{"id":36726,"date":"2019-10-31T22:13:23","date_gmt":"2019-10-31T19:13:23","guid":{"rendered":"https:\/\/prohoster.info\/blog\/stroim-sistemu-raspoznavaniya-lits-na-osnove-golang-i-opencv\/"},"modified":"2019-10-31T22:13:23","modified_gmt":"2019-10-31T19:13:23","slug":"stroim-sistemu-raspoznavaniya-lits-na-osnove-golang-i-opencv","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/stroim-sistemu-raspoznavaniya-lits-na-osnove-golang-i-opencv","title":{"rendered":"Gradimo sistem prepoznavanja lica zasnovan na Golangu i OpenCV","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Gradimo sistem prepoznavanja lica zasnovan na Golangu i OpenCV\" src=\"\/wp-content\/uploads\/2019\/08\/053427f29ed319ede4498f2239044341.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nOpenCV je knji\u017enica, razvita za projekte ra\u010dunalnega vida. Obstaja \u017ee pribli\u017eno 20 let. Uporabljal sem jo \u017ee v fakulteti in jo \u0161e vedno uporabljam za svoje projekte v C++ in Pythonu, saj ima dobro podporo za ta jezika.<\/p>\n<p>Ko sem za\u010del raziskovati in uporabljati Go, me je zanimalo, ali lahko uporabim OpenCV s tem jezikom. Takrat so \u017ee obstajali primeri in tutoriali za integracijo, vendar se mi je zdelo, da so preve\u010d zapleteni. Malo kasneje sem naletel na wrapper, ki ga je ustvarila ekipa The Hybrid Group. V tem \u010dlanku bom pokazal, kako za\u010deti z GoCV in razviti preprost sistem prepoznavanja obrazov s Haarovimi kaskadami.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<blockquote><p><b>Skillbox priporo\u010da:<\/b> Prakti\u010dni te\u010daj <noindex><a rel=\"nofollow\" href=\"https:\/\/skillbox.ru\/python\/?utm_source=skillbox.media&amp;utm_medium=habr.com&amp;utm_campaign=PTNDEV&amp;utm_content=articles&amp;utm_term=govideo\">\u00bbPython razvijalec od za\u010detka\u00ab<\/a><\/noindex>.<\/p>\n<p><b>Opominjamo:<\/b> <i>za vse bralce \u00bbHabra\u00ab \u2014 popust 10 000 rubljev ob vpisu na kateri koli te\u010daj Skillbox s promo kodo \u00bbHabr\u00ab.<\/i>\n<\/p><\/blockquote>\n<p>\n<b>Kaj boste potrebovali:<\/b><\/p>\n<ul>\n<li>Go;<\/li>\n<li>OpenCV (povezave do namestitvenega programa so spodaj);<\/li>\n<li>spletno ali navadno video kamero.<\/li>\n<\/ul>\n<p>\n<b>Namestitev<\/b><\/p>\n<ul>\n<li>Linux: <noindex><a rel=\"nofollow\" href=\"https:\/\/gocv.io\/getting-started\/linux\/\">gocv.io\/getting-started\/linux<\/a><\/noindex><\/li>\n<li>macOS: <noindex><a rel=\"nofollow\" href=\"https:\/\/gocv.io\/getting-started\/macos\/\">gocv.io\/getting-started\/macos<\/a><\/noindex><\/li>\n<li>Windows: <noindex><a rel=\"nofollow\" href=\"https:\/\/gocv.io\/getting-started\/windows\/\">gocv.io\/getting-started\/windows<\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h3>Primer 1<\/h3>\n<p>\nV prvem primeru bomo poskusili ustvariti aplikacijo, ki odpre okno z prikazom video toka kamere.<\/p>\n<p>Najprej je treba uvoziti knji\u017enice, potrebne za delo.<\/p>\n<p><i>import (<br \/>\n \u201clog\u201d<br \/>\n \u201cgocv.io\/x\/gocv\u201d<br \/>\n)<\/i><\/p>\n<p>Nato je treba ustvariti objekt VideoCapture z uporabo funkcije VideoCaptureDevice. Ta omogo\u010da zajem video toka s pomo\u010djo kamere. Funkcija uporablja celo \u0161tevilo kot parameter (ki predstavlja ID naprave).<\/p>\n<pre><code class=\"go\">webcam, err := gocv.VideoCaptureDevice(0)\nif err != nil {    log.Fatalf(\u201cnapaka pri odpiranju spletne kamere: %v\u201d, err)\n}\ndefer webcam.Close()<\/code><\/pre>\n<p>\nZdaj je treba ustvariti n-dimenzionalno matriko. Ta bo hranila slike, prebrane s kamere.<\/p>\n<pre><code class=\"go\">img := gocv.NewMat()\ndefer img.Close()<\/code><\/pre>\n<p>\nZa prikaz video toka je treba ustvariti okno \u2014 to lahko storimo s funkcijo NewWindow.<\/p>\n<pre><code class=\"go\">window := gocv.NewWindow(\u201cwebcamwindow\u201d)\ndefer window.Close()<\/code><\/pre>\n<p>\nSedaj preidimo na najbolj zanimiv del.