM-?cXPSFqN;q{YkGRp!nzPU&Wiy za_R8IpON|jO(wG0qcC)+cmvm_8=zp)9TYDGaWswjhOGkzCtR^(<HIqZrQklrFNQl8 z43cF{j=|bVbhRx*LM4=Grci_3!N6sSC=;7FHX1OE-04p&{}*Je*d=C2>z3=n!tTI? zfkJ9)LH83R!6gB5RbJ$JRp_#Vix6Z9kr*{KO1xH9Oy_+F-`rv!`Gf;vA(4Wv!#Z>M zun{-=`@}X{g%>)613p{D8-JBVzz&MOpl%r4g2FG!g|Da8H_2hz8Q9the?zAjcBB$1 zYaV+T@$M8|6Ps+W6tO%kvLjgXi7wm~G%-5uPx`{jpw|enffN{MvB#%{mcXG7UE8ov zIpBq%U|1+IFg$s2>|$crGJ$syBdmD%Zn6HGfB_a<8o4HnTWA&aVV7=!rJ%)-@Vq(8 zJL!qx^P-v??UoJb3*2IHx1f|(-AZ-`g$`vh!f6IBm3wBGUYJt7LvV>vND-ksG2m_@ zeye;g2)Z+1M{N+o{fSV66v_i(=~azUnK+Z$diAkfi!F4GZHWpswMcPkpnze5xpY4# z_yD;-f92JHh!PqX>Ul?=x7^3&o~;uh&F5%J)&Wxs2|*Ai(M6YZ@lr3Cx9iFm`ydj@ zAUv%RQh8ta1-gPeG!oUa0XQJBhPr7U7#o8rM=%Rq9n`mkl=g%@+`J4P4iN|yo52w{ z6W^ccRJ9iV&n0_<^M0yDeuNvk@<2~Ux`zXL%3rro)-7VsF`-xaF`!s(*&&4Uc?mgf zhaBk%uxc=pmi*wkPV<d>wC2@Zo#-mEvt<Lkq#P8PZ<-t%WoYn)L(P^U6wBHrEirna z5u6p5g;(&RH#+yXdIyDuK>^{m9hIGjB697(h<su+<(qzWG{)Qo98n<dbS-j^;6{ca z#;2BoWBL%fyWxE^IOQlX{C9ZYfaHyJV8x>x%tYSAu`$h1{?9tr%dwfkrZa|tmK>CT z9-LeQu>ZfW(IF>>W)e7gl8#n)64E-%%8}a8_!`BNJ4r~xh~G9|uO@lul<eVQyyM$J z=h)ySZV)T*zfQtaq$Zi1IJx?0C_G)5FI8~C;{++)H-jel1xDxWkqIwzrEE1;h~Eo> zt`RpgiAs|5Vh(On4u-T8TWpT>u5SWEW}*Z_lXT+Z=q14fgfPKfZY%{w2#Wh-aa_Sg z$vwh+9Um_xfat5p<kh3c3xPCVKBkl~HhyB8v<h34%0*VH<L||qrEkS?E=-^+=nf{N z67FpFK>?|B!Llo9NpXEFKa~_2Q;blO9v&To7@5rigz$KKVA(w~wdC)lOR*zbsUfk@ zu;83-NAc|ME>rmeDDwBk8)T)j447ON4*ve$cPyTrd!{?&e5`ctMiN_pCm2pL9J<sG z3YfT5==1NLZ(MQ`8JN&rr?fMKvf^vPv`RXgFAQ-=jcsA}_dT1@hJ*o<W6PSEol=`z z4{ELhI<G1rx(4Pbzz3wHAzo-&icB}UNgzxdO}|!xBd354qAU2m*iAYFV^^?bfuO@d z5pPrbEFHFn_^fCV@}hq}=ylNYf}l204v75;d7`NN!^AM;@_3{iv{#34bxPi9^OGvX zv+ypBj|^#ud}5->iGNsS$4GbcknX6+r2%@S3vgED<!-WH9I|7?;8cmO5HG^wfWX6` zjpU$C>QQzG;&Qqea-F<J2Gj-H`C&3kaZdn3Cg$QHQY42K`8udDwj5geh5OC@2}9Va zx>C#?f(N;FxlnhYS{e@mGdt^05?Mqsd+0`2#q!DA$c~cGB+RuhDGxouqDA>X^O8S~ z#1<@ntzu*0xK|9^&3Rm&)w^(w99<;6#L_!7!@syqGzGjWG%7GP(tXQS1=oeK)8M{j zphQ-}6B;DjIg;>maX?~u*^<`#1z%h43bJKL$e(uxQ`E{;O2dvT!;|*sCceNfy8~#n zKvax0$H;B^{Z6htvHAib9M9|!ng9??Ad2lZG(40s*M1}(2lk`Vg<!Pb`f46T-08eN zZ9{u;mHm%fM65kODrRGvi6l_`9<sX$-B(2Es}86zr$18xGg}kMVj7M>!2zX4Lo#bu zP5nt^#Brw-hNp^F0XY!U5*v0GF4&|Szz}1GZ{hLffnS!~dZTYdD7=TdSI1|ixS>iN z;I>z^mxB`ECAPlyeiW$2>{JJZs=wu8fl%V1U4f_(qf9UzsUygz0>!_DcFY&~Mj#7E z7~0FP5{8VvIaB&f%-kpmfFlw%p7at;kc4HA4+=>n5*>d8YXZL;(HT4$xQKa&>2qe% zJ}h~;EA`iyU;I_pCFC#F%vD4Qxj&)JQR3Z)aF+F|PvvrhRB?&b(eTQM6GIinvJ4E- zA$;`*E&lrCBEbPm?zUq<C-Z9gN79%2h=JlshvrWI<3DGJmh02_$+~a|&hkuy&l*1C z1iIy<^r+(uEJMN*Zsxh<(#S+L&_^cr2Yg+u_EINinn|b^(C`}6xEgRo{j4$Gywhfa zw|@5zj!)k^WHmmK!R>pSzVVSFE%HxzTEI^z4Lg&SWauuzBymVQa!e$zAa({NWxfoi z?D7l&N5~)~Z!K6GNNOdQyp1=u{-CQ0SW)~=fJ<wjh_D|S_?p};*1T^#H&7j+wp45_ zLXF&0Ls8{l=B^~<(VEO&$SY7xa?d~~Lptzb+*JACl6g@erh}J(*cnKa`#*bxE+EB- zY(rgmm4YH?hAu*cE=GnPF>X&P+YL*EiE_a3=Ogj&_D`-cx`OfEDVAJm-1ja;`fSHH z6OvloPf^*9OczHWtK-E@%0KSNs@Dc{-xwT^g48{n(#;AO77A>RW?+GU&Gi%ZM9}j* zF)YUwVL){^2timPHEMzPe-gL8Vj&q+#fb-ybl*SW#~8kgKX_NZ?HO1qMAGhKN&o}< z5vAD*#o3dv3*=V!Y`4P}%<A@9qwP=%J;6zR(GciI7@1ewYdQdoPkt9}d0ZOB`Cyiz z$b3iJ$T#BvOZC3cJN1kd@|?6D@!m6ACNR($K_!(#59AigLL8CRn!Hw$^=>*SG$ymR zOc<Xj_jaNa;E`wjhc98O2jK|$tVW&4QeYy$eV-t3%`YF-vRvWfdD8eloUbCuZ_&um zL;!a_s%5n}w&)Pj;@B9@@+}9D$CniVQNOyhj|qtP;$s<2N62a%P)iyaz9k`~j*X-^ zo*#IL#gR2wsS{TPn7Jng&E0fuSd->U(Xqi2J9=hm#8GiX7&3@GOS*z7l0+QQ7zRfF zK`m(&o(GNJC>gqGz^qsL^uh46F6CfliaWZ4Co$SEEkrrU1Y9?A!?8I^7A8D0PaF;- zzwAGf>pPJqJN<$ao599iLAAW`)ty=Jaae5mwTV>#E(sUEz%1)(nft)<*d!l)LGWWU z_XhATJVA7d$KF!<&A9T=85Fn@GqVQ{)-JLl$kE7S9{BbnX^rOP_hEpB+}Mg2Y5cVW zoR=7Zoddgs=ha4p$Ip^69D6u+*h|=|k;uT#@j!?GU(?NLn!-dG66|U(?ZHC^d1{ho z@RBZT`IJm1kDR8Shk8HZErAfXPZGuaTv14tSCGoUw!EPyQA$Lc5F$`dZ4e_Y85AIG z4XMyL8Np1WvSBXn=nkg(6$s0V-D4AE))ByJ&3Ev<!d2-GFfa^YlkcM)*%%05Y>+{a z@pplu7F$6LWqgvWEZ4?JYFu!H<83!<9!ug48Ib&*sI<5wFekm`k+JV&3h~%D4846M zE}YaD5Ff^j^Z~{4UeT*LI6kiVGb1nwDq|8mzm-J69-J-WKhi-(qZflagSsWEdZz4% zG6{|{*%cu7VuP%*@p|B`m=}d$8tlI}CAssMNGlTeYZB2M(dAo)1!bhXj0|{I;yDqp zYOLbfaUanj7^2KyMh5JoUs+8|bL^jT@QQ5fA0xvSKruA-1CWS;U{ijEZj$l<Tr^&% zOWJSJv1{PvJdHpCT&@^<KzZ5FRzy#RGPv<O1klY7j98;qLw~a5<UM-CEXU4(PchLP z)EAhAY!Rhk$`t{NC+-a<KJt9c5_S;X!SYZrS1MCRbi5=?#-w~&(u1k2kB}mv@#7v* zcZv{WH^5jo6#tah%pUXe6EHJcjzX8yb5ak@!AP_T_Xby|G~~({Ke@eeYZbM_Ff<un zCAQg7JLt~W8!K}Yk$y`?StZiHBc(xTuTRhtH64naM=c4xCC`BE2jm0KJ6Wx#UXAL8 zfmg#O)1U;olP|d^KcSW?y66hJ1O&`a&_a!C!}Ersh(s|I%R}}EOIGqrU!xQv=(_|% z!>=Xfh2a(MdR`^rNj*~i=h7HpVtBFriKjgng7)j*VW<YP?#4;_)oj9@vK0O-Bq@~! zdt(!#d|XqwOz6Hg+Xzv(Yec7}dj>1aVxc1#CpY1dt%BdlU}ckA;hIqno-{hOoFWMO zW61nK@)%`$1oQwO1)?BMPos;Ld?h{n5Yd4)<TR861N2~4$=f+e#S1|bUJ-@A0C|we zUvc6wwMR>`ha`PqV0#gY!zEAsmQpaf_?Hx-GG$S@Q=CxoZe9g>=!A<Rq{p=vbP;iH z&){{<hG^kgcoOqeWH-Xdm?8gLvYcnl*jX<HxXLmaiXxRE2;6xBdz4*4iDBW%7Qy7& zIAv!rvOB2dBTi^JATXymp(!T8rCp-i)E=BG#gC^6NgdbMgtEX7-&HM>soI6O-d*|s z4SLQK!$>f3b?c2kTl!=#g6~EGipS0eky9w4Rh-rb?#uV&w_KAGme+<3A=YKMrbKG{ z!3r_c+3!X2R{04rI^Tx+-ieSf4%kPqxwIp(Vp$Umk_A^e{=Zp732&*?b?Xhz3>`bP zfwBL7HxQ*X{FM>ce8b+l`q2mho%LVwftG^-$@5{z(UPh+2+7~l&libnTiEI~Q5|A6 z6qJAhXCkB7LZ(<!-$+DKXW}R8&5Bn3p)ZuE7H7SH3RlE`zKL;>Cmn~8CtR9p)P7|$ zjV#Rd2tbi}n^gydp5dDt`;mJqCi;k-!HVQHau0*<`vxCQxgv;$Al8dht_XuVrS{H! ze*sqcwd(KFovi8egxA5FW?JxA;)P?lYehMjkR_d465wev0juu+&?7C`AK-{I)f&7? zdW8*>7MBSFKR8^+>!S<%zR?DoBb*--yB|gDr1UEE2Jm4QzcSQ|^gMF&<HDQT`-y>J zjBIf5nh2MoUl6KrmPe*EvK%bn)aJ~j;I>|oe=q^@HHmBN0Jv)5hqc_#4p73ZV|Q@S z_`R~2q$Dt;GYDxdmf=neV3<PZ#;?hFVdj$>4n<4p0M&-!>g}`x^n7W@7g)>;d>_X@ zo1uJon9|~7J7e#Cad)-VTp5~crX5k(gzicSbU>Npi_A{pmVhd;)fF>glCK`$2J^Z& zvm6*TTP+Fdn+67Z=?tFyoAEI!C`H{;dtWt$?WkmNd~`}h&Xzr|k8y2S-w@=LC%af8 zOo?#Y@5GMCYHA@#LS$PJ&a!=C+dkz08E3a^nw?+RCSJdp-%f+zYv$DHuax@X{uhLn zHg=4dyness4TJWLg+vhYE(u4xoxui58W0_)?H`$WOG?mgb3@<COt}%t!4m|<2yJZw zJ2-+*E*XOu*+q>8f3URp=bjZ&c3UEHCOQN_&?kPUX2|opi8f7qOed2WC*{s9G3~vE z0>W)f6;bA~w?FcZ<r7^b%ybFPq=(A+2}(T0#$EYiUFhmdGQ3cCab$!9x@FUEezJ=# zDDXFa-`OaM*#00}<q40q2DMfQkE0u~92Oen(gTCS6=TOIcIWqg;}gu%iTqh#U}`yN z9P?Z1ZDOZ5<VTksLYE6eW{*Dab|QBMeqtakLDCsWPY6_!(a13VO-}CpBSH{4s}2mi z(9<+OB*iTqf({E)A`g9}bycd#dN4RaBJJhiJu$+LlbUnvo1RSCgT8*kvAb9HEe7e) z?7$+;#GKqFhcTeD=efJ{wXm`?=*$S*Nyc7VO2I^ufYAj{gf^quc%c*(Z<vJ^pa*)^ zWE*t=hnOeFwgn4PMGG=$A2>L<bXwF*j0z*IYKG2XxbA>)vR5DLF6SZoo1L#yel21Z zf6~?{=>%C%LW>02S#1BRKvUWWi&St-Y;X#(ZblxwCFcWRO<(BY?n9$cvJJPOOG>6U zMoN%C-#8x)oF=Y=HLxWt128G9ok@+nof<lZV*oc5>ZsL;cs{E^`wR{vSBi0Qs3I{6 zE@=PMlK;XaO-W=JR4<dcEZsru7Db2<8U%Q1F*H1HP7;?0?UVDoWshJ<Ppe?oB|#7n z8G=LDdP5hS12~?w$cV2f1^l#fTr<e<4pxK*evA&|HeHNm0(xNnh4lfU<&4}()aOc> zH&H5yu!6smMa^YmNnjeoTJpK+i9g~V1tH>o&F2XsmJVQ)7wF6H?x3POz~47~4QEA- zJt+TiTIiCqV$$%fOlE6v)+|FPnBh7QG43@xg07c2dxx8%GkAh)!Wzm@S0*(w;UwDj zn$}?ej{R#g@DsZ}(deEgOh64f`)c7MbvJOp&zGDvcg6~bHH#6M5-b<aiHT1v@W)Zz z_ey<1<qczHVtXJ_hYkqkqa;+uNq@&Pmo68EE!gCjq*<qk@%L^$hKLq=l!GT*gz?eu zop(97LpBbML%Yl0vlG~LPyu3K(440Kay_RU=~5Q&i)a!kbaE%l1<f)M_LCy8qDx4Q zpC*l8eh}iOHade%SsqN=w{ZDi{g2b|E^c!2?qWxxq-H>j9HpRX{D({vvx{^Q$JNus z;XHC{3d`T~-d4@GS90T9-SL87ID{-52-*R)m9d2znyt<N=x>z!