opencv-devel-3.4.6-7.el8 >  A bU]SdN'a1 n7RiqYƅe=τ9I 'džG> ղ0x^%2MQ (h 5u nOȠ9 _ ~d͓6)3s U= lH.`^1O#Tܰ|PS}I{T1A.:9 kVyn$5Զg-6c y|r2 㚻0Bq֕bg7jYr˳ %Gs@)A`!xLM~C!LK#J\d],+o2Mg ,;TE[ʈ*AU>Nj]uf}֩ ;I<&]Yl;Xw86l󺹼Ԧ|L?駼5=Vs̶9㿫7b|sJE#b(iD8U6af1bd90a9684a44e908f64a73c6e2e9fef5687d6917021f6ad84fe59cc2c5e9360a24d07b9e1c480536e9142d0ee9163e9f9befLbU]Q'ȽԠ}{#OF`#{:3 β?Ƃ Y/QH{qy^ʵrY*$دs5\aG `ϊ_L(/?n޼B{U2p$f`A{s@;pVaIPG䐑9 ⠷[/JFi8"˯>;Xj4~y|٩QLhT88x,zGAS/"ָctAB&6IZ^+ rRIC 2ߙkrhX0znؓ ssKԒ[: v5=,3q%uEH>5Gn_oê1uop<c?cd  J48PT[bf    x d < r R <d6<6w6(89`: GtH LI$XY0\P](^98b@OdAeAfAlAtAuIvQ|wSxZyb2cxc|ccCopencv-devel3.4.67.el8Development files for using the OpenCV libraryThis package contains the OpenCV C/C++ library and header files, as well as documentation. It should be installed if you want to develop programs that will use the OpenCV library. You should consider installing opencv-doc package.b6x86-01.mbox.centos.orgSYCentOSCentOSBSDCentOS Buildsys Unspecifiedhttp://opencv.orglinuxi686 Q Y F x ayB/j@a Ei'!'- AN!>EaMMTo\Mq >6\ `<pe;<0[-D!c 'M&X 4.B'#$yp "5ř4-  EX{P%0 L?9xY[vP - ) / AJ$+YT  A ; e o  L5+]xP=%*XR."7 c$ vNa3s ~ + /F E  S   E  \ % & 3  ] 5 XA%W . VB  \7 = = D'gCY!R+k ?# f*9MO`=8HM  R ;L !u  9o b! A*D E\o g= C , BFkz < CvNAU3 | R ? !  ^ *>OH(  ?))7O/p A49 e21&_ Z)]O-U k _"XFz!;nE{] E.u6) NƖ F5~, ?f20 AbZg/N * ( ( @ "-X2 Q D+ O@"i;- u # I $5_;D !!!A큤AA큤A큤A큤A큤A큤A큤A큤A큤A큤AA큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤b\{\{\{\{\{\{\{\{\{\{\{bb\a\a\a\ab\a\a\a\a\ab\{\{\{b\a\a\a\ab\{\{\{\{\{\{\{\{b\{\{\{\{\{\{\{b\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{b\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{b\{\{\{bb\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{b\{\{\{\{\{\{\{\{\abEb\a\a\a\a\a\a\a\ab\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\ab\{\{\{\{\{\{\{\{b\{\ab\a\a\a\a\a\a\a\a\a\ab\{\{b\{b\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{\ab\a\a\a\a\a\ab\{\{\{b\a\a\a\a\a\a\a\ab\{\{\{\{b\{b\{b\{\{\{\{\{b\a\ab\{\{\{b\{\{\{\{\{bEb\a\a\a\ab\a\a\ab\{\{\{\{\ab\a\a\a\a\a\a\a\a\a\a\ab\a\ab\a\a\ab\{\{\{\{\{\{b\a\a\a\ab\{b\{\{\{\{\{\{\{\{\{\{\{\{\{b\a\a\a\ab\{\{b\a\a\a\a\a\ab\a\a\a\ab\a\a\a\a\a\a\a\ab\{\{\{\{\{b\{\{\{\{\{b\{\{\{\{\{\{\{\{\{\{\{\{\{\{\{b\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\a\ab\a\a\a\a\a\abEbEbHbHbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbL0b48125a2b0c5fc08e54780a347b58826044ff7723bdf27f27b08d6c3522fdd55c3541670030063a5056063c1342fcbcfb55de594fd6a383af6216cd55cce5813ec0738fd710e42a22e342883feb9728c24fad7b03a32399c3a43193ac634b60c486fe9eae56f2f7ff880379b87e9490d14cb6fe8bc797423e974c526843d693810d1e150962dfe3d6c06adb0a7c662cb63088393d2ce11115ea3c39fcf344a7953c1941a4cb950da98469889df995c394d2b3c8a10d68d1dd79097e2c1538dab752e6678620be98f5ccd9d00591f7697c9232c99ba5c0d603add88b667d54c6d1ee7cde469518cadf326af26b67946feedaad5ccdc1441076b9c33ddf8d39ce65db02018b59c01f36a4074f414cf545e8c4a93b584214fa49a1cab52ab524b4e152e39e17490fff9186e114a71f80e0cffbd26486b1e049d1f6bd20480bad41145a8952d750e8529f9991af8c65a72a2f5adca25e69e9c8c3574c7fa33ac92b9174ca7046a8539d9e794c4910765655c3fc1bc50fa88d073f4225579f0557225430fd1d9d828ee4099fc911648cc76ace5f1c616ddaefab3281dab69a42fcb94e518937a5156aae3653392d0bc8cff954efea02723e20eca7fe468f00488a8848afa9b0c289a613f47c73be5b0648a26b4bca8bbb6814b12aac51a59076976fba6fa34925cc29aa5e30e872e94ca2c75ae291bfdcd4e04cbf4138d6e4d823a37339752dc301f556b5d922d2ac5ee1afc68f3f756194820b449fc07c298b3843005418bfd5ab8459ce1e792b0b15ca861dc47835ae7168e3f981e27f97243b4752177d07cf07b1857e148ad4b376a2b23d7a27cfe728687bf748eb88899a71bcfd1eca96e34d5debbf5be9f60b6ff70fc1ae0b2864faa2bd47e711b84a2bc5237106d0a24317dc781effa5e5df1db2d4261de415311feb424d5c90029859a4f584cafb3c18dbf7c5f6c34e9eff0c018185c12ca9c3cb00955d1452e42fcbf5e5bcb15f904b42b00e4588400c09c37b7cf7a69102dcbf8bbd21d830823cd59a008180944ac1d327ded5b7ffe224b552baf5ed3eadaf27e97842806f9fd8b83fa581551caaa7d718fc298151a225f36e4faa50aea731642a2daf4af9c12a9c5e46bd736c141fc8ec8de5b91d73257afa8977c2a9a19ae59efee71f074f5df2be5cea514812845feb59482da8b9eafd63cfea34f6bf5a8d95320b5d772d9199add8a163ae796650789502cd1f60c4e739883bfac5ff5ba932ea60ba868e32cef31ac982210cdc2abc555d9abe696dce11a2acafc29a9fe45282dbaa0d17e001a6783b97e28cdd7f1aea4ce643802a15a8a5f72c48190d55a726753a70b177667b43918c9d966a1d9c1c8edf85ab74c662bab8584c0f69f5b0a4c47b1709bb450902fcb61a830d257ca50c45822d9918e5fb8719e4f5294ab5791ed8f9ebfa79e723fca166ee1b7fbde9fc1dd9916d6d4d2a6ab69639a0dea265eb4b309993349b5921a4ea4d80847984ef8eafe4746ecc18d5bcafd10564ce4c24e2416043d8579847d0d5b587ed86956ff5ad7ab967b65244fff6adb274c6a3512fd3bebaed3fb26d59fe827c3d203680e7c66c41e89f00015ab61315f61a151b9953347f10a0befe56e38f53ddfa4314de57404c9ab1959b7ba3ce5caac758e54252c08861db29706494ee8db1c697ffa51541ada3ea6eace83f2c776c9fd24f755bb412bc2c6dec035bb5aba46f139fe841ce5b09f0f098d330378a29b39db9f2d38f19be19c20092ae7b45369b4eb86bc3b9c2cd64331c93d3ad9c338285e7f842adc3dd33316dc2d0db524ad95384379f2d09d46e3dea1c2e036431c004107e53a4a9770f8f7f9cc05e1ba9db626bb6cdf2833b3f56c0423efa9ae8bbfac7a31ae7d4550bc48325f6c4d2c52450039dc7939ae514e4fbab68100ca4cd4e942279588a57fffdffb0bf1cf90603ed95ccfebc0e3c697289f3cd3f5cab012d7bae116fa3f96811015e470bdb82af562d1ddd7216a9ca3078f57654a1c54a815603e74d17216c8672650821b8fd19a4a3b2c18a9bad2878064f41bb82206a1297c2bdbd0193aa82cf9aa11a5c0e8a599e93ffd40d3ae45d62d1da19a4b38a00d64c14d8caae8f2ac6db61c660a173e05a32ba205a113b562316fdeefaf70dcf9c12bc1a22d31a9b6c98892ee9425c177d54d8b1f434396b87124250a575cd2bbcd410b53888c9aa675546d761bb50159c27b8c1afc0b7f97981bbb6a3fe80befff04e6d2ed02f82116bb723daaf48f42deddd527f1483cd30b1ca19e7e76acaf836e95749218fe005038a7802c6f01d755f8bbfd78efe5d09790c3fb1722a8f24a68d4048ff38a30bed3a5c49ee250e54c62a976a129357957fc79e09884e8eddbdf09bddec86f0ccd8bb12cc19901476bb61f5b25d62974661481f9e1126ed3af3439a85c100fad4b7b899797d2d47bde358a8baa0237041edbacce6027f2c513d21e0a5bb328f63d7ce621e96bad38aa846b9bb001da72048f1dbcd49311606c35a238ae5b9262c3f207fdaca653a09e9167fa3c0dec7e46469c029be17942c5fff0fe564f4375501456d3853386bfe71e11a2ab86b3e1c3122ea644d64bd1a3355bbfef48bba4ba3c9a282bb1e0d4fd0f00aacca8b4e00261e4c63f2c3e7f9ed472ef320b2884d88a91029fa59f1c37a0efb021efe332450c71e9c0194840fb01157fd193f778c6ab8996d00802d47194035304744ea6e81c7eddb4c7a20fa4143cb647051daf48fdf00b959c67edc38cdd107464c2901adc03dbb6c5e9642678133322381959f363fa5b024ea760a4ad432effc575097ffd847d945e49db646fcc1b3a6af948d2df7d1b4b560809d409e5d9ba2e3c12a5d85098a8987c897e239ac9a8a3109f96ba84d3b06426b3676a1ad09e621107adaf40fc3fd388e7dcbd323cd1db55e9ba443e97474d2a97cb8b99eb6c22f76659ba2cb8d352dffbb1c9deb9b9443738efd947fc7abae68bc81841a1243d49022a5328807143d3b818d82043eeeb82ce23118e9761e8eda3b9223aaf5ef040f58751a67d641953f48f29be9e354b31e4b3d113d2f7a370650bb8767e0475e621f487c543889ba22a9f1a54ea731dfbfff652df40418d732f0e1b1244673bed3d1aa5d265da7c122df395613db60bed39fdf7bbce0b0e418166d275fab0a342ddf3be9fd4ba05efa17da8aa6ecbeb0405414659745eec3cd095feb3e931ab5c949ccabdfd7fd568fe8a3299bcbc8e7ff8dd0837fe350d07e708e79f706f627909fc71c65f32973f58420a8cbd5161d7ba512868357d6782486d661f4b25356d0c3083f8885e7532b5b7b18bad01e14d8ef2b12df417633e49c8a7341e9f82d70eff7ff84fd944fa098947254ee491ea869c3b3efabe82520bdbb1e1a21fac2b9afa890611d91a4306d98770d88c1d66389ee706dff3e1a49fd49f10a93792dd746b0f0b0994db771659f87930dfc42edaa8bafc04ef5979e151e819d652770619d94f9d0075212ff194c9cac4011f015cc9cf434a2934dadd40f62d2f6e038b02b0ccebc0426c963e25ef288d253b260114e051b5b02a6669d1e34fb8c16d7e9d4ba33b92cdab49e17fb871a04040e76ba517aa6dbad79bfb50b3325859da9458bea8e2f323953499f41dc0c37f803a8272b7ff5849eb92e6008f07a9efeed0019d861dd16daf913e07c90e5d27e2007adfd73f14fc780887e2052b46f699a10991a8900b380895cb88eabeca3de0b23bcc6d2c6d5af203ed80c87469d8bd204492c6b9b3315b2f29ef62e3a5bfe97f704c403cf040bd209ffea64c684e7a918fe46b8b9d3b8ed1a9f6a68ac99422d4dd2234bcfc3579a3e98f38b1329a0c9d9078868469a22609c2e59f0aaecffa52d5338e50fd6a8c900929629a25fc87c44b8290067d9d4fa8e8d7469766d25f304dacc423dbba915c34092e877ec5247cc51d5243d4d1cb5b69ff42fc18d95ac9bd51c742f53a586e1d32a002f10c8bb3986872c63ceb390f96cdc559c5c2d7f8795579667b48f2f78884f7eec32970d8469545f1c90948c3344df96dbe5ba761b66e884737022f6366db58244c277473467a21870b86ec9339eac03c48c62d162ac4f537960e50684671ca6a4b95c1eb6db5ba05e8d9f42f66b930ac8702ae7f9d5f92cbe6e8139978c3c8dcea2052b34e93ba63ca0556e5b25099c4dd315f70e9744e968d9bdfea84cdee4aeae0c141e300cc90ce44329accdd535952c3c48dd1a0c170d9d5a67efb485599341e1d7cbbddfab6b38c334233891f3db47d3f9a3e0bd8c679d751d0c6205b13ebafb5b656d53cef29e3499873757886b2da3ab7b73c8f9da9214399ecb88b7e478943ff311464db791abf5625b3b31be479c9da4a3ee077846d8f2b375d506dbf9c17791095d1b4eb045cde0949e4f8e9585b47ed915ce29ac45c6c2089991416390ff6fa8ffa245d6adb1978ec19bac46ca3f9bfb5cbda14014100c23cbd29cd7f542ce6ce6389218532aa5e5db012bab985f513176bcb1c25904ff4795c0f70ab0fee92f7d4892cbd5250c9be4ed63612647b51b496c1015cb6ee9db7068bd3a6c6da80729d7ee815a15de93dbf9cee1da5d37bc9e212a5cf9019b75e2a47683c593a10390a1f7bddcb3ab796fb2fdb609c0520a7d98ac7b503119c739da38689ade5464ea2ee4f98fa8749f96c33a19d9a93368ba2d3dc9a8bc82b8c607bdd7fb801302eb6cb1bf82ccb875e139cbe8573e70b9e8a9b925a815d26bd1ce94741581f3568027d3b93993f0372a0cc84c650115ba119681e962a46083f2985fcb88c325a5277bf5b119e6a7b1508807ad0726628c3699033b34fe4502a0c891217a00322a4c8f21ff023fd820a6a0107707d95c85bb84fc5eaf8f110c3d31c42b691cdef2e9ba6a9a296a788c3e0892a934d7b72297538b39e076d21c167fb66facc41854293a82f5d34f245083c797cd9b0ffd56e3927d9adff9edd71c42fe675a962660527db1374901f08a8619a876bf9c6ae72f6ad28d18a825c