Siideynta OpenCV 4.2 maktabadda aragga kombiyuutarka

dhacay siidaynta maktabada bilaashka ah FurCV 4.2 (Open Source Computer Vision Library), kaas oo bixiya agabka habaynta iyo falanqaynta waxa ku jira sawirka. OpenCV waxay bixisaa in ka badan 2500 algorithms, labadaba classic iyo ka tarjumaysa horumarkii ugu dambeeyay ee aragga kombiyuutarka iyo hababka barashada mashiinka. Nambarka maktabadda wuxuu ku qoran yahay C++ iyo qaybiyey hoos yimaada shatiga BSD. Xirmooyinka waxaa loo diyaariyey luuqado kala duwan oo barnaamij ah, oo ay ku jiraan Python, MATLAB iyo Java.

Maktabadda waxaa loo isticmaali karaa in lagu aqoonsado walxaha ku jira sawirrada iyo fiidyaha (tusaale ahaan, aqoonsiga wejiyada iyo tirooyinka dadka, qoraalka, iwm.), la socodka dhaqdhaqaaqa walxaha iyo kamaradaha, kala soocidda ficillada fiidyaha, beddelka sawirrada, soo saarista moodooyinka 3D, ka soo saarida booska 3D ee sawirada kamaradaha stereo, abuurista sawirro tayo sare leh iyadoo la isku darayo sawirro tayo hoose leh, raadinta walxaha sawirka oo la mid ah qaybaha la soo bandhigay, isticmaalka hababka barashada mashiinka, dhejinta calaamadaha, aqoonsiga walxaha caadiga ah ee kala duwan. sawirro, oo si toos ah u baabi'inaya cilladaha sida isha cas.

Π’ cusub siidayn:

  • Dib-u-eegis loogu talagalay isticmaalka CUDA ayaa lagu daray moduleka DNN (Deep Neural Network) iyada oo la hirgelinayo algorithms barashada mashiinka oo ku salaysan shabakadaha neerfaha iyo taageerada API ee tijaabada ah ayaa la hirgeliyay. nGraph OpenVINO;
  • Isticmaalka tilmaamaha SIMD, waxqabadka koodhka ayaa loo hagaajiyay soo saarista stereo (StereoBM/StereoSGBM), cabbirka, waji-xidhka, wareejinta, xisaabinta qaybaha midabka maqan iyo hawlo kale oo badan;
  • Waxaa lagu daray hirgelinta shaqada oo isku xiran pyrDown;
  • Waxaa lagu daray awoodda lagu soo saaro durdurrada fiidiyoowga ah ee weelasha warbaahinta (demuxing) iyadoo la adeegsanayo dhabarka dambe ee videoio ee ku salaysan FFmpeg;
  • Algorithm ee lagu daray dib u dhiska soo noqnoqda-doorashada ee sawirada dhaawacan FSR (Dib u dhiska Xulashada Soo noqnoqda);
  • Habka lagu daray RIC isku dhafka meelaha caadiga ah ee aan buuxin;
  • Habka caadiga ah ee leexashada lagu daray logos;
  • Module G-API (opencv_gapi), kaas oo u shaqeeya sidii matoorka habaynta sawirka hufan iyadoo la adeegsanayo algorithms-ku-salaysan garaaf, waxay taageertaa aragga kombuyuutarka isku-dhafan ee aad u adag iyo algorithms barashada mashiinka qoto dheer. Taageerada dhabarka dambe ee Engine Inference Engine waa la bixiyaa. Taageero lagu daray habaynta durdurrada fiidiyowga qaabka fulinta;
  • La tirtiray baylahda (CVE-2019-5063, CVE-2019-5064), Kaas oo suurta gal ah in uu horseedo fulinta koodka weerarka marka la farsameynayo xogta aan la xaqiijin ee qaababka XML, YAML iyo JSON. Haddii jilaa leh koodka null-ka ah uu la kulmo inta lagu jiro falanqaynta JSON, dhammaan qiimaha waxaa lagu koobiyeeyay kaydiyaha, laakiin iyada oo aan si sax ah loo hubin in ay dhaaftay xadka aagga xusuusta ee loo qoondeeyay.

Source: opennet.ru

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