&T?@783hc#p6#~U zIHr#FdDN>M0j6M-nPtpPPLuNk^#ynG;xyJ1OE_xEfBy-43NJAy4fHI-!dD$4uu~#F z#*ZU~I_jR;5Tv)pt7M7z%Y^OTVn}#AV-?dBN$DHqp)0+X7Do;VEl%Q(qDtQCWc&Pe zy~{&f6gFw$D;51^d{oO_#0UycEb$9J;p+?LvU13}3=1o-46hhBqmkiDLzu!@en+=? zhtNSDJj4<%Kl9g_r@N(B+bVfxgcRdl1)#_iQh-powDhA)I5&TH(fjBF;c|-@jhWZp z=)Nw`8#=Pd!wY+~e0g(!KtTRFu+<y>7z33mez2OYRIDykx4E;6@YG<)XBbs(BV*e( z-YxfVh}@Ov4w|n3?gO~d!<!|)9+$=#5MmY7GOKsOvgM=7L=GaBlD&x+LAEv#%-AH5 zWFpEuu8ZqKPh2@9umuZ_fkYYH`wrKl{4aNmY+NJ55az~9ZgME$geuj4f%;KP&CH@@ zmk>LIoe^$hKnXKzn9}{zX-U0mE161tq;fepD22Hy3ll^A+yTEUMAaIM1Rqq=Y5pk( z=ac6=Kg0wfF8Y*VLBY!(mb@{IKM9-T$SC;hh>sQ%aPL5;)z{VWZE@6tW6?wghjV32 zf$R`?uAzI#j_CY4zQq$(fhkw)jt$^M^K;7qu?*OBtbydyfr7NuStp$Vd6@i#XOYpy zn6^edCv0o6WJr>}cLp_;h>LSiBP|@SO1|X=e$iVB7Tzyu()Rn{!ezmb>D=)mnz*i! z{n6=i9->AhadD-V=?c_2p&vT&wtx|jFb!LF-o1(}X)%$(KD7hV&53B{fuGQOrd!6a zu&^2KCx<2y63j#^j742{X(zjB|Njm?C#z>8Q&m0HWOp!g_Y_*l0-Ot7h;*Fs+ejdM zB+U(BV$#hR5lda7n5!)R?eBdUm>)1=%90*^yC>hIekO?}wZ!t@#}M(n3Qoushj7W) zi>Mf$CRr&yd3iM9C6T7MfJxHm_x+)!4V5e!7Wzf}fh#kNL$)Vtc;KW`y*!Wb$0(>B z0k^&tZXJo2g&}hS59MhB6w(gagzuCW5#2H1O^C?Qdl11zlHI_Vsg{a;0YvP(W$*%L zpWA{CDC&k%ct#c;c;9^ToY);$5^8M0q}<Vy;wJ9HLI*JMeB8}Pj1LQq-|$3FpLv1* zHT##D+Iyxg*PZRVdzvgKs{js_gbq>CIlB-O&;ZWHjbF)AzX?9A^NNp^BHscNr2!Gn zUZ^L2yGCVH&HW>d%XMT&5MgpX)`w5X4^4jCy{5II?!+*>UT8f!ER+I@4vt(J>j!7j z-#!I#Fh2SC7cuge)Lp38iTlPV5wuI|E-{iBis+KGL!eY~NJ%&}GK@Er_x7tr!d)Bo z2<PQ%Vi3dgJ~OPaIQqqL<jHO=`GGSIV#{18xL|q;GU@sFjQxf0fs7UrOAbjNj#l%Q zlF%**1?#ZcQ(ec~nAL0)y%eA$WZF2V3c@f9mRI7n7sLq*;)FTyVe2h#7lV7X`4^LF zDByh|b-z;+xvlp$YIw9eVBXY9M>JcLVL_>A%++9e;}srQzTq}1UGPpQ5$N()Y&)EI zT!nU4@*(6zF<>p=%82#?!&|_DoKRCbw9uoG>)ruI?3RUSVsU4_1#{&1#QBmswK!jP zF)j0Y&_$;-F}~5E8bWJJtp)OE-ImldLt`sG>)^gq>R$#huFq(%Ijl`y@OdD3GCySh zy_44nKpbz0QLGsEm!~u&bzsQFk*Ot1yn!aUO^q0KOPS)tnGO-4-XWAv8Ux8`sXvfX zP$S2U0WCH7QakZskwkFf`1nK*Mk<k=Gz>1h5or`!a77!9myD=}Bi{du+-j8+$_)$! zgL?y7PdL6T?AZ*TK-#c)IGduM-e7ZYLR3~1vd0S!mz6y=1|*dBBV7}=6+9M<h03-7 z!v8(m-CfObir71{m|kHEWTwIg_2g+`A+4V9KUhg3SEXcnQkNjtJ6!i6q3KX}6Q#_B z%stV74nR{>hiB#76Q0QyXJmro;?@tn$O5~K`YmcL?!CBpn1o*!sg3UP=oc|9ED<7~ z*fBhrCo^&wU^Lt4@(v;ZZ@t(j-W9OL3V^EpN2bb<p`m?D%kAI1(YI;Y1cW$0fWQ(@ z`tv<0L{|`}%a%c}FBpQw;SolLfvY2ZO)K})p@z}C=lwc5KE6+!|B=;%JKw@xo$Iqz z-a~`?MyrIRmt>Q#k-26Ya9UE14_J@@13VE}G-n#51|P;HrGOm*1_X8mm-o0<9yn;H z2<Oa1?I0I(NO0H@al#x~KZb;ZQ>jdT`QSxm%M0Imc8@>K8_hlp%4KE$v7u#a=YvE# zAwPO@TG&u=BOIVZ@enWfF5U#ZC7~R8Qag~^3D*XTXtYs{i0{~Fc`&$N6XqK1k#VW~ zi5p+9CMdPDa(&c0iN_l|R~(D%q;w?Kg(7z1DkMt6ghQkXLVA>Bo$!tvu_?ST7_J9} zRJ0Ld1OMOkH87;LK-EK2R*5aK$@x;}g<yXA{4NBrDg#B~1);uwk=HbF1c>k@s2L~$ zeSBn!Gtz*w)l^*4mcyev03w{_y;D?8lIxfJeLbZlv`8>?S$O=gyzPWQq2@)OBA?}9 z>a2dAQW1rx3B(M*s&Fl$IUJA$#BRUB%x*X>FjAOLaff(v%~Zj}N1?>*^Mw34N&pqQ zwDQ%o^>zGC<Lkoiu|qo$G9n1DffQ%-pHnH<TcivQ^OJ1?y91=(6#SQGm)#mx@{Bmg ztMv(C2F(hLHe4o3%OOZ*@GKZl*0>qo^2HkR(w;cQoRXL*c2j#r4|k1G?%|;%g#O3* z$wjCs36D)6`6tyfOd;+({EP_p^fef)ED1Z@RVqbP#CnZfgvbjFc|eUJ;z@(DvQE|q zk*p9vdvigZ9W>I$80|&-5EPDJ$VYYtAgH-|IS}k%E%zh3r1cpVI&NO<5R68K8mER7 z9_S9iwMi~4ZFm4JzMD^`nr5%=KT2LD4`WeI4%y-?ai}%7c=Vs}TWf%yPgroqkRjnj zVv_eKWS~%^Hbi?r&^2rs_Zhme8RWWX&010l1Qiw=j4F|#Y~3r|5C<fudmT7=X=J=R zqhU7M&c<}d9>c;D`OOj8up-voy93}T0&Oz#RoW}rK{GG&aX`dAmKuz>7T}M_Z*K@n zTS>nkxVpZ;Wa#8Vj11&w6{4qEBm|kFgeb)LKyA2(y0{ZL)=;trMdA~a#U0<!drSdW zg(0<wUCA=F-FF4$6RTvB#dKsVTwaU<G7jNsYVrb~?@NMe3|^L``pqxa;FT>c!{-da zU1TgHcKkq^$qHmCX$ZbboHB*Z{4Cv)Fry@-dihlj+JD#_u|F7iXG0S1oZ;1ljnwm8 zw^x1_v<^oW!uVr=GU|y$p)fBozP(N4z&)Y)6DH+b3TQ^2CWgx*q6B>WSC>PxyUqM_ z(q-X5Z6m}wY2CwGvB4R@r6vaoSHgJDala!r#cPhytx@dMkxhhE5W^O3DTrG!r;RBY zZ*XMxBF3@#ks%p92w2udOaT(s$SHrB384<*1>rt`6))(ClU(1?J*V=&f|`y6=kJgB zhXQp!CkzR1SWwb9xUr+=;V6a#RZ?+R5Izj?qwsYh8?5->j9S`9kBM&yVrr14OcGO8 zhbkZ}iY}=#94PVZyba6oV(0#VyMkyLnp_RWr*0^j6hi{(f)Sq@tTEjwZm~MfWTRM> z9fI2(fngtFfo`}wo?tDzHfhA*@T()C<H=y7F8hL+B+970{Gv<PM)YhI58%qXMC=}y zx+8ja4dWy<9~?wL4@T0P1{i%jDh_>7X(~6FLeZZP0oCQ%(bQ9oJGb;@AS>L{OolT- zo!8JL8xM=z0dhE^|6In{(AP~cFkfc{ljQ@9y38>Shhj;Io|l4=p+*Frx0Bfj9ip%x zB}l7&3{6guNn!as=!SMf>I=H3O7YK(fHXRdoRed|hxbN?Dat(&NW2Bc<zR?7s$gwc zxhCBC{Wp^shm+ov5GZGA`;$Q{_*8C&Ev9!#I|J$ucz6W#pnrlA6uZ9VD6l`JphmC% zq@<|J$-zF7BXUrxWERcP9z01y;1XedT+c~U4BoO8`Ai*R*zvM@rMxytbF3m)91({| zAK?>cI^$Qqr8GPeZur32rxf_k;K>xVnk9id`dvj}iVtHj5HS-h+SUx~L2B&pU-3So z%3;FgddMW3F$O<LL8BM4<m;1S+h7r|BzN{aZ#|I^HUQK4eFydt4=LbOv|el`7aDR~ z8`;Ynja`+JfPX%)d{`%6_)Qvsz??Q^5};ynO~{oh!xVnCm+r*w03O#pk~jh`Y=E05 z)Gq~&k&1uU(D-4vg3}p&{YL$$D=BFQ-}>1@(cpEYhnw+9dpwCe<W-zJdv9GCcG1o* z>I#}fw^L`b<MH=T>3Nj|esWnFp11v|e$Ef-X|i{=b8YHDP$=SjlLNz_FyB!IugLex zV51`F^%ger=nfdrGE15mq8#x2%`?M>nJ~-@n#gcIc})X|<@*M-<RkGy5MIC`fww!t zYhophgo`I91}^kRVg_Q?v+x^)mD;MX4HwpeR2&Wy+6vAPK}6%|vITK-caN4~E3-<- z@yQIp2qHnpFlFKG*Zh?S_JKu|0r46dP%Lnlfdf*2hjJ^5gYN>XZW+(U{lSC^wfc+d z{%)xk#`y9iCYg#LLJp2l)I}ZCP=_fc7}H-~zLgLf+OEh^#HnVxY{aJu90dkC??I<C z{|l2K#GRo}10R8Ki_C=5{<-An2|_E~4{<fv^5KK-G4=&L@5cUNJCeDIANxqBuq1hH zNlBQI-2S}N7V1ZYU{WTOn!YktDA$Hn9{Vn3q03HSN*4Nfm5(QL-|N4z1+O$mMz@XE zB<hTA?x(|pzf+fV%R&7=<semxR}>e^{*cm0f#yo_)qZsu9PR_SqeTc^<8FC=I9TZJ zEx5ui4uM4y3t@;SN$Ttbm<$xzDwg(gSW})L=NXQu;l`V9C?Mm=;<U-EvrV|@eoyH) zA!-WD8WO9`TuD^AQ{a7TdU4&UGmncSzMTVS@`dY4h_)MFqcYz_NCJ(@xG+$lJ&BM) z*=*!dpC%9kbU}t^szNq0m<xA=HW+b-G@GvM4y>f*vDJhYV|VM{6^c3<kBM8hG+oNU zk<)GwpRMk+jUTop+bb;tCMBQ;E7kwLe(jA3Gvod-2L=-twAvhxMl5w15b%>?0O)U< zQtSt2ijvdmeBM{aHUmHR4rak+yE6%>Fu8+~!t4%)=#qvA5&BELoaF%Q<)60Edv+e% zd%8w+d^^fbEm4D?_)152Agud6U-6h;E@mbpS;VIzNWn_xt{VBNJ3s2Yf9-{}VJ78x z_qZWxp68u3(1aY=m7buMoI*pc<syMy!oui(+pm*ZlN*HFK4XjFN9PVq@;?gY`sofN zsXls_ph?Vpb{ZZ&R<i+yIn|jHySP9iEtg&0-eWb{o!}Q)NGhy!h5JXq!#GM99v&Zr zR;q&<&b<bASyvYtZp34NG~aLsWY{8q%aiG9Q;?QT7FS*Twj2;5daYz{`g%Ea84Q~2 zlxF<%C&dR<_KG#MN~vg8e!&)KVrMB(@4-koU|b@Hn3#(U4I2YOt63jf7i8N0OH2}1 ziAeq&_*_A-{G?2AOCrO3^OpBWVPFgm$V^YkqMM#P&aR5Hw~AFw4~-|Lv$)dcO{aeL zj$3xK*hB7~Y0F0J&*XK9A8APmwk{<>e8;CqnwIf*0$1}y!_$=r&{C>L-TjnUrmNJY z)HfVeH7ykj_=%{qMTk!g%!1C83X-l)s>rNm%p)%h(^o=qh3Q);Mq~rA1E_ciD^$EB zI>jLb&sbk*a?oZu^9FjQ*z#d6JR|V}G^;LegkffPh4%d-k;Fp(!Kg{H?V@y8mYWPW zGN93KQ^33>QGC{ASm^JPfFbkAlfstKb$v=gO?s<z2C*y1dSRkLsv=0>j&XhHY3W#e z5|KRKIQG~xj?Z7WM3WuObS{!!($no6`vM@zSq@@gC=kU3T(za8=3X4Dmx3q<^)ob# zR4?ZRvip9q((Kc-XNv^GmeQkjLcsBG2kZ58zNQBs&+HZN?%z#r2@h@=bG$zv;|S-F s3x*=Qri}^xL>ef5Ck*N2L2;(SF0#G4gpkbiYmgN8KUId9=vfa00K}cLD*ylh -- 1.5.6.5

