{"id":181944,"date":"2026-06-08T02:48:45","date_gmt":"2026-06-08T00:48:46","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/opencv-5-0-0"},"modified":"2026-06-08T02:48:45","modified_gmt":"2026-06-08T00:48:46","slug":"opencv-5-0-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/opencv-5-0-0","title":{"rendered":"OpenCV 5.0.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" src=\"\/wp-content\/uploads\/2026\/06\/0827c35d7663a25a36859f66c23893bc.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p><noindex>      <noindex><\/p>\n<p>Byl zve\u0159ejn\u011bn <strong><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\">OpenCV 5.0.0<\/a><\/strong> \u2014 velk\u00e9 vyd\u00e1n\u00ed otev\u0159en\u00e9 knihovny po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed a zpracov\u00e1n\u00ed obrazu. Vyd\u00e1n\u00ed prob\u011bhlo <strong>6. \u010dervna 2026<\/strong> a je ji\u017e uvedeno jako aktu\u00e1ln\u00ed v repozit\u00e1\u0159i projektu na GitHubu. OpenCV je distribuov\u00e1no pod licenc\u00ed <strong>Apache-2.0<\/strong>.<\/p>\n<p><\/noindex><\/noindex><\/p>\n<p>Podstatou vyd\u00e1n\u00ed je p\u0159echod OpenCV od \"klasick\u00e9 knihovny po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed\" k modern\u011bj\u0161\u00ed platform\u011b pro CV\/AI \u00fakoly: projekt vy\u010distil star\u00e9 API, p\u0159epracoval modul neuronov\u00e9 s\u00edt\u011b, roz\u0161\u00ed\u0159il podporu ONNX, p\u0159idal z\u00e1klady pro sc\u00e9n\u00e1\u0159e VLM\/LLM a aktualizoval 3D\/kalibra\u010dn\u00ed stack. V\u00fdvoj\u00e1\u0159i popisuj\u00ed OpenCV 5.0 jako v\u011btev, kter\u00e1 je nyn\u00ed tak\u00e9 pova\u017eov\u00e1na za stabiln\u00ed, a nov\u00e1 funk\u010dnost se bude dost\u00e1vat p\u0159ev\u00e1\u017en\u011b tam.<\/p>\n<h3>Hlavn\u00ed zm\u011bny<\/h3>\n<ul>\n<li>\n<p><strong>Nov\u00fd engine DNN inference.<\/strong><br \/>\nV modulu dnn se objevil nov\u00fd engine, kter\u00fd koexistuje se star\u00fdm. L\u00e9pe pracuje s dynamick\u00fdmi formami tenzor\u016f, pods\u00edt\u00ed a modern\u00edmi funkcemi ONNX. Bylo uvedeno pokryt\u00ed v\u00edce ne\u017e <strong>80% specifikace ONNX<\/strong>, zat\u00edmco v OpenCV 4.x bylo pokryto m\u00e9n\u011b ne\u017e 23%.<br \/>\nTo je pravd\u011bpodobn\u011b hlavn\u00ed zm\u011bna vyd\u00e1n\u00ed: OpenCV se sna\u017e\u00ed st\u00e1t nejen obklopuj\u00edc\u00edm r\u00e1mcem kolem model\u016f, ale plnohodnotn\u00fdm vestav\u011bn\u00fdm enginem inference pro modern\u00ed neur\u00e1ln\u00ed s\u00edt\u011b.<\/p>\n<\/li>\n<li>\n<p><strong>V\u00fdb\u011br engine p\u0159i na\u010d\u00edt\u00e1n\u00ed modelu.<\/strong><br \/>\nV cv::dnn::readNet() a p\u0159\u00edbuzn\u00fdch funkc\u00edch byl zaveden parametr ENGINE_AUTO. Ve v\u00fdchoz\u00edm nastaven\u00ed se OpenCV nejprve pokus\u00ed o nov\u00fd engine, a pokud se mu to nepoda\u0159\u00ed, vr\u00e1t\u00ed se k klasick\u00e9mu. Chov\u00e1n\u00ed lze tak\u00e9 nastavit prost\u0159ednictv\u00edm prom\u011bnn\u00e9 prost\u0159ed\u00ed OPENCV_FORCE_DNN_ENGINE: pou\u017e\u00edt star\u00fd engine, nov\u00fd, automatick\u00fd re\u017eim nebo ONNX Runtime. Star\u00e9 projekty nemus\u00ed okam\u017eit\u011b p\u0159ech\u00e1zet na nov\u00fd engine, ale nov\u00e9 modely je mo\u017en\u00e9 na n\u011bj postupn\u011b p\u0159ev\u00e1d\u011bt.<\/p>\n<\/li>\n<li>\n<p><strong>Integrace s ONNX Runtime.