Ukukhishwa komtapo wolwazi wekhompyutha we-OpenCV 4.2

kwenzeka khulula umtapo wezincwadi I-OpenCV 4.2 (I-Open Source Computer Vision Library), ehlinzeka ngamathuluzi okucubungula nokuhlaziya okuqukethwe kwesithombe. I-OpenCV ihlinzeka ngama-algorithms angaphezu kuka-2500, kokubili akudala futhi abonisa intuthuko yakamuva ekuboneni ngekhompyutha nezinhlelo zokufunda zomshini. Ikhodi yelabhulali ibhalwe ku-C++ kanye isatshalaliswa ngu ngaphansi kwelayisensi ye-BSD. Izibopho zilungiselelwa izilimi ezihlukahlukene zokuhlela, kuhlanganise nePython, MATLAB neJava.

Umtapo wolwazi ungasetshenziswa ukubona izinto ezithombeni nakumavidiyo (isibonelo, ukubonwa kobuso nezibalo zabantu, umbhalo, njll.), ukulandelela ukunyakaza kwezinto namakhamera, ukuhlukanisa izenzo kuvidiyo, ukuguqula izithombe, ukukhipha amamodeli e-3D, ukukhiqiza isikhala se-3D kusuka ezithombeni ezisuka kumakhamera we-stereo, ukudala izithombe zekhwalithi ephezulu ngokuhlanganisa izithombe zekhwalithi ephansi, ukucinga izinto ezisesithombeni ezifana nesethi yezakhi eziphrezentwe, ukusebenzisa izindlela zokufunda umshini, ukubeka omaka, ukuhlonza izakhi ezivamile ezinhlobonhlobo ezihlukahlukene. izithombe, ezisusa ngokuzenzakalelayo iziphambeko ezifana neso elibomvu .

Π’ okusha ukukhululwa:

  • I-backend yokusebenzisa i-CUDA yengezwe kumojula ye-DNN (Deep Neural Network) ngokusetshenziswa kwama-algorithms okufunda komshini asuselwe kumanethiwekhi e-neural kanye nokwesekwa kwe-API kokuhlola sekuqalisiwe. nGraph OpenVINO;
  • Ngokusebenzisa imiyalelo ye-SIMD, ukusebenza kwekhodi kwalungiselelwa okukhiphayo kwe-stereo (I-StereoBM/StereoSGBM), ukushintshwa kosayizi, ukufihla ubuso, ukuzungezisa, ukubalwa kwezingxenye zombala ezingekho kanye neminye imisebenzi eminingi;
  • Kwengezwe ukuqaliswa okunemicu eminingi komsebenzi pyrDown;
  • Kwengezwe ikhono lokukhipha ukusakazwa kwevidiyo ezitsheni zemidiya (i-demuxing) kusetshenziswa i-videoio backend esekelwe ku-FFmpeg;
  • I-algorithm engeziwe yokwakhiwa kabusha okukhetha imvamisa okusheshayo kwezithombe ezilimele FSR (Ukwakhiwa Kabusha Okukhethekile);
  • Indlela eyengeziwe Ric ukufakwa kwezindawo ezijwayelekile ezingagcwalisiwe;
  • Kungezwe indlela yokuchezuka evamile Logos;
  • Imojula ye-G-API (opencv_gapi), esebenza njengenjini yokucubungula isithombe ngempumelelo kusetshenziswa ama-algorithms asekelwe kugrafu, isekela umbono wekhompyutha oyingxube oyinkimbinkimbi kanye nama-algorithms okufunda omshini ajulile. Ukusekelwa kwe-Intel Inference Engine backend kunikezwa. Ukwesekwa okwengeziwe kokucubungula ukusakazwa kwevidiyo kumodeli yokusayinda;
  • Kuqediwe ubuthakathaka (I-CVE-2019-5063, I-CVE-2019-5064), okungase kuholele ekusebenziseni ikhodi yomhlaseli lapho kucutshungulwa idatha engaqinisekisiwe kumafomethi we-XML, YAML kanye ne-JSON. Uma uhlamvu olunekhodi elingenalutho luhlangatshezwana nalo phakathi nokuhlaziya kwe-JSON, lonke inani likopishelwa kusigcinalwazi, kodwa ngaphandle kokuhlola kahle ukuthi liyayeqa yini imingcele yendawo yenkumbulo eyabelwe.

Source: opennet.ru

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