8caff56eaca1642298aeb4af960b61ee1ef12e987c0471990df83ae5101ac273fa7ed84d545244c3aadf96163b00fd46290deb8146275e90c3b393dbc85905d95dd03de878b3cd6d8e9572a917b8047ea7d608df90883bd08f25774a7c8263203834f622cb77de0cf751bc523aa2e625786c933064aef20e4b13bc11c14d59f640ac59963bd02670ca352d533160d539b6e790052051530014a3309371cd9aa4dc978b966fd2ce5fa1174c72758b1245243c800edef046f2077bf75aff0877873761c27d064262bcfd411392eb68bfe87bf5b3623496f9c8c073e8b0390971c339596a8109cc323391e74c1f4b9fea01cfc6d08e6182ab4a95e8dafcfdabd23365d7f3ba144a80629b9c4aca4d3e5a8c768353403bd74cc2d9f170fdecb359c434387e6379fe5f16f9ffc77ef8dc4ba111ca517c33590230225b2f2919a11387aa601f19585b2220b4aa9c9c1c3edee7bf8855786d878a1da117ed37340e3e182b7f6a7eb49fbc72733e7b59bdff93f86f092b03e6f4cb8b0867e5b6c2e1c097f782028080df48acaa31eb477a2099b992f2a56c1395efc7bc8031e05132bcbc4cf7e42e7fb116513108b9b6f4c9107e38f9bbc6900d6f04a4fee4d1b277b679d209b13e33e47ac8daa4d0a1b86c7f1075c1cd00d3aeaaa42423219ba6a4258d9c6d37b1c21c3b669cba676747638cb2ff818877242b733da5312138f539a24c82206f73f22cf5ec5485fb84e87e7cd27160879cb9f05bdf779e5ed3b53daf7d45d6c830fbbcac0c8e1bd50a2345c915751170c57d0a4ebc127a090d051866beb7ba28a9d186a0edafb4c712de5331941bd3d0ad1f25eed5c99d22357c517dc000687a996dab8e9dc274a7dcacf8461e2600a26a2ae50128d1f1ae427ea8510c17e2f8e4c7415d40599e523568ad1c1e8667681ed02a838cfe6c682b174f31e0762f5b2a2dd4a69960138c6fb4c6e11a775e0e418481bebc1765046450e8f924860e49e456bf9346311ae9b84b58a24d3972b581a4638abd34e270d8a28c8ef535da97b533743a16f2ecb82eca5fc28b2484d6187b5c1a611833fced7aca3673e4fb0a0377535623ec349fb6d8eb4fc9c074693e1a76503583ade09072fc82ec63a2a9462d00663da51f798d87ebf4dd8a26657fa54e3c3b08cb1cae1d21032248ceb62b3228c5da79468dd0bff9ffa5eb9d95a8cf8443e75cef73d3c81655771502d13c3779eaad0c639e644f354f102d7f0a12a32cc1f4ac9fa8f17be747ec35d5ea2460c3274c6cb39bab1bae8ab6f7fcf6a3720d8ccf2d9f0e39960ea20be7f332f852d89f0f9de38c6612a96a1bc08a14914aba28f64f2759f27948eff65e3dc6bb6abced90997b3c969f99eda3f91c9257ababfe45427f66c90c4bec92ff6a5a7ab3178dc3ba0b8b54199ffacb9a67d5e462ab12059b2ffd671487110e5e919ab42234319b75a583378aec6fc091ab947df878af45a9cb321d7dd3987654720021a442c4ccb3d3cc5e58cdd8f8b4f9a7aafcb3b17e3580cfa3cbb73fb3cf8d9d3c757ed9d7957f34c9251bb237330543620503429979fd11260d716e6f44776f7c42604c033f211880096b35afc1b43e5b32a37937eb9b2eb8d3724a108ab2cd16e2161d87c91b359491b0661f2c5f41a80162c98798b021632cbe126be9b66e866d8cdfa0e0069260e77a48a4b21eadc6e2c486694efd24c73a5e4cb6887b8c7ce83403993e8e0f8e26fe4fa3f9a6479d9d7e17536780f8098e5e9555863cf3118126d55636a69a4c11fa04a7e8392105824c4dc60efe6f92bfa83e726282e20b97e22a0be6e79d964ab80e21d8e0e4d2cdc10b55d1d6110b246b1a3f2e3285b301be1de43ebe25eb0ded00f593d6a209d180be1478bb29f409d6e163c9b41a816882976116e8589ee0ba477a3990e16c109da67b94fd4a97a08aa873165f673e765c05c5f0822c8e78d9a67df19f05861a19e5ffa3197dc96fb63d678c8db00d53d56c068a7d17fb22017ba09466dc4ff706cc904ea4c0c35d231146c7f84907a8fe39ff985397b9303df995e44f7ebbd4815afbaf808ae617811f1104f676d68db4980a1c973e6e825147c1e3e9c2223e6a6daae54a22cfa173984997ae0ef3887ac3e85ed6cfa87fd08a3bfdcc7796ef6f0ec118861ba43bbf4a132e55c44126cf377b144532f09964939de9e45b7afe0bfc824aeacf0213cbaaa909f0f06856d5548165f3f81e5a68e7f3deacdb131abf15b631f83a4289b7883110d7263601f437a0200ffa3829bf81d9fdd2968e08b921de8ed1856581719d801e6635c9ae329b0494d9dbd7eaaacf8a71af8d6caf5ee5100eb5e13e8c92e8d0e2f83ea10457e38e908f333a0405330493436a82a7614c1a60a72a75fb7ff61795724744836477db0b95ed3502d7f162dc164657969346860c2f6499cfcb3aa97a50f39346a70a5714ed700dc504426a6105b43c4fa22401ccd98e7b0c43893df78a88622a2a0381e450916c20c7ee7332708635cbd124dc1325d35e1340bd6e58c0334386430630cbe0208764e7fe67a1479b98b71f8932b7ab5e70d31c4d55b428b1376eb1b6a25f70977c89cfe25f815b0e2e5fa994c09479d51fa58346cfad8fc4242fe40fe3ecd1450796de8dd701a59ea98fe117b4779b82b29bd391b3a258a0c21d36d84a6c56cd7316ac95fd9b2ca8d017ba82292d1ecabf3d45af715fc5260f6a1c884151d4dce938910f39562a4c4cfb16973f2012cb1f4980d641f9dcacba7694c5b129af5589391154e2b2f00477ac31309b912dc3c2be48c8e40e0033d660a8944bdd058eb68d173e001c6dd6a6fe9e3c71f194c3a735fc57bfa7fe5c8a320dc11e14eb510e118a48f79ba88c42e6f65e9f0d847093371516377eb9c6912815395f4eb20c9838fa19f5b3413123406ea35830679d2a87bd4dcd40de4abd39dfca89f6a798bd0a0d6c51abd4cbbca161c9a698a06ea8e82b83b35f22a718132143559ae380848a8439f631dd41864900ccb292123d7108bb5c65b980ccb103068320625692b8b8ed0d071354adb1b15d07a195903ec64c00811ad5e15a81d74b13cbd5b403408d2b06f45e18823a90a952190743d464cab669d6845d6b90798d47268604dcb808d7348fb2654eb4f79f6917fd81ecb13b05caef6d5157b6fd6ca23f4109db31c01d0fb243732484f7deebecf99268dd7b222e916e6f635f19d4d2ddcffa0da5b030cc954dff965f252c568bcd03f638743f97d4f50f7fb6edf29be408b4eafcb5da34efb92548666a8b44c88ce4f149139119bd559d6905a4f5b714a65d96e4cddbc1402b77182eec295fb16b9b57d5ea1867d48a6eb196b1fdd793d905f0c6490a2bbcd5cd241d100b675c5b8efae55da64e7448104a20f84a0c48156df988170fd2ccccde7c8c5faa3b84457c2c846037c73a1f52d91eb32f8689f1ff49b16dbe14da606539737a14e46be9f2d80008219a5493ab0bca7c5ced0a1f1470454a4008528566419ee3c6c16812187f68b5e1a7c6239149611a3dcb86b962d5c724e5978c6c3d5c06733d06503f86ab5f0637564f6e2d5435540fbc005d83343e26426ef89178dcf8395c768ed2fad0381d625bb2bdfd3a9cbc49f8668119ae7ccb4a2ea48a5780b1f285413a633c62fc4c0c3ab540d600e033e056f63e44c94c10a68b47626aee1a905f6eb7a8c4b882ff82ee8d8aa892dccb13e26a0a091a18eadf17c64951490ee302689dd0ef79d88330aeed62b7317448ef5e171f3fa525b9c97d53d751833ea0be7adaeaebd80d5c43cd7025497eb9815e7622148c48121251bbead02d5e0ce28ee6c841ee1d817b840b58e5a0171e0e3d1d6073a09f430a2769ed937f1ec14e8cc797c8deaee5de0bc3a55846a23f336d426cf89048314997632d58b797188764cc610414307a64972acc1578c17be860d380b31e2053827d7f4df0b035808c68065044b89b04a371ca5ac8bec109b669e81644060b50d098b24a8fd91177a941ba2252f9ae21d7fbb25541527c04c6b64358e4e69cb86205ccda10727e25d40cc7dd6583c5195fcb406277321a69977f350e4196db0a5be61cb84a0f57359ccd825aee38a6d390ae1e7da8a5740f9080e11a22d03635ab05cc3278e9ac8ce98ddcbae610e707c2cd77c44be70d2a066081a858386bdfd8f5bf6264e949206fd0edfb12d9b5ab909d4ebbd976b23db34631f3e0f87ad19ff648c3d24e5d762bcf62254666853651c6c33e9de1c9cff42d354370625d2155d9d6950627728d19a9a90d6777a4b56eb6e146bfaea5c5b44a463fd3cabb4dea779ee1eee36b6f3dc145d2603c048abd269b73b553a004296f31d33795594f0c54208f83676f8cb21d02ded0b6c1ad72646cd54bf38b5a446c6f23acf93a53c663172b3bee6e00b449cf281e26d025c39df571c4fb35dc46db372fa2403d24b20e0965ceb05191df322ca776beaea525dc323d59d498d67deef9713657e36073dd439a3d065f4abbfc9634b7818c877439acbd366342c31d961903d12b5be23f069dd904c2d5d1ed764928a9a34720a3b31f3b5b1c5e9a92214de963b85b1a859fab5885e28a587c8c8c54488649ddb39c9f56746204e67be69866249a47eafdfd390d02304cc99b607fe409041e0c367749182d4e144ca1d4365aaa7bf1b2b293cdc9ca592dca4d2064e4c877cb21448dda4b0634ab452a791299fad92fcb4440bed912d8820032365411f16777bd192d1799a6da1d325004fb0c3db25264ddabb89fc57785337bb8c540041dc1c108adf358dda13c4ed1fa822786e99ce2aaf807aeefa8d1ad9b83b7cd6c55fa9c1e5db9c384bad71ad17367584dd3965dddc94e77ea20e76ad0643933493ecce7687b43329bac80be178172fd79727b2b97d72dab960f1435b2871404eb061904231c518d9cbcef519fdd390f405209c3ab971091cbdd704f78de13cc9ae076ef97df3e6887b236217b7e89985f9566fdcf541c0e6ec2bddc0ab2e1b19e61df5ef5ca1cbaba6d1ab9c4aa1df2453d4c559ae72e95cb350f4386dbd6f62cf524e898c144d6101562f5d31c8c41d9811e7a4e23973fb3a4401f761316f734cbf877aca50bc2d3a6ba6d349e828dba3eddd032c575b8a818c8ec1a15ef34fb631e5119cdf4fd2b3adb211184141999da57705669e47c0a46a0a5ac06eb003eb38da0937ed5134be5a131638d32f107cf6ce527f65291adfbf83a462409d373fb7242c54f5b76bd3a26b1f1d445e3f38ea296ff0bb150a2322eb76db1da877dd6bddb8442a02b971e6dc1f58d6aefaae107ba3237dc88da2c1d671f811ddb518bd35b1058f66192a7fbabf17e6c4f03f390afebecb7332780f96e5097933b8491a333b681bc407aec48ad9fe09f54a2cbadf3432d148631fd1f1a111f2f02d023ab0e68b8d7ae6c131e49f29424ccee023f96122ce1217aad9e2112a7eecc689259b1bf00445469f23078e8fb7265c9484856a184e88cfe59ec848f976e167934b365f8d6f2e3f2c1ee5c8d294eda030cf571137fba3180924e9744a6c4f525498274dd99a0036b6dcb0b03b1d7706f8fd7e116ef4d9c053e5be3da28a1d7c3e85432367b85fc0afecdb9656e12e0f3ba83381e7d17be53b51ca6f4971d7433a8140bfe322888a50e49e215539497a090b9984763ae81a01f62525532f4bf64aa5e5a4436f9d3ddab7e52dbfaa764fe2eb69fc8548ede9cd0d2867c5c0c911427c34791e566be335662eeb00d182ac9de0e1a5e4434254034f75467884237a1c40c56b106154a9b4db603eea77698cea3e06296558eceaa3a2d1f6e9768b2705134ada3002073de9d41704da25540f13248bbfc2325c3a597f117e63cf421f9e4bb9a7ac0794feff9c241b37e500ec35eb72a0cda39b87fab126b14489957270be2e3470e73a143239a6480f96dea737987a9f7fa79458d95bc80f4c7f25162ba43fce6d97e551784ed5b14b8a1e43d52d6e7b02522eb8f66971eb82ee95661aa7d1a19074fe73457c143e663f0bd4180c7e4c9edbac5b6e480ffc8a8bde516124d3336726f6ee09be305ef12f6c4a99850720e0f2be4953ee1ebc726ea24573f1cb9599d7de9fcf926f067452e5100b7bd44162954ca68d7085dbee0afef62b9b983ed051831bc8959f61c87c4bcbf72e5e80d9eeefe07dbc3b14ce31a40cd1239ed75d0397abea1442ab24bd7e6de2e36819a5b08d285c73b5391355d95427b08d86315137c27dc8aee34e77ae5a970bc3d5f611fdff9e10d51dca1f7e3e1fee3d35454b2bafceee9dd1c4b784be587cf4ea96aec8252b358b71cd78d22d8c47550206d0b6e0c9eeb8a367cb79adcb2176a8f408b6612d90252a40c708898e4ac8363f2d0a20305f176bf1cd552d167ecd8b9d615ecc3dcfeab07d118157cbb79891e74ec6a18103e6d9eee5b46488fa3efd2b137cf02a003b01c90a0001d9fed92864c1c01e8bf51744cdf55e10ba939087d029edf9f337b6a38c2e20bfc82fe932d08193da998a1e5e33f2f856015141e68bcf263f47ea160888de7ed20063392fbf3570f85d370dcb9b526d7538a8f1eb811e1a7a22ef27ccf2ce60bbf7b7f59d1e38b74e29be55fa1d643150e1b5cb03033cf5bc3ee1cf8e450218f519aaf5d2676014d46f0f29719baaa98c14c84bcf2311c10325e210a4103e70cde05747e753b9cfd6