<\/strong><br \/>\nOpenCV lze nyn\u00ed sestavit se zapnut\u00fdm ONNX Runtime. P\u0159itom OpenCV vyu\u017e\u00edv\u00e1 vlastn\u00edho ONNX parseru pro stavbu grafu ORT, proto nevy\u017eaduje pln\u00fd bal\u00edk ONNX. Pro sestaven\u00ed jsou p\u0159edem stanoveny parametry CMake -DWITH_ONNXRUNTIME=ON a -DDOWNLOAD_ONNXRUNTIME=ON; pro NVIDIA GPU \u2014 -DDOWNLOAD_ONNXRUNTIME_GPU=ON. Funkce bude u\u017eite\u010dn\u00e1 t\u011bm, kdo pot\u0159ebuj\u00ed GPU inference ji\u017e te\u010f, proto\u017ee nov\u00fd DNN engine OpenCV prozat\u00edm funguje pouze na CPU.<\/p>\n<\/li>\n<li>\n<p><strong>Podpora model\u016f vision-language.<\/strong><br \/>\nNov\u00fd DNN engine zahrnuje tokeniz\u00e9ry, vrstvy pozornosti, dek\u00f3dovac\u00ed bloky, postprocessing a KV cache pot\u0159ebn\u00e9 pro spu\u0161t\u011bn\u00ed VLM model\u016f \u201ez krabice\u201c. Knihovna byla historicky spojena s zpracov\u00e1n\u00edm obr\u00e1zk\u016f a nyn\u00ed se posouv\u00e1 do oblasti model\u016f, kter\u00e9 pracuj\u00ed sou\u010dasn\u011b s obr\u00e1zkem a textem.<\/p>\n<\/li>\n<li>\n<p><strong>Podpora GPU nov\u00e9ho DNN enginu zat\u00edm nen\u00ed p\u0159ipravena.<\/strong><br \/>\nNov\u00fd engine v OpenCV 5.0 funguje pouze na CPU. Nativn\u00ed podpora GPU bude p\u0159id\u00e1na v n\u00e1sleduj\u00edc\u00edch verz\u00edch; zat\u00edm je pro GPU doporu\u010deno pou\u017e\u00edvat klasick\u00fd engine nebo sestaven\u00ed s ONNX Runtime a NVIDIA execution providers. Pro serverov\u00e9 nebo desktopov\u00e9 CUDA inferencing OpenCV 5.0 samo o sob\u011b je\u0161t\u011b nenahrazuje specializovan\u00e9 runtime.<\/p>\n<\/li>\n<li>\n<p><strong>Byly odstran\u011bny star\u00e9 parsery Darknet a Caffe.<\/strong><br \/>\nV\u00fdvoj\u00e1\u0159i odstranili parsery Darknet a Caffe, proto\u017ee v\u011bt\u0161ina model\u016f byla ji\u017e p\u0159evedena do ONNX. TFLite zat\u00edm z\u016fst\u00e1v\u00e1 p\u0159es klasick\u00fd engine, ale p\u0159evod na nov\u00fd engine je napl\u00e1nov\u00e1n pozd\u011bji. OpenCV se vzd\u00e1v\u00e1 star\u00fdch form\u00e1t\u016f a zam\u011b\u0159uje se na ONNX jako hlavn\u00ed v\u00fdm\u011bnn\u00fd form\u00e1t model\u016f.<\/p>\n<\/li>\n<li>\n<p><strong>Velk\u00e9 vy\u010di\u0161t\u011bn\u00ed zastaral\u00e9ho API.<\/strong><br \/>\nOdstran\u011bno je C API OpenCV 1.x: funkce jako cvCreateMat() a star\u00e9 struktury jako CvMat ji\u017e nejsou sou\u010d\u00e1st\u00ed hlavn\u00edho API. Tak\u00e9 byla odstran\u011bna podpora OpenVX, modul G-API byl p\u0159esunut do opencv_contrib, kam byl p\u0159enesen i klasick\u00fd ML modul. Z\u00e1va\u017en\u00e1 zm\u011bna pro star\u00e9 projekty, ale dlouho se o\u010dek\u00e1vala: knihovna se zbavuje technick\u00e9ho dluhu, kter\u00fd se nahromadil za desetilet\u00ed.<\/p>\n<\/li>\n<li>\n<p><strong>Features2D byl p\u0159ejmenov\u00e1n na Features.<\/strong><br \/>\nModul byl roz\u0161\u00ed\u0159en pro modern\u00ed vektory p\u0159\u00edznak\u016f z neuronov\u00fdch s\u00edt\u00ed. V hlavn\u00edm repozit\u00e1\u0159i z\u016fstaly SIFT, ORB, FAST, GoodFeaturesToTrack a MSER, star\u0161\u00ed detektory a popisova\u010de byly p\u0159esunuty do opencv_contrib. P\u0159id\u00e1ny byly ALIKED, DISK a p\u0159i\u0159azova\u010d LightGlue. OpenCV se jasn\u011b p\u0159izp\u016fsobuje modern\u00edm pipeline, kde jsou vlastnosti obr\u00e1zk\u016f \u010d\u00edm d\u00e1l \u010dast\u011bji extrahov\u00e1ny nikoli klasick\u00fdmi algoritmy, ale neuronov\u00fdmi s\u00edt\u011bmi.<\/p>\n<\/li>\n<li>\n<p><strong>Nov\u00e9 datov\u00e9 typy v Core.