13 years, 10 months

last-svn-commit-212-g4d87541 Fix bugs in the histogram visualization tools.

by green

* green/mln/display/display_histo.cc: Add new vizualisations. * green/mln/display/project_histo.cc: Add new color projections. --- milena/sandbox/ChangeLog | 7 + milena/sandbox/green/mln/display/display_histo.hh | 75 ++++-- milena/sandbox/green/mln/display/project_histo.hh | 341 +++++++++++++-------- 3 files changed, 279 insertions(+), 144 deletions(-) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 861e635..7cab790 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -77,6 +77,13 @@ 2010-02-10 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Fix bugs in the histogram visualization tools. + + * green/mln/display/display_histo.cc: Add new vizualisations. + * green/mln/display/project_histo.cc: Add new color projections. + +2010-02-10 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Fix last details in the image processing chain. * green/tools/annotating/histo/histo.cc: Manage new inputs/outputs. diff --git a/milena/sandbox/green/mln/display/display_histo.hh b/milena/sandbox/green/mln/display/display_histo.hh index 2ba0b61..ef47182 100644 --- a/milena/sandbox/green/mln/display/display_histo.hh +++ b/milena/sandbox/green/mln/display/display_histo.hh @@ -29,12 +29,14 @@ # define MLN_DISPLAY_DISPLAY_HISTO_HH # include <mln/accu/math/sum.hh> +# include <mln/algebra/vec.hh> # include <mln/data/stretch.hh> # include <mln/display/project_histo.hh> # include <mln/fun/v2v/log.hh> # include <mln/value/int_u8.hh> # include <mln/value/rgb8.hh> # include <mln/value/label_8.hh> +# include <mln/util/array.hh> /// \file @@ -57,19 +59,28 @@ namespace mln image2d<value::int_u8> display_histo3d_unsigned(const image3d<unsigned>& histo); - image2d<value::int_u8> - display2_histo3d_unsigned(const image3d<unsigned>& histo); + template <unsigned n> + image2d< value::int_u<n> > + display2_histo3d_unsigned(const image3d<unsigned>& histo, + const value::int_u<n> ambiguous_color); + template <unsigned n> image2d<value::label_8> display2_histo3d_unsigned(const image3d<unsigned>& histo, - const image3d<value::label_8>& label); + const image3d<value::label_8>& label, + const value::label_8 ambiguous_label); - image2d<value::rgb8> - display3_histo3d_unsigned(const image3d<unsigned>& histo); + template <unsigned n> + image2d< value::rgb<n> > + display3_histo3d_unsigned(const image3d<unsigned>& histo, + const value::rgb<n> ambiguous_color); - image2d<value::rgb8> - display3_histo3d_unsigned(const image3d<unsigned>& histo, - const image3d<value::label_8>& label); + template <unsigned n> + image2d< value::rgb8 > + display3_histo3d_unsigned(const image3d<unsigned>& histo, + const image3d<value::label_8>& label, + const util::array< algebra::vec<3,float> >& pal, + const value::rgb8 ambiguous_color); #ifndef MLN_INCLUDE_ONLY @@ -87,7 +98,7 @@ namespace mln /// \parameter[in] histo the histogram in 3d. /// \result return a equivalent 2d image. - + // FIXME : display_shape [in int_u8] image2d<value::int_u8> display_histo3d_unsigned(const image3d<unsigned>& histo) { @@ -102,40 +113,62 @@ namespace mln return proj_int; } - image2d<value::int_u8> - display2_histo3d_unsigned(const image3d<unsigned>& histo) + // FIXME : display_color [in int_un] + template <unsigned n> + image2d< value::int_u<n> > + display2_histo3d_unsigned(const image3d<unsigned>& histo, + const value::int_u<n> ambiguous_color) { - image2d<value::int_u8> proj = project2_histo<0>(histo); + image2d< value::int_u<n> > proj = project2_histo<n,0>(histo, + ambiguous_color); return proj; } + // FIXME : display_label [in label] + template <unsigned n> image2d<value::label_8> display2_histo3d_unsigned(const image3d<unsigned>& histo, - const image3d<value::label_8>& label) + const image3d<value::label_8>& label, + const value::label_8 ambiguous_label) { - image2d<value::label_8> proj = project2_histo<0>(histo, label); + image2d<value::label_8> proj = project2_histo<n,0>(histo, + label, + ambiguous_label); return proj; } - image2d<value::rgb8> - display3_histo3d_unsigned(const image3d<unsigned>& histo) + // FIXME : display_color [in color] + template <unsigned n> + image2d< value::rgb<n> > + display3_histo3d_unsigned(const image3d<unsigned>& histo, + const value::rgb<n> ambiguous_color) { - image2d<value::rgb8> proj = project3_histo<0>(histo); + image2d< value::rgb<n> > proj = project3_histo<n,0>(histo, + ambiguous_color); return proj; } - image2d<value::rgb8> - display3_histo3d_unsigned(const image3d<unsigned>& histo, - const image3d<value::label_8>& label) + + // FIXME : display_label [in color] + template <unsigned n> + image2d< value::rgb8 > + display3_histo3d_unsigned(const image3d<unsigned>& histo, + const image3d<value::label_8>& label, + const util::array<algebra::vec<3,float> >& pal, + const value::rgb8 ambiguous_color) { - image2d<value::rgb8> proj = project3_histo<0>(histo, label); + image2d< value::rgb8 > proj = project3_histo<n,0>(histo, + label, + pal, + ambiguous_color); return proj; } + #endif // ! MLN_INCLUDE_ONLY diff --git a/milena/sandbox/green/mln/display/project_histo.hh b/milena/sandbox/green/mln/display/project_histo.hh index d842c70..30bcd6d 100644 --- a/milena/sandbox/green/mln/display/project_histo.hh +++ b/milena/sandbox/green/mln/display/project_histo.hh @@ -37,12 +37,16 @@ # include <mln/accu/image/take.hh> # include <mln/accu/image/to_result.hh> +# include <mln/algebra/vec.hh> + # include <mln/opt/at.hh> # include <mln/value/int_u8.hh> # include <mln/value/rgb8.hh> # include <mln/value/label_8.hh> +# include <mln/util/array.hh> + /// \file /// /// \brief Allow the visualization of 3d histogram. @@ -60,9 +64,30 @@ namespace mln image2d<mln_result(A)> project_histo(const image3d<V>& histo); - template <typename A, unsigned direction, typename V> + template <typename A, unsigned n, unsigned direction, typename V> image2d<mln_result(A)> - project2_histo(const image3d<V>& histo); + project2_histo(const image3d<V>& histo, + const value::int_u<n>& ambiguous_color); + + template <unsigned n, unsigned direction, typename V> + image2d<V> + project2_histo(const image3d<unsigned>& histo, + const image3d<V>& label); + + template <unsigned n, unsigned direction> + image2d< value::rgb<n> > + project3_histo(const image3d<unsigned>& histo, + const value::rgb<n> ambiguous_color); + + template <unsigned n, unsigned direction> + image2d< value::rgb8 > + project3_histo(const image3d<unsigned>& histo, + const image3d<value::label_8>& label, + const util::array<algebra::vec<3, float> >& pal, + const value::rgb8 ambiguous_color); + // FIXME ==> palette must be 1d-image not an array !! + + # ifndef MLN_INCLUDE_ONLY @@ -96,80 +121,96 @@ namespace mln return accu::image::to_result(histo_accu); } - template <unsigned direction> - image2d<value::int_u8> - project2_histo(const image3d<unsigned>& histo) + // 0 ==> blue + // 1 ==> red + // 2 ==> green + + // mln::opt::at(histo, blue, red, green) + + template <unsigned n, unsigned direction> + image2d< value::int_u<n> > + project2_histo(const image3d<unsigned>& histo, + const value::int_u<n>& ambiguous_color) { - image2d<value::int_u8> result; + image2d< value::int_u<n> > result; if (0 == direction) // blue { - image2d<value::int_u8> arg_max(histo.ncols(), histo.nslices()); + image2d< value::int_u<n> > arg_max(histo.nrows(), histo.ncols()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nslices(); ++i) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - unsigned max = 0; // minimum as possible - signed pos = -1; + unsigned max = 0; // minimum as possible + def::coord pos = -1; - for (unsigned k = 0; k < histo.nrows(); ++k) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = blue; } } - opt::at(arg_max,i,j) = pos; + if (-1 == pos) + opt::at(arg_max,red,green) = ambiguous_color; + else + opt::at(arg_max,red,green) = pos; } result = arg_max; } else if (1 == direction) // red { - image2d<value::int_u8> arg_max(histo.nrows(), histo.nslices()); + image2d< value::int_u<n> > arg_max(histo.ncols(), histo.nslices()); - for (unsigned j = 0; j < histo.nslices(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.ncols(); ++k) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = red; } } - opt::at(arg_max,i,j) = pos; + if (-1 == pos) + opt::at(arg_max,green,blue) = ambiguous_color; + else + opt::at(arg_max,green,blue) = pos; } result = arg_max; } else // 2 == direction // green { - image2d<value::int_u8> arg_max(histo.nrows(), histo.ncols()); + image2d< value::int_u<n> > arg_max(histo.nrows(), histo.nslices()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.nslices(); ++k) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = green; } } - opt::at(arg_max,i,j) = pos; + if (-1 == pos) + opt::at(arg_max,red,blue) = ambiguous_color; + else + opt::at(arg_max,red,blue) = pos; } result = arg_max; @@ -178,81 +219,91 @@ namespace mln return result; } - template <unsigned direction> + template <unsigned n, unsigned direction> image2d<value::label_8> project2_histo(const image3d<unsigned>& histo, - const image3d<value::label_8>& label) + const image3d<value::label_8>& label, + const value::label_8 ambiguous_label) { image2d<value::label_8> result; if (0 == direction) // blue { - image2d<value::label_8> arg_max(histo.ncols(), histo.nslices()); + image2d<value::label_8> arg_max(histo.nrows(), histo.ncols()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nslices(); ++i) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - unsigned max = 0; // minimum as possible - signed pos = -1; + unsigned max = 0; // minimum as possible + def::coord pos = -1; - for (unsigned k = 0; k < histo.nrows(); ++k) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = blue; } } - opt::at(arg_max,i,j) = opt::at(label,i,j,pos); + if (-1 == pos) + opt::at(arg_max,red,green) = ambiguous_label; + else + opt::at(arg_max,red,green) = opt::at(label, pos, red, green); } result = arg_max; } else if (1 == direction) // red { - image2d<value::label_8> arg_max(histo.nrows(), histo.nslices()); + image2d<value::label_8> arg_max(histo.ncols(), histo.nslices()); - for (unsigned j = 0; j < histo.nslices(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.ncols(); ++k) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = red; } } - opt::at(arg_max,i,j) = opt::at(label,pos,i,j); + if (-1 == pos) + opt::at(arg_max,green,blue) = ambiguous_label; + else + opt::at(arg_max,green,blue) = opt::at(label, blue, pos, green); } result = arg_max; } else // 2 == direction // green { - image2d<value::label_8> arg_max(histo.nrows(), histo.ncols()); + image2d<value::label_8> arg_max(histo.nrows(), histo.nslices()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.nslices(); ++k) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = green; } } - opt::at(arg_max,i,j) = opt::at(label,i,pos,j); + if (-1 == pos) + opt::at(arg_max,red,blue) = ambiguous_label; + else + opt::at(arg_max,red,blue) = opt::at(label, blue, red, pos); } result = arg_max; @@ -262,83 +313,117 @@ namespace mln } + + // FIXME ... determine the color of each class. - template <unsigned direction> - image2d<value::rgb8> - project3_histo(const image3d<unsigned>& histo, - const image3d<value::label_8>& label) + // FIXME la palette est supposée en 8 bits + template <unsigned n, unsigned direction> + image2d< value::rgb8 > + project3_histo(const image3d<unsigned>& histo, + const image3d<value::label_8>& label, + const util::array<algebra::vec<3,float> >& pal, + const value::rgb8 ambiguous_color) { - image2d<value::rgb8> result; + image2d< value::rgb8 > result; if (0 == direction) // blue { - image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices()); + image2d< value::rgb8 > arg_max(histo.nrows(), histo.ncols()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nslices(); ++i) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - unsigned max = 0; // minimum as possible - signed pos = -1; + unsigned max = 0; // minimum as possible + def::coord pos = -1; - for (unsigned k = 0; k < histo.nrows(); ++k) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = blue; } } - opt::at(arg_max,i,j) = value::rgb8(i,j,pos); + if (-1 == pos) + opt::at(arg_max,red,green) = ambiguous_color; + else + { + value::int_u8 r = pal[opt::at(label,pos,red,green)][0]; + value::int_u8 g = pal[opt::at(label,pos,red,green)][1]; + value::int_u8 b = pal[opt::at(label,pos,red,green)][2]; + value::rgb8 color(r,g,b); + + opt::at(arg_max,red,green) = color; + } } result = arg_max; } else if (1 == direction) // red { - image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices()); + image2d< value::rgb8 > arg_max(histo.ncols(), histo.nslices()); - for (unsigned j = 0; j < histo.nslices(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.ncols(); ++k) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = red; } } - opt::at(arg_max,i,j) = value::rgb8(pos,i,j); + if (-1 == pos) + opt::at(arg_max,green,blue) = ambiguous_color; + else + { + value::int_u8 r = pal[opt::at(label,blue,pos,green)][0]; + value::int_u8 g = pal[opt::at(label,blue,pos,green)][1]; + value::int_u8 b = pal[opt::at(label,blue,pos,green)][2]; + value::rgb8 color(r,g,b); + + opt::at(arg_max,green,blue) = color; + } } result = arg_max; } else // 2 == direction // green { - image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols()); + image2d< value::rgb8 > arg_max(histo.nrows(), histo.nslices()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.nslices(); ++k) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = green; } } - // FIXME ... how to fix the n of rgb - opt::at(arg_max,i,j) = value::rgb8(i,pos,j); + if (-1 == pos) + opt::at(arg_max,red,blue) = ambiguous_color; + else + { + value::int_u8 r = pal[opt::at(label,blue,red,pos)][0]; + value::int_u8 g = pal[opt::at(label,blue,red,pos)][1]; + value::int_u8 b = pal[opt::at(label,blue,red,pos)][2]; + value::rgb8 color(r,g,b); + + opt::at(arg_max,red,blue) = color; + } } result = arg_max; @@ -347,81 +432,91 @@ namespace mln return result; } - template <unsigned direction> - image2d<value::rgb8> - project3_histo(const image3d<unsigned>& histo) + + template <unsigned n, unsigned direction> + image2d< value::rgb<n> > + project3_histo(const image3d<unsigned>& histo, + const value::rgb<n> ambiguous_color) { - image2d<value::rgb8> result; + image2d< value::rgb<n> > result; if (0 == direction) // blue { - image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices()); + image2d< value::rgb<n> > arg_max(histo.nrows(), histo.ncols()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nslices(); ++i) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - unsigned max = 0; // minimum as possible - signed pos = -1; + unsigned max = 0; // minimum as possible + def::coord pos = -1; - for (unsigned k = 0; k < histo.nrows(); ++k) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = blue; } } - opt::at(arg_max,i,j) = value::rgb8(i,j,pos); + if (-1 == pos) + opt::at(arg_max,red,green) = ambiguous_color; + else + opt::at(arg_max,red,green) = value::rgb<n>(red,green,pos); } result = arg_max; } else if (1 == direction) // red { - image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices()); + image2d< value::rgb<n> > arg_max(histo.ncols(), histo.nslices()); - for (unsigned j = 0; j < histo.nslices(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.ncols(); ++k) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = red; } } - opt::at(arg_max,i,j) = value::rgb8(pos,i,j); + if (-1 == pos) + opt::at(arg_max,green,blue) = ambiguous_color; + else + opt::at(arg_max,green,blue) = value::rgb<n>(pos,green,blue);; } result = arg_max; } else // 2 == direction // green { - image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols()); + image2d< value::rgb<n> > arg_max(histo.nrows(), histo.nslices()); - for (unsigned j = 0; j < histo.ncols(); ++j) - for (unsigned i = 0; i < histo.nrows(); ++i) + for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue) + for (def::coord red = 0; red < (signed)histo.nrows(); ++red) { unsigned max = 0; // minimum as possible signed pos = -1; - for (unsigned k = 0; k < histo.nslices(); ++k) + for (def::coord green = 0; green < (signed)histo.ncols(); ++green) { - if (max <= opt::at(histo,i,j,k)) + if (max < opt::at(histo,blue,red,green)) { - max = opt::at(histo,i,j,k); - pos = k; + max = opt::at(histo,blue,red,green); + pos = green; } } - // FIXME ... how to fix the n of rgb - opt::at(arg_max,i,j) = value::rgb8(i,pos,j); + if (-1 == pos) + opt::at(arg_max,red,blue) = ambiguous_color; + else + opt::at(arg_max,red,blue) = value::rgb<n>(red,pos,blue); } result = arg_max; -- 1.5.6.5

