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AndroidçOpenCV 2.4ã®é¡æ¤åºãµã³ãã«ããã«ãããã¾ã§ã®æé 2012å¹´5æ2æ¥ 11:57 pm | ã«ãã´ãªã¼: Programming | ã³ã¡ã³ããæ®ã ã¿ã°: Android, Eclipse, OpenCV ãããã³ã ãé¡æ¤åºããééã£ã¦ãé¡èªèããããé¡èªè¨¼ãããæ¸ãã¦ããã®ã§ï¼è¨æ£ãã¾ããï¼ããããªããï¼ â OpenCV 2.4ãæ£å¼å ¬éãããã®ã§ï¼ãµã³ãã«ã«å ¥ã£ã¦ããé¡æ¤åºï¼face-detectionï¼ã§éã³ã¾ããï¼æé ã¯ä»¥åã¨å¤ããã¾ãããï¼ä¸å¿ã¡ã¢ãã¦ããã¾ãï¼ ãç°å¢ã Windows 7 64bit Java SDK 1.6 update 24 32bit Eclipse 3.6 32bitçï¼æ¥æ¬èªåãã¦ããªãããï¼èª¬æã¯ãã¹ã¦è±èªè