590a2c1564d179e4876352f99a20937f1741488132150d9b818a837f0fddc6dcfd6f61e3c0bbd77be62ec7e896166e153c83479273e2cccaf8c46e9d9911f2b5dda828f0062f3652dd45d41d89c4ce8d726772899730ccb4c565cd0403381ee5528de9dd230c1fe0918784f333b04ec77ef746a2a6dfc60d1a58f933e0a3a663add8d15d7399c3d68a3fa07771f507344538e552089440ecd859e8d7208cd22381444201be96654bd21f4701e0e51e3a803a9f6b3fed7309eec0d780367bf9f468872c7726713492b2768ff05aed53eec31176e2cf6920682a6bdefe233f7516f874224231c7944b389947894d3a520a96176779e45aeb532f07c7fe29165dc69e320a911ac74125301381dfbb49f95ce3d769a99c783009989e76da51cb2f28b30dbd172e7f26cba9a79ec015ac32dfa4a3223419bba4c3adba1c3414c23d43b0f1414fdaf0d814b99ca1b9e8ad0dd3caa82763a415019df39a8b72c6f54993b184eeccef8d336e3c6d1b62f3df3e017d39e694d08adcc722ef77b71c28620e86c7fdd97ddb0fdc95b5bab98187296196db14ffcf0097b9855cd4ef9bfab6bffa39db40f345bf4a1a3f9ce7b437e70685e029c6dfdcb9eb184510d8676411c7e45d68367ca93bcff60271f504684c254ea54a895e4f377177edd21d8760c859060966b7a41ae45211f10c22606ebe806ee82afe4757948b231478810a7e664bf7774d872693bb460d52c1ef16a63280c2d52a647ea9a66c2d5e3c996f0489b3a5c8949a3b837eccdfbc9821ce70a7d5185eecf8c334fafadb440ea51c85889fe18dc3a36b907c94904323884a3a0abdb0fd08a1d29cd4262de6f62a6dd6dc6cfa9dfce0088586200d260c881e6edc7c8bc48e2224d6fb5848f74686bd38791245afe98d62ce9df1df0ff894b54c3a501081ce79fbbdf4aaca9bbe441b25a77d2e28736178e70caaf99de28e853e40e51396921fcbb62018b6aed6db6c14d4295e89f7c9bb8931c44320d97195921fff3c16ea4174d67f7ea2f53d43f319d3bcaeba0d61179f5931c993fa92f38f66db486338c2d25c0b9f92ce9db5adc36070cbdd43264c49622e1812f40d6f5eb59f0ef2bb87e8ffaf978369540ed1537aa026708212435623dd36191925e65bb03ae23fd1236ec4a4bcf9bfb03212834b810d28b4deb8d17381f89a0e85539a0a5b0c476540103a358ee5202439589cce9413a1e91d18a6bfb75ce051d719169697c3f2fa36ad7608f594b75ef7efc032456957aa664276f580c3d912c29443b2826a02ba157ae0856a05ac627beddf5c6b62e5d65232895d9db539805b1c55d60606d3bdd54d459e3bbfef273c4e07f8e50125f2fc2356f8fedf395a9625c557022e8d209bce6eb6e885936df19e9dd827486acdaec0411d4f3f26058a1d4c51d29c19f6ae72fed16aa855f8f7daf7ed17154eb6a5de2ee75d7edb7e480712b65490db171fb1bf63411367dfa86891752627261edff3a8e6121a7c3b9ef338965d82b317572ea8fa66e5c0d1f57ea2aea65792a1fa50aeb8ee02b96a0f422a7d4561b7cc21ba41d32bc0f93a654d557e96f8c45a948ece75796c6ca0a7b45ff4bab39da55ded882f81b0b72686bcb42628a8d333ce25242e3eea9a371c2721cc020c847736f44be0534db8d153ade296033684f3dbb8eb015de4dd6a68ced1fcf990fcfb4fdfca0eee3cd04ba34adf02eb1dedd4e6b37b5b35848e050485589e0d85c26b9c8415f5e8f709e1cb2775be8fc938de99ce16e2a407abede7554de24cbfbb62f88a65476b548545545352c70370ed0df251d27690a938ca8748877d5275a22c6d6caa13d4c7286a626a7db3518f9b5c163f65713dc0e68b4e39b6a4623287c01de5f85f842fa1cd1876c66619fdd7b87c2856a0745baa5bf54c627fbebe6901b3e16a81fc08c02c864ff47619507d1d289e874a8f783bba7c1e86817d12c4b48e974cb50132dcd4c9879db8f721e1944b0158449173460f2692d6288bd135445fa33677932151295f35b4d328c377e8a9dc1c1871bae29ab24b483164a7c5b3fb6ae41420420c9c3a28b3810ccc6e370e9de4a87cb2574495645647607a1347926b5f234255b323091ee691a8f7e7f2b87d536e3d5d38f368a813bf3cb078161ff13ce2120e610f128f6173e5835ceacdd319cb4cf2d547ca7fd936a328b709611fb88f3bfe9b36f1d8a4616179ba0c9ce79e6c49c8f2d48a857d7528c98077efe575a757d5056002ed1990fb67e2b34a3de476e717196599828909b3197a54cb9303a5133e57708b0a2a4b8ddccdb38d224b03897f78ae6fb7b5bad857e3aea30d1d9c3c639ab27c7fca5896adfee75e6c094f1cedbfd1b2e0a0fe3d4d862a0d6a33290ab0ab01db0e98e96c808afea5b8a8e3c48a3cd604950d3e5001f0b6a3434aae7c0584b9bcfde45f181263adcd32ea9a89b19293e07230604d14cb2cbb8b564579ceb7be6b27e6376d058208c4a081cd896c3119d9ab76bccf7babe2383720bfe73c12cf917327e6a8445d50d683baec0c64383aa8c1449efc99c848f555564cedcb5c9609588f358cfc103a6fb4347af1d44a1e254e3dbe91306475f7c708d56227efa0fad59a30e5ad7290f4ccec5befa08d64a18deb5b3b37859e402d04e36e9a3a25e609b000cef36e49b6bc6f3c9da96fd5fb140fa58babdba2e8dbe58b952f58b23085da04c5d76f072403d4d6bc0b49d7eee039511f0a46bd476c435675ad5d758c607f78151db4e9485791d8ef5dda0d5e2b9e2b11d9675b81e97559d27c377abdf5312bb41a9a512098c166f616326c61eeab706190e32d16f679d25dafee10635d58d252ff0190e0bd417e09eeda32222e86655008082d7fd28ba95a9224ca10001120bc66822d49086ad7f3d6c9abf87346124b5699e033a12f6b13279ebf29a58f49f324553fdad6ff720c1a7e7ced331e56cf9f422403d3af99b883f1c0fc2e29531bb3244b9031807055fc27f6041a135beb9bed56ea8b59170f129cd4f789a0e594f189e8aee25772c0f5ab708caa32ba3770280d65f8f94b5a8be515e6084ddb17f7a4e9c56de9b0e0b429b12742cc4de27387b03ecf05cd35cdd43321eddef307874ee0a75ba6603e0ee1898c27a8e9611fd57941bbb7709ffabc8c6efa08bc3ac0fe1e3da55c1c7a0ad415fab6c47beec641a1e922491ab4e9f36ab9066a03f0103e33e6702f3c6ae2b6797ea73b3147b3958ab86f81034cd5f3dd8232a0ef62414ce983af15604441d01e9e9409077d4dd2545042fc4b4be4c5152b490686d1a87b481c0f25dec85600eaf21d64f5afb9a58d623be5f209ac568a8b319516a6d9881b21b2e245699083157a740d667f0875b068217de755efa51d09086215e66c567ed9eb7c90ac4524dcff6734d11b77c1b26ec6eb930ed2ed342f3eabbb22e565195040dabecfed7ebeefb7fc4c7b07fe8fc11c159473fc2fd459c31f71e278ad7caa2c1a3b4f45c78ed1cf26c41e893b7a0beaa7094ba15500422aab2605808883043aedbdfb81265a5255834e572b34db7c3ab65d9e5382b04c3ad324d275ca92826892e489aadb6a640dcacf93ba486b2617e72d46c22a28d1d283214da48bf52c508f20af4a4c4cf097619d8551fe5a8cd46eb59685bf3cca17404be7d07e0bc576bfb71eefb82e1f8468b89b5920576dcc9c1571d5e55f35abd6b6d286a70bf971510701ccfc3169f30ad069b6727bc600dd63b544e7e546161bc3c036adb71697b4911ff38f140655d135946a187d2c750c4b7b5810365b04a171213b2e2679b7ac11413b466276aa84064814d0c37fa16371c70a5ba6b727cf94fabe7e84ce694cb023064eb09e2aa6c56794e6b14ec6c0deb1e5b459b7be67554b6f77e2e0130261e1055f03d7787647483edf371c635a0e86aade4488ec7ac9eea177d716b035c93e3825919d371e05a232414e4ed690ba2d24fd6e1b888adff08aedda96ddeb39a7173c1dacee1e08236f43ab9c62e12942bbbbc1327df97f327d6975656ce2a5998eab853bcd9306489bf4f71ad9ffdcd7e52545ca5f968b1e4711054b50e32af92557d3aca8876e806482443c104a168cbb1450969940ecaf5e8cde9223c6bc856b0c962e1946ca21f2d9873959b19a143424ac458e33a96b190ad26d6c14f1be608f6d2025e2d06db7a0c81cf32b9d67e31defa256825bb977d4126d7b00f53c90cb49638b8a9e43ec121568167e36f1a520e77b52a815bd3cced5974c492da88fab78ce8a0c2f7dfeeef9a8fd44db965ec83361a2cec8841a5c8db8e77bc453491a2f4f1bc489175446e0885c14b11b5c93ea64a728cac4129126a89dbe74238d2c54a2a699e308593bda73070f07d38fe912bef4af8a587bf820e2316202c1253c60fca72a339a32f94e85ac2c81a56559bdf977f547f56e9e4991dcda11696657e9094bac3ae3858b06c0ef05eea2deede3ce3536b94314dc4aa7631cf5ec6075b1329e8a80b2236177f415b09116cb097fef20b5f09ecdb504f70119d5620c54f9f7d4a0e53617221366e18e850046b83157984dc58b087d45daedc1955fb61a19eb6b73645c15ccc5a33be70f68e447cefb8e1cd736c65098acccbfa23c75c5768ce4120e7b445e86ae7765e7cee109c0c4e562a769a6d8681af8bcf8150030d7853c3fe77e453153965bcc3cbbd17e9c574f2260cce31a67f5705c6c950ea7b727225d1b9ab275ce8f8e6f4b5aecb663b4a731bd6d7529e8aec698cbad19ea0b247c1fd2ef6d67ed6930517d7bf72dd243d5508f638c0c0b3bd9f4d0bc3aa70b226dd7f3cb88a608b63670c0ddcba5788d59ca724107b8feac5a7a042ebf61e2520f212592a249147119f8082eb8b8c0adc74119c723d569d22955b3dff73e28f6562750d3d114aac33fb637c1ec5dcd1038f7ed3391663c1d87ff86d056a98775dbe01b1027ea7f6dcf79a3a1858d173bddfcf9da945849890b4ec35c0cbd84262fabccbcfe99346177602200608847b25889172025b0f4246a404fa686a6affc711734739580d131e39c17d592a1df0b101479e8872f590a0735610f4c5e7854e017adb0a76f904f69574688dd6ad6a750322ccf2dd65b43fa1d60006708085fcb92fa79007ddb5418274c33b2d770a963cbf518d8e972a8ef8deffab271fbb8f3a6e30c9af3004966346f298434f38dc179f2d52015c615b224396925f2f99790b918d3c0cb95a963512e00283ee1d30207f12dfc7c75b2b30c8d76745e2d03dc5ed446ab8962481b86a8bcabbd9da0199058a5d68d107046a8fcbd87a359c1aac38f1ce9e00ea8c13d54efe0248aeba99dafcb1788075ee44e89270ed4496937eca39d2b96cef73d512c7c8ac31213589d4703fcfc71d845999585ea16d880ad48a7e17c81e7d4973583126eee3143567287c133c87fa901a3b31ec242e39d0a0d600fe5e7792b583fac2fcc71a01a13c14e125ee107fbc1ff34bd377b0292b79b438907bf4cfab3158117fabc5a1a15feeae35e76f750e527221f97d6316001f3cca3b98d2cd3ef0f0071401bf9c73bfa49b673cd1c55465f16c8b8b89afd9190ed1ff82dddd14fe769f72ecbbda785f13b7a89311d91dcc7e110ae1c5bcdb8ba0cbad632aaf8dad7efa8f79939c9e9bafda57206ec569ad7a86ec2c5ed31dd2d4de2917df9db4fdcaed46d82321b461f954f40b0dc3d2d1f557b03f3d151b6f8c64bd0ed74f7cc78558c9501947bd84625a18d3eb6128ceda757fc2fe60fe15094897afee3799bec39f5c52c82f76069fdb025a88769faab6e6db96f8cb79a13c57ec375f40c13a4ce43414bac33a2a19ada7e752eaacb6f818a692f576c26585acbbab6daa8326571e699fdd49a747eca2b3a7539ff4bd5f5fb5cea020814d16d1625fa86cd244cf6f2d69f001a701ec356c2eb193f36a904560ea4b5c8ae3ecc236eb3381c6c35467faa83a76d8d964ce7e125e138a6856de4e4fe5cb9fdaac1784bd0061c3a81ce7ed2cc0bc4e2a37cbcc2ebf38b458fedc07cd9d9040981d0e107dfafc3e0010614f45ba0f1eff4d98e636bd6db97d2712c42013119d0dc612b503b9868140f4dd978522830065a00e79c060e8519062a7946b04f736f4ef640de9ba04968eb13f469d6d72e84f247ee1fce24414fefde9c31b4e02b63e8e6ec79da7370da7138ecc1f6518d639905f1dd25db7662247ccc41522ab3f8223cb465c98c2292307f035cc91abc775ea8fc0c6c9e26f4314abc12f2a9d46d4f58c2568ce51e8ecec814e18236ed2158b63badb43589325fb4fd4b37b0449d66cf9193061eb12bd8b330fae76a70bd2a6776fcecf1cc01d54538845e4dad80cdfa61b8a10832bda88fd3f28b54d1e56d359c7592c06ad4896979f0dc7f48ece2cd5f70edc81ba10bfaec931b0958e41d9b3c4420505ace199c1280e17bbd66a65c235b876230c4d28e152a8821d0b27befd0c8e56817150cbc9289a6e8383a2a70f3d111560c3fb0d826a38617cf571ae88a202f58b4e5b7dba2434e64ccd598b05d129745992589127a13c449dda174a38dcd045ee081dd0dfe68bf42daea5df9d925e239afa70657libopencv_aruco.so.3.4libopencv_bgsegm.so.3.4libopencv_bioinspired.so.3.4libopencv_calib3d.so.3.4libopencv_ccalib.so.3.4libopencv_core.so.3.4libopencv_cvv.so.3.4libopencv_datasets.so.3.4libopencv_dnn.so.3.4libopencv_dnn_objdetect.so.3.4libopencv_dpm.so.3.4libopencv_face.so.3.4libopencv_features2d.so.3.4libopencv_flann.so.3.4libopencv_freetype.so.3.4libopencv_fuzzy.so.3.4libopencv_hfs.so.3.4libopencv_highgui.so.3.4libopencv_img_hash.so.3.4libopencv_imgcodecs.so.3.4libopencv_imgproc.so.3.4libopencv_line_descriptor.so.3.4libopencv_ml.so.3.4libopencv_objdetect.so.3.4libopencv_optflow.so.3.4libopencv_phase_unwrapping.so.3.4libopencv_photo.so.3.4libopencv_plot.so.3.4libopencv_reg.so.3.4libopencv_rgbd.so.3.4libopencv_saliency.so.3.4libopencv_shape.so.3.4libopencv_stereo.so.3.4libopencv_stitching.so.3.4libopencv_structured_light.so.3.4libopencv_superres.so.3.4libopencv_surface_matching.so.3.4libopencv_text.so.3.4libopencv_tracking.so.3.4libopencv_video.so.3.4libopencv_videoio.so.3.4libopencv_videostab.so.3.4libopencv_ximgproc.so.3.4libopencv_xobjdetect.so.3.4libopencv_xphoto.so.3.4rootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootopencv-3.4.6-7.el8.src.rpmcmake(OpenCV)cmake(opencv)opencv-developencv-devel(x86-32)pkgconfig(opencv)@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@    /usr/bin/pkg-configcmake-filesystemcmake-filesystem(x86-32)libopencv_aruco.so.3.4libopencv_bgsegm.so.3.4libopencv_bioinspired.so.3.4libopencv_calib3d.so.3.4libopencv_ccalib.so.3.4libopencv_core.so.3.4libopencv_cvv.so.3.4libopencv_datasets.so.3.4libopencv_dnn.so.3.4libopencv_dnn_objdetect.so.3.4libopencv_dpm.so.3.4libopencv_face.so.3.4libopencv_features2d.so.3.4libopencv_flann.so.3.4libopencv_freetype.so.3.4libopencv_fuzzy.so.3.4libopencv_hfs.so.3.4libopencv_highgui.so.3.4libopencv_img_hash.so.3.4libopencv_imgcodecs.so.3.4libopencv_imgproc.so.3.4libopencv_line_descriptor.so.3.4libopencv_ml.so.3.4libopencv_objdetect.so.3.4libopencv_optflow.so.3.4libopencv_phase_unwrapping.so.3.4libopencv_photo.so.3.4libopencv_plot.so.3.4libopencv_reg.so.3.4libopencv_rgbd.so.3.4libopencv_saliency.so.3.4libopencv_shape.so.3.4libopencv_stereo.so.3.4libopencv_stitching.so.3.4libopencv_structured_light.so.3.4libopencv_superres.so.3.4libopencv_surface_matching.so.3.4libopencv_text.so.3.4libopencv_tracking.so.3.4libopencv_video.so.3.4libopencv_videoio.so.3.4libopencv_videostab.so.3.4libopencv_ximgproc.so.3.4libopencv_xobjdetect.so.3.4libopencv_xphoto.so.3.4opencv-contrib(x86-32)opencv-core(x86-32)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)3.4.6-7.el83.4.6-7.el83.0.4-14.6.0-14.0-15.2-14.14.3a+@_=]߶]]@]p]i[W[CN@[#@[[ @[@ZZ%Z@ZjZ}@Z|;Zk@ZiZhu@Z Yq@Y@Y@YYyYyYyY(@Y@YyY?Y@XX+XXXXWXBX0>WPW@WH6W0{W-W@Wo@VՄ@V=@V^@UUmU@Ua@UPU) T@Tto@S@SFSESS[R@RRR@RiR,fQQQ2QZ@QM@Q - 3.4.6-7Jiri Kucera - 3.4.6-6Jiri Kucera - 3.4.6-5Jiri Kucera - 3.4.6-4Jiri Kucera - 3.4.6-3Jiri Kucera - 3.4.6-2Jiri Kucera - 3.4.6-1Josef Ridky - 3.4.1-9Josef Ridky - 3.4.1-8Josef Ridky - 3.4.1-7Charalampos Stratakis - 3.4.1-6Josef Ridky - 3.4.1-5Josef Ridky - 3.4.1-4Iryna Shcherbina - 3.4.1-3Sérgio Basto - 3.4.1-2Josef Ridky - 3.4.1-1Sérgio Basto - 3.3.1-7Igor Gnatenko - 3.3.1-6Fedora Release Engineering - 3.3.1-5Sérgio Basto - 3.3.1-4Sérgio Basto - 3.3.1-3Troy Dawson - 3.3.1-2Sérgio Basto - 3.3.1-1Sérgio Basto - 3.2.0-13Sérgio Basto - 3.2.0-12Sérgio Basto - 3.2.0-11Sérgio Basto - 3.2.0-10Sérgio Basto - 3.2.0-9Sérgio Basto - 3.2.0-8Zbigniew Jędrzejewski-Szmek - 3.2.0-7Zbigniew Jędrzejewski-Szmek - 3.2.0-6Fedora Release Engineering - 3.2.0-5Fedora Release Engineering - 3.2.0-4Orion Poplawski - 3.2.0-3Fedora Release Engineering - 3.2.0-2Josef Ridky - 3.2.0-1Sandro Mani - 3.1.0-15Fedora Release Engineering - 3.1.0-14Sandro Mani - 3.1.0-13Orion Poplawski - 3.1.0-12Miro Hrončok - 3.1.0-11Rex Dieter - 3.1.0-10Orion Poplawski - 3.1.0-9Nicolas Chauvet - 3.1.0-8Fedora Release Engineering - 3.1.0-7Till Maas - 3.1.0-6Sérgio Basto - 3.1.0-5Sérgio Basto - 3.1.0-4Sérgio Basto - 3.1.0-3Sérgio Basto - 3.1.0-2Yaakov Selkowitz - 2.4.12.3-3Fedora Release Engineering - 2.4.12.3-2Sérgio Basto - 2.4.12.3-1Sérgio Basto - 2.4.11-5Sérgio Basto - 2.4.11-4Sérgio Basto - 2.4.11-3Fedora Release Engineering - 2.4.11-2Sérgio Basto - 2.4.11-1Rex Dieter 2.4.9-6Rex Dieter 2.4.9-5Rex Dieter 2.4.9-4Fedora Release Engineering - 2.4.9-3Rex Dieter 2.4.9-2Nicolas Chauvet - 2.4.9-1Fedora Release Engineering - 2.4.7-7Rex Dieter 2.4.7-6Nicolas Chauvet - 2.4.7-5Christopher Meng - 2.4.7-4Rex Dieter 2.4.7-3Rex Dieter 2.4.7-2Nicolas Chauvet - 2.4.7-1Rex Dieter 2.4.6.1-2Nicolas Chauvet - 2.4.6.1-1Nicolas Chauvet - 2.4.5-1François Cami - 2.4.4-3Tom Callaway - 2.4.4-2Nicolas Chauvet - 2.4.4-1Rex Dieter 2.4.4-0.2.betaNicolas Chauvet - 2.4.4-0.1.betaHonza Horak - 2.4.3-7Adam Tkac - 2.4.3-6Nicolas Chauvet - 2.4.3-5Nicolas Chauvet - 2.4.3-3Nicolas Chauvet - 2.4.3-2Fedora Release Engineering - 2.4.2-2Honza Horak - 2.4.2-1Honza Horak - 2.4.1-2Nicolas Chauvet - 2.4.1-1Fedora Release Engineering - 2.3.1-8Nicolas Chauvet - 2.3.1-7Fedora Release Engineering - 2.3.1-6Adam Jackson 2.3.1-5Nicolas Chauvet - 2.3.1-4Nicolas Chauvet - 2.3.1-3Dan Horák - 2.3.1-2Nicolas Chauvet - 2.3.1-1Nicolas Chauvet - 2.2.0-6Nicolas Chauvet - 2.2.0-5Fedora Release Engineering - 2.2.0-3Nicolas Chauvet - 2.2.0-2Nicolas Chauvet - 2.2.0-1Rex Dieter - 2.1.0-5Dan Horák - 2.1.0-4David Malcolm - 2.1.0-3Nicolas Chauvet - 2.1.0-2Nicolas Chauvet - 2.1.0-1Karel Klic - 2.0.0-10Karel Klic - 2.0.0-9Karel Klic - 2.0.0-8Haïkel Guémar - 2.0.0-7Haïkel Guémar - 2.0.0-6Karel Klic - 2.0.0-5Rakesh Pandit - 2.0.0-4Karel Klic - 2.0.0-3Haïkel Guémar - 2.0.0-2Haïkel Guémar - 2.0.0-1Karsten Hopp - 1.1.0-0.7.pre1Haïkel Guémar - 1.1.0.0.6.pre1Haïkel Guémar - 1.1.0.0.5.pre1Fedora Release Engineering - 1.1.0-0.4.pre1kwizart < kwizart at gmail.com > - 1.1.0-0.3.pre1kwizart < kwizart at gmail.com > - 1.1.0-0.2.pre1kwizart < kwizart at gmail.com > - 1.1.0-0.1.pre1kwizart < kwizart at gmail.com > - 1.0.0-14Fedora Release Engineering - 1.0.0-13Rakesh Pandit - 1.0.0-12Ralf Corsépius - 1.0.0-11Ignacio Vazquez-Abrams - 1.0.0-10Tom "spot" Callaway - 1.0.0-9Ralf Corsépius - 1.0.0-8Fedora Release Engineering - 1.0.0-7Ralf Corsépius - 1.0.0-6Fedora Release Engineering - 1.0.0-5Ralf Corsépius - 1.0.0-4Ralf Corsépius - 1.0.0-3Ralf Corsépius - 1.0.0-2Ralf Corsépius - 1.0.0-1Ralf Corsépius - 0.9.9-4Christian Iseli 0.9.9-3Ralf Corsépius - 0.9.9-2Ralf Corsépius - 0.9.9-1Ralf Corsépius - 0.9.7-18Ralf Corsépius - 0.9.7-17Simon Perreault - 0.9.7-16Simon Perreault - 0.9.7-15Simon Perreault - 0.9.7-14Simon Perreault - 0.9.7-13Simon Perreault - 0.9.7-12Simon Perreault - 0.9.7-11Simon Perreault - 0.9.7-10Simon Perreault - 0.9.7-9Simon Perreault - 0.9.7-8Simon Perreault - 0.9.7-7Simon Perreault - 0.9.7-6Simon Perreault - 0.9.7-5Simon Perreault - 0.9.7-4Simon Perreault - 0.9.7-3Simon Perreault - 0.9.7-2Simon Perreault - 0.9.7-1- Add DNN support Resolves: #2007780- Drop OpenEXR dependency Resolves: #1886310- Move libopencv_{calib3d,cvv,hfs}.so.* to their proper packages - Fix issues found by rpmdiff Related: #1694647- Do not generate setupvars script (introduces multilib regression) Related: #1694647- Rebuild to kick on gating Related: #1694647- fix cmakes location - remove -DENABLE_PKG_CONFIG=OFF (it was neither defined nor used) - remove confusing comment - WITH_GDAL=OFF (gdal dependency has been already removed) Related: #1694647- rebase to 3.4.6 (#1694647)- remove hdf5 and gtkglext requirements- remove openni requirement (#1599225) - update Python requirements- remove gdal requirement (#1591419)- Remove pylint dependency- remove Python2 package (#1567298)- remove requirements of unavailable packages (#1580833)- Update Python 2 dependency declarations to new packaging standards (See https://fedoraproject.org/wiki/FinalizingFedoraSwitchtoPython3)- Enable VA - Do not use -f on rm because it silences errors - Opencv sub-package don't need ldconfig because don't have any so- Spec clean up (remove Group tag, add ldconfig scriptlets, escape macros in comments) - Remove unused patch - Add gcc and gcc-c++ requirements - Rebase to version 3.4.1- Rebuild for gdcm-2.8- Escape macros in %changelog- Rebuilt for https://fedoraproject.org/wiki/Fedora_28_Mass_Rebuild- Enable Pylint - Enable Clp (COIN-OR Linear Program Solver) - Enable VA (Video Acceleration API for Linux) - Enable OpenMP - Provides and obsoletes for opencv-devel-docs - BuildRequires perl-local do generate documentation without errors- Rename sub-package opencv-python3 to python3-opencv and other minor fixes in python packaging - Generate documentation - Rename sub-package devel-docs to doc - Cleanup some comments from opencv 2.4 packaging- Update conditionals- Update to 3.3.1 - Fix WARNING: Option ENABLE_SSE='OFF' is deprecated and should not be used anymore - Behaviour of this option is not backward compatible - Refer to 'CPU_BASELINE'/'CPU_DISPATCH' CMake options documentation - Fix WARNING: Option ENABLE_SSE2='OFF' is deprecated and should not be used anymore - Behaviour of this option is not backward compatible - Refer to 'CPU_BASELINE'/'CPU_DISPATCH' CMake options documentation - Update opencv to 3.3.0 - Patch3 is already in source code - Fix WARNING: Option ENABLE_SSE3='OFF' is deprecated and should not be used anymore - Enable openblas - Add conditonal to build with_gdcm - Disable "Intel ITT support" because source is in 3rdparty/ directory- Require python3-numpy instead numpy for opencv-python3 (#1504555)- Fix 2 rpmlint errors- Enable libv4l1 to fix open a video (#1487816)- Better conditionals to enable openni only available in ix86, x86_64 and arm- Enable openni. - Enable eigen3 except in ppc64le because fails to build in OpenCL headers. - Documented why is not enabled atlas, openblas and vtk.