<\/p>\n<p>Ker video predstavlja neprekinjen tok slikovnih sli\u010dic, bomo morali ustvariti neskon\u010dno zanko za nenehno prebiranje video toka kamere. Za to potrebujemo metodo Read vrste VideoCapture. Ta bo pri\u010dakoval tip Mat (matrika, ki smo jo ustvarili zgoraj), ki bo vrnila logi\u010dno vrednost, ki ka\u017ee, ali je bila sli\u010dica iz VideoCapture uspe\u0161no prebrana ali ne.<\/p>\n<pre><code class=\"go\">for {     \n        if ok := webcam.Read(&amp;img); !ok || img.Empty() {\n        log.Println(\u201cNi mogo\u010de prebrati iz spletne kamere\u201d)    continue\n     }\n.\n.\n.\n}<\/code><\/pre>\n<p>\nZdaj je treba prikazati sli\u010dico v ustvarjenem oknu. Pavza za prehod na naslednjo sli\u010dico \u2014 50 ms.<\/p>\n<p><i>window.IMShow(img)<br \/>\nwindow.WaitKey(50)<\/i><\/p>\n<p>Po zagonu aplikacije se bo odprlo okno z video tokom s kamere.<\/p>\n<p><img decoding=\"async\" alt=\"Gradimo sistem prepoznavanja lica zasnovan na Golangu i OpenCV\" src=\"\/wp-content\/uploads\/2019\/08\/02677722c3c3fb867f73917c53031f07.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n <\/p>\n<pre><code class=\"go\">package main\n \nimport (\n\"log\"\n \n\"gocv.io\/x\/gocv\"\n)\n \nfunc main() {\nwebcam, err := gocv.VideoCaptureDevice(0)\nif err != nil {\n    log.Fatalf(\"error opening device: %v\", err)\n}\ndefer webcam.Close()\n \nimg := gocv.NewMat()\ndefer img.Close()\n \nwindow := gocv.NewWindow(\"webcamwindow\")\ndefer window.Close()\n \nfor {\nif ok := webcam.Read(&amp;img); !ok || img.Empty() {\nlog.Println(\"Unable to read from the webcam\")\ncontinue\n}\n \nwindow.IMShow(img)\nwindow.WaitKey(50)\n}\n}<\/code><\/pre>\n<p><\/p>\n<h3>Primer 2<\/h3>\n<p>\nV tem primere dajte vospol'zuyemsya predydushchim primerym i postroim sistemy po raspoznavaniyu lits na osnove Haar Cascades (kaskady Khaara).<\/p>\n<p>Kaskady Khaara \u2014 eto kaskadnye klassifikatory, kotorye obuchayutsya na osnove tekhniki veivet Khaara. Oni analiziruyut pikseli v izobrazhenii, chtoby obnaruzhit' opredelennye prizniki. Chtoby uznat' bol'she o Haar Cascades, mozhno proyti po ssylkam nishche.<\/p>\n<p><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cs.ubc.ca\/~lowe\/425\/slides\/13-ViolaJones.pdf?source=post_page---------------------------\">Ramka ob'ektnogo obnaruzheniya Viola-Jones<\/a><\/noindex><br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Cascading_classifiers?source=post_page---------------------------\">Kaskadnye klassifikatory<\/a><\/noindex><br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Haar-like_feature?source=post_page---------------------------\">Haar-podobnaya osobennost'<\/a><\/noindex><\/p>\n<p>Skachat' uzhe obuchennye kaskady <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/opencv\/opencv\/tree\/master\/data\/haarcascades?source=post_page---------------------------\">mo\u017eete ovde<\/a><\/noindex>. V tekushchem primere kaskady budut ispol'zovat'sya dlya identifikatsii litsa cheloveka v fas.<\/p>\n<p>Dlya togo chtoby sdelat' eto, nuzhno sozdati klassifikator i skormit' emu uzhe obuchennyy fayl (vy\u0448\u0435 dana ssylka). Ya uzhe zagruzil fayl opencv_haarcascade_frontalface_default.xml v direktoriyu, gde raspolozhena nasha programa.<\/p>\n<pre><code class=\"go\">harrcascade := \"opencv_haarcascade_frontalface_default.xml\"classifier := gocv.NewCascadeClassifier()classifier.Load(harrcascade)\ndefer classifier.Close()<\/code><\/pre>\n<p>\nDlya obnaruzheniya lits na izobrazhenii nuzhno vospol'zovat'sya metodom <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/hybridgroup\/gocv\/blob\/master\/objdetect.go?source=post_page---------------------------#L51\">DetectMultiScale<\/a><\/noindex>. Eta funksziya prinimaet kad\u0440 (tip Mat), kotoryi byl tol'ko chto schitan s videopotoka kamery, i vozvrashchaet massiv tipa Rectangle. Razmer massiva predstavlyaet kolichestvo lits, kotorye klassifikator smog obnaruzhit' v kadre. Zatem, chtoby ubezhditsya, chto my vidim to, chto on nashol, da\u0432\u0430\u0439\u0442\u0435 proydemsya po spisku pryamoougol'nikov i vyvedem ob'ekt Rectangle na konsol', sozdav granitsu vokrug obnaruzhennogo pryamoougol'nika. Eto mozhno sdelat' pri pomoshchi funkszii Rectangle. Ona budet prinimat' Mat, schitannyy kameroy, ob'ekt Rectangle, kotoryi byl vozvrashchyon metodom DetectMultiScale, tsvet i toshchinu dlya granitsy.