13 years, 10 months

last-svn-commit-211-gb57d26e Fix last details in the image processing chain.

by green

* green/tools/annotating/histo/histo.cc: Manage new inputs/outputs. * green/tools/annotating/opening/opening.cc: Manage new inputs/outputs. * green/tools/annotating/iz/Makefile.am: New Makefile. * green/tools/annotating/iz/iz.cc: New file. * green/tools/annotating/regmax/regmax.cc: Manage new inputs/outputs. --- milena/sandbox/ChangeLog | 10 + .../sandbox/green/tools/annotating/histo/histo.cc | 84 +++-- .../tools/annotating/{histo => iz}/Makefile.am | 0 milena/sandbox/green/tools/annotating/iz/iz.cc | 373 ++++++++++++++++++++ .../green/tools/annotating/opening/opening.cc | 76 +++-- .../green/tools/annotating/regmax/regmax.cc | 253 ++++++++++++-- 6 files changed, 714 insertions(+), 82 deletions(-) copy milena/sandbox/green/tools/annotating/{histo => iz}/Makefile.am (100%) create mode 100644 milena/sandbox/green/tools/annotating/iz/iz.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index f56ea7a..861e635 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -75,6 +75,16 @@ * bin/pgm_to_pbm.cc, * bin/ppm_negate.cc: New. +2010-02-10 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Fix last details in the image processing chain. + + * green/tools/annotating/histo/histo.cc: Manage new inputs/outputs. + * green/tools/annotating/opening/opening.cc: Manage new inputs/outputs. + * green/tools/annotating/iz/Makefile.am: New Makefile. + * green/tools/annotating/iz/iz.cc: New file. + * green/tools/annotating/regmax/regmax.cc: Manage new inputs/outputs. + 2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Extend the histogram visualization tools for new projection concept. diff --git a/milena/sandbox/green/tools/annotating/histo/histo.cc b/milena/sandbox/green/tools/annotating/histo/histo.cc index ab0b8af..8037e1a 100644 --- a/milena/sandbox/green/tools/annotating/histo/histo.cc +++ b/milena/sandbox/green/tools/annotating/histo/histo.cc @@ -16,14 +16,14 @@ #include <mln/fun/v2v/rgb8_to_rgbn.hh> -#include <mln/io/dump/save.hh> #include <mln/io/pbm/load.hh> -#include <mln/io/pbm/save.hh> -#include <mln/io/pgm/load.hh> -#include <mln/io/pgm/save.hh> #include <mln/io/ppm/load.hh> +#include <mln/io/dump/save.hh> +#include <mln/io/pgm/save.hh> #include <mln/io/ppm/save.hh> +#include <mln/literal/colors.hh> + #include <mln/opt/at.hh> #include <mln/pw/value.hh> @@ -33,15 +33,19 @@ template <unsigned n> -void mk_histo(const std::string& input, - const std::string& output, - const std::string& histo, - const std::string& mask) +void mk_histo(const std::string& input, // in + const std::string& quant, // in + const std::string& histo, // out + const std::string& proj1, // out + const std::string& proj2, // out + const std::string& mask) // [in] { typedef mln::value::int_u8 t_int_u8; + typedef mln::value::int_u<n> t_int_un; typedef mln::value::rgb8 t_rgb8; typedef mln::value::rgb<n> t_rgbn; typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_int_un> t_image2d_int_un; typedef mln::image2d<t_rgb8> t_image2d_rgb8; typedef mln::image2d<t_rgbn> t_image2d_rgbn; typedef mln::image2d<bool> t_image2d_bool; @@ -54,7 +58,9 @@ void mk_histo(const std::string& input, t_image2d_rgbn i1_input; // input rgbn t_image2d_bool m0_input; // mask input t_histo3d h1_input; // histo input - t_image2d_int_u8 p1_histo; // histo proj + t_image2d_int_u8 p1_histo1;// histo proj1 + t_image2d_rgbn p1_histo2;// histo proj2 + t_rgbn red(mln::literal::red); mln::io::ppm::load(i0_input, input.c_str()); i1_input = mln::data::transform(i0_input, t_rgb8_to_rgbn()); @@ -72,9 +78,13 @@ void mk_histo(const std::string& input, // END OF IMAGE PROCESSING CHAIN // BEGIN DUMPING - p1_histo = mln::display::display_histo3d_unsigned(h1_input); + p1_histo1 = mln::display::display_histo3d_unsigned(h1_input); + p1_histo2 = mln::display::display3_histo3d_unsigned(h1_input, red); + + mln::io::ppm::save(i1_input, quant.c_str()); mln::io::dump::save(h1_input, histo.c_str()); - mln::io::pgm::save(p1_histo, output.c_str()); + mln::io::pgm::save(p1_histo1, proj1.c_str()); + mln::io::ppm::save(p1_histo2, proj2.c_str()); // END DUMPING } @@ -82,35 +92,47 @@ void mk_histo(const std::string& input, void usage() { std::cout << std::endl; - std::cout << "histo input.ppm q out.ppm histo.dump [msk.pbm]" << std::endl; - std::cout << "where" << std::endl; - std::cout << "input.ppm is the 8 bits color ppm image" << std::endl; - std::cout << "q is the degree of quanification {2,3,4,5,6,7,8}" << std::endl; - std::cout << "out.pgm is the r/g projection of the histogram" << std::endl; - std::cout << "out.dump is the quantified color histogram" << std::endl; - std::cout << "msk.pbm is the mask which select the pixels" << std::endl; + std::cout << "histo input.ppm q quant.ppm histo.dump proj.pgm" + << " proj.ppm [msk.pbm]" << std::endl; + std::cout << std::endl; + std::cout << "where :" << std::endl; + std::cout << "* [ in] input.ppm is the 8 bits color ppm image" << std::endl; + std::cout << "* [ in] q is the degree of quantification" + << " {2,3,4,5,6,7,8}" << std::endl; + std::cout << "* [out] quant.ppm is the q bits quantified input" + << " image" << std::endl; + std::cout << "* [out] histo.dump is the quantified color" + << " histogram" << std::endl; + std::cout << "* [out] proj.pgm is the r/g projection of the" + << " histogram (summing along the blue axe)" << std::endl; + std::cout << "* [out] proj.ppm is the r/g projection of the" + << " histogram with maxima plot on" << std::endl; + std::cout << "* [ in] msk.pbm is the mask which selects the" + << " pixels" << std::endl; std::cout << std::endl; } int main(int argc, char* args[]) { - if (5 == argc || 6 == argc) + if (7 == argc || 8 == argc) { - const std::string input(args[1]); - const char q = args[2][0]; - const std::string output(args[3]); - const std::string histo(args[4]); - const std::string mask(6 == argc? args[5] : ""); + const std::string input(args[1]); // in + const char q = args[2][0]; // in + const std::string quant(args[3]); // out + const std::string histo(args[4]); // out + const std::string proj1(args[5]); // out + const std::string proj2(args[6]); // out + const std::string mask(8 == argc? args[7] : ""); // [in] switch(q) { - case '2': mk_histo<2>(input, output, histo, mask); break; - case '3': mk_histo<3>(input, output, histo, mask); break; - case '4': mk_histo<4>(input, output, histo, mask); break; - case '5': mk_histo<5>(input, output, histo, mask); break; - case '6': mk_histo<6>(input, output, histo, mask); break; - case '7': mk_histo<7>(input, output, histo, mask); break; - case '8': mk_histo<8>(input, output, histo, mask); break; + case '2': mk_histo<2>(input, quant, histo, proj1, proj2, mask); break; + case '3': mk_histo<3>(input, quant, histo, proj1, proj2, mask); break; + case '4': mk_histo<4>(input, quant, histo, proj1, proj2, mask); break; + case '5': mk_histo<5>(input, quant, histo, proj1, proj2, mask); break; + case '6': mk_histo<6>(input, quant, histo, proj1, proj2, mask); break; + case '7': mk_histo<7>(input, quant, histo, proj1, proj2, mask); break; + case '8': mk_histo<8>(input, quant, histo, proj1, proj2, mask); break; default: usage(); break; } } diff --git a/milena/sandbox/green/tools/annotating/histo/Makefile.am b/milena/sandbox/green/tools/annotating/iz/Makefile.am similarity index 100% copy from milena/sandbox/green/tools/annotating/histo/Makefile.am copy to milena/sandbox/green/tools/annotating/iz/Makefile.am diff --git a/milena/sandbox/green/tools/annotating/iz/iz.cc b/milena/sandbox/green/tools/annotating/iz/iz.cc new file mode 100644 index 0000000..07e5dd9 --- /dev/null +++ b/milena/sandbox/green/tools/annotating/iz/iz.cc @@ -0,0 +1,373 @@ +// TOOLS ==> influence zone transformation + +#include <iostream> +#include <fstream> +#include <boost/format.hpp> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/macros.hh> +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> + +#include <mln/data/compute.hh> + +#include <mln/display/display_histo.hh> + +#include <mln/io/dump/load.hh> +#include <mln/io/dump/save.hh> +#include <mln/io/ppm/load.hh> +#include <mln/io/ppm/save.hh> +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> + +#include <mln/literal/colors.hh> + +#include <mln/labeling/compute.hh> +#include <mln/labeling/mean_values.hh> + +#include <mln/transform/influence_zone_geodesic.hh> + +#include <mln/value/int_u8.hh> + +template <unsigned n> +struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> > +{ + typedef mln::value::rgb<n> t_rgbn; + typedef mln::value::label_8 t_lbl8; + typedef t_rgbn argument; + typedef t_lbl8 result; + typedef mln::image3d<t_lbl8> t_label; + + const t_label& _label; + + t_labeling_rgbn(const t_label& label) : _label(label) {} + + result operator()(const argument& c) const + { + t_lbl8 tmp = mln::opt::at(_label, c.blue(), c.red(), c.green()); + + return tmp; + } +}; + +void compute_stats(const mln::image2d<mln::value::rgb8>& i_input_rgb8, + const mln::image2d<mln::value::label_8>& l_input_lbl8, + const mln::image3d<unsigned>& h_histo_rgbn, + const mln::image3d<mln::value::label_8>& l_histo_lbl8, + const mln::value::label_8& n_labels, + const std::string& log) +{ + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::accu::math::sum<unsigned,unsigned> t_sum; + typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean; + typedef mln::util::array<unsigned> t_count_array; + typedef mln::util::array<t_vec3f> t_mean_array; + + mln::util::array<float> abs((unsigned)(n_labels)+1); + mln::util::array<float> rel((unsigned)(n_labels)+1); + unsigned nb = 0; + + for (unsigned i = 0; i <= n_labels; ++i) + { + abs[i] = 0.0; + rel[i] = 0.0; + } + + // COMPUTE THE SUM + t_count_array count = mln::labeling::compute(t_sum(), + h_histo_rgbn, + l_histo_lbl8, + n_labels); + + // COMPUTE THE TOTAL + for (unsigned i = 0; i <= n_labels; ++i) + { + unsigned c = count[i]; + nb += c; + } + + // COMPUTE THE PERCENTAGES + for (unsigned i = 0; i <= n_labels; ++i) + if (0 < count[i]) + { + abs[i] = ((float)count[i] / nb)*100.0; + rel[i] = ((float)count[i] / (nb - count[0]))*100.0; + } + + // COMPUTE THE MEAN + + t_mean_array mean = mln::labeling::compute(t_mean(), + i_input_rgb8, + l_input_lbl8, + n_labels); + + // CORRECT 0 LABEL STATS + rel[0] = 0; + mean[0][0] = 255.0; + mean[0][1] = 255.0; + mean[0][2] = 0.0; + + // PRINT STATS + std::ofstream log_stream(log.c_str()); + + for (unsigned i = 0; i <= n_labels; ++i) + { + const t_vec3f& mean_v = mean[i]; + + log_stream << boost::format("%2i|" + "r = %6.2f, g = %6.2f, b = %6.2f |" + "c = %7i, %%i = %5.2f, %%c = %5.2f") + % i + % mean_v[0] + % mean_v[1] + % mean_v[2] + % count[i] + % abs[i] + % rel[i] + << std::endl; + } + + log_stream << std::endl << std::endl; + log_stream.flush(); + log_stream.close(); +} + +bool expect(std::istream& stream, const std::string expected) +{ + bool result; + std::string got; + + stream >> got; + + result = (got == expected); + + return result; +} + +std::istream& operator>>(std::istream& stream, + mln::algebra::vec<3,float>& color) +{ + unsigned lbl; + + stream >> lbl; + if (expect(stream, std::string("|")) && + expect(stream, std::string("r")) && + expect(stream, std::string("="))) + { + stream >> color[0]; + + if (expect(stream, std::string(",")) && + expect(stream, std::string("g")) && + expect(stream, std::string("="))) + { + stream >> color[1]; + + if (expect(stream, std::string(",")) && + expect(stream, std::string("b")) && + expect(stream, std::string("="))) + { + stream >> color[2]; + } + } + } + + return stream; +} + +void load(mln::util::array< mln::algebra::vec<3,float> >& m2_label, + const char *colormap) +{ + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::util::array<t_vec3f> t_mean_array; + + std::ifstream stream(colormap); + std::string buffer; + + getline(stream, buffer); + + while (0 < buffer.size()) + { + std::stringstream line(buffer); + t_vec3f mean_v; + + line >> mean_v; + + m2_label.append(mean_v); + + getline(stream, buffer); + } + + stream.close(); +} + +template<unsigned n> +void mk_iz(const std::string& labeled, // in + const unsigned d, // in + const mln::neighb3d& nbh, // in + const std::string& input, // in + const std::string& quant, // in + const std::string& histo, // in + const std::string& colormap,// in + const std::string& iz, // out + const std::string& proj, // out + const std::string& mean, // out + const std::string& stats) // [out] +{ + typedef mln::value::int_u8 t_int_u8; + typedef mln::value::label_8 t_lbl8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::algebra::vec<3,float> t_v3f; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image2d<t_lbl8> t_image2d_lbl8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::image3d<t_lbl8> t_image3d_lbl8; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + typedef mln::accu::stat::mean<t_v3f,t_v3f,t_v3f> t_mean; + typedef mln::util::array<t_v3f> t_mean_array; + + // START OF IMAGE PROCESSING CHAIN + t_image2d_rgb8 i0_input; // input img + t_image2d_rgbn i1_input; // quant img + t_histo3d h1_input; // histo input + t_histo3d h2_input; // histo input + t_image2d_int_u8 p1_histo; // histo proj + t_image2d_rgb8 p3_histo; // histo proj + t_image3d_lbl8 l2_histo; // label histo + t_image3d_lbl8 l3_histo; // iz label hist + t_mean_array m2_label; // colormap + t_mean_array m3_label; // colormap + t_image2d_lbl8 l3_input; // label input + t_image2d_rgb8 i3_mean; // reconstructed + + t_lbl8 n_lbl; // nb labels + t_rgb8 red(mln::literal::red); + + mln::io::dump::load(l2_histo, labeled.c_str()); + mln::io::ppm::load(i0_input, input.c_str()); + mln::io::ppm::load(i1_input, quant.c_str()); + mln::io::dump::load(h1_input, histo.c_str()); + load(m2_label, colormap.c_str()); + + if (0 == d) + { + l3_histo = mln::transform::influence_zone_geodesic(l2_histo, nbh); + } + else + { + l3_histo = mln::transform::influence_zone_geodesic(l2_histo, nbh, d); + } + // END OF IMAGE PROCESSING CHAIN + + // BEGIN DUMPING + + n_lbl = (t_lbl8)(m2_label.size()-1); + + l3_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l3_histo)); + i3_mean = mln::labeling::mean_values(i0_input, l3_input, n_lbl); + m3_label = mln::labeling::compute(t_mean(), i0_input, l3_input, n_lbl); + + // CORRECT 0 LABEL STATS + m3_label[0][0] = 255.0; + m3_label[0][1] = 255.0; + m3_label[0][2] = 0.0; + + p3_histo = mln::display::display3_histo3d_unsigned<n>(h1_input, + l3_histo, + m3_label, + red); + mln::io::dump::save(l3_input, iz.c_str()); + mln::io::ppm::save(p3_histo, proj.c_str()); + mln::io::ppm::save(i3_mean, mean.c_str()); + + if (0 < stats.size()) + compute_stats(i0_input, l3_input, h1_input, l3_histo, n_lbl, stats); + + // END DUMPING +} + + +void usage() +{ + std::cout << std::endl; + std::cout << "iz labeled.dump d nbh input.ppm q quant.ppm" + << " histo.dump colormap.txt iz.dump proj.ppm" + << " mean.ppm [stats.txt]" << std::endl; + std::cout << std::endl; + std::cout << "where :" << std::endl; + std::cout << "* [ in] labeled.dump is the labeled 3d histogram" << std::endl; + std::cout << "* [ in] d is the depth for the zone influence" + << " transformation (0 means infinite)" << std::endl; + std::cout << "* [ in] nbh is the 3d neighbourhood {6,18,26}" << std::endl; + std::cout << "* [ in] input.ppm is the 8 bits color ppm image" << std::endl; + std::cout << "* [ in] q is the degree of quantification" + << " {2,3,4,5,6,7,8}" << std::endl; + std::cout << "* [ in] quant.ppm is the q bits quantified input" + << " image" << std::endl; + std::cout << "* [ in] histo.dump is the quantified color" + << " histogram" << std::endl; + std::cout << "* [ in] colormap.txt is the colormap for labels" << std::endl; + std::cout << "* [out] iz.dump is the iz labeled 3d histogram" << std::endl; + std::cout << "* [out] proj.ppm is the r/g projection of the" + << " histogram with maxima label plot on" << std::endl; + std::cout << "* [out] mean.ppm is the mean reconstructed image" << std::endl; + std::cout << "* [out] stats.txt