- Reenable gstreamer - Remove architecture checks for tbb and enable it, inspired on (#1262788)- Add Provides for the old name without %_isa- Python 2 binary package renamed to python2-opencv See https://fedoraproject.org/wiki/FinalizingFedoraSwitchtoPython3- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Binutils_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Mass_Rebuild- Rebuild for protobuf 3.3.1- Rebuilt for https://fedoraproject.org/wiki/Fedora_26_27_Mass_Rebuild- Rebase to the latest version (3.2.0) - #1408880 - Remove unused BuildRequires and patches - Remove copyrighted lena.jpg images and SIFT/SURF from tarball, due to legal concerns. - Disable dnn module from opencv_contrib, due missing BuildRequired package in Fedora (protobuf-cpp) - Disable tracking module from opencv_contrib, due disabling dnn module (is required by this module) - Disable CAROTENE in compilation (caused error on arm and ppc64le) - Fix syntax error in opencv_contrib test file (opencv-3.2.0-test-file-fix.patch)- Rebuild (tesseract)- Rebuilt for https://fedoraproject.org/wiki/Fedora_26_Mass_Rebuild- Rebuild (libwebp)- Rebuild for protobuf 3.2.0- Rebuild for Python 3.6- rebuild (jasper)- Rebuild for protobuf 3.1.0- Clean uneeded symbols until fixed upstream- https://fedoraproject.org/wiki/Changes/Automatic_Provides_for_Python_RPM_Packages- Define %srcname for python subpackages - Fix whitespace- Don't clean unneeded symbols (as recommended by fedora-review), fix undefined symbol: cvLoadImage in Unknown on line 0 on php-facedetect package.- Put all idefs and ifarchs outside the scope of rpm conditional builds, rather than vice versa, as had organized some time ago, it seems to me more correct. - Remove SIFT/SURF from source tarball in opencv_contrib, due to legal concerns - Redo and readd OpenCV-2.4.4-pillow.patch . - Add OpenCV-3.1-pillow.patch to apply only opencv_contrib . - Add the %python_provide macro (Packaging:Python guidelines).- Use always ON and OFF instead 0 and 1 in cmake command. - Remove BUILD_TEST and TBB_LIB_DIR variables not used by cmake. - Add BRs: tesseract-devel, protobuf-devel, glog-devel, doxygen, gflags-devel, SFML-devel, libucil-devel, qt5-qtbase-devel, mesa-libGL-devel, mesa-libGLU-devel and hdf5-devel. - Remove BR: vtk-devel because VTK support is disabled. Incompatible combination: OpenCV + Qt5 and VTK ver.6.2.0 + Qt4 - Enable build with Qt5. - Enable build with OpenGL. - Enable build with UniCap. - Also requires opencv-contrib when install opencv-devel (#1329790).- Add BR:libwebp-devel . - Merge from 2.4.12.3 package: Add aarch64 and ppc64le to list of architectures where TBB is supported (#1262788). Use bcond tags to easily enable or disable modules. Fix unused-direct-shlib-dependency in cmake with global optflags. Added README.md with references to online documentation. Investigation on the documentation, added a few notes. - Update to 3.1.0 (Fri Mar 25 2016 Pavel Kajaba - 3.1.0-1) - Added opencv_contrib (Thu Jul 09 2015 Sérgio Basto - 3.0.0-2) - Update to 3.0.0 (Fri Jun 05 2015 Jozef Mlich - 3.0.0-1)- Fix FTBFS with GCC 6 (#1307821)- Rebuilt for https://fedoraproject.org/wiki/Fedora_24_Mass_Rebuild- Update opencv to 2.4.12.3 (#1271460). - Add aarch64 and ppc64le to list of architectures where TBB is supported (#1262788).- Use bcond tags to easily enable or disable modules. - Package review, more cleaning in the spec file. - Fixed unused-direct-shlib-dependency in cmake with global optflags. - Added README.md index.rst with references to online documentation. - Investigation on the documentation, added a few notes.- Enable-gpu-module, rhbz #1236417, thanks to Rich Mattes. - Deleted the global gst1 because it is no longer needed.- Fix license tag- Rebuilt for https://fedoraproject.org/wiki/Fedora_23_Mass_Rebuild- Update to 2.4.11 . - Dropped patches 0, 10, 11, 12, 13 and 14 .- rebuild (gcc5)- rebuild (gcc5)- rebuild (openexr)- Rebuilt for https://fedoraproject.org/wiki/Fedora_21_22_Mass_Rebuild- backport support for GStreamer 1 (#1123078)- Update to 2.4.9- Rebuilt for https://fedoraproject.org/wiki/Fedora_21_Mass_Rebuild- revert pkgcmake2 patch (#1070428)- Fix opencv_ocl isn't part of -core- Enable OpenCL support. - SPEC small cleanup.- rebuild (openexr)- OpenCV cmake configuration broken (#1031312)- Update to 2.4.7- rebuild (openexr)- Update to 2.4.6.1- Update to 2.4.5-clean - Spec file clean-up - Split core libraries into a sub-package- change project URL.- make clean source without SIFT/SURF- Update to 2.4.4a - Fix tbb-devel architecture conditionals- rebuild (OpenEXR)- Update to 2.4.4 beta - Drop python-imaging also from requires - Drop merged patch for additionals codecs - Disable the java binding for now (untested)- Do not build with 1394 libs in rhel- rebuild due to "jpeg8-ABI" feature drop- Add more FourCC for gstreamer - rhbz#812628 - Allow to use python-pillow - rhbz#895767- Switch Build Type to ReleaseWithDebInfo to avoid -03- Disable SSE3 and allow --with sse3 build conditional. - Disable gpu module as we don't build cuda - Update to 2.4.3- Rebuilt for https://fedoraproject.org/wiki/Fedora_18_Mass_Rebuild- Update to 2.4.2- Fixed cmake script for generating opencv.pc file - Fixed OpenCVConfig script file- Update to 2.4.1 - Rework dependencies - rhbz#828087 Re-enable using --with tbb,openni,eigen2,eigen3- Rebuilt for c++ ABI breakage- Update gcc46 patch for ARM FTBFS- Rebuilt for https://fedoraproject.org/wiki/Fedora_17_Mass_Rebuild- Rebuild for new libpng- Rebuilt for tbb silent ABI change- Update to 2.3.1a- openni is exclusive for x86/x86_64- Update to 2.3.1 - Add BR openni-devel python-sphinx - Remove deprecated cmake options - Add --with cuda conditional (wip) - Disable make test (unavailable)- Backport fixes from branch 2.2 to date- Re-enable v4l on f15 - Remove unused cmake options- Rebuilt for https://fedoraproject.org/wiki/Fedora_15_Mass_Rebuild- Fix with gcc46 - Disable V4L as V4L1 is disabled for Fedora 15- Update to 2.2.0 - Disable -msse and -msse2 on x86_32- -devel: include OpenCVConfig.cmake (#627359)- TBB is available only on x86/x86_64 and ia64- Rebuilt for https://fedoraproject.org/wiki/Features/Python_2.7/MassRebuild- Move samples from main to -devel - Fix spurious permission - Add BR tbb-devel - Fix CFLAGS- Update to 2.1.0 - Update libdir patch- Fix nonstandard executable permissions- apply the previously added patch- re-enable testing on CMake build system - fix memory corruption in the gaussian random number generator- replaced BR unicap-devel by libucil-devel (unicap split)- use cmake build system - applications renamed to opencv_xxx instead of opencv-xxx - add devel-docs subpackage #546605 - add OpenCVConfig.cmake - enable openmp build - enable old SWIG based python wrappers - opencv package is a good boy and use global instead of define- Set CXXFLAXS without -match=i386 for i386 architecture #565074- Updated opencv-samples-Makefile (Thanks Scott Tsai) #553697- Fixed spec file issues detected by rpmlint- Fix autotools scripts (missing LBP features) - #544167- Updated to 2.0.0 - Removed upstream-ed patches - Ugly hack (added cvconfig.h) - Disable %check on ppc64- fix build on s390x where we don't have libraw1394 and devel- Fix typo I introduced that prevented build on i386/i586- Added 1394 libs and unicap support- Rebuilt for https://fedoraproject.org/wiki/Fedora_12_Mass_Rebuild- Build with gstreamer support - #491223 - Backport gcc43 fix from trunk- Fix FTBFS #511705- Update to 1.1pre1 - Disable CXXFLAGS hardcoded optimization - Add BR: python-imaging, numpy - Disable make check failure for now- Fix for gcc44 - Enable BR jasper-devel - Disable ldconfig run on python modules (uneeded) - Prevent timestamp change on install- Rebuilt for https://fedoraproject.org/wiki/Fedora_11_Mass_Rebuild- fix URL field- Adopt latest python spec rules. - Rebuild for Python 2.6 once again.- Rebuild for Python 2.6- fix license tag- Adjust library order in opencv.pc.in (BZ 445937).- Autorebuild for GCC 4.3- Rebuild for gcc43.- Rebuild for selinux ppc32 issue.- Mass rebuild.- Fix %{_datadir}/opencv/samples ownership. - Adjust timestamp of cvconfig.h.in to avoid re-running autoheader.- Move all of the python module to pyexecdir (BZ 233128). - Activate the testsuite.- Upstream update.- Remove python-abi.- rebuilt for unwind info generation, broken in gcc-4.1.1-21- Stop configure.in from hacking CXXFLAGS. - Activate testsuite. - Let *-devel require pkgconfig.- Upstream update. - Don't BR: autotools. - Install samples' Makefile as GNUmakefile.- Un'%ghost *.pyo. - Separate %{pythondir} from %{pyexecdir}.- Rebuild for FC6. - BR: libtool.- Rebuild.- Force a re-run of Autotools by calling autoreconf.- Added build dependency on Autotools.- Changed intrinsics patch so that it matches upstream.- More intrinsics patch fixing.- Don't do "make check" because it doesn't run any tests anyway. - Back to main intrinsics patch.- Using simple intrinsincs patch.- Still more fixing of intrinsics patch for Python bindings on x86_64.- Again fixed intrinsics patch so that Python modules build on x86_64.- Fixed intrinsics patch so that it works.- Fixed Python bindings location on x86_64.- SSE2 support on x86_64.- Rebuild- Removed useless sample compilation makefiles/project files and replaced them with one that works on Fedora Core. - Removed shellbang from Python modules.