{"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\/sq\/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>Publikuar <strong><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\">OpenCV 5.0.0<\/a><\/strong> \u2014 nj\u00eb publikim i madh i bibliotek\u00ebs s\u00eb hapur p\u00ebr vizionin kompjuterik dhe p\u00ebrpunimin e imazheve. L\u00ebshimi u realizua <strong>m\u00eb 6 qershor 2026<\/strong> dhe tashm\u00eb \u00ebsht\u00eb i njohur si aktual n\u00eb depozitat e projektit n\u00eb GitHub. OpenCV shp\u00ebrndahet n\u00ebn licenc\u00ebn <strong>Apache-2.0<\/strong>.<\/p>\n<p><\/noindex><\/noindex><\/p>\n<p>Q\u00ebllimi i l\u00ebshimit \u00ebsht\u00eb kalimi i OpenCV nga \u00abbiblioteka tradicionale e vizionit kompjuterik\u00bb n\u00eb nj\u00eb platform\u00eb moderne p\u00ebr detyrat CV\/AI: projekti ka pastruar API-n\u00eb e vjet\u00ebr, ka rregulluar modulin e inferenc\u00ebs me rrjetin nervor, ka zgjeruar mb\u00ebshtetje p\u00ebr ONNX, ka shtuar bazat p\u00ebr skenar\u00ebt VLM\/LLM dhe ka p\u00ebrdit\u00ebsuar stek 3D\/kalibrimi. Zhvilluesit e p\u00ebrshkruajn\u00eb OpenCV 5.0 si nj\u00eb deg\u00eb, e cila tani gjithashtu konsiderohet stabile, dhe funksionaliteti i ri do t\u00eb p\u00ebrfshihet kryesisht atje.<\/p>\n<h3>Ndryshimet kryesore<\/h3>\n<ul>\n<li>\n<p><strong>Nj\u00eb motor i ri p\u00ebr inferenc\u00ebn DNN.<\/strong><br \/>\nN\u00eb modul dnn ka nj\u00eb motor t\u00eb ri, i cili bashk\u00eb-kalon me t\u00eb vjetrin. Ai punon m\u00eb mir\u00eb me forma dinamike tensor\u00ebsh, n\u00ebngrafik\u00eb dhe mund\u00ebsi moderne ONNX. \u00cbsht\u00eb shpallur nj\u00eb mbulim m\u00eb shum\u00eb se <strong>80% e specifikimit t\u00eb ONNX<\/strong>, nd\u00ebrsa n\u00eb OpenCV 4.x mbulimi ishte m\u00eb pak se 23%.<br \/>\nKjo \u00ebsht\u00eb ndoshta ndryshimi kryesor i l\u00ebshimit: OpenCV p\u00ebrpiqet t\u00eb b\u00ebhet jo vet\u00ebm nj\u00eb mbules\u00eb p\u00ebrmodelet, por nj\u00eb motor i plot\u00eb p\u00ebr inferenc\u00ebn p\u00ebr rrjetet nervore moderne.<\/p>\n<\/li>\n<li>\n<p><strong>Zgjedhja e motorit gjat\u00eb ngarkimit t\u00eb modelit.<\/strong><br \/>\nN\u00eb cv::dnn::readNet() dhe funksionet e lidhura \u00ebsht\u00eb shtuar nj\u00eb parametr ENGINE_AUTO. N\u00eb m\u00ebnyr\u00eb standarde, OpenCV fillimisht provon motorin e ri dhe n\u00eb rast deshtimi kthehet n\u00eb at\u00eb tradicional. Comportamenti gjithashtu mund t\u00eb p\u00ebrcaktohet p\u00ebrmes ndryshores s\u00eb mjedisit OPENCV_FORCE_DNN_ENGINE: p\u00ebrdorimi i motorit t\u00eb vjet\u00ebr, t\u00eb ri, n\u00eb modalitet automatik ose ONNX Runtime. Projektet e vjetra nuk duhen kaloi menj\u00ebher\u00eb plot\u00ebsisht n\u00eb motorin e ri, por modelet e reja mund t\u00eb kalohen gradualisht n\u00eb t\u00eb.