is the statistical label report"<< std::endl; + std::cout << std::endl; +} + +int main(int argc, char* args[]) +{ + if (12 == argc || 13 == argc) + { + const std::string labeled(args[1]); // in + const unsigned d = atoi(args[2]); // in + const char nbh = args[3][0]; // in + const std::string input(args[4]); // in + const char q = args[5][0]; // in + const std::string quant(args[6]); // in + const std::string histo(args[7]); // in + const std::string colormap(args[8]); // in + const std::string iz(args[9]); // out + const std::string proj(args[10]); // out + const std::string mean(args[11]); // out + const std::string stats(13 == argc? args[12] : ""); // [out] + + + mln::neighb3d neighbourhood; + + switch (nbh) + { + case '6': neighbourhood = mln::c6(); break; + case '1': neighbourhood = mln::c18(); break; + case '2': neighbourhood = mln::c26(); break; + default: usage(); return 0; // force usage and quit + } + + switch (q) + { + case '2' : mk_iz<2>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + case '3' : mk_iz<3>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + case '4' : mk_iz<4>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + case '5' : mk_iz<5>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + case '6' : mk_iz<6>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + case '7' : mk_iz<7>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + case '8' : mk_iz<8>(labeled,d,neighbourhood,input,quant, + histo,colormap,iz,proj,mean,stats);break; + default: usage(); break; + } + } + else + usage(); + + return 0; +} diff --git a/milena/sandbox/green/tools/annotating/opening/opening.cc b/milena/sandbox/green/tools/annotating/opening/opening.cc index 3e1dbf2..cdd37fb 100644 --- a/milena/sandbox/green/tools/annotating/opening/opening.cc +++ b/milena/sandbox/green/tools/annotating/opening/opening.cc @@ -15,36 +15,47 @@ #include <mln/io/dump/load.hh> #include <mln/io/dump/save.hh> -#include <mln/io/pgm/load.hh> +#include <mln/io/ppm/save.hh> #include <mln/io/pgm/save.hh> +#include <mln/literal/colors.hh> + #include <mln/morpho/opening/volume.hh> +#include <mln/value/rgb.hh> #include <mln/value/int_u8.hh> -void mk_opening(const std::string& input, - const unsigned min_vol, - const std::string& output, - const std::string& opened) +template <unsigned n> +void mk_opening(const std::string& histo, // in + const unsigned min_vol, // in + const std::string& opened, // out + const std::string& proj1, // out + const std::string& proj2) // out { typedef mln::value::int_u8 t_int_u8; + typedef mln::value::rgb<n> t_rgbn; typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; typedef mln::image3d<unsigned> t_histo3d; typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; // START OF IMAGE PROCESSING CHAIN t_histo3d h1_input; // histo input t_histo3d h2_input; // histo input - t_image2d_int_u8 p1_histo; // histo proj + t_image2d_int_u8 p1_histo1;// histo proj1 + t_image2d_rgbn p1_histo2;// histo proj2 + t_rgbn red(mln::literal::red); - mln::io::dump::load(h1_input, input.c_str()); + mln::io::dump::load(h1_input, histo.c_str()); h2_input = mln::morpho::opening::volume(h1_input, mln::c6(), min_vol); // END OF IMAGE PROCESSING CHAIN // BEGIN DUMPING - p1_histo = mln::display::display_histo3d_unsigned(h2_input); + p1_histo1 = mln::display::display_histo3d_unsigned(h2_input); + p1_histo2 = mln::display::display3_histo3d_unsigned(h2_input, red); mln::io::dump::save(h2_input, opened.c_str()); - mln::io::pgm::save(p1_histo, output.c_str()); + mln::io::pgm::save(p1_histo1, proj1.c_str()); + mln::io::ppm::save(p1_histo2, proj2.c_str()); // END DUMPING } @@ -52,25 +63,46 @@ void mk_opening(const std::string& input, void usage() { std::cout << std::endl; - std::cout << "opening input.dump v out.dump out.ppm" << std::endl; - std::cout << "where" << std::endl; - std::cout << "input.dump is the 3d color input histo" << std::endl; - std::cout << "v is the minimum size of each composant" << std::endl; - std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl; - std::cout << "out.dump is the opened histogram" << std::endl; + std::cout << "opening q histo.dump v opened.dump proj.pgm" + << " proj.ppm" << std::endl; + std::cout << std::endl; + std::cout << "where :" << std::endl; + std::cout << "* [ in] q is the degree of quantification" + << " {2,3,4,5,6,7,8}" << std::endl; + std::cout << "* [ in] histo.dump is the quantified color" + << " histogram" << std::endl; + std::cout << "* [ in] v is the minimum size (in pixels) of" + << " each composant" << std::endl; + std::cout << "* [out] opened.dump is the filtered histogram" << std::endl; + std::cout << "* [out] proj.pgm is the r/g projection of the" + << " histogram (summing along the blue axe)" << std::endl; + std::cout << "* [out] proj.ppm is the r/g projection of the" + << " histogram with maxima plot on" << std::endl; std::cout << std::endl; } int main(int argc, char* args[]) { - if (5 == argc) + if (7 == argc) { - const std::string input(args[1]); - const unsigned min_vol = atoi(args[2]); - const std::string output(args[3]); - const std::string opened(args[4]); - - mk_opening(input, min_vol, output, opened); + const char q = args[1][0]; // in + const std::string histo(args[2]); // in + const unsigned min_vol = atoi(args[3]); // in + const std::string opened(args[4]); // out + const std::string proj1(args[5]); // out + const std::string proj2(args[6]); // out + + switch(q) + { + case '2': mk_opening<2>(histo, min_vol, opened, proj1, proj2); break; + case '3': mk_opening<3>(histo, min_vol, opened, proj1, proj2); break; + case '4': mk_opening<4>(histo, min_vol, opened, proj1, proj2); break; + case '5': mk_opening<5>(histo, min_vol, opened, proj1, proj2); break; + case '6': mk_opening<6>(histo, min_vol, opened, proj1, proj2); break; + case '7': mk_opening<7>(histo, min_vol, opened, proj1, proj2); break; + case '8': mk_opening<8>(histo, min_vol, opened, proj1, proj2); break; + default: usage(); break; + } } else usage(); diff --git a/milena/sandbox/green/tools/annotating/regmax/regmax.cc b/milena/sandbox/green/tools/annotating/regmax/regmax.cc index 2079bc4..0ff4d2e 100644 --- a/milena/sandbox/green/tools/annotating/regmax/regmax.cc +++ b/milena/sandbox/green/tools/annotating/regmax/regmax.cc @@ -1,8 +1,13 @@ // TOOLS ==> regmax on histo #include <iostream> +#include <fstream> +#include <boost/format.hpp> #include <mln/accu/stat/histo3d_rgb.hh> +#include <mln/accu/stat/mean.hh> + +#include <mln/algebra/vec.hh> #include <mln/core/macros.hh> #include <mln/core/alias/neighb3d.hh> @@ -18,9 +23,14 @@ #include <mln/io/dump/save.hh> #include <mln/io/pgm/load.hh> #include <mln/io/pgm/save.hh> +#include <mln/io/ppm/load.hh> #include <mln/io/ppm/save.hh> #include <mln/labeling/regional_maxima.hh> +#include <mln/labeling/compute.hh> +#include <mln/labeling/mean_values.hh> + +#include <mln/literal/colors.hh> #include <mln/morpho/opening/volume.hh> @@ -28,6 +38,8 @@ #include <mln/value/int_u8.hh> #include <mln/value/rgb8.hh> +#include <mln/util/array.hh> + template <unsigned n> struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> > { @@ -49,19 +61,134 @@ struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> > } }; -void mk_regmax(const std::string& input, - const std::string& quant, - const std::string& histo, - const std::string& label, - const std::string& output) +void compute_stats(const mln::image2d<mln::value::rgb8>& i_input_rgb8, + const mln::image2d<mln::value::label_8>& l_input_lbl8, + const mln::image3d<unsigned>& h_histo_rgbn, + const mln::image3d<mln::value::label_8>& l_histo_lbl8, + const mln::value::label_8& n_labels, + const std::string& log) +{ + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::accu::math::sum<unsigned,unsigned> t_sum; + typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean; + typedef mln::util::array<unsigned> t_count_array; + typedef mln::util::array<t_vec3f> t_mean_array; + + mln::util::array<float> abs((unsigned)(n_labels)+1); + mln::util::array<float> rel((unsigned)(n_labels)+1); + unsigned nb = 0; + + for (unsigned i = 0; i <= n_labels; ++i) + { + abs[i] = 0.0; + rel[i] = 0.0; + } + + // COMPUTE THE SUM + t_count_array count = mln::labeling::compute(t_sum(), + h_histo_rgbn, + l_histo_lbl8, + n_labels); + + // COMPUTE THE TOTAL + for (unsigned i = 0; i <= n_labels; ++i) + { + unsigned c = count[i]; + nb += c; + } + + // COMPUTE THE PERCENTAGES + for (unsigned i = 0; i <= n_labels; ++i) + if (0 < count[i]) + { + abs[i] = ((float)count[i] / nb)*100.0; + rel[i] = ((float)count[i] / (nb - count[0]))*100.0; + } + + // COMPUTE THE MEAN + + t_mean_array mean = mln::labeling::compute(t_mean(), + i_input_rgb8, + l_input_lbl8, + n_labels); + + // CORRECT 0 LABEL STATS + rel[0] = 0; + mean[0][0] = 255.0; + mean[0][1] = 255.0; + mean[0][2] = 0.0; + + // PRINT STATS + std::ofstream log_stream(log.c_str()); + + for (unsigned i = 0; i <= n_labels; ++i) + { + const t_vec3f& mean_v = mean[i]; + + log_stream << boost::format("%2i|" + "r = %6.2f, g = %6.2f, b = %6.2f |" + "c = %7i, %%i = %5.2f, %%c = %5.2f") + % i + % mean_v[0] + % mean_v[1] + % mean_v[2] + % count[i] + % abs[i] + % rel[i] + << std::endl; + } + + log_stream << std::endl << std::endl; + log_stream.flush(); + log_stream.close(); +} + +void save(mln::util::array< mln::algebra::vec<3,float> >& m2_label, + const char *colormap) +{ + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::util::array<t_vec3f> t_mean_array; + + std::ofstream stream(colormap); + + for (unsigned i = 0; i < m2_label.size(); ++i) + { + const t_vec3f& mean_v = m2_label[i]; + + stream << boost::format("%2i | r = %6.2f, g = %6.2f, b = %6.2f") + % i + % mean_v[0] + % mean_v[1] + % mean_v[2] + << std::endl; + } + + stream.flush(); + stream.close(); +} + +template <unsigned n> +void mk_regmax(const std::string& input, // in + const std::string& quant, // in + const std::string& histo, // in + const std::string& opened, // in + const mln::neighb3d& nbh, // in + const std::string& labeled, // out + const std::string& proj, // out + const std::string& colormap,// out + const std::string& mean, // out + const std::string& stats) // [out] { typedef mln::value::label_8 t_lbl8; typedef mln::value::rgb8 t_rgb8; - typedef mln::value::rgbn t_rgbn; + typedef mln::value::rgb<n> t_rgbn; typedef mln::value::int_u8 t_int_u8; + typedef mln::value::int_u<n> t_int_un; typedef mln::algebra::vec<3,float> t_v3f; typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_int_un> t_image2d_int_un; typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; typedef mln::image3d<t_lbl8> t_image3d_lbl8; typedef mln::image2d<t_lbl8> t_image2d_lbl8; typedef mln::image3d<unsigned> t_histo3d; @@ -71,60 +198,128 @@ void mk_regmax(const std::string& input, t_image2d_rgb8 i0_input; // input img t_image2d_rgbn i1_input; // quant img + t_histo3d h1_input; // input histo t_histo3d h2_input; // opened histo -// t_image2d_int_u8 p2_label; // histo proj - t_image2d_lbl8 p2_label; // histo proj -// t_image2d_rgb8 p2_label; // histo proj + t_image2d_rgb8 p2_label; // histo proj t_image3d_lbl8 l2_histo; // label histo - t_mean_array m2_label; // palette + t_image2d_lbl8 l2_input; // label input + t_mean_array m2_label; // colormap + t_image2d_rgb8 i2_mean; // reconstructed t_lbl8 n_lbl; // nb class + t_rgb8 red(mln::literal::red); + // BEGIN LOADING mln::io::ppm::load(i0_input, input.c_str()); mln::io::ppm::load(i1_input, quant.c_str()); - mln::io::dump::load(h2_input, histo.c_str()); + mln::io::dump::load(h1_input, histo.c_str()); + mln::io::dump::load(h2_input, opened.c_str()); // END LOADING // BEGIN IMAGE PROCESSING - l2_histo = mln::labeling::regional_maxima(h2_input, mln::c6(), n_lbl); + l2_histo = mln::labeling::regional_maxima(h2_input, nbh, n_lbl); // END IMAGE PROCESSING // BEGIN SAVING - mln::debug::println(h2_input); mln::io::dump::save(l2_histo, labeled.c_str()); l2_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l2_histo)); - m2_label = mln::labeling::compute(t_mean(), i0_input, l2_input, n_labels); - p2_label =mln::display::display3_histo3d_unsigned(h2_input,l2_histo,m2_label); + i2_mean = mln::labeling::mean_values(i0_input, l2_input, n_lbl); + m2_label = mln::labeling::compute(t_mean(), i0_input, l2_input, n_lbl); + + // CORRECT 0 LABEL STATS + m2_label[0][0] = 255.0; + m2_label[0][1] = 255.0; + m2_label[0][2] = 0.0; + + p2_label =mln::display::display3_histo3d_unsigned<n>(h1_input, + l2_histo, + m2_label, + red); + + mln::io::ppm::save(p2_label, proj.c_str()); + save(m2_label, colormap.c_str()); + mln::io::ppm::save(i2_mean, mean.c_str()); + + if (0 < stats.size()) + compute_stats(i0_input, l2_input, h1_input, l2_histo, n_lbl, stats); -// mln::io::pgm::save(p2_label, output.c_str()); - mln::io::ppm::save(p2_label, output.c_str()); - std::cout << "Nb classes : " << n_lbl << std::endl; // END SAVING } - void usage() { std::cout << std::endl; - std::cout << "regmax input.dump out.dump out.ppm" << std::endl; - std::cout << "where" << std::endl; - std::cout << "input.dump is opened histo" << std::endl; - std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl; - std::cout << "out.dump is the labeled histogram" << std::endl; + std::cout << "regmax input.ppm q quant.ppm histo.dump" + << " opened.dump nbh labeled.dump proj.ppm" + << " colormap.txt mean.ppm [stats.txt]" << std::endl; + std::cout << std::endl; + std::cout << "where :" << std::endl; + std::cout << "* [ in] input.ppm is the 8 bits color ppm image" << std::endl; + std::cout << "* [ in] q is the degree of quantification" + << " {2,3,4,5,6,7,8}" << std::endl; + std::cout << "* [ in] quant.ppm is the q bits quantified input" + << " image" << std::endl; + std::cout << "* [ in] histo.dump is the quantified color" + << " histogram" << std::endl; + std::cout << "* [ in] opened.dump is the filtered histogram" << std::endl; + std::cout << "* [ in] nbh is the 3d neighbourhood {6,18,26}" << std::endl; + std::cout << "* [out] labeled.dump is the labeled 3d histogram" << std::endl; + std::cout << "* [out] proj.ppm is the r/g projection of the" + << " histogram with maxima label plot on" << std::endl; + std::cout << "* [out] colormap.txt is the colormap for labels" << std::endl; + std::cout << "* [out] mean.ppm is the mean reconstructed image" << std::endl; + std::cout << "* [out] stats.txt is the statistical label report"<< std::endl; std::cout << std::endl; } int main(int argc, char* args[]) { - if (4 == argc) + if (11 == argc || 12 == argc) { - const std::string input(args[1]); - const std::string output(args[2]); - const std::string labeled(args[3]); + const std::string input(args[1]); // in + const char q = args[2][0]; // in + const std::string quant(args[3]); // in + const std::string histo(args[4]); // in + const std::string opened(args[5]); // in + const char nbh = args[6][0]; // in + const std::string labeled(args[7]); // out + const std::string proj(args[8]); // out + const std::string colormap(args[9]);// out + const std::string mean(args[10]); // out + const std::string stats(12 == argc? args[11] : ""); // [out] + + + mln::neighb3d neighbourhood; + + switch (nbh) + { + case '6': neighbourhood = mln::c6(); break; + case '1': neighbourhood = mln::c18(); break; + case '2': neighbourhood = mln::c26(); break; + default: usage(); return 0; // force usage and quit + } + + switch (q) + { - mk_regmax(input, output, labeled); + case '2': mk_regmax<2>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + case '3': mk_regmax<3>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + case '4': mk_regmax<4>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + case '5': mk_regmax<5>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + case '6': mk_regmax<6>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + case '7': mk_regmax<7>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + case '8': mk_regmax<8>(input,quant,histo,opened,neighbourhood, + labeled,proj,colormap,mean,stats); break; + default: usage(); break; + } } else usage(); -- 1.5.6.5