- Made FFMPEG dependency optional (needs to be disabled for inclusion in FE).- Initial package.  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~3.4.6-7.el83.4.6-7.el83.4.6    !!!""###$$$$$$$$$$$%&&'''''((()************)+++,-----...///////000011112222222222222233333333333333333334444455556666666666666666666666666666666666666666666667opencvcv.hcv.hppcvaux.hcvaux.hppcvwimage.hcxcore.hcxcore.hppcxeigen.hppcxmisc.hhighgui.hml.hopencv2arucoaruco.hppcharuco.hppdictionary.hppbgsegm.hppbioinspiredbioinspired.hppbioinspired.hppretina.hppretinafasttonemapping.hpptransientareassegmentationmodule.hppcalib3dcalib3d.hppcalib3d.hppcalib3d_c.hccalibccalib.hppmulticalib.hppomnidir.hpprandpattern.hppcorecore.hppaffine.hppbase.hppbindings_utils.hppbufferpool.hppcheck.hppcore.hppcore_c.hcudacuda.hppcuda.inl.hppblock.hppborder_interpolate.hppcolor.hppcommon.hppdatamov_utils.hppdetailcolor_detail.hppreduce.hppreduce_key_val.hpptransform_detail.hpptype_traits_detail.hppvec_distance_detail.hppdynamic_smem.hppemulation.hppfilters.hppfuncattrib.hppfunctional.hpplimits.hppreduce.hppsaturate_cast.hppscan.hppsimd_functions.hpptransform.hpptype_traits.hpputility.hppvec_distance.hppvec_math.hppvec_traits.hppwarp.hppwarp_reduce.hppwarp_shuffle.hppcuda_stream_accessor.hppcuda_types.hppcv_cpu_dispatch.hcv_cpu_helper.hcvdef.hcvstd.hppcvstd.inl.hppdirectx.hppeigen.hppfast_math.hpphalhal.hppinterface.hintrin.hppintrin_avx.hppintrin_cpp.hppintrin_forward.hppintrin_neon.hppintrin_sse.hppintrin_sse_em.hppintrin_vsx.hppippasync.hppmat.hppmat.inl.hppmatx.hppneon_utils.hppocl.hppocl_genbase.hppopenclocl_defs.hppopencl_info.hppopencl_svm.hppruntimeautogeneratedopencl_clamdblas.hppopencl_clamdfft.hppopencl_core.hppopencl_core_wrappers.hppopencl_gl.hppopencl_gl_wrappers.hppopencl_clamdblas.hppopencl_clamdfft.hppopencl_core.hppopencl_core_wrappers.hppopencl_gl.hppopencl_gl_wrappers.hppopencl_svm_20.hppopencl_svm_definitions.hppopencl_svm_hsa_extension.hppopengl.hppoperations.hppoptim.hppovx.hpppersistence.hppptr.inl.hppsaturate.hppsoftfloat.hppsse_utils.hpptraits.hpptypes.hpptypes_c.hutility.hpputilsfilesystem.hpplogger.defines.hpplogger.hpptrace.hppva_intel.hppversion.hppvsx_utils.hppwimage.hppcore_detect.hppcvconfig.hcvvcvv.hppcall_meta_data.hppcvv.hppdebug_mode.hppdmatch.hppfilter.hppfinal_show.hppshow_image.hppdatasetsar_hmdb.hppar_sports.hppdataset.hppfr_adience.hppfr_lfw.hppgr_chalearn.hppgr_skig.hpphpe_humaneva.hpphpe_parse.hppir_affine.hppir_robot.hppis_bsds.hppis_weizmann.hppmsm_epfl.hppmsm_middlebury.hppor_imagenet.hppor_mnist.hppor_pascal.hppor_sun.hpppd_caltech.hpppd_inria.hppslam_kitti.hppslam_tumindoor.hpptr_chars.hpptr_icdar.hpptr_svt.hpptrack_alov.hpptrack_vot.hpputil.hppdnndnn.hppall_layers.hppdict.hppdnn.hppdnn.inl.hpplayer.details.hpplayer.hppshape_utils.hpputilsinference_engine.hppdpm.hppfaceface.hppbif.hppface_alignment.hppfacemark.hppfacemarkAAM.hppfacemarkLBF.hppfacemark_train.hppfacerec.hppmace.hpppredict_collector.hppfeatures2dfeatures2d.hppfeatures2d.hpphalinterface.hflannflann.hppall_indices.hallocator.hany.hautotuned_index.hcomposite_index.hconfig.hdefines.hdist.hdummy.hdynamic_bitset.hflann.hppflann_base.hppgeneral.hground_truth.hhdf5.hheap.hhierarchical_clustering_index.hindex_testing.hkdtree_index.hkdtree_single_index.hkmeans_index.hlinear_index.hlogger.hlsh_index.hlsh_table.hmatrix.hminiflann.hppnn_index.hobject_factory.hparams.hrandom.hresult_set.hsampling.hsaving.hsimplex_downhill.htimer.hfreetype.hppfuzzyfuzzy.hppfuzzy_F0_math.hppfuzzy_F1_math.hppfuzzy_image.hpptypes.hpphfs.hpphighguihighgui.hpphighgui.hpphighgui_c.himg_hashimg_hash.hppaverage_hash.hppblock_mean_hash.hppcolor_moment_hash.hppimg_hash_base.hppmarr_hildreth_hash.hppphash.hppradial_variance_hash.hppimgcodecsimgcodecs.hppimgcodecs.hppimgcodecs_c.hios.himgprocimgproc.hppdetaildistortion_model.hpphalhal.hppinterface.himgproc.hppimgproc_c.htypes_c.hline_descriptorline_descriptor.hppdescriptor.hppmlml.hppml.hppml.inl.hppobjdetectobjdetect.hppdetection_based_tracker.hppobjdetect.hppobjdetect_c.hopencv.hppopencv_modules.hppoptflowoptflow.hppmotempl.hpppcaflow.hppsparse_matching_gpc.hppphase_unwrappingphase_unwrapping.hpphistogramphaseunwrapping.hppphase_unwrapping.hppphotophoto.hppcuda.hppphoto.hppphoto_c.hplot.hppregmap.hppmapaffine.hppmapper.hppmappergradaffine.hppmappergradeuclid.hppmappergradproj.hppmappergradshift.hppmappergradsimilar.hppmapperpyramid.hppmapprojec.hppmapshift.hpprgbdrgbd.hpplinemod.hppsaliencysaliency.hppsaliencyBaseClasses.hppsaliencySpecializedClasses.hppshapeshape.hppemdL1.hpphist_cost.hppshape.hppshape_distance.hppshape_transformer.hppstereostereo.hppdescriptor.hppmatching.hppstereo.hppstitchingstitching.hppdetailautocalib.hppblenders.hppcamera.hppexposure_compensate.hppmatchers.hppmotion_estimators.hppseam_finders.hpptimelapsers.hpputil.hpputil_inl.hppwarpers.hppwarpers_inl.hppwarpers.hppstructured_lightstructured_light.hppgraycodepattern.hppsinusoidalpattern.hppstructured_light.hppsuperressuperres.hppoptical_flow.hppsurface_matchingsurface_matching.hppicp.hpppose_3d.hppppf_helpers.hppppf_match_3d.hppt_hash_int.hpptexttext.hpperfilter.hppocr.hpptextDetector.hpptrackingtracking.hppfeature.hppkalman_filters.hpponlineBoosting.hpponlineMIL.hpptldDataset.hpptracker.hpptracking.hppvideovideo.hppbackground_segm.hpptracking.hpptracking_c.hvideo.hppvideoiovideoio.hppcap_ios.hregistry.hppvideoio.hppvideoio_c.hvideostabvideostab.hppdeblurring.hppfast_marching.hppfast_marching_inl.hppframe_source.hppglobal_motion.hppinpainting.hpplog.hppmotion_core.hppmotion_stabilizing.hppoptical_flow.hppoutlier_rejection.hppring_buffer.hppstabilizer.hppwobble_suppression.hppximgprocximgproc.hppbrightedges.hppderiche_filter.hppdisparity_filter.hppedge_filter.hppedgeboxes.hppestimated_covariance.hppfast_hough_transform.hppfast_line_detector.hppfourier_descriptors.hpplsc.hpppaillou_filter.hpppeilin.hppridgefilter.hppseeds.hppsegmentation.hppslic.hppsparse_match_interpolator.hppstructured_edge_detection.hppweighted_median_filter.hppxobjdetect.hppxphotoxphoto.hppbm3d_image_denoising.hppdct_image_denoising.hppinpainting.hpptonemap.hppwhite_balance.hppOpenCVConfig-version.cmakeOpenCVConfig.cmakeOpenCVModules-releasewithdebinfo.cmakeOpenCVModules.cmakelibopencv_aruco.solibopencv_bgsegm.solibopencv_bioinspired.solibopencv_calib3d.solibopencv_ccalib.solibopencv_core.solibopencv_cvv.solibopencv_datasets.solibopencv_dnn.solibopencv_dnn_objdetect.solibopencv_dpm.solibopencv_face.solibopencv_features2d.solibopencv_flann.solibopencv_freetype.solibopencv_fuzzy.solibopencv_hfs.solibopencv_highgui.solibopencv_img_hash.solibopencv_imgcodecs.solibopencv_imgproc.solibopencv_line_descriptor.solibopencv_ml.solibopencv_objdetect.solibopencv_optflow.solibopencv_phase_unwrapping.solibopencv_photo.solibopencv_plot.solibopencv_reg.solibopencv_rgbd.solibopencv_saliency.solibopencv_shape.solibopencv_stereo.solibopencv_stitching.solibopencv_structured_light.solibopencv_superres.solibopencv_surface_matching.solibopencv_text.solibopencv_tracking.solibopencv_video.solibopencv_videoio.solibopencv_videostab.solibopencv_ximgproc.solibopencv_xobjdetect.solibopencv_xphoto.soopencv.pc/usr/include//usr/include/opencv//usr/include/opencv2//usr/include/opencv2/aruco//usr/include/opencv2/bioinspired//usr/include/opencv2/calib3d//usr/include/opencv2/ccalib//usr/include/opencv2/core//usr/include/opencv2/core/cuda//usr/include/opencv2/core/cuda/detail//usr/include/opencv2/core/hal//usr/include/opencv2/core/opencl//usr/include/opencv2/core/opencl/runtime//usr/include/opencv2/core/opencl/runtime/autogenerated//usr/include/opencv2/core/utils//usr/include/opencv2/cvv//usr/include/opencv2/datasets//usr/include/opencv2/dnn//usr/include/opencv2/dnn/utils//usr/include/opencv2/face//usr/include/opencv2/features2d//usr/include/opencv2/features2d/hal//usr/include/opencv2/flann//usr/include/opencv2/fuzzy//usr/include/opencv2/highgui//usr/include/opencv2/img_hash//usr/include/opencv2/imgcodecs//usr/include/opencv2/imgproc//usr/include/opencv2/imgproc/detail//usr/include/opencv2/imgproc/hal//usr/include/opencv2/line_descriptor//usr/include/opencv2/ml//usr/include/opencv2/objdetect//usr/include/opencv2/optflow//usr/include/opencv2/phase_unwrapping//usr/include/opencv2/photo//usr/include/opencv2/reg//usr/include/opencv2/rgbd//usr/include/opencv2/saliency//usr/include/opencv2/shape//usr/include/opencv2/stereo//usr/include/opencv2/stitching//usr/include/opencv2/stitching/detail//usr/include/opencv2/structured_light//usr/include/opencv2/superres//usr/include/opencv2/surface_matching//usr/include/opencv2/text//usr/include/opencv2/tracking//usr/include/opencv2/video//usr/include/opencv2/videoio//usr/include/opencv2/videostab//usr/include/opencv2/ximgproc//usr/include/opencv2/xphoto//usr/lib/cmake/OpenCV//usr/lib//usr/lib/pkgconfig/-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -m32 -march=x86-64 -mtune=generic -mfpmath=sse -mstackrealign -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wl,--as-neededcpioxz2i686-redhat-linux-gnu     directoryC source, ASCII textC++ source, UTF-8 Unicode textC++ source, ASCII textC++ source, ASCII text, with very long linesC++ source, UTF-8 Unicode text, with very long linesC source, ASCII text, with very long linesASCII textC source, UTF-8 Unicode textObjective-C source, ASCII textC++ source, UTF-8 Unicode (with BOM) textASCII text, with very long linespkgconfig file  !"#$%&'()*+,-./0PPRRRRRRRR R R R R RRRRRRRRRRRRRRRRRRR R!R"R#R$R%R&R'R(R)R*R+R,R-R.R/PRutf-843ef1515b1a5ec36510b002ac65eadf7399981ead7c539ab6ce28fb8751f3053?