<\/p>\n<\/li>\n<li>\n<p><strong>Integrimi me ONNX Runtime.<\/strong><br \/>\nTani OpenCV mund t\u00eb nd\u00ebrtohet me ONNX Runtime t\u00eb lidhur. N\u00eb k\u00ebt\u00eb rast, OpenCV p\u00ebrdor parser-in e vet ONNX p\u00ebr nd\u00ebrtimin e grafikut ORT, prandaj nuk k\u00ebrkon paket\u00ebn e plot\u00eb ONNX. P\u00ebr nd\u00ebrtimin e saj jan\u00eb parashikuar parametrat CMake -DWITH_ONNXRUNTIME=ON dhe -DDOWNLOAD_ONNXRUNTIME=ON; p\u00ebr NVIDIA GPU \u2014 -DDOWNLOAD_ONNXRUNTIME_GPU=ON. Funksioni do t\u00eb jet\u00eb i dobish\u00ebm p\u00ebr ata q\u00eb kan\u00eb nevoj\u00eb p\u00ebr inferenc\u00eb GPU tani, sepse motorri i ri DNN i OpenCV ende funksionon vet\u00ebm n\u00eb CPU.<\/p>\n<\/li>\n<li>\n<p><strong>Mb\u00ebshtetje p\u00ebr modelet e vizionit-gjuh\u00ebs.<\/strong><br \/>\nMotori i ri DNN p\u00ebrfshin tokenizues, nivele v\u00ebmendjeje, blloqe dekodimi, pastrimin pas procesit dhe KV-cache, t\u00eb nevojshme p\u00ebr t\u00eb funksionuar modelet VLM \"nga kutia\". Biblioteka historikisht \u00ebsht\u00eb asociuar me p\u00ebrpunimin e imazheve, dhe tani futet n\u00eb fush\u00ebn e modeleve q\u00eb funksionojn\u00eb nj\u00ebkoh\u00ebsisht me imazhe dhe tekst.<\/p>\n<\/li>\n<li>\n<p><strong>Mb\u00ebshtetja GPU e motorit t\u00eb ri DNN ende nuk \u00ebsht\u00eb gati.<\/strong><br \/>\nMotori i ri n\u00eb OpenCV 5.0 punon vet\u00ebm me CPU. Mb\u00ebshtetje native p\u00ebr GPU premtohet t\u00eb shtohet n\u00eb versionet e ardhshme; p\u00ebr momentin, rekomandohet t\u00eb p\u00ebrdoret motori klasik ose nd\u00ebrtimi me ONNX Runtime dhe ofruesit e ekzekutimit NVIDIA p\u00ebr inferenc\u00ebn CUDA n\u00eb server ose desktop. OpenCV 5.0 vet\u00eb nuk e z\u00ebvend\u00ebson ende runtime-t e specializuara.<\/p>\n<\/li>\n<li>\n<p><strong>Parsers e vjetra Darknet dhe Caffe jan\u00eb hequr.<\/strong><br \/>\nZhvilluesit kan\u00eb hequr parsers e Darknet dhe Caffe, pasi shumica e modeleve tashm\u00eb jan\u00eb trasferuar n\u00eb ONNX. TFLite ende mbetet p\u00ebrmes motorit klasik, nd\u00ebrsa transferimi n\u00eb motorin e ri \u00ebsht\u00eb planifikuar p\u00ebr m\u00eb von\u00eb. OpenCV po refuzon formatet e vjetra dhe fokusohet te ONNX si formati kryesor p\u00ebr shk\u00ebmbimin e modeleve.<\/p>\n<\/li>\n<li>\n<p><strong>Nj\u00eb pastrim i madh i API-ve t\u00eb vjetra.<\/strong><br \/>\nC API i OpenCV 1.x \u00ebsht\u00eb hequr: funksione si cvCreateMat() dhe struktura t\u00eb vjetra si CvMat nuk jan\u00eb m\u00eb pjes\u00eb e API-t kryesor. Po ashtu, mb\u00ebshtetje p\u00ebr OpenVX \u00ebsht\u00eb hequr, moduli G-API \u00ebsht\u00eb transferuar n\u00eb opencv_contrib, ashtu si edhe moduli klasik ML. Nj\u00eb ndryshim i shkall\u00ebzuar p\u00ebr projektet e vjetra, por k\u00ebt\u00eb e kishte t\u00eb nevojshme: biblioteka po ndjehet e liruar nga borxhi teknik q\u00eb \u00ebsht\u00eb akumuluar p\u00ebr dekada.