13 years, 10 months

last-svn-commit-210-g17304c0 Extend the histogram visualization tools for new projection concept.

by green

* green/mln/display/project_histo.hh (project2_histo): New functions that keep the max of the histogram or the class associate to it while projecting along a direction. * green/mln/display/project_histo.hh (project3_histo): New functions that keep the color of the class associate to the histogram maximum while projecting along a direction. * green/mln/display/display_histo.hh: New interface functions for project2_histo and project3_histo. --- milena/sandbox/ChangeLog | 13 + milena/sandbox/green/mln/display/display_histo.hh | 50 +++ milena/sandbox/green/mln/display/project_histo.hh | 344 +++++++++++++++++++++ 3 files changed, 407 insertions(+), 0 deletions(-) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index de56c51..f56ea7a 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -77,6 +77,19 @@ 2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Extend the histogram visualization tools for new projection concept. + + * green/mln/display/project_histo.hh (project2_histo): New functions + that keep the max of the histogram or the class associate to it while + projecting along a direction. + * green/mln/display/project_histo.hh (project3_histo): New functions + that keep the color of the class associate to the histogram maximum + while projecting along a direction. + * green/mln/display/display_histo.hh: New interface functions for + project2_histo and project3_histo. + +2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Build translation table between number of pixels and percentage of pixels in image for the scribo database. diff --git a/milena/sandbox/green/mln/display/display_histo.hh b/milena/sandbox/green/mln/display/display_histo.hh index 1fd5da4..2ba0b61 100644 --- a/milena/sandbox/green/mln/display/display_histo.hh +++ b/milena/sandbox/green/mln/display/display_histo.hh @@ -33,6 +33,8 @@ # include <mln/display/project_histo.hh> # include <mln/fun/v2v/log.hh> # include <mln/value/int_u8.hh> +# include <mln/value/rgb8.hh> +# include <mln/value/label_8.hh> /// \file @@ -55,6 +57,20 @@ namespace mln image2d<value::int_u8> display_histo3d_unsigned(const image3d<unsigned>& histo); + image2d<value::int_u8> + display2_histo3d_unsigned(const image3d<unsigned>& histo); + + image2d<value::label_8> + display2_histo3d_unsigned(const image3d<unsigned>& histo, + const image3d<value::label_8>& label); + + image2d<value::rgb8> + display3_histo3d_unsigned(const image3d<unsigned>& histo); + + image2d<value::rgb8> + display3_histo3d_unsigned(const image3d<unsigned>& histo, + const image3d<value::label_8>& label); + #ifndef MLN_INCLUDE_ONLY /// \brief Allow the visualization of a 3d histogram by projection. @@ -86,6 +102,40 @@ namespace mln return proj_int; } + image2d<value::int_u8> + display2_histo3d_unsigned(const image3d<unsigned>& histo) + { + image2d<value::int_u8> proj = project2_histo<0>(histo); + + return proj; + } + + image2d<value::label_8> + display2_histo3d_unsigned(const image3d<unsigned>& histo, + const image3d<value::label_8>& label) + { + image2d<value::label_8> proj = project2_histo<0>(histo, label); + + return proj; + } + + image2d<value::rgb8> + display3_histo3d_unsigned(const image3d<unsigned>& histo) + { + image2d<value::rgb8> proj = project3_histo<0>(histo); + + return proj; + } + + image2d<value::rgb8> + display3_histo3d_unsigned(const image3d<unsigned>& histo, + const image3d<value::label_8>& label) + { + image2d<value::rgb8> proj = project3_histo<0>(histo, label); + + return proj; + } + #endif // ! MLN_INCLUDE_ONLY diff --git a/milena/sandbox/green/mln/display/project_histo.hh b/milena/sandbox/green/mln/display/project_histo.hh index f0e6858..d842c70 100644 --- a/milena/sandbox/green/mln/display/project_histo.hh +++ b/milena/sandbox/green/mln/display/project_histo.hh @@ -37,6 +37,12 @@ # include <mln/accu/image/take.hh> # include <mln/accu/image/to_result.hh> +# include <mln/opt/at.hh> + +# include <mln/value/int_u8.hh> +# include <mln/value/rgb8.hh> +# include <mln/value/label_8.hh> + /// \file /// /// \brief Allow the visualization of 3d histogram. @@ -54,6 +60,10 @@ namespace mln image2d<mln_result(A)> project_histo(const image3d<V>& histo); + template <typename A, unsigned direction, typename V> + image2d<mln_result(A)> + project2_histo(const image3d<V>& histo); + # ifndef MLN_INCLUDE_ONLY /// \brief Allow the visualization of 3d histogram. @@ -86,6 +96,340 @@ namespace mln return accu::image::to_result(histo_accu); } + template <unsigned direction> + image2d<value::int_u8> + project2_histo(const image3d<unsigned>& histo) + { + image2d<value::int_u8> result; + + if (0 == direction) // blue + { + image2d<value::int_u8> arg_max(histo.ncols(), histo.nslices()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nslices(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nrows(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = pos; + } + + result = arg_max; + } + else if (1 == direction) // red + { + image2d<value::int_u8> arg_max(histo.nrows(), histo.nslices()); + + for (unsigned j = 0; j < histo.nslices(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.ncols(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = pos; + } + + result = arg_max; + } + else // 2 == direction // green + { + image2d<value::int_u8> arg_max(histo.nrows(), histo.ncols()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nslices(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = pos; + } + + result = arg_max; + } + + return result; + } + + template <unsigned direction> + image2d<value::label_8> + project2_histo(const image3d<unsigned>& histo, + const image3d<value::label_8>& label) + { + image2d<value::label_8> result; + + if (0 == direction) // blue + { + image2d<value::label_8> arg_max(histo.ncols(), histo.nslices()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nslices(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nrows(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = opt::at(label,i,j,pos); + } + + result = arg_max; + } + else if (1 == direction) // red + { + image2d<value::label_8> arg_max(histo.nrows(), histo.nslices()); + + for (unsigned j = 0; j < histo.nslices(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.ncols(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = opt::at(label,pos,i,j); + } + + result = arg_max; + } + else // 2 == direction // green + { + image2d<value::label_8> arg_max(histo.nrows(), histo.ncols()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nslices(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = opt::at(label,i,pos,j); + } + + result = arg_max; + } + + return result; + } + + + // FIXME ... determine the color of each class. + template <unsigned direction> + image2d<value::rgb8> + project3_histo(const image3d<unsigned>& histo, + const image3d<value::label_8>& label) + { + image2d<value::rgb8> result; + + if (0 == direction) // blue + { + image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nslices(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nrows(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = value::rgb8(i,j,pos); + } + + result = arg_max; + } + else if (1 == direction) // red + { + image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices()); + + for (unsigned j = 0; j < histo.nslices(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.ncols(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = value::rgb8(pos,i,j); + } + + result = arg_max; + } + else // 2 == direction // green + { + image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nslices(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + // FIXME ... how to fix the n of rgb + opt::at(arg_max,i,j) = value::rgb8(i,pos,j); + } + + result = arg_max; + } + + return result; + } + + template <unsigned direction> + image2d<value::rgb8> + project3_histo(const image3d<unsigned>& histo) + { + image2d<value::rgb8> result; + + if (0 == direction) // blue + { + image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nslices(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nrows(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = value::rgb8(i,j,pos); + } + + result = arg_max; + } + else if (1 == direction) // red + { + image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices()); + + for (unsigned j = 0; j < histo.nslices(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.ncols(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + opt::at(arg_max,i,j) = value::rgb8(pos,i,j); + } + + result = arg_max; + } + else // 2 == direction // green + { + image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols()); + + for (unsigned j = 0; j < histo.ncols(); ++j) + for (unsigned i = 0; i < histo.nrows(); ++i) + { + unsigned max = 0; // minimum as possible + signed pos = -1; + + for (unsigned k = 0; k < histo.nslices(); ++k) + { + if (max <= opt::at(histo,i,j,k)) + { + max = opt::at(histo,i,j,k); + pos = k; + } + } + + // FIXME ... how to fix the n of rgb + opt::at(arg_max,i,j) = value::rgb8(i,pos,j); + } + + result = arg_max; + } + + return result; + } + # endif // ! MLN_INCLUDE_ONLY -- 1.5.6.5

13 years, 10 months

last-svn-commit-209-g5179913 Build translation table between number of pixels and percentage of pixels in image for the scribo database.

by green

* green/demo/labeling/regional_maxima/threshold.txt: New translation table. --- milena/sandbox/ChangeLog | 8 ++++++++ .../demo/labeling/regional_maxima/thresholds.txt | 15 +++++++++++++++ 2 files changed, 23 insertions(+), 0 deletions(-) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index c8734e4..de56c51 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -77,6 +77,14 @@ 2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Build translation table between number of pixels and percentage of + pixels in image for the scribo database. + + * green/demo/labeling/regional_maxima/threshold.txt: New translation + table. + +2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Split the regional maxima binary in small atomic binaries. * green/tools/annotating/histo: New directory. diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt index ddf5ca7..58f3e6a 100644 --- a/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt +++ b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt @@ -5,9 +5,24 @@ image = 1169 x 1567 = 1831823 ----------------------- 0.05 % | 1000.00 1.00 % | 18318.23 + 2.00 % | 36636.46 + 3.00 % | 54954.69 + 4.00 % | 73272.92 5.00 % | 91591.15 + 6.00 % | 109909.38 + 7.00 % | 128227.61 + 8.00 % | 146545.84 + 9.00 % | 164864.07 10.00 % | 183182.30 + 11.00 % | 201500.53 + 12.00 % | 219818.76 + 13.00 % | 238136.99 + 14.00 % | 256455.22 15.00 % | 274773.45 + 16.00 % | 293091.68 + 17.00 % | 311409.91 + 18.00 % | 329728.14 + 19.00 % | 348046.37 20.00 % | 366364.60 25.00 % | 457955.75 30.00 % | 549546.90 -- 1.5.6.5

13 years, 10 months

last-svn-commit-208-g7c558b5 Split the regional maxima binary in small atomic binaries.