@7zXZ !#,"-] b2u jӫ`(y-;'c͢HFLݸ)&d˅#$JhD$[}ɵ$絡/6` O[X2epl`bRYht򱺗:k $EfyJT@09~$rL RqZ](u!1{3,+%ڌ&U`>5;;`p|̝->>$yU !73w3hhPz awSNu<*4]O3a}v*=0љykӇPiz0#m}Y(ni|؛E@_A3OZCQ q ! g `rh1,I"O"[@܊YSÒP+Ѹ3"]]\R0Z|}VgMtujQncﲵx}jdȺnS=Ak? ҇JL>i!dmd e*c&;0vğBr˻n Z J<wzdBZh19-KD3).ҿp]hL-⦩=|A XG^6z)L9&W*t8GD  LPf#zϋu;؈ #.( c`2H(([CtNA"WSqm*% |*IM ZĦUеRįٽda1(G%`>,c ,X%R58>0afAh =-sNRnx3 a]!4. F.B]\u)(LnEΩ.bEJpwLۑ53VVg$ EYo^(6]e@c<ׁqvHq}>FPsD?NR(30x%9?W~@0ї^CP9֭6 Zљ1S$=IˊidbẽEhjݝ&iIlYm(lyvj0a-P~dh% _C@QLj*=O0=rl6P|̈][։HZwgi4|wKW@;L^B:~LEĐYPDl,d͇mrRZzVQ}Y CEt Nz;!ӍBMc,m;࿌q'C5mAZ?̐[ݗ*7 jlӔ2 J.ɐ) liV]sjv+k/LIjỤhsZp0|6=lSJԱbHt&ctׁ 9sy֘d0k(]VW1̦DEAA%ưD#hTWH ˱l!M>.ᦳso6ܓ 8H_v׷rhMIG=ˆZ&mp,zRœ\$v{`0ʄ _;Dm.hTbBǒa] hLaꏴR*:^s`tH(_ : Z:k ."H(F>d|A^D,r7酤TUs oM<^*;#0?1CF|9ԄaKkZ隧zG`f0# vE<дKDIsϴS S(rtL;l{{Vy WYPMs/#Œ& /'?KJ ^u i[@bS´/cCZ0{f֍e9;]>ޭ"D?Ȯ84'L?p' lڽGo ByIWW7 vgsV9RgXW$d2yﳄB]3t gTy)r'PݎĒe;#]o#BUa<6,#)Es]a~LHߘSmT]q%FC|Z\dz7.|qiހ--M |񟋜zkU0J6 HbS WSAY 2[=ZA3B(mOg.Fr+7鼿q N:f)o|:!j?zPzu78_ߙ=wzyǠN<8ܣ9Ԍv%7M8"ԑ/^ܡ\9/(aV QfAkR8lK)\&|@@) Sd]Uȭ*CݗIM*6'@9PR [k`YuJ򊧭ʷJek6PfխY6H[Fs)Wn0=@rKuf>(Vx" ȱb™Kõt$eS| A>[zEܓL`-~dqaȰςZL u00nwYr=AwEJuL4z*{u0>I$g5(Υ+;Z 6Xq\?TƎׯ*#4\G&Vg IO/8'圸p\.&uq~q/?g# \íZj;g}sᇤ\Gy5z"Pޭ"+H>ŘNbGq[ēzG̩QA96M!{ZX'YΗ-i_*b\aQ; ֩vuKr:STX~o2Ɠ$[]^&]ido_[ q$´3 MpHv7< RؼR#GL# "ZM(T;?/}$SJF5 oR5 U䍨,kPzM Bx`rp\ < F smFVHn%jD;>-Xz"2GW +:ˠCiHzpE-bՌg:#E 䁳yUbP YrYe-ʳګ1\B># >;TG7ĄVO*onQr[փtڈ.H`>ӗQۇ rZ6!!X׈Hv (NJ(\l7 0Zz Hn2*%&-oHSx 7Aj?3X6?iQL7M`[DY#2( Ȏ2c4?KBѕ_kL,@7T3a[;Xj6O_Nc]9eݖ6|۷_rW*8 RIΥDrßqx5N+ilWm# UQ`82?Dwƃ ]N-" H3ytHsv*Zɂs'fn1R NL2psc۠@i'ĔTd+aQ7%!z=(pTdYo18q* 8rFP &K+.­jI _qf*DPu S>2vrҸB lA;QkگӉg~GQLI7sp] m0=dꙖ TdN`ݣ֐sK&V؄UU2^׎0&>$t[d9bl<8{ЍCr7}{/Ơ{ 'ϴ5~=_V?"0$@Sۊ!y8&ۈM$oN.  n߰{|C4SCeM˴p_Spc<*a6W[_@) $&eI,Ûb0Qimj ddlr*b–u*ә0_ {N+ϯWFbB84e2ZrWgu\q?kSȄCdX#(*AkMͣ(UZ|K{K &c` 6~@xx}W/t}.0U-?ރH∐}Jk<(lLG^<؃CNq5 mQ̃A[҅0}|Eݖ ~"m[z@ ,ͺ0#1 #dr/Q[|芥rZ{B͘v-iq=~gS*bydb(&Nw(0fm߽s% 9D#'5`ډPtA-b!q4Ooݻal;}8?bNԤq8& bkϿ>FW6-m { 5U)O:k 8x ң*\(bM5ZMkК!$QTͻ͝Ą=:]zk.;ȹ~ZU$b=| :VpI*?@=pdU 82b'dDC={^ߥ$PM~XZ1MD 0dDRp^A>;Z? M$d /}F܃[v^(1&%cO'mNK1OED>lc&g \ў+ini]5* 阷0HbO7$ג;hLH=y5q{챦BOLU &X+iϮ}ns ~eyX@8]{rqv*Qw⮁1\ ?~9Yٟ4P S #}@ּb#Th%V6C*q*"i!c1't_3- |p*р%nFw9Ճ[^jp7 M}I7khX:UZ!_ <(o?+Rd ݻ6N>N<8*Q1j l#PhlӟQ]/ȋC-tnFEP,c5VeX:NqִjWGy=OnF/r+z-8LV._tZ L }-T}|H*\.[J4zc[vJ< $fG1ju?5qm*8a~AiQXY~b4T_;Es 2E3";uK6wEOe+#y鷗.Q^;Fׁ {_v=90<R\t"r0N:y TB~`IӶ#l젰^E_ Xp%oP@ 5MNr Ʒ7ip)YMX60j3vOGA}w4`L'hq4ULȴB'we#6uMㅖ5uho 3[(Tgk=WszG\z=CNu fq&oDv|gt W`pPɀFg'DRyx[dRd ա7H|:,64)1< .b+sZCϣsAU1˟rgvIht#\jtZp祡A/"ϯq* puR_!kv0̦|PW ɱn(.  |8TvXr GL$(G!33%ٍ@Dqᳵ:%Q\5!5h $J9N<`wfa"d}44q.dJ[یⅅ<+Iٵ*h͕+YC<6|dOГQ>,T̛]YT _NK^t*' [a#]lbL=wc"ZeV!ղm>AnT U˜@d Cj@h(3HNSml[ˬT<%K7~1"GPU7e. ɴ_^h-ہ!6bփf~1 f!L[ʼnƆ9ٞ~px;U=5E,նe)xR[N)M"5u]cJtS܆R@,Jh #6n R3W,h N T4bWtYWqyKR}>zDj|~RdȆ#Vw pA(:/uBaX fn`!r ]`HtQlR`&E^6Wse _mdJg1bJT&oBl@ApJ2h6'?Q7ƶY4 Gz_k fق#XWmea0u-ֱQ@+XrFiὊjb״uS 3Ȇe7axصB?b ;{9)ٜ4]]+LF )9[?}QcI *LHSĸ;xmHG V,Tl}SKLZ5# iDC43A3=e=·E}Mvgͷ;5x;K ]CꂑF RWSa ]FfX[I H}zҥf|4m^{ lYXq.Ӗkk4wGsɞ.>"r!|QQ&+ |w-Yk40"htŰ$SÓ fIuV^չë{蓘^Z;RleHp3~CYk&1$"A"濵vG/nZ"{< Uf'6ԾPrYR/kk1xrd\17{o'&[Kbwfqmu3y gyO,1y?9l˷L_Xw(sMBэ` vo{_gU_05˃XƐo]C c^ۛ3]\rqt4W=IKut[ KYޗ޴MMY'[?clC#fn'- O }l,*qQخP^puZ^h# lNCxn`$YEvzZZ2S7fcnB:C<¯oex@cMO-ida};d}j\zW~Qj6 9f:An*Iƞs^pA8}? ]?n%V_ _^CowTL2+CƢ..u[P\G)sUm漚2:C__Ah. T=AO".3BAPp%4B LsqqF-P=ѷd$7XvlԦv̨^Xԙ O398MlvL5YadNΈ8|Yg:`zd+FG2ɷ_[}Rɝ*NeX |o[YiakG_QJ焻(i]x(<w4C nAv],} z1;[` 9q=˘ as8[?\>ez\3M:k!^OwuEo\ư;PD .gbP\*&4DхVtan&i{L ^ )2oÛ_F;+]j`-jzDݎ rҴ߀puFUjwrʠ߈Jkb`R"oR4DkUUY<, 2L&u?V6~Ư܁L}"g@k,&O=wK2=j1[DVaҪ۩zfZd(k `C۶Q\ܻ+uб{q(m6Uns ʚу$Мk}-QgQttUxfA6&E!N~.?̯|sݷsLgm݇{Y<" КT;FWfFfZ t(0/-O5g?u X7P&evބ^kU\т_e)#'aWRiU1d>#G7^-c1vkp)g^b$` g~YfjU䴗+~ =`Dp2- T႞=? G;;k241rRƖV\hVJ.4&&D @ˉt#G(K^!{S ^]3s5-iC3\Daud/iuЦd3j'7 q8sҤ ֓ߟ %duZ/kϋA⺫.QhY[X}mL<575Z@<#(=ˉ QG#M]ZoT VNL_g0m; -hˬ:Zr[!KѴ}7zy"ӌwwR[=>zM7)-7SJ>Jӣ~] ȞKMI-'Wya XCԝߓ$`̷q_9T6s;ZT /LLeGCzC[d(a,IA gR= 94 pͅ8m>5^9쟤?(.tWE1cP)ǜm_ڣ<nZK_keкw9ĞB?i}HMbnrA;DCf8 $|2*֔0$2 adt<}mNm;bZ#\SA F&XK׿&H*mYzVs r$_B7,HF3D->lntE_: J4Eۀ'X1Aq6.O2F[*1n%5r!%g>5<@|{dB&Qz ЎAo4kC) \Vb#Ye<<~Yhrv?qH(zuioO=1Zg٫x=n18;mtb;%ja,; 2ޜfSi?bPq"U -"/.'̜L`/ =+[pa 'nXBLRU(8Hh2eagz)=Us'gf&:.iS ,@auAFH !GχO!{5?Iݦl~k鯏XL+Uiݾ;U6 G(&۪CZ \i:z'm$n ǵ[ןĎa2jW5Q0Fn"R*)t`m}&yYn; MdUU q,Ca]aOr{&,u=h3^,2 XD֜B@* ]&1Q+)҃ ?SChd *}`vq!* ]_EH>~yHpsA҉$vs՞j8 0g*ide.B)X&Mj4;Фب[=xg9qW.8M+(׬Af9V ~z6闐G|VKEN zͿ(%q6+/_ aX7ײ`k@gnrӶQ۝acʊąm2Gí^lBsL=A1èAJ5-hqBDǻ]cdjKvcƙ؆rHqfǿε8o,YIy%8T :veq5cqį$VE^oc9rK* n JоLQ\x\`9^*#ڭ$(4M!鮅<阪|޴'aûL+Q4ȑ0¯:=QS?̷),-pYvCq$>^Xs q`v̀ſLcӌV?8/!'@"?@)LM8Mj&@lpjIBtPGXsj.k=VX:.(7UaՑ!a5\jL6) MRŨԅj*1 B69eFԈQP3yR|^9J҉Kd᫘b \R*i y f0};g_$3(3FJ%u:/ 9RA_d<>';Wu*+?@sFtU{O8-|=psY[PY[+h|iE'@魦\5FGQT`DVp,rrM)GӵU<5,lH9g-IJjDC 0*Hڻu.\J8*v:EևM@c'+ wS\Z7 j0P]t{nN"ЂZVBGG?0\'c?? r[CX?L3kcUȄ)b.Uo_qm*kjЇ<+6 j?0Mch+j>O]m"}cUIo|7chdxk% SwiLs/iF]p^2h^kHKPؤO'·x/!,4KFÉQv@QacQ踹7D]%ź*@-m LWW-ɮ6SWRwmŻ#G.fGUٷs ⛶ ;[ޏiLZN&%`q~Y~.ѮsMÂMZ0.D`}!ڧ4PX\9- f.儨z.1JpjO{ٜ2 OEc4xl D -Bl ߨ eôΪC~&HZ :x>~NNM*%xn$~y ڋEh߀^BMxR0訇[ʞ&w: e!0:`h #4y )t' "ynV|:BZ«a iOr+/`zP{5zⲑ=W^ [Y5|Kl:Cc%)Nl|=qcbIJv:7|k>wЛ{GrC2ՊS5y"κs:;r aB+\ BP3(I%@9%A-("{Y8! +O+v{hՑGi0fG\[Pj$Ces8h?>3([;N3D(\Lc>%7TS#R=_cnLKzؑkpMIMܒyW[:Y`7<6{!z`P qO MRO bX>:)\ a8}2Z0Xäs`opm [Qw6cv5ݸ;G&HF TqLE ȣBa ;(觅(K֋*&IG|ST>ݏ&BAu{O*9ˆ0?U2vPo"~>5?Af2" S3 q/MH.r?jۋQwvNqPZ̨cͤ-㺝vf5x&0;^JDǙ Ϳn:sfNhc=ˢr6(}NMc/ sՔ!Oa i7#owi}˰dr]`hH6]-#\ hjS]9wcqZu  W\_ˎso[laES#W7Hy6na$ >4zi=1zw=xiKNM ϯ3* 4#2"v(*/WiABuCA emIʼnͳ"Roǘ31in5@H#ru1ڀ ܒlH/~< $ٹQ%V*ƥD>+IP2%wg++{,eDE$=ߚm9#G3#i]e¼`̗),!Só7vRy+4 vv=>耙v,?O&lu304D=g`oN%8&D/a)f!?_Z¿9`k2 0\ i$nؕӎb4,K nq=+(0L[+e2֚_}Ts9ys)\fս86vf"=e)t$ _W]t3k?XXbV~*9hÿϮ|S *?{,{}wE&hژ $ܒL2()&X`qCr"װ[1U@:IڥeBJlOK}ᜈoCsqZ^} YB}ƈIcF?{clϯaq.Ti9QK2bJ.+Z%m5~ 1S_fƋ׿)1V'3Aq{fED}bV~2j3Mn_yVs3/%%A\+FV8>ecC{0?27M z{4D V!E^٣@sp6ރhdڗ⬤`Dk;I3^U =^uvvϘ=@4H<F4AVɯ=@mV^?Hl$_ܔH>L28LƤ/lj>SaJ5k$7wG_F9e`0hɸ/2ѭ4飕5@r:av(;dCM+56 i8>\ yp}?C7AWt OCU@@ˈS% R:N3uY!OcPOUǍ64~&;LP,we^聮/52&y`V@I.Jv@qW3.֣!h9hss$k-2jL_,d4z<X pOYRadzOĞJ#pxq$o۪PS[$۷ZMH继1?>c?h-MwykҞǁ|l`RM[^+i4dE+xʛi9BTJcݤ.ǽ&9epaw?AÏ)p6 cߊ]zR3>A{9K6gU/l}WJ ȆF:c>UQ,s nv "" =uo4AI [~tV`|A5r?qBY/SӅϓu|FFD\Y>k, ~m7 aMHY*p٭;F䋏ou~@P/Xjtɿ֑@}Tx?s%hK(qlϞ$Lr҆_F&uZ.6wt-?ޫ 0)M2Kv2B2^}ݘeJ" wϒ4*'@VEy<"!"\/V+7hm[ ]jԆSu؈9 cgvz982&o |,\"w8iQÎIh56}]|O w.,qϳa!:SQ~mܿMqtE K%uOY+# *c!CK[Z 2jv-MU^gnd*Քfc/vR:r3 j(ʑM2Cq*BQUS2ގ[j)#wP `r.| zaiOd j-TC1eT_@ƪ? %1GZI 7f,]8JBwWLw4^ >Xip$<!JJ.YLtfc\'G;X:'9~r0c4̊0 4z{>@١PR|KJDZV4Ro[TS@ &I X̕)M$|($U)D3ǥ=-'O<&rs+EuCHaG 29];W29_4y*c?dK]Z" Eu -k'w< pe< 'vicf%lsP;O8qwq_lBQ OK/auxEԀn4=IRm߽ğ^J/eSym[ S9Pg_ٕJ#jgIBd&.nʛZrʜ^3*3v{wf'Px>V*X+O:a>~0ܜ2baU\RzC\$G" .łԠT"7 BMknr0ͼȡ)O'(j>O뚗#$P'jO1+E>z~u`RR5K$WᙠV oԵ~PmYrEϕom~6юGKJ9Dq?kDc/8ڛj^-t\M -Ba[7cL1EPZ6.^z'Y*|d0؛SCyXk+}lK gPgtwĀ♡>ZQy:T9:AH]w&#%^zlaa>;FAޯX L\=D4ulWD]QP SpHҾ@1%8,-]2!mE^@Ku@spVsQ` eESڞ@R9Y n}cë”>0)4/HX. 43콁G'Tѣ^ǯ)b3<`]RIb|  ύ/ QnA~qח!KfY7dSN"soG۾2 @q7JfL' ϔ^(yHtn3IM>cowB$ ֯a: OqvqSNX-؛6m:>Ԣ^5@sx^VznI\k
dh3d&mޡLYZ#@<:F>+ZG&8n꾠''{ܱXr oIg_W VWػ[t ́ {xt#ygh}A\W[j@[5PbQٸ:};ܝao"{XY:V\sXV/^%|:md\+'m*pEgP83)>y.:e&B2]g\Juv~m$zW>OH?i2H 9[ڌs^ Ӗ;h7TD?WqVB(4hc5RKEx1W'zt2 ,NEAIf/_ ⻙Ud^dcnƹr"6f\>uʕA$:6`=t5DY iڊWr'r1Ьo< I!mm@J`ڕ<Xqqk㾒ha˵7h8qnf8wtTkZN%ti-%$g6帅[K70945^, teSǷʸAfE]|.JEqiMU`0T6&ݧga/]4/٨xpd4Q_zIgm9.X39YO'VIO`q/tހMx}#`)24Œ0㑿@ȭo=:'腕/Vg͇JBBFA_r')_[W;Ҡ^Rp`rU-,i~搏z (H]Ls**;nܫS@;EH&FcS$wv^֎/4ȳE"tٹs3hJcgnud L􃍐j uMi(msZV T>, l pv?8z3Ɉ, pV,H=rHݷWwF+9Yր#ŷ+Sh8;]+ )j!:MBry! G"dj$v-|R5@ ŵ{(dKg|4?%U*$:/̼OEGӁj.*26#|끢BB4urBGw֚Pk3CX1M{r("H+/-1lbV#d{򃄵V36E *gז5Z^!PBm"o!o߉>[$*C (j9/&2;cDWX)!#l^:>k?¯E+3Lz Qu r~-5lr 0?.&Cr-aP˕J}: z2yQӝxd1im-4(3$OnM jH!ᔁUSqOmzL'kWo p@=尥XB'% .>ew| vDEu[-j҉HriǶ[5")U'tmÈ|$YEh Sg0~b7.uÄW) `Cb1t7ǹ|[3exYh\N^봋Nc2l@?f> wRi $ Cb&3q'i㍍%8^s\_;2Ƙ_ Hj^"y(WWI@ZsMfsYHб}p(b5 n67խܨ55dSjxKjn8Hn?ܣ> >S6FIw_ TZ < ^Ҙxr[Kjm2N v֪$Odb>I Fֽw<GҐf2$@Vml-JQ3ﴞ?{HkgyLB?k#OեvۆA|("diD=3dcU0yߎYb<7nkKc7)oly%k/$I{Z0MvCw>-`$;uￔ|d`5n0tn/eNߐV"^F@n  p#4]E8Z"v<(Gc0H 9GWOF4 2F@f !S-íU9@ 2i[Ev3@óT_r( ToM ) j{ȧƻZǍ 0랩?4KG:IO4fM ޏ.[=^ M;P4#ooA:DA4p`#JLmVΡ`QD^YMyaͫi+ԞCoQs#D6b>pt,hՂEioT{?09 jK`nG׿FJ9!E~]>3@S?B"2b%r3]Me:YVYV^lVz/vI:a=gҴ>.'^džHiۖOs;ޞw>l Q!ә wiTҼ笍@$DE,u`#qFh19rLT]&Pf=}^,G^"drwpi=\ | ߆ZAWL4G\8͘0 >7[hۨՊG)bN3o:my4ʎ)cGyMϐ><ҏ vLj=&e8Xs#Ѧ_U:}2sܢ3(4\ʓgqϯ3TL>Dtc^A6PBKy@& Z:gҤ{ڿC MmxdwsۯI '>'0F,^ȃt@ `|{|K;NfeZ٦Ia;gRbk>G(v'ըMI>,\` Aj((*9!EVa>K$ū o|"aÙ${Bn ( ˽0*[J#AT s=@x5/7 K"s!(#wRޖ ЯuWJMآ2`I }7ვdxsd00[LsaXW,em=^3"FLQl`q܉j@Z3s7 ό5f@Ne%IҜ )y!! 4}N>3Wfbm&lQжtNH$z#d}4Aaw"gi<1Bøh0S 9 5{W,b߀l7I\()B~7 Uj c0b)rXW3Jͱ‹;O8>AAxEo|dkwý[*U;Ya_/^\tj1d;_a"n, "pܵ|cfFiƻiN.Sp#d(U79 =w(]&Zq\ T`H$4-Q.Z@~22煘5XQUw ҆E'Rt҅)t\XψFAk81m3O=s89/LxtCw]&_NMS BwqXyhBSpC8:@+Db M`g1/$V, \g{k3M])@Gc5ol GbZI b[Ld4%q6T;=Z5O]f;h' ~7*?} L$uN; Ug>;ԇ\h:g.=}d]4_l:F¼R^6yrEBz?tX ߰\Yzv{0'56=sF&=߀ M˲kRyBU.vU빀{<S[k7BӛsYd.Q_ɝJ Lj&yЋms+XmPAʣ PKƮh^WAC FJTQ>,zgEsS3;a R8QhY娙qO%AwX>ʲYOWZebtSJgp|9RIk`LZq”5@#eR=4jOń4Nk%_LHt.׫4"O5-8"9$d0JX=a=1] VS894iA5uho4E{. 8и拎)vW`G}Îؤ.l #h՚:ٳ8ɨ K)2K@580)P֝ ݕN O|FDhxps7FXFjC}a;r/-M0z̾ēsVU(5<<ȚKTe[(Y#n%Nepx2+&pA 31p:ѭ|(m]): Eo)1WĦ-IkΪU\݅\dvzǍ5#O{~8ֻP1 tz`FԈޡi6ȓ:ye~^.[PPkƸ>d}?IOn~xT)۰>N8}t. pmݺ H;4!౳~]%Q %7˗z T2m'1laa1ȳ;86(kj,5iN M!^8d5εwI4.ykAL~zΛ V/Rb!bRY˘$ϻJa1X( aRŃe\^r5`*`>~JpPqd}($0R |=J`Ӕ!"X߈Hoe<*@ԙ>vc8xboxT0kW`QvƷUvd7"{.)r$ξY?1Ż(Ũsִ> tYoZ/ű e{$ڥ>!y\8NG,9j46˨-aELRj#G;FfXƘ t<]}EM\InO5+>̼zG5~0{Ffjw%#YY*W^=MYkT%^=ڬMi'ľeT,O wm[iڲnfŵ@9wܕڤ`px=]p'kt_LS0}(wtTWqERr:7-Pdf"U>Ah~XJpHug+1prG2hyDR tk4kNj{q5G%8: 3lY2`sv244j )֯_+aVZA;̠z eHHFujD`8RC-!+ h:˪aXaY~F_M7v,'n$d%οU{t\m$4"֡YEJ)~}§#wkHk$k{P== a+ǙLK0gr@Tą4!Tg(',-_ *'Z ά9J`nVQC}3z|.Eۗ-/NK'ZqіJUU#1Wgia4B8wtWcثK4i=ɠhQevΝ!c`/@/p".$ŠU3ʝlu;%&(]:Oæz-AǮa ԁgY S PTaQmBNװ -3"Nx;G+밽4e17'5MRuBfMjځ3˩U<P̠^P#\aEGmFj2`އkYT e7ܣ +\"7Elz#}ZH cA$]D޽hC9SM^|/ι>[2$o H1~(qگGIR̀?W@ P'nfZg2Jnڼް"`NJ;% QW;%#n~4lIe410⿜,<~[<^2t?3h.'