<\/strong><br \/>\nByly p\u0159id\u00e1ny CV_16BF \/ cv::bfloat, CV_32U, CV_64U, CV_64S a CV_Bool. Tak\u00e9 byla vylep\u0161ena podpora N-dimenzion\u00e1ln\u00edch pol\u00ed, 1D pol\u00ed a 0D skalar\u016f. LAPACK je nyn\u00ed v\u017edy dostupn\u00fd: pokud nen\u00ed extern\u00ed knihovna, OpenCV sestavuje vestav\u011bn\u00e9 minim\u00e1ln\u00ed podmno\u017einy. Zm\u011bny jsou d\u016fle\u017eit\u00e9 pro DNN, numerick\u00e9 algoritmy a kompatibilitu s modern\u00edmi datov\u00fdmi form\u00e1ty, kde se bfloat16 a roz\u0161\u00ed\u0159en\u00e9 typy vyskytuj\u00ed st\u00e1le \u010dast\u011bji.<\/p>\n<\/li>\n<li>\n<p><strong>Zpracov\u00e1n\u00ed obr\u00e1zk\u016f bylo zrychleno.<\/strong><br \/>\nV imgproc byly p\u0159epracov\u00e1ny funkce warpAffine, warpPerspective a remap. Zlep\u0161en\u00ed v\u00fdkonu se pohybuj\u00ed od 10 % do v\u00edce ne\u017e 300 % v z\u00e1vislosti na platform\u011b, velikosti obr\u00e1zku, typu dat a opera\u010dn\u00edch flag\u016f.<br \/>\nU\u017e se to net\u00fdk\u00e1 jen AI-modulu \u2014 takov\u00e1 optimalizace je p\u0159\u00edmo d\u016fle\u017eit\u00e1 pro klasick\u00e9 \u00fakoly: videostreamy, stabilizaci, projek\u010dn\u00ed transformace a p\u0159\u00edpravu dat p\u0159ed inferenc\u00ed.<\/p>\n<\/li>\n<li>\n<p><strong>Byl vylep\u0161en v\u00fdstup textu.<\/strong><br \/>\nStar\u00fd mechanismus renderov\u00e1n\u00ed textu byl nahrazen STB-zalo\u017een\u00fdm TrueType engine s vestav\u011bn\u00fdm variabiln\u00edm p\u00edsmem Rubik. Je mo\u017en\u00e9 p\u0159ipojovat u\u017eivatelsk\u00e9 fonty a byla zaji\u0161t\u011bna \u0161irok\u00e1 podpora Unicode. Nicm\u00e9n\u011b slo\u017eit\u00e9 p\u00edsma jako arabsk\u00e9 a devangari se st\u00e1le zobrazuj\u00ed nespr\u00e1vn\u011b bez Harfbuzzu a barevn\u00e9 emoji nejsou podporov\u00e1ny. OpenCV se st\u00e1v\u00e1 snadn\u011bj\u0161\u00edm pro generov\u00e1n\u00ed anotac\u00ed, ladic\u00edch obr\u00e1zk\u016f a vizualizac\u00ed bez extern\u00edch knihoven.<\/p>\n<\/li>\n<li>\n<p><strong>Byly aktualizov\u00e1ny 3D a kalibrace kamer.<\/strong><br \/>\ncalib3d byl rozd\u011blen na geometry, calib, stereo a ptcloud. USAC se stal standardn\u00edm backendem pro robustn\u00ed odhad homografie, essential\/fundamental matrix, PnP a dal\u0161\u00ed \u00fakoly. Byla p\u0159id\u00e1na pipeline pro v\u00edcerozm\u011brnou kalibraci, po\u010d\u00e1te\u010dn\u00ed podpora zpracov\u00e1n\u00ed m\u0159\u00ed\u017eek a bodov\u00fdch oblak\u016f, v\u010detn\u011b TSDF, ICP, importu a exportu .ply a .obj. To je d\u016fle\u017eit\u00fd krok pro robotiku, SLAM, AR\/VR a v\u00edcerozm\u011brn\u00e9 syst\u00e9my, kde u\u017e jedna 2D-\u00faprava nesta\u010d\u00ed.<\/p>\n<\/li>\n<li>\n<p><strong>P\u0159\u00edklady a dokumentace byly p\u0159epracov\u00e1ny.<\/strong><br \/>\nZastaral\u00e9 p\u0159\u00edklady byly odstran\u011bny, zb\u00fdvaj\u00edc\u00ed byly aktualizov\u00e1ny. Pro DNN-p\u0159\u00edklady se pou\u017e\u00edv\u00e1 spole\u010dn\u00e1 sb\u00edrka model\u016f, kterou lze st\u00e1hnout pomoc\u00ed skriptu download_models.py. P\u0159id\u00e1ny experiment\u00e1ln\u00ed p\u0159\u00edklady pro VLM a LDM, a dokumentace dostala modern\u00ed vzhled, rychl\u00e9 vyhled\u00e1v\u00e1n\u00ed, sv\u011btl\u00fd\/temn\u00fd re\u017eim a vylep\u0161enou navigaci. Pro tak velkou knihovnu se nejedn\u00e1 o kosmetickou zm\u011bnu: \u0159\u00e1dn\u00e1 dokumentace a funk\u010dn\u00ed p\u0159\u00edklady p\u0159\u00edmo ovliv\u0148uj\u00ed to, zda mohou v\u00fdvoj\u00e1\u0159i skute\u010dn\u011b p\u0159ej\u00edt na OpenCV 5.x.