by green

* green/tools/annotating/histo: New directory. * green/tools/annotating/histo/Makefile.am: New Makefile. * green/tools/annotating/histo/histo.cc: New source file. * green/tools/annotating/opening: New directory. * green/tools/annotating/opening/Makefile.am: New Makefile. * green/tools/annotating/opening/opening.cc: New source file. * green/tools/annotating/regmax: New directory. * green/tools/annotating/regmax/Makefile.am: New Makefile. * green/tools/annotating/regmax/regmax.cc: New source file. --- milena/sandbox/ChangeLog | 15 +++ .../annotating/histo}/Makefile.am | 9 +- .../sandbox/green/tools/annotating/histo/histo.cc | 121 ++++++++++++++++++ .../annotating/opening}/Makefile.am | 9 +- .../green/tools/annotating/opening/opening.cc | 79 ++++++++++++ .../annotating/regmax}/Makefile.am | 9 +- .../green/tools/annotating/regmax/regmax.cc | 133 ++++++++++++++++++++ 7 files changed, 360 insertions(+), 15 deletions(-) copy milena/sandbox/green/{exp/annotating/nb_color => tools/annotating/histo}/Makefile.am (96%) create mode 100644 milena/sandbox/green/tools/annotating/histo/histo.cc copy milena/sandbox/green/{exp/annotating/nb_color => tools/annotating/opening}/Makefile.am (96%) create mode 100644 milena/sandbox/green/tools/annotating/opening/opening.cc copy milena/sandbox/green/{exp/annotating/nb_color => tools/annotating/regmax}/Makefile.am (96%) create mode 100644 milena/sandbox/green/tools/annotating/regmax/regmax.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 48cf813..c8734e4 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -75,6 +75,21 @@ * bin/pgm_to_pbm.cc, * bin/ppm_negate.cc: New. +2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Split the regional maxima binary in small atomic binaries. + + * green/tools/annotating/histo: New directory. + * green/tools/annotating/histo/Makefile.am: New Makefile. + * green/tools/annotating/histo/histo.cc: New source file. + * green/tools/annotating/opening: New directory. + * green/tools/annotating/opening/Makefile.am: New Makefile. + * green/tools/annotating/opening/opening.cc: New source file. + * green/tools/annotating/regmax: New directory. + * green/tools/annotating/regmax/Makefile.am: New Makefile. + * green/tools/annotating/regmax/regmax.cc: New source file. + + 2009-12-23 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Write the opening volume thresholds for the scribo image mp00082c.ppm. diff --git a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am b/milena/sandbox/green/tools/annotating/histo/Makefile.am similarity index 96% copy from milena/sandbox/green/exp/annotating/nb_color/Makefile.am copy to milena/sandbox/green/tools/annotating/histo/Makefile.am index 8e204c6..8cd7511 100644 --- a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am +++ b/milena/sandbox/green/tools/annotating/histo/Makefile.am @@ -6,7 +6,6 @@ # TOOLS # ######### -LOADLIBES= -lboost_filesystem INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) @@ -16,17 +15,17 @@ RM= rm MKDIR= mkdir -p CP= cp -SOURCE_PATTERN= green/exp -BUILD__PATTERN= green/build/exp +SOURCE_PATTERN= green/tools +BUILD__PATTERN= green/build/tools ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) # Case where make is done from build directory. SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) -BUILD__DIR= $(PWD)/ +BUILD__DIR= $(PWD) else # Case where make is done from source directory. -SOURCE_DIR= $(PWD)/ +SOURCE_DIR= $(PWD) BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) endif diff --git a/milena/sandbox/green/tools/annotating/histo/histo.cc b/milena/sandbox/green/tools/annotating/histo/histo.cc new file mode 100644 index 0000000..ab0b8af --- /dev/null +++ b/milena/sandbox/green/tools/annotating/histo/histo.cc @@ -0,0 +1,121 @@ +// TOOLS ==> Color histogram + +#include <iostream> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/macros.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> +#include <mln/core/image/dmorph/image_if.hh> + +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> + +#include <mln/display/display_histo.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/io/dump/save.hh> +#include <mln/io/pbm/load.hh> +#include <mln/io/pbm/save.hh> +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/ppm/load.hh> +#include <mln/io/ppm/save.hh> + +#include <mln/opt/at.hh> + +#include <mln/pw/value.hh> + +#include <mln/value/rgb8.hh> +#include <mln/value/rgb.hh> + + +template <unsigned n> +void mk_histo(const std::string& input, + const std::string& output, + const std::string& histo, + const std::string& mask) +{ + typedef mln::value::int_u8 t_int_u8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image2d<bool> t_image2d_bool; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::fun::v2v::rgb8_to_rgbn<n> t_rgb8_to_rgbn; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + + // START OF IMAGE PROCESSING CHAIN + t_image2d_rgb8 i0_input; // input rgb8 + t_image2d_rgbn i1_input; // input rgbn + t_image2d_bool m0_input; // mask input + t_histo3d h1_input; // histo input + t_image2d_int_u8 p1_histo; // histo proj + + mln::io::ppm::load(i0_input, input.c_str()); + i1_input = mln::data::transform(i0_input, t_rgb8_to_rgbn()); + + if (0 < mask.size()) + { + mln::io::pbm::load(m0_input, mask.c_str()); + h1_input = mln::data::compute(t_histo3d_fun(), + (i1_input | mln::pw::value(m0_input)).rw()); + } + else + { + h1_input = mln::data::compute(t_histo3d_fun(), i1_input); + } + // END OF IMAGE PROCESSING CHAIN + + // BEGIN DUMPING + p1_histo = mln::display::display_histo3d_unsigned(h1_input); + mln::io::dump::save(h1_input, histo.c_str()); + mln::io::pgm::save(p1_histo, output.c_str()); + // END DUMPING +} + + +void usage() +{ + std::cout << std::endl; + std::cout << "histo input.ppm q out.ppm histo.dump [msk.pbm]" << std::endl; + std::cout << "where" << std::endl; + std::cout << "input.ppm is the 8 bits color ppm image" << std::endl; + std::cout << "q is the degree of quanification {2,3,4,5,6,7,8}" << std::endl; + std::cout << "out.pgm is the r/g projection of the histogram" << std::endl; + std::cout << "out.dump is the quantified color histogram" << std::endl; + std::cout << "msk.pbm is the mask which select the pixels" << std::endl; + std::cout << std::endl; +} + +int main(int argc, char* args[]) +{ + if (5 == argc || 6 == argc) + { + const std::string input(args[1]); + const char q = args[2][0]; + const std::string output(args[3]); + const std::string histo(args[4]); + const std::string mask(6 == argc? args[5] : ""); + + switch(q) + { + case '2': mk_histo<2>(input, output, histo, mask); break; + case '3': mk_histo<3>(input, output, histo, mask); break; + case '4': mk_histo<4>(input, output, histo, mask); break; + case '5': mk_histo<5>(input, output, histo, mask); break; + case '6': mk_histo<6>(input, output, histo, mask); break; + case '7': mk_histo<7>(input, output, histo, mask); break; + case '8': mk_histo<8>(input, output, histo, mask); break; + default: usage(); break; + } + } + else + usage(); + + return 0; +} diff --git a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am b/milena/sandbox/green/tools/annotating/opening/Makefile.am similarity index 96% copy from milena/sandbox/green/exp/annotating/nb_color/Makefile.am copy to milena/sandbox/green/tools/annotating/opening/Makefile.am index 8e204c6..8cd7511 100644 --- a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am +++ b/milena/sandbox/green/tools/annotating/opening/Makefile.am @@ -6,7 +6,6 @@ # TOOLS # ######### -LOADLIBES= -lboost_filesystem INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) @@ -16,17 +15,17 @@ RM= rm MKDIR= mkdir -p CP= cp -SOURCE_PATTERN= green/exp -BUILD__PATTERN= green/build/exp +SOURCE_PATTERN= green/tools +BUILD__PATTERN= green/build/tools ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) # Case where make is done from build directory. SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) -BUILD__DIR= $(PWD)/ +BUILD__DIR= $(PWD) else # Case where make is done from source directory. -SOURCE_DIR= $(PWD)/ +SOURCE_DIR= $(PWD) BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) endif diff --git a/milena/sandbox/green/tools/annotating/opening/opening.cc b/milena/sandbox/green/tools/annotating/opening/opening.cc new file mode 100644 index 0000000..3e1dbf2 --- /dev/null +++ b/milena/sandbox/green/tools/annotating/opening/opening.cc @@ -0,0 +1,79 @@ +// TOOLS ==> histogram filtering + +#include <iostream> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/macros.hh> +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> + +#include <mln/data/compute.hh> + +#include <mln/display/display_histo.hh> + +#include <mln/io/dump/load.hh> +#include <mln/io/dump/save.hh> +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> + +#include <mln/morpho/opening/volume.hh> + +#include <mln/value/int_u8.hh> + +void mk_opening(const std::string& input, + const unsigned min_vol, + const std::string& output, + const std::string& opened) +{ + typedef mln::value::int_u8 t_int_u8; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + + // START OF IMAGE PROCESSING CHAIN + t_histo3d h1_input; // histo input + t_histo3d h2_input; // histo input + t_image2d_int_u8 p1_histo; // histo proj + + mln::io::dump::load(h1_input, input.c_str()); + h2_input = mln::morpho::opening::volume(h1_input, mln::c6(), min_vol); + // END OF IMAGE PROCESSING CHAIN + + // BEGIN DUMPING + p1_histo = mln::display::display_histo3d_unsigned(h2_input); + mln::io::dump::save(h2_input, opened.c_str()); + mln::io::pgm::save(p1_histo, output.c_str()); + // END DUMPING +} + + +void usage() +{ + std::cout << std::endl; + std::cout << "opening input.dump v out.dump out.ppm" << std::endl; + std::cout << "where" << std::endl; + std::cout << "input.dump is the 3d color input histo" << std::endl; + std::cout << "v is the minimum size of each composant" << std::endl; + std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl; + std::cout << "out.dump is the opened histogram" << std::endl; + std::cout << std::endl; +} + +int main(int argc, char* args[]) +{ + if (5 == argc) + { + const std::string input(args[1]); + const unsigned min_vol = atoi(args[2]); + const std::string output(args[3]); + const std::string opened(args[4]); + + mk_opening(input, min_vol, output, opened); + } + else + usage(); + + return 0; +} diff --git a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am b/milena/sandbox/green/tools/annotating/regmax/Makefile.am similarity index 96% copy from milena/sandbox/green/exp/annotating/nb_color/Makefile.am copy to milena/sandbox/green/tools/annotating/regmax/Makefile.am index 8e204c6..8cd7511 100644 --- a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am +++ b/milena/sandbox/green/tools/annotating/regmax/Makefile.am @@ -6,7 +6,6 @@ # TOOLS # ######### -LOADLIBES= -lboost_filesystem INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) @@ -16,17 +15,17 @@ RM= rm MKDIR= mkdir -p CP= cp -SOURCE_PATTERN= green/exp -BUILD__PATTERN= green/build/exp +SOURCE_PATTERN= green/tools +BUILD__PATTERN= green/build/tools ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) # Case where make is done from build directory. SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) -BUILD__DIR= $(PWD)/ +BUILD__DIR= $(PWD) else # Case where make is done from source directory. -SOURCE_DIR= $(PWD)/ +SOURCE_DIR= $(PWD) BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) endif diff --git a/milena/sandbox/green/tools/annotating/regmax/regmax.cc b/milena/sandbox/green/tools/annotating/regmax/regmax.cc new file mode 100644 index 0000000..2079bc4 --- /dev/null +++ b/milena/sandbox/green/tools/annotating/regmax/regmax.cc @@ -0,0 +1,133 @@ +// TOOLS ==> regmax on histo + +#include <iostream> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/macros.hh> +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> + +#include <mln/data/compute.hh> + +#include <mln/debug/println.hh> +#include <mln/display/display_histo.hh> + +#include <mln/io/dump/load.hh> +#include <mln/io/dump/save.hh> +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/ppm/save.hh> + +#include <mln/labeling/regional_maxima.hh> + +#include <mln/morpho/opening/volume.hh> + +#include <mln/value/label_8.hh> +#include <mln/value/int_u8.hh> +#include <mln/value/rgb8.hh> + +template <unsigned n> +struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> > +{ + typedef mln::value::rgb<n> t_rgbn; + typedef mln::value::label_8 t_lbl8; + typedef t_rgbn argument; + typedef t_lbl8 result; + typedef mln::image3d<t_lbl8> t_label; + + const t_label& _label; + + t_labeling_rgbn(const t_label& label) : _label(label) {} + + result operator()(const argument& c) const + { + t_lbl8 tmp = mln::opt::at(_label, c.blue(), c.red(), c.green()); + + return tmp; + } +}; + +void mk_regmax(const std::string& input, + const std::string& quant, + const std::string& histo, + const std::string& label, + const std::string& output) +{ + typedef mln::value::label_8 t_lbl8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgbn t_rgbn; + typedef mln::value::int_u8 t_int_u8; + typedef mln::algebra::vec<3,float> t_v3f; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image3d<t_lbl8> t_image3d_lbl8; + typedef mln::image2d<t_lbl8> t_image2d_lbl8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + typedef mln::accu::stat::mean<t_v3f,t_v3f,t_v3f> t_mean; + typedef mln::util::array<t_v3f> t_mean_array; + + t_image2d_rgb8 i0_input; // input img + t_image2d_rgbn i1_input; // quant img + t_histo3d h2_input; // opened histo +// t_image2d_int_u8 p2_label; // histo proj + t_image2d_lbl8 p2_label; // histo proj +// t_image2d_rgb8 p2_label; // histo proj + t_image3d_lbl8 l2_histo; // label histo + t_mean_array m2_label; // palette + + t_lbl8 n_lbl; // nb class + + // BEGIN LOADING + mln::io::ppm::load(i0_input, input.c_str()); + mln::io::ppm::load(i1_input, quant.c_str()); + mln::io::dump::load(h2_input, histo.c_str()); + // END LOADING + + // BEGIN IMAGE PROCESSING + l2_histo = mln::labeling::regional_maxima(h2_input, mln::c6(), n_lbl); + // END IMAGE PROCESSING + + // BEGIN SAVING + mln::debug::println(h2_input); + mln::io::dump::save(l2_histo, labeled.c_str()); + + l2_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l2_histo)); + m2_label = mln::labeling::compute(t_mean(), i0_input, l2_input, n_labels); + p2_label =mln::display::display3_histo3d_unsigned(h2_input,l2_histo,m2_label); + +// mln::io::pgm::save(p2_label, output.c_str()); + mln::io::ppm::save(p2_label, output.c_str()); + std::cout << "Nb classes : " << n_lbl << std::endl; + // END SAVING +} + + +void usage() +{ + std::cout << std::endl; + std::cout << "regmax input.dump out.dump out.ppm" << std::endl; + std::cout << "where" << std::endl; + std::cout << "input.dump is opened histo" << std::endl; + std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl; + std::cout << "out.dump is the labeled histogram" << std::endl; + std::cout << std::endl; +} + +int main(int argc, char* args[]) +{ + if (4 == argc) + { + const std::string input(args[1]); + const std::string output(args[2]); + const std::string labeled(args[3]); + + mk_regmax(input, output, labeled); + } + else + usage(); + + return 0; +} -- 1.5.6.5

13 years, 10 months

last-svn-commit-207-gfe92959 Write the opening volume thresholds for the scribo image mp00082c.ppm.

by green

* green/demo/labeling/regional_maxima/thresholds.txt: New documentation. --- milena/sandbox/ChangeLog | 6 ++++ .../demo/labeling/regional_maxima/thresholds.txt | 27 ++++++++++++++++++++ 2 files changed, 33 insertions(+), 0 deletions(-) create mode 100644 milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 11565c5..48cf813 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -77,6 +77,12 @@ 2009-12-23 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Write the opening volume thresholds for the scribo image mp00082c.ppm. + + * green/demo/labeling/regional_maxima/thresholds.txt: New documentation. + +2009-12-23 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Experiment various quantifications on regional maxima labeling. * green/doc/regional_maxima/cmp_quant/h0_input.pgm.gz: New histogram. diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt new file mode 100644 index 0000000..ddf5ca7 --- /dev/null +++ b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt @@ -0,0 +1,27 @@ +image = 1169 x 1567 = 1831823 + + +% image | min_volume +----------------------- + 0.05 % | 1000.00 + 1.00 % | 18318.23 + 5.00 % | 91591.15 + 10.00 % | 183182.30 + 15.00 % | 274773.45 + 20.00 % | 366364.60 + 25.00 % | 457955.75 + 30.00 % | 549546.90 + 35.00 % | 641138.05 + 40.00 % | 732729.20 + 45.00 % | 824320.35 + 50.00 % | 915911.50 + 55.00 % | 1007502.65 + 60.00 % | 1099093.80 + 65.00 % | 1190684.95 + 70.00 % | 1282276.10 + 75.00 % | 1373867.25 + 80.00 % | 1465458.40 + 85.00 % | 1557049.55 + 90.00 % | 1648640.70 + 95.00 % | 1740231.85 +100.00 % | 1831823.00 -- 1.5.6.5

13 years, 10 months

last-svn-commit-204-gf3987ed Fix the right behaviour of the regmax software.