*Rd6dhjeR.Gtj nɔԋS!6 U#4ξ("RĆ^S ̓yKUT:Ld)$(r vQm(3]$8^\Q)1RwaT0&R%C Mu(0.Oس'-8EPv6y5 1mDy.9pǰ{ف(<^ͥY66(h^pGj((%6@.FnM0Wӡ+pj2;X-&TkЁb<g4܁z,n@eCCكP }FB͔sǬ^9eXfKa6RŏU:ګF/B0m=nȐEgqr~Dui_5grAD\ۛ;%J@JD|Očv`-4KAڅ(5Z(kqqT834NURQQv|%Y41ѣ1~hm_uѺ,L!h6.`,G4S5²e\"(erp"Ȟ˨ iV'Elw^yP!ݒHn-XSu(i8]~}-$umkfS}#s[s଀z$荸y(cB+]r` 0iU*9%|ӡyTtwhlw3O= ۴NXl/ i?>'Ţ>axPr L-j?L!ͳ<%B!Ve]UhiUX؟<sQ/>S)֡c oYtN裂[z"m]*mc κ7n} RjER7g^| npXY,h,.m بOZK_<@o>\Hk3\>;W9P!`W|<ufHo1|jx ?CŘlvA{')8TvAZ s^*bArEjðO8mcV*酶 {qe@MO.إ\V<8B9 щEX3s[LѴ>G'\%7>ڸ-:-ȸE `X Y0{ )CMz{j.=׍L8UmFYjMt㲁w!pcT]ǍNs.1Fx|/>L HaPKi(dHn#|YS8o!gKkH6G,apחהE㖽VW +J^SѭOToR?Y"ǜns\m?B[ݩwDfa/]Cn Sk*Vl4һʅ&ZYm/-z>4~/+zomI^'F%`ʡ(lwmZ Cyyk=DvDzMZ ʥIp߱}$(SM–N"'k+&uդ-9*bHHq&^Us x޵N$ȿη^VCqEjE6`Ї헺b g% SOhDӝ.Occ{3!?UVt~ʭcؐ x fK~cSfIu0=$-:D6hA'1 FIy1 ُAEplxBh/M<@y$c nha眢kD߀DUa-L-R aRT%ofh5ѵy<= ^Qp%tˬ%E3h;@yGmsy|353%JlͤX(tܰئ=V~,dsd:nȞ/5R6JKyPG埢'T|IZE89"Q aUޫI1xMqypa&I{3Ð(m6r<@ $\.!GO/|Z+p`<Le@ScW:+DNQ$$˔$?xMݥB ͥ,cZ~gDY@jnW.wzqK1!3W(Z}bAnd6Z8\R^5<ߡ_O'β~ lGs-q}k,se"]_] Pǥk% mr@g lz/MNz?Yrlo4g-CCz5,\PrH<{ZwF\j ֵo1 hv}^d'v;p'B u@_\V\Xqx?UVnʐ3?چX">@"-e @XEja~+.JrG6g΀|G{hW߀IlO1-jר͒2%HHqEVp< ,++C +jjKd_kӁ9Ysh'u>ݓ!2g'l-!ufRQ)cv'X8ƺ0&kg;zٳ$պb.mEXf@?iX0I\Yr@l;{.:5ft m'RQL &ȻPt^%jsH@j@-y:H#FҮ.A,]\/G7,㠺J\ӆF@|IE7ːwVhʙsL$͓=&B/ мk?&!e2$x&(k/_8W+~˓ t{ϹKeX H SsP%@qKxb1VFO\#ܪ_Q3{ɽ;H—\*: 5l7M Gr+t"{zZ9ӱ$V]Еu_ueP4 v%-䝰8 4u ^?\nOsto:>nB,)=L4/F?<2P0nw ?PP'g`v6p\Wy-DhpFQ'J?fVJyvy `όJ:Qӕ]tE I[m GGr[ A|a5j3u,(0mb# =XL5# ξ~G $r"Y:b8;x[(FUcIf) )ی m+R緎 _E|tKnkךI껇:(Xo:[]`cfHǺIw|ZfVDEG.P8:>a3lcի+dTm,_]@ tR4@1 }up~zZŀY v& $^-^u{LT{a}/1R ώX`Ks(ǨBe+Q!-X@/I'+m@à)T8Ծ;ț∭xőwKfѫ!ϼ/lw{}ݗ${9ţ^"]öꁺ 3/1ak򎬊z" 3,<0c, yekMG0s@:]:5C9!)d_Gt h0׌V  v\)坖xT G|Xk{TtnfET9.Ut@|+ ȟv{k'-`hLS`43Kk$Km꾏6i%|z 3)-Nk'dq[p䩧lZz,b+E^nTz lǻ`[? )PCj)MS q6䘼UFa=.ڐ#3K[C( nmM[dտ ƭx:u?d4L ΃RO%[|cU~$^mUպ_Y=nVDN"Q AU=!wF[ꏲ'|ӱ FT,m'EiH(wpU&r_9 o-+A*-ShKP5Z$vŕyCb#\i~*>Ȕ~.D1E~Ɂdjnq$݋rmO7n i z5$aqJ%u>6KWI x-J?;IۆCF0q&?bY `]}q 2: u;GY[#[FyuL/츒\M~mq3sxtNgJ*-!1,/h dR;tYMH3Ex8t ]<1,n ZKPZ)=jͣz0B}m4 {9ܬяnE:GNK ^' }u˓Њ\ ܚX@aaؔ,*c]ʸgbOi/pP{"UguqokxTjPJki{iר}adBOlO*\Vd|5#J%4ոt _g;I,ޮ^y˯nSt~v]NBҶ ?{BDhhځ% eenۥyg(߅]ڪY=N$;zGeAVkvIn哄fk@@|UyB@k9kbĥ(e\!: hxISf&axRo @0[A(۪9EMIbNAw-X:<&"Rv5R#NJ7.*WF ܾ5 7V$pLiM ,[v^{v =ԬmG}SNIARQS柾e3 845mw;R2kPs;Qyj$*z R4Ҫ} ٬P:e,UX[#!#wCtf n,ޒgU*U3ؤ]va=1qwZ2Łw[#[9w/9<YDo9^y9e[*8Ù/Џ#tb\҈f0$|YՃ?Wlsj;ycH@jt w te.r`*R?\)V*?mZ4Y{(v>G1]sW8rM |膲3!%{L*N]€w2rJ+32(\gADIY~f}FZ@f2;2Sfl= nٸdp0Z.<}1xehArhI Qr!$FfoU xKDˏӌZ?rn?%e*Qrh[vAf&WڪX bg3f":G(|*HQFiqRqSlZP ZX 9$?Q94t*)1B's EL5Pm0ئ-vU~K{d n4A%bEƚzI[qD3 ŀEsa%o,?l<K4e*j$/Ojxˊ΢_yWШ=m_27V] F]>8ۋ?='2xNhN4Ю ,O*Q ʰ^aK:0[y3~9X/r&+pQw ģ478wp5 dߏdJ%EX%I{0L֛ςZ*=A ]Ǫx"Èm=wi[p2!LMw"vKl)=㳤KZ߳eX>g}iS*"Y@;)֋QitgCp87͘> (EYLD̲+b:13hY+Gqו1O0ZRr ? ^ ֟;~%'wt𞋅N. C4V5x ~̱ytq)HwF8*~?@xTrxt J ulq;eus±U\Ef%kU8w?Ї ZХI&uE/TocЪ@ḽ΀C܎9oq픴dUUTSE@"fRnu`-MsՎ X^k=[+B'aztWkah5D.Y!]Q.[[F  驼!*aT1mUq=5ַƓ5# 㽲%vS,''Hsv*m;"1%1ﲘǑ>Ӥ `7C_ejBAݷ]b0& שTiS!mz#W:#].}oY>QI`fMԹ ^gIh#a~i1Pj}[N(dϺ'A[%_W5&aÔ~6${þ-ގzcAp5χ,/- `H R'xچXt3]A7*5]DNw'i|Pm/ѭf7]48q5Br6.%H~25~?Ãr篳 ><.@&AE50q;6>{X"jGo׽ؔ@SYe.&B{b(OF(\X>2H5 yB]%Xmt=4k ׺3?˿ߋ[&;XQ8ĉl9:ܗK'9"+p;1qnEL >n],6Ȯ?֓+Ƞ4lˡq% [ǥVMzI9:lcXT5_JTExL3}\SH.e*8uIOPYJdzc,#)f8v]¢(bHLㄬLљɎ΃}x]G;;yT H?^QlVvQGLstߜ*XƵ?} đ$Ih{Ac6q.=h:JmG6lGR*69lcA<'r ymVA%؉ DrJqVJyIA~Eb8 TgȨ]r+-=!V zoFx9VĿऊvߪʍ暗c1Upniڛczs_4[E|^L+[mD1bbTtL->M8l@ni1,jر)pO4]zQqcD0 iXю{aNj8KR<P8Ÿ`1͹..@GwN8B0<Mx(&jK}=U(kI;GI"E lId2+\gQ W>6:1#!SݣUSG!rxͲk8_dQ#HxVYibƔحF }p|vJ`Y4kNMw&aK +J .k>vڤ c"K)b]G IѻHhQV@_v~h+U'͈FacB_'ƻUsmKf - .a$[9"+c[/ z "xM‘oQHm9#w|d&]:dWGAIgaʞ^ )oIۯ190i*B/4lrû怹2Rj*<@F>9_lr%L /;o¤Q6`ڽ-Qy%6]5GH%{Gˀ ^LwKO%7oe0JBv 8Ƥlrs}(}Dt(sjb}L² 6"m]C\g}bw_nuE`O׍?6Յ(Wb`hE`Ĕ bZ}٠uYȠn@7v1ԠEw37H2c` `؈]~Vzuc/0`F UXzõb0,QL*|+7PHqd7|YUC0jˠH yFĩ:\3GwjM$ʦjzx}V)޲IYDeuzh`qP}ʉw g[g&0im`ji}#ޝJΰYs*RA QGDk y0Qxӓ}&tĹ>H }͹I +M hњ[/jĒ/ b@ dIm`\Q0!s*M|ʲ,Ibrr_RPMOE@ Ńi!S℥b',r1tňJGHl>R:RȎ 9EbQ$y&urw  r>$i`.ԯbeR+FB~2KWD sh<qEi(^-B`UOl 5 LYXX+Q7 yCztOQ;i o"aSu'.Wgʼ&ܭ?"Z:@u'8`}`WE9\gX6BkOf, 괉L<{XoCzqalviϲ`N#zx(kr1I{ *Bo$uJ+K[ $3J0D٫FY;8VFuHwv?;Y:0ztt!zumY-vO j6ڙ4yHƕR׀VߓM-媈qyDavjՓ׏7C2X7A4z %OegJG#qj־\8DL-&o{ahc^ETbALL[%RKQ41N!Owwꊒ0=e5ɚP9<9fJgk/]L+ Q Z͔[yd m':V$Xku IM >0@gϳ edDЌٮBPj uŴ=;N_aUAYK!%!C@א[~88Gz3ͪ=O6 nZqwژ3I4T9(иS.4iK P;#fHv+^5T$?D>ߵphf*w3@1҅V%$11G^58ЬU8a W (0rUTz RDjoږ 4*Zy7-#w̻"ƋXXMOEo4낺@3zyf5`СE2B*_jb8$u˚+ < 2rNNR?_MfͶ En1Bf;lmгpbA l>RN#*8C$r?-7Zi7]1tzɠEo2H1!}{ f8fw##kػ1O!egqLMN8){qڃqX ,OآA\dӷq/!P–{#gpxM},N;Ӱ:9xQs/rʒl-fO֐_R`MU<DQ% M^57Ss>"U](hS$1ܬKZyy)vjV-*Ijވ?U %4` :E:zI*xu"-_DzOLP0oک"v$w@`nꌐa>t[rjN3iBy%Y$wAS֏N|;(`09oLȰ}UFѲxƕq]RҤq ӈ)"AvZDFe(MלE^eү1N) E2[\A46f&ES԰8`+_{P5FͱS~ub KcA3e\rm‡cɱvv[83\MڑQD\ų^d+:rumkDfzq7816W\!BHc]PRFLkRLh³G+&/6R-eĢĔBmdfb˼}Ġؽ6NWFxOS0b_̠xqϭ_'%k %lBR)Q6jGl!f䆏[n{] ŽPQNK\cפ%%Fl=Za;^,Gt\Pӑc^Vc.]x[]Gae9e,gγPlٻGkW;߱8 ԾUmb)5p];!q 0vd何!O <Ef? f{dLvHrV_iqfToV\:`8WM8#f|VWR%ைob8I`Tfi^u#*ߡϖ uH`<=U^3SPy^$>d_Ȃ9QKgB8LCY>Z17`9 &Z\[[ɝR\SC%܆־x)Dv1AS!7tbIa>%/el-BU_?kU sVxat6= *M;5GDCHJg߃2t,KM'4 wQkwsIJc`9,Bc &W;"{a@2Nj*ZMF=°z(,^Fg ٲMs"B)kTs˘HinOlfD[y:E`æ4T} ɘ.7Fāltme^,d@)q;ϓlxW@ɩ|軘9 )F.%*QN $8k,")npIT)!x~:9|Bf bb yq雮l[/"qaN JލGz~v+wߦ[/ !Wlr%Mb@nFPqWv'm-v)O7Q՟ ~H[iEce#~!=7UD]I&ŵ꒽ń]m똟S93VÚ(`?g觛q1tjb*DC8:\".nA&X%՚GuPDm3mx=liDJXxce۟|FFטbA{O5{sxрurnOEk;A/p @!NG{F2"5"'RtE_yo!0:J{ 5MRgŏq&j"xC_0Y~#(H5'}aи9ierP}]kp)4݁Ya`+`0+j%Zn ;?zBT*ᵡpb}m.Ů`ۯn Őpdo1Xڠtpxaon6HB櫹6 y;Q!C R8y(U3 }t O܄.#GdžrIJSߤ E'w ^ɢxu"Q^Y%CBː滩YɰcFR Z8+rδyAXmtDqoOm68 +Ϣ@QCʆaQ}.SCNMy*1t3bj߫}W1J+&Ӷ;BN׳담7R$eT-oSF)r'i>0q$a肐q`/$?RpW Gד3 @Aeqq)bby"Y2Bָw d 27tx/u*Om%$جI;ziDwfR`Zĥ2y JHGZ*pmhICk/NMtר%}9NE¤3IkmEtZ_H"gj'ZHZny)z/RG|pwxzoio܇Q|}*9GɬImHK 藞x+M8-p cJSI .:p#O~[}J r!L*eox(=S5j\MY *pل۔2>`}b:?[ Є,l4`O6O ML'`>5/.zr|هo ] a jQٰ?=Ҏ׫O D=bh;Mʝ$1@$zavѨZ0&.@n<eU㌜!IqM]A- JV}"4A()#hbsF`) Z]_;UIyo|Hjl,%CB,sQ664zZDA~e8l 1(H5%EGiZΘeGjH e('?t&+v'vʬcߝ@[3qSݴ1WΠƐS{һEXۣF3o`Owj_w@#VtǴ1mۋȽa.PJ\%u|kE\,%u$"s3Qf 7#~ &Iwh'Lލ:h6Y XQF8m{$f ҁ<+ !"<9kRY;EdBhID`TWAP96m &ȑI::H˧ª8H6\c䤈\LM4Ӗ ;S=516x PAGVEQAw|RJXH2SYeiK}՜yR@=\ îj32nMŁs:rC16ڞNfz Z@66',w>,_|X䶊DX}]* ~m=uʹG*i:{#'l /u!??72wxGCCʣ !l|PVaNHBi8C2?u~kuԲ^H|SA>-xG'Ο7g>m]p1F6'Pa.Ne 3ףn{W!M< #ce7ѭrVK 3~\nI,@l":A^kMy:v7Q wqGq6^jH8&wTun] =# ׻( ثAJz ZN׃st2F^QPk4a)TTw6^Y1`γl`E<^qWDF#]g1CxҜca_`6Ml"u_gQ1躇]&)}*jrM2-hVֺoÁmev^Ab׻>ؗksdz#;5G\'ajh AAc8GY&Ly3m G@Q~YʯGD_\Y̧=4YV b7׵ށ:Q <;g}]2ʺoL^n+F9BuX 8tb,q V+i"烛Нz80 Dy!uUr'COjȻURՎ~rd #v{6e&j"'gԫPJvQ9 aYCUgO@o1Y((`锻+E9Hce8*q>8L' -:R0^Vy_> ce6c" BIvHPM(3&|,Mrn.s4ck?/.bUg՘M`>70"F[h4yt7+/ QnUWz/9]/U%[fUkyh~l\ {6m|z8oz N$o>8JLlTShbO& TY_:M>pϔñE֚C(m# %h\Hp9_,m.Oχv5h]M$39D|g8^1IAs{8VW/_F/ 6)W%qiLC `^Ļ%ey"3pgǙ)RکTX,< W4i e5Hyy`ڨ9 ]D3:#rWZTdj,&ԵvKmܥ*Dk[B̰G["YśOt /IP"Xbh@{ɔq#r-2w s }N4Y&Kq(+q8}3nT"|1Og5a,BZ5Y%Zʖu~CNr*K@HـoVli3 "纗kJt7OEyt 9=K#W{]ʏ6a~.ޕ'#IrϘЈ≮Sڐ^#N576D!V\ͧߞ{g_W_Ÿ Hw K+:bco?)4 쵂eA\?W $373;dsmD;Cms%QD4EHn0@.eH7F-ak9Z;cxQX/=h=a]eaBv|ca0d$X+ͯ7sZ{&ٲ7(aySІJKapPHtIN!A+gђc#cxQ(Z?F4W'/rS{x0>8fUuݶ/id/m2O{!bڡ6g5E@A9ࡣ!Fz/Yoؖ N{;hگG('GaQ嚷h q d,t[Ccߞ&!ɢyp| V[-lJT%!;'0<#J AOwg=y*<^;T8⊐FڶvuUsq6J)SņdjݺdWQ){xB?CqFfY~l_GRFrMȭgmEəf67GĆ;0tқyAy~ҽS8YD1U \}Akl &e+,y0Iزߍ[H 0ڬ~ߛ~3̄[7LTX# :g5o0+ p'#R :(V-qPF<ÔKx@*0 U_^}8ťX3GKtxW&}t^aL@ OK?y~ RRNu J>ӑ7Qc$= \xR!"^P΃^aeڏ![R / !X.]!ɞրUHƯEz)^l`:eU\TG02yj#.vD O`"c\GNIDqSEQ//+~cxLrv!0Sn;Vo-fף//i}楾|zFLh;`Jj 6wz ǵ5fŨܱiݔ3VޟP;HeqTwi|d,ٹIKXU/cIӰan: eݸ.d?sʸl]{I plZY*J'6'*oJnA=Mc c_?; )Aa@gf G6 OHS-~-y.ߗLV 64AqrZcST1sۭ묽1lkk=?@w O??Kr΅Lfhv`s qN!}' gsqRʣn[ 煰H*w4iMq2a)s eku)J·SAdNЄJ؃TfyvH;v^7 "ԽgEwhGQA1TN;1\IWt%p5jїpbk> Q[ob EK#e@W؆ ۢh} &pj>vY#y7u5xeN9"jĂmVldK1٥AȒ: a% v•y*BoB~0!'@ޣL/4dIP`ǚyպSߛWvhM!(x~ 0%5 M{k+[m쐤/h9HȴMKt0%az4v@ÌZ#D.zCJ *j@S8[>X{3c0˻L F,C$SBՓ)on~E=aVXʁ2e kYO}Ț!8Tii2LiL~rm_Fuȕ,sl|OFstCz8wǬ=@LS[蒄p@e~ZL_}I%:}M|#OAs :y@S[[k_$) * ?[Kei AM]oe!{$$(@ܣ%>V|aZI*)Iu-]K]G#oE"kafƊb+{4UW?zF45#}7ӝGS<:qnJFZY l4ο& ^U4JtMbT7rP^Kbѐ"xbBHVARu2Hyn" i 1]&ƟZj'5:{{Q%^3AL-LW}bǜ6`\_L $'gkR μY0$zNAuE0;hF~+ j8K'5Sv</xLa$vYf;w.)8¾FLJaq&#G'>ric1/$I j5݋KGϔ7;V(W tSsEr `O2݃!?*#ONHe"Ń&n< e%M}t4tB܈h ^%/pVeC"\Y. 9 ̌Ř*Xi`ؾ A_Z tl-k/p;9Wg:wD \͇k x/,Q0^_IC-tz k~Q-/`TMj+T) -GD8d[ 9%g[I$;=e )GJn]tiNcAqbo'? .*:JK/6-wF*>|dĔͧ R0"vzf<%fӑIcP%  y0esS+ݎT.& $u=گDs_1׶grOb116$҈);[( a=.'p;js #H Ch8LX79HZpY1{4nn3r x^3c{dG1SՆ5+$8Jpn^ _k]#lvtk㭱PؚUa颁|$zKl c2\m @u_؎Ձ%-C2)@&NLC?HB.^Tho~y!m) $>W[Y,rXa\@cŽ \A\)3$Fay"N '+EaK\lS@Dqj6@p\YD\N򕋰OlRrDB.yPZi:4wײ{M)SW8nQ cR%GBKk()K5<(`𠀆dL$mb2do@X.M!+ܟŚrL֛MfoU2NhZ;ȴ`8ò@b)/iGǠ;`K!\|9) 334YKZ?i 5Zpaܷ |! 1T/y qYme:b Nk\V|vs";@0 5U}6CqFIܺaK4YQ.. ф` ꌶjYs{I/~/z%yl@c Y()JSR;I-P{h. mtIi!0h/W/`W17xb-dJ5̡fCh#D|qp.quC#jPTjo8 c} wsG#&xr5Krbοj/ π ]HNڝ̲NeU<7l$>g iCxC eHVsg,pooT\{qU2<\/WF95G`6;)W-SWR틌dg%o_Ug1UMMV:GHb87PuYQ9[`r@M;R 4x/ %FsLXf%fh[D/s$Sְ샚Fz.a)&!e-ωQ%2ߖm~LQo5ܟRB8of" Hc! Ru((4Nc ݷ !x,`V\qԈkX꘶WQ: DV!F .POxJK\m9to0B$Z!~hxP-V3\K?,S)UN8PBC$|F㢒gzӈ`Wٿl0{z08vIM07e W^ .ؒ0fcB>ES2P5qV^67Uҟ^@r;̩R N3 !h|5VlqK,TK{D _d5-rg xu S ]Ϭa@NoXdo;b|Hnn-}_x̞.ӥ9x & b n{GPPh:[+&ܽw"NNXэNDA_kN֒  ԂHɤlX9/ 4} "nhSeM&. &~_gFny,ܓ`R[㌸a-޹`PRX܆8v`L@,Lߵ j u$Wul2~]>%;y^}f_ޚV {.mE2jC(:m8]J񩉝5Z_eN@8rQz_^/>Zc_ŇKvfhlëy(`,Q 1ߺR~QRZ++_@TߣY+&N'LN$d}rC͇=)f/"˄g^!_c$8qUW/NU#`)!+fHd<'"1K(&//5H8q./{gOcwAN^ˁ\LqWA䖪#-)R5hixwcwflrnyىMCYODX!=X&t}y`kͽmgMe/i6%(B[R["FFִA#dmZ*Qwi)MAGb'F,/#ߴT`UA:p/y gfc6E8jf\!Cs!:Y|}&2i2Xig)ͤKma{Z=4Q)DڡEY8EŨ |; 2>Keov)}Y. 'Dp ‚ n'ĄIT-WJL<:rWrG,R3|'3/j M/$AAE0/Ϩ)-\̪%D'2'nn\m뤒u*Cc0PWiD|* ʲBAʽ6'c†3 9W,,s骧pMՉ~= $D 7<,9uMYXmU7 J* QsdES@6S0E6XBD zڳʩwGyҶߕ34ؒ (" };4Z:)ܺ<$ଠ'?L&T[`ˣ lF- w$ zF*BJ>4&t|Nڨd-YJ>(n\\@B-B@i큌uA| VILA?GnDѥ NҀ$?R*o ile \YkACm(F{ 'VR_F> 5ԖmtH ]KkW GMcU!IM:N]ZP)ڹ8b̲S%te>f!5kֺ~u-i5{uAbO_k2bTEJ9d!w#B /S39܃IsPׂl SVAo(wVlB6:>Jױ ,2މgZ>aHqvMN+YXbwO Ƀ9i::ː#kF`*dv tuŎԆ#X9V{̙ڿB@-`y@i`dtHmmD4;|*gЦ{4y.'X:m5ֽړjUYzw2g>zhOO`@nA.R v-!Z~+XCT0INJkݕ\cY\ؕnSOA,=\^ֲL4)+<$ddI-3MWk1u\?6T珷4CY$ {6x(:'ɢ#m%d7Ű})xϯNh['VV&U'gfF?yA[vdaЭ 'xY}fqa-AT8ZIE6\ʛ!#RL+uF^;0h!D0fy_%B