<\/p>\n<\/li>\n<li>\n<p><strong>Features2D \u00ebsht\u00eb riem\u00ebrtuar n\u00eb Features.<\/strong><br \/>\nModuli \u00ebsht\u00eb zgjeruar p\u00ebr vektor\u00ebt e tanish\u00ebm t\u00eb karakteristikave nga rrjetet neuronale. N\u00eb depozit\u00ebn kryesore jan\u00eb l\u00ebn\u00eb SIFT, ORB, FAST, GoodFeaturesToTrack dhe MSER, nd\u00ebrsa detektuesit dhe p\u00ebrshkruesit e vjetruar jan\u00eb transferuar n\u00eb opencv_contrib. Jan\u00eb shtuar ALIKED, DISK dhe treguesi LightGlue. OpenCV qart\u00eb po p\u00ebrshtatet me pipeline-t e tanishme, ku karakteristikat e imazhit po nxirren gjithnj\u00eb e m\u00eb shpesh jo nga algoritmet klasike, por nga rrjetet neuronale.<\/p>\n<\/li>\n<li>\n<p><strong>Lloje t\u00eb reja t\u00eb dh\u00ebnash n\u00eb Core.<\/strong><br \/>\nJan\u00eb shtuar CV_16BF \/ cv::bfloat, CV_32U, CV_64U, CV_64S dhe CV_Bool. Po ashtu, \u00ebsht\u00eb p\u00ebrmir\u00ebsuar mb\u00ebshtetje p\u00ebr masat N-dimensionale, masat 1D dhe skalar\u00ebt 0D. LAPACK tani \u00ebsht\u00eb gjithmon\u00eb n\u00eb dispozicion: n\u00ebse nuk ka bibliotek\u00eb t\u00eb jashtme, OpenCV nd\u00ebrt\u00ebn nj\u00eb n\u00ebngrup minimal t\u00eb integruar. Ndryshimet jan\u00eb t\u00eb r\u00ebnd\u00ebsishme p\u00ebr DNN, algoritmet numerike dhe p\u00ebrputhshm\u00ebrin\u00eb me formatet moderne t\u00eb t\u00eb dh\u00ebnave, ku bfloat16 dhe llojet e zgjeruara takohen gjithnj\u00eb e m\u00eb shpesh.<\/p>\n<\/li>\n<li>\n<p><strong>Procesimi i imazheve \u00ebsht\u00eb p\u00ebrshpejtuar.<\/strong><br \/>\nN\u00eb imgproc jan\u00eb p\u00ebrmir\u00ebsuar warpAffine, warpPerspective dhe remap. P\u00ebrmir\u00ebsimet n\u00eb performanc\u00eb jan\u00eb raportuar nga 10% deri n\u00eb m\u00eb shum\u00eb se 300%, var\u00ebsisht nga platforma, madh\u00ebsia e imazhit, tipi i t\u00eb dh\u00ebnave dhe flamujt e operacionit.<br \/>\nKjo nuk \u00ebsht\u00eb m\u00eb p\u00ebr modul t\u00eb AI-s\u00eb \u2014 k\u00ebto optimizime jan\u00eb drejtp\u00ebrdrejt t\u00eb r\u00ebnd\u00ebsishme p\u00ebr detyrat klasike: transmetimet video, stabilizimin, transformimet e projeksionit dhe p\u00ebrgatitjen e t\u00eb dh\u00ebnave para inferenc\u00ebs.<\/p>\n<\/li>\n<li>\n<p><strong>\u00cbsht\u00eb p\u00ebrmir\u00ebsuar shkarkimi i tekstit.<\/strong><br \/>\nMekanizmi i vjet\u00ebr i renditjes s\u00eb tekstit \u00ebsht\u00eb z\u00ebvend\u00ebsuar nga motori TrueType i bazuar n\u00eb STB me shkrimin variatik Rubik t\u00eb integruar. Mund t\u00eb lidhen shkrime t\u00eb personalizuara, ka mb\u00ebshtetje t\u00eb gjer\u00eb p\u00ebr Unicode. Megjithat\u00eb, shkrimet e komplikuara si arabishtja dhe devanagari aktualisht nuk shfaqen si\u00e7 duhet pa Harfbuzz, dhe emoji me ngjyra nuk mb\u00ebshteten. OpenCV po b\u00ebhet m\u00eb i leht\u00eb p\u00ebr gjenerimin e annotimeve, imazheve t\u00eb debugging dhe vizualizimeve pa biblioteka t\u00eb jashtme.