<\/p>\n<\/li>\n<\/ul>\n<p>V\u00fdsledkem je, \u017ee OpenCV 5.0 nen\u00ed jen dal\u0161\u00ed vyd\u00e1n\u00ed s optimalizacemi, ale v\u00fdznamn\u00e1 aktualizace cel\u00e9ho sistema: m\u00e9n\u011b d\u011bdictv\u00ed z \u00e9ry OpenCV 1.x a v\u00edce zam\u011b\u0159en\u00ed na ONNX, neuronov\u00e9 inferenci, modern\u00ed funkce, 3D-zpracov\u00e1n\u00ed a heterogenn\u00ed zrychlen\u00ed. P\u0159itom p\u0159echod pro star\u00e9 projekty m\u016f\u017ee vy\u017eadovat \u00fapravy kv\u016fli odstran\u011bn\u00ed C API a p\u0159esunu \u010d\u00e1sti modul\u016f do opencv_contrib.<\/p>\n<p>Zdroj: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/news\/development\/18313193\">linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d OpenCV 5.0.0 \u2014 \u043a\u0440\u0443\u043f\u043d\u044b\u0439 \u0432\u044b\u043f\u0443\u0441\u043a \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u0420\u0435\u043b\u0438\u0437 \u0441\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f 6 \u0438\u044e\u043d\u044f 2026 \u0433\u043e\u0434\u0430 \u0438 \u0443\u0436\u0435 \u043e\u0442\u043c\u0435\u0447\u0435\u043d \u043a\u0430\u043a \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u0432 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0438 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u043d\u0430 GitHub. OpenCV \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache-2.0. \u0421\u0443\u0442\u044c \u0440\u0435\u043b\u0438\u0437\u0430 \u2014 \u043f\u0435\u0440\u0435\u0445\u043e\u0434 OpenCV \u043e\u0442 \u00ab\u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f\u00bb \u043a \u0431\u043e\u043b\u0435\u0435 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 \u0434\u043b\u044f CV\/AI-\u0437\u0430\u0434\u0430\u0447: \u043f\u0440\u043e\u0435\u043a\u0442 \u0432\u044b\u0447\u0438\u0441\u0442\u0438\u043b \u0441\u0442\u0430\u0440\u043e\u0435 API, \u043f\u0435\u0440\u0435\u0440\u0430\u0431\u043e\u0442\u0430\u043b [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":181945,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-181944","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Erik Peterson\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/cs\/blog\/news\/opencv-5-0-0\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.3\" \/>\n\t\t<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47OpenCV 5.0.0 | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/cs\/blog\/news\/opencv-5-0-0\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2026-06-08T00:48:46+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-06-08T00:48:46+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47OpenCV 5.0.0 | ProHoster","description":"Byl zve\u0159ejn\u011bn","canonical_url":"https:\/\/prohoster.info\/cs\/blog\/news\/opencv-5-0-0","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"cs_CZ","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47OpenCV 5.0.0 | ProHoster","og:description":"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d","og:url":"https:\/\/prohoster.info\/cs\/blog\/news\/opencv-5-0-0","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2026-06-08T00:48:46+00:00","article:modified_time":"2026-06-08T00:48:46+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":[],"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/posts\/181944","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/comments?post=181944"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/posts\/181944\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/media\/181945"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/media?parent=181944"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/categories?post=181944"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/cs\/wp-json\/wp\/v2\/tags?post=181944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}