by green

* green/demo/labeling/regional_maxima/regional_maxima.cc: Add many modifications to reach the current software state. There is some nomenclatura, some refactoring and debugging. --- milena/sandbox/ChangeLog | 8 + .../labeling/regional_maxima/regional_maxima.cc | 354 ++++++++++++-------- 2 files changed, 214 insertions(+), 148 deletions(-) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index b94de66..e1a6235 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -75,6 +75,14 @@ * bin/pgm_to_pbm.cc, * bin/ppm_negate.cc: New. +2009-12-18 Yann Jacquelet<jacquelet(a)lrde.epita.fr> + + Fix the right behaviour of the regmax software. + + * green/demo/labeling/regional_maxima/regional_maxima.cc: Add + many modifications to reach the current software state. There is some + nomenclatura, some refactoring and debugging. + 2009-12-17 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Fix bug in the direction of projection. diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc b/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc index c832486..65b6608 100644 --- a/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc +++ b/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc @@ -27,7 +27,8 @@ // #include <mln/data/stretch.hh> #include <mln/data/transform.hh> -// #include <mln/display/display_histo.hh> +// #include <mln/debug/println.hh> +#include <mln/display/display_histo.hh> #include <mln/fun/v2v/rgb8_to_rgbn.hh> @@ -49,6 +50,7 @@ #include <mln/opt/at.hh> +#include <mln/transform/influence_zone_geodesic.hh> // #include <mln/pw/value.hh> #include <mln/util/array.hh> @@ -255,108 +257,6 @@ void print_count2(const mln::image2d<mln::value::rgb<n> >& input_rgbn, } } -template <unsigned n> -mln::image2d<mln::value::label_8> -compute_stats(const mln::image2d<mln::value::rgb8>& input_rgb8, - const mln::image2d<mln::value::rgb<n> >& input_rgbn, - const mln::image3d<unsigned>& histo, - const mln::image3d<mln::value::label_8>& label, - const unsigned n_labels) -{ - typedef mln::value::label_8 t_lbl8; - typedef mln::value::rgb<n> t_rgbn; - typedef mln::value::rgb8 t_rgb8; - typedef mln::value::int_u<n> t_int_un; - typedef mln::algebra::vec<3,float> t_vec3f; - typedef mln::accu::math::sum<unsigned,unsigned> t_sum; - typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean; - typedef mln::image2d<t_lbl8> t_image2d_lbl8; - typedef mln::image2d<t_rgbn> t_image2d_rgbn; - typedef mln::image2d<t_rgb8> t_image2d_rgb8; - typedef mln::image2d<t_int_un> t_image2d_int_un; - typedef mln::util::array<unsigned> t_count_array; - typedef mln::util::array<t_vec3f> t_mean_array; - - mln::util::array<float> abs((unsigned)(n_labels)+1); - mln::util::array<float> rel((unsigned)(n_labels)+1); - unsigned nb = 0; - - for (unsigned i = 0; i <= n_labels; ++i) - { - abs[i] = 0.0; - rel[i] = 0.0; - } - - // COMPUTE THE SUM - t_count_array count = mln::labeling::compute(t_sum(), - histo, - label, - n_labels); - - // COMPUTE THE TOTAL - for (unsigned i = 0; i <= n_labels; ++i) - { - unsigned c = count[i]; - nb += c; - } - - // COMPUTE THE PERCENTAGES - for (unsigned i = 0; i <= n_labels; ++i) - if (0 < count[i]) - { - abs[i] = ((float)count[i] / nb)*100.0; - rel[i] = ((float)count[i] / (nb - count[0]))*100.0; - } - - // COMPUTE THE MEAN - t_image2d_lbl8 label_img = mln::data::transform(input_rgbn, - t_labeling_rgbn<n>(label)); - - t_mean_array mean = mln::labeling::compute(t_mean(), - input_rgb8, - label_img, - n_labels); - - // CORRECT LABEL 0 STATS - rel[0] = 0; - mean[0][0] = 255.0; - mean[0][1] = 255.0; - mean[0][2] = 0.0; - - for (unsigned i = 0; i <= n_labels; ++i) - { - const t_vec3f& mean_v = mean[i]; - - std::cout << boost::format("%2i|" - "r = %6.2f, g = %6.2f, b = %6.2f |" - "c = %7i, %%i = %5.2f, %%c = %5.2f") - % i - % mean_v[0] - % mean_v[1] - % mean_v[2] - % count[i] - % abs[i] - % rel[i] - << std::endl; - /* - std::cout << i << "|(" - << "r = " << unquant<n>(mean_v[0]) << ", " - << "g = " << unquant<n>(mean_v[1]) << ", " - << "b = " << unquant<n>(mean_v[2]) << ")|(" - << "c = " << count[i] << ", " - << "%i= " << abs[i] << "%, " - << "%c= " << rel[i] << "%)" - << std::endl; - */ - } - - t_image2d_rgb8 mean_rgb8 = mln::data::transform(label_img, - t_mean_lbl8_with_rgb8(mean)); - - mln::io::ppm::save(mean_rgb8, "mean.ppm"); - - return label_img; -} void print_count(const mln::image3d<unsigned>& histo, const mln::image3d<mln::value::label_8>& label, @@ -561,9 +461,111 @@ int main2() return 0; } +void compute_stats(const mln::image2d<mln::value::rgb8>& i_input_rgb8, + const mln::image2d<mln::value::label_8>& l_input_lbl8, + const mln::image3d<unsigned>& h_histo_rgbn, + const mln::image3d<mln::value::label_8>& l_histo_lbl8, + const mln::value::label_8& n_labels) +{ + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::accu::math::sum<unsigned,unsigned> t_sum; + typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean; + typedef mln::util::array<unsigned> t_count_array; + typedef mln::util::array<t_vec3f> t_mean_array; + + mln::util::array<float> abs((unsigned)(n_labels)+1); + mln::util::array<float> rel((unsigned)(n_labels)+1); + unsigned nb = 0; + + for (unsigned i = 0; i <= n_labels; ++i) + { + abs[i] = 0.0; + rel[i] = 0.0; + } + + // COMPUTE THE SUM + t_count_array count = mln::labeling::compute(t_sum(), + h_histo_rgbn, + l_histo_lbl8, + n_labels); + + // COMPUTE THE TOTAL + for (unsigned i = 0; i <= n_labels; ++i) + { + unsigned c = count[i]; + nb += c; + } + + // COMPUTE THE PERCENTAGES + for (unsigned i = 0; i <= n_labels; ++i) + if (0 < count[i]) + { + abs[i] = ((float)count[i] / nb)*100.0; + rel[i] = ((float)count[i] / (nb - count[0]))*100.0; + } + + // COMPUTE THE MEAN + + t_mean_array mean = mln::labeling::compute(t_mean(), + i_input_rgb8, + l_input_lbl8, + n_labels); + + // CORRECT 0 LABEL STATS + rel[0] = 0; + mean[0][0] = 255.0; + mean[0][1] = 255.0; + mean[0][2] = 0.0; + + // PRINT STATS + for (unsigned i = 0; i <= n_labels; ++i) + { + const t_vec3f& mean_v = mean[i]; + + std::cout << boost::format("%2i|" + "r = %6.2f, g = %6.2f, b = %6.2f |" + "c = %7i, %%i = %5.2f, %%c = %5.2f") + % i + % mean_v[0] + % mean_v[1] + % mean_v[2] + % count[i] + % abs[i] + % rel[i] + << std::endl; + /* + std::cout << i << "|(" + << "r = " << unquant<n>(mean_v[0]) << ", " + << "g = " << unquant<n>(mean_v[1]) << ", " + << "b = " << unquant<n>(mean_v[2]) << ")|(" + << "c = " << count[i] << ", " + << "%i= " << abs[i] << "%, " + << "%c= " << rel[i] << "%)" + << std::endl; + */ + } + + std::cout << std::endl << std::endl; + +} + +void save_histo(const mln::image2d<mln::value::rgb8>& input_rgb8, + const std::string& name) +{ + typedef mln::value::int_u8 t_int_u8; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + + t_histo3d histo = mln::data::compute(t_histo3d_fun(), input_rgb8); + t_image2d_int_u8 display = mln::display::display_histo3d_unsigned(histo); + mln::io::pgm::save(display, name); +} + + // n < 8, n is the degree of quantification template <unsigned n> -void demo(const std::string& image, const unsigned min_volume) +void demo(const std::string& image, const unsigned min_vol) { typedef mln::value::label_8 t_lbl8; typedef mln::value::int_u8 t_int_u8; @@ -580,45 +582,106 @@ void demo(const std::string& image, const unsigned min_volume) typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; // START OF IMAGE PROCESSING CHAIN - t_image2d_rgb8 input_rgb8; - t_image2d_rgbn input_rgbn; - t_image2d_rgb8 output_rgb8; - t_image2d_rgb8 mean_rgb8; - t_histo3d histo; - t_histo3d histo2; - // t_image2d_int_u8 projected; - // t_image2d_int_u8 filtered; - t_histo3d opened; - t_image3d_lbl8 label; - t_image2d_lbl8 label_img; - t_image3d_lbl8 dilated; - t_lbl8 n_labels; - - mln::io::ppm::load(input_rgb8, image.c_str()); - input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); - histo = mln::data::compute(t_histo3d_fun(), input_rgbn); - opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume); - label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels); - // dilated = mln::morpho::elementary::dilation(label, mln::c26()); + t_image2d_rgb8 i0_input; // input rgb8 + t_histo3d h0_input; // histo input + + t_image2d_rgbn i1_input; // input rgbn + t_histo3d h1_input; // histo input + + t_histo3d h2_input; // histo opened + t_image3d_lbl8 l2_histo; // label histo + t_image2d_lbl8 l2_input; // label image + t_image2d_rgb8 i2_merge; // merge label + t_image2d_rgb8 i2_mean; // mean label + + t_image3d_lbl8 l3_histo; // label dilated + t_image2d_lbl8 l3_input; // label image + t_image2d_rgb8 i3_merge; // merge label + t_image2d_rgb8 i3_mean; // mean label + + t_image3d_lbl8 l4_histo; // label iz + t_image2d_lbl8 l4_input; // label image + t_image2d_rgb8 i4_merge; // merge label + t_image2d_rgb8 i4_mean; // mean label + + t_image3d_lbl8 l5_histo; // label iz 2 + t_image2d_lbl8 l5_input; // label image + t_image2d_rgb8 i5_merge; // merge label + t_image2d_rgb8 i5_mean; // mean label + + t_lbl8 n_lbl; // nb class + + mln::io::ppm::load(i0_input, image.c_str()); + i1_input = mln::data::transform(i0_input, t_rgb8_to_rgbn()); + h1_input = mln::data::compute(t_histo3d_fun(), i1_input); + h2_input = mln::morpho::opening::volume(h1_input, mln::c6(), min_vol); + l2_histo = mln::labeling::regional_maxima(h2_input, mln::c6(), n_lbl); + l3_histo = mln::morpho::elementary::dilation(l2_histo, mln::c26()); + l4_histo = mln::transform::influence_zone_geodesic(l2_histo, mln::c26()); + l5_histo = mln::transform::influence_zone_geodesic(l2_histo, mln::c26(), 2); // END OF IMAGE PROCESSING CHAIN +// i2_mean = mln::data::transform(l0_input,t_mean_lbl8_with_rgb8(mean_array)); // BEGIN DUMPING - label_img = compute_stats(input_rgb8, input_rgbn, histo, label, n_labels); - // mean_rgb8 = mln::labeling::mean_values(input_rgb8, label_img, n_labels); - // mln::io::ppm::save(mean_rgb8, "mean.ppm"); + save_histo(i0_input, "h0_input.pgm"); + + // without anything + l2_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l2_histo)); + i2_mean = mln::labeling::mean_values(i0_input, l2_input, n_lbl); + i2_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l2_histo)); + + compute_stats(i0_input, l2_input, h1_input, l2_histo, n_lbl); + + mln::io::pgm::save(l2_input, "l2_input.pgm"); + mln::io::ppm::save(i2_mean, "i2_mean.ppm"); + mln::io::ppm::save(i2_merge, "i2_merge.ppm"); + + save_histo(i2_mean, "h2_mean.pgm"); + save_histo(i2_merge, "h2_merge.pgm"); - output_rgb8 = mln::data::transform(input_rgb8, - t_merge_lbl8_with_rgbn<5>(label)); + // with dilation + l3_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l3_histo)); + i3_mean = mln::labeling::mean_values(i0_input, l3_input, n_lbl); + i3_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l3_histo)); + compute_stats(i0_input, l3_input, h1_input, l3_histo, n_lbl); - mln::io::ppm::save(output_rgb8, "merge.ppm"); - mln::io::pgm::save(label_img, "label.pgm"); + mln::io::pgm::save(l3_input, "l3_input.pgm"); + mln::io::ppm::save(i3_mean, "i3_mean.ppm"); + mln::io::ppm::save(i3_merge, "i3_merge.ppm"); + save_histo(i3_mean, "h3_mean.pgm"); + save_histo(i3_merge, "h3_merge.pgm"); -// histo2 = mln::data::compute(t_histo3d_fun(), mean_rgbn); -// mln::debug::println(histo2); + // with geodesic influence + l4_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l4_histo)); + i4_mean = mln::labeling::mean_values(i0_input, l4_input, n_lbl); + i4_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l4_histo)); + + compute_stats(i0_input, l4_input, h1_input, l4_histo, n_lbl); + + mln::io::pgm::save(l4_input, "l4_input.pgm"); + mln::io::ppm::save(i4_mean, "i4_mean.ppm"); + mln::io::ppm::save(i4_merge, "i4_merge.ppm"); + + save_histo(i4_mean, "h4_mean.pgm"); + save_histo(i4_merge, "h4_merge.pgm"); + + // with restricted geodesic influence + l5_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l5_histo)); + i5_mean = mln::labeling::mean_values(i0_input, l5_input, n_lbl); + i5_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l5_histo)); + + compute_stats(i0_input, l5_input, h1_input, l5_histo, n_lbl); + + mln::io::pgm::save(l5_input, "l5_input.pgm"); + mln::io::ppm::save(i5_mean, "i5_mean.ppm"); + mln::io::ppm::save(i5_merge, "i5_merge.ppm"); + + save_histo(i5_mean, "h5_mean.pgm"); + save_histo(i5_merge, "h5_merge.pgm"); // END DUMPING /* @@ -685,25 +748,14 @@ void demo(const std::string& image, const unsigned min_volume) */ } -/* -int main_old() -{ - demo<2>(); // 2.26 s - demo<3>(); // 2.29 s - demo<4>(); // 2.29 s - demo<5>(); // 2.37 s - demo<6>(); // 3.19 s - demo<7>(); // 11.43 s - demo<8>(); // 96.19 s -} -*/ + void usage() { std::cout << std::endl; std::cout << "regional_maxima" << std::endl; std::cout << "image <name>" << std::endl; std::cout << "quantification {5,6}" << std::endl; - std::cout << "volume 1000" << std::endl; + std::cout << "min_volume 1000" << std::endl; // 3 paramètres en entré: // * l'image @@ -712,8 +764,14 @@ void usage() // sorties: // * fichier de stats [etiquette|couleur moyenne|% image|% classé] - // * couleur moyenne de l'étiquette + couleur specifique pour étiquette 0 - // * histo sur l'image d'étiquette + // * image de labels + // * image reconstruite avec la moyenne de chaque classe [i_mean] + // * image reconstruite avec les couleurs de chaque classe [i_merge] + // * histogramme original de l'image d'entrée [h_input] + // * histogramme projeté de mean [h_mean] + // * histogramme projeté de merge [h_merge] + + // * } int main(int argc, char* args[]) -- 1.5.6.5

13 years, 10 months

← Newer
1
2
3
4
5
6
7
...
28
Older →

Jump to page:

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Olena-patches June 2010