<\/p>\n<\/li>\n<li>\n<p><strong>Jan\u00eb p\u00ebrmir\u00ebsuar 3D dhe kalibrimi i kamerave.<\/strong><br \/>\ncalib3d \u00ebsht\u00eb ndar\u00eb n\u00eb geometry, calib, stereo dhe ptcloud. USAC \u00ebsht\u00eb b\u00ebr\u00eb backend standard p\u00ebr vler\u00ebsimin e q\u00ebndruesh\u00ebm t\u00eb homografis\u00eb, matric\u00ebs esenciale\/fundamentale, PnP dhe detyrave t\u00eb tjera. \u00cbsht\u00eb shtuar nj\u00eb pipeline p\u00ebr kalibrimin me shum\u00eb kamera, mb\u00ebshtetje fillestare p\u00ebr p\u00ebrpunimin e rrjeteve dhe objekteve t\u00eb pikave, duke p\u00ebrfshir\u00eb TSDF, ICP, import dhe eksport t\u00eb .ply dhe .obj. Ky \u00ebsht\u00eb nj\u00eb hap i r\u00ebnd\u00ebsish\u00ebm p\u00ebr robotik\u00ebn, SLAM, AR\/VR dhe sistemet me shum\u00eb kamera, ku p\u00ebrpunimi 2D prej koh\u00ebsh nuk \u00ebsht\u00eb mjaftuesh\u00ebm.<\/p>\n<\/li>\n<li>\n<p><strong>Jan\u00eb rishikuar shembujt dhe dokumentacioni.<\/strong><br \/>\nShembujt e vjet\u00ebruar jan\u00eb fshir\u00eb, dhe ata q\u00eb kan\u00eb mbetur jan\u00eb p\u00ebrdit\u00ebsuar. P\u00ebr shembujt DNN p\u00ebrdoret nj\u00eb koleksion i p\u00ebrbashk\u00ebt i modeleve q\u00eb mund t\u00eb shkarkohet me skriptin download_models.py. Jan\u00eb shtuar shembuj eksperimental\u00eb p\u00ebr VLM dhe LDM, dhe dokumentacioni ka marr\u00eb nj\u00eb tem\u00eb moderne, k\u00ebrkim t\u00eb shpejt\u00eb, modalitet t\u00eb bardh\u00eb\/t\u00eb err\u00ebt dhe navigim t\u00eb p\u00ebrmir\u00ebsuar. P\u00ebr nj\u00eb bibliotek\u00eb kaq t\u00eb madhe, ky ndryshim nuk \u00ebsht\u00eb kozmetik: dokumentacioni normal dhe shembujt funksional ndikojn\u00eb drejtp\u00ebrdrejt n\u00eb aft\u00ebsin\u00eb e zhvilluesve p\u00ebr t\u00eb kaluar n\u00eb OpenCV 5.x.<\/p>\n<\/li>\n<\/ul>\n<p>Si rezultat, OpenCV 5.0 nuk \u00ebsht\u00eb vet\u00ebm nj\u00eb version tjet\u00ebr me optimizime, por nj\u00eb p\u00ebrdit\u00ebsim t\u00eb r\u00ebnd\u00ebsish\u00ebm t\u00eb gjith\u00e7kaje: m\u00eb pak trash\u00ebgimi nga periudha e OpenCV 1.x dhe m\u00eb shum\u00eb orientim ndaj ONNX, inferenc\u00ebs s\u00eb rrjeteve neurale, karakteristikave moderne, p\u00ebrpunimit 3D dhe p\u00ebrshpejtimit heterogjen. Megjithat\u00eb, kalimi p\u00ebr projektet e vjetra mund t\u00eb k\u00ebrkoj\u00eb modifikime p\u00ebr shkak t\u00eb heqjes s\u00eb API C dhe transferimit t\u00eb disa moduleve n\u00eb opencv_contrib.<\/p>\n<p>Burimi: <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 5.0.2 - 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