<\/p>\n<pre><code class=\"go\">for _, r := range rects {\nfmt.Println(\"detected\", r)\ngocv.Rectangle(&amp;img, r, color, 2)\n}<\/code><\/pre>\n<p>\n<img decoding=\"async\" alt=\"Gradimo sistem prepoznavanja lica zasnovan na Golangu i OpenCV\" src=\"\/wp-content\/uploads\/2019\/08\/5c9128572d0f832325b2d19dd0d03b61.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n <br \/>\n<img decoding=\"async\" alt=\"Gradimo sistem prepoznavanja lica zasnovan na Golangu i OpenCV\" src=\"\/wp-content\/uploads\/2019\/08\/57a901331c7f109067c7f254f982a2b0.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n <\/p>\n<pre><code class=\"go\">package main\n \nimport (\n\"fmt\"\n\"image\/color\"\n\"log\"\n \n\"gocv.io\/x\/gocv\"\n)\n \nfunc main() {\nwebcam, err := gocv.VideoCaptureDevice(0)\nif err != nil {\nlog.Fatalf(\"error opening web cam: %v\", err)\n}\ndefer webcam.Close()\n \nimg := gocv.NewMat()\ndefer img.Close()\n \nwindow := gocv.NewWindow(\"webcamwindow\")\ndefer window.Close()\n \nharrcascade := \"opencv_haarcascade_frontalface_default.xml\"\nclassifier := gocv.NewCascadeClassifier()\nclassifier.Load(harrcascade)\ndefer classifier.Close()\n \ncolor := color.RGBA{0, 255, 0, 0}\nfor {\nif ok := webcam.Read(&amp;img); !ok || img.Empty() {\nlog.Println(\"Unable to read from the device\")\ncontinue\n}\n \nrects := classifier.DetectMultiScale(img)\nfor _, r := range rects {\nfmt.Println(\"detected\", r)\ngocv.Rectangle(&amp;img, r, color, 3)\n}\n \nwindow.IMShow(img)\nwindow.WaitKey(50)\n}\n}<\/code><\/pre>\n<p>\n\u0418 \u0434\u0430, \u0443 \u043d\u0430\u0441 \u0432\u0441\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u043e\u0441\u044c! \u0422\u0435\u043f\u0435\u0440\u044c \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u043f\u0440\u043e\u0441\u0442\u0430\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043b\u0438\u0446, \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u043d\u0430\u044f \u043d\u0430 Go. \u0412 \u0441\u043a\u043e\u0440\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u044f \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u044e \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0438\u0442\u044c \u044d\u0442\u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u044b \u0438 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043d\u043e\u0432\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u0435 \u0432\u0435\u0449\u0438, \u0441\u043e\u0447\u0435\u0442\u0430\u044f Go \u0438 OpenCV.<\/p>\n<p>\u0415\u0441\u043b\u0438 \u0432\u0430\u043c \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e, \u043e\u0446\u0435\u043d\u0438\u0442\u0435. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/Niraj-Fonseka\/recognize?source=post_page---------------------------\">gRPC \u0432\u0435\u0431-\u0441\u0435\u0440\u0432\u0435\u0440<\/a><\/noindex>, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u044f \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043d\u0430 Python \u0438 OpenCV. \u041e\u043d \u043f\u0435\u0440\u0435\u0434\u0430\u0435\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u0432 \u043c\u043e\u043c\u0435\u043d\u0442 \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u043b\u0438\u0446\u0430. \u042d\u0442\u043e \u043e\u0441\u043d\u043e\u0432\u0430 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u043d\u0430 \u0440\u0430\u0437\u043d\u044b\u0445 \u044f\u0437\u044b\u043a\u0430\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f. \u041e\u043d\u0438 \u0441\u043c\u043e\u0433\u0443\u0442 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0442\u044c\u0441\u044f \u043a \u0441\u0435\u0440\u0432\u0435\u0440\u0443 \u0438 \u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u044c \u0441 \u043d\u0435\u0433\u043e \u0434\u0430\u043d\u043d\u044b\u0435.<\/p>\n<p>\u0421\u043f\u0430\u0441\u0438\u0431\u043e, \u0447\u0442\u043e \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u043b\u0438 \u0441\u0442\u0430\u0442\u044c\u044e!<\/p>\n<blockquote><p><b>Skillbox priporo\u010da:<\/b><\/p>\n<ul>\n<li>\u0414\u0432\u0443\u0445\u043b\u0435\u0442\u043d\u0438\u0439 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043a\u0443\u0440\u0441 <noindex><a rel=\"nofollow\" href=\"https:\/\/iamwebdev.skillbox.ru\/?utm_source=skillbox.media&amp;utm_medium=habr.com&amp;utm_campaign=WEBDEVPRO&amp;utm_content=articles&amp;utm_term=govideo\">\u00ab\u042f \u2014 \u0432\u0435\u0431-\u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a PRO\u00bb<\/a><\/noindex>.<\/li>\n<li>\u041e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u043e\u043d\u043b\u0430\u0439\u043d-\u043a\u0443\u0440\u0441 <noindex><a rel=\"nofollow\" href=\"https:\/\/skillbox.ru\/java\/?utm_source=skillbox.media&amp;utm_medium=habr.com&amp;utm_campaign=JAVDEV&amp;utm_content=articles&amp;utm_term=govideo\">\u00ab\u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u044f Java-\u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u00bb<\/a><\/noindex>.<\/li>\n<li>\u041f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0433\u043e\u0434\u043e\u0432\u043e\u0439 \u043a\u0443\u0440\u0441 <noindex><a rel=\"nofollow\" href=\"https:\/\/skillbox.ru\/php\/?utm_source=skillbox.media&amp;utm_medium=habr.com&amp;utm_campaign=PHPDEV&amp;utm_content=articles&amp;utm_term=govideo\">\u00abPHP-\u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a \u0441 0 \u0434\u043e PRO\u00bb<\/a><\/noindex>.\n<\/li>\n<\/ul>\n<\/blockquote>\n<p>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillbox\/blog\/462159\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>OpenCV \u2014 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u0430\u044f \u0434\u043b\u044f \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u043f\u043e \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u043c\u0443 \u0437\u0440\u0435\u043d\u0438\u044e. \u0415\u0439 \u0443\u0436\u0435 \u043e\u043a\u043e\u043b\u043e 20 \u043b\u0435\u0442. \u042f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b \u0435\u0435 \u0435\u0449\u0435 \u0432 \u043a\u043e\u043b\u043b\u0435\u0434\u0436\u0435 \u0438 \u0434\u043e \u0441\u0438\u0445 \u043f\u043e\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u044e \u0434\u043b\u044f \u0441\u0432\u043e\u0438\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u043d\u0430 C++ \u0438 Python, \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u043e\u043d\u0430 \u0438\u043c\u0435\u0435\u0442 \u043d\u0435\u043f\u043b\u043e\u0445\u0443\u044e \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0443 \u044d\u0442\u0438\u0445 \u044f\u0437\u044b\u043a\u043e\u0432. \u041d\u043e \u043a\u043e\u0433\u0434\u0430 \u044f \u043d\u0430\u0447\u0430\u043b \u0438\u0437\u0443\u0447\u0430\u0442\u044c \u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c Go, \u043c\u043d\u0435 \u0441\u0442\u0430\u043b\u043e \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e, \u043c\u043e\u0436\u043d\u043e \u043b\u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c OpenCV \u0434\u043b\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27509,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36726","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"OpenCV \u2014 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/sl\/blog\/news\/stroim-sistemu-raspoznavaniya-lits-na-osnove-golang-i-opencv\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.4\" \/>\n\t\t<meta property=\"og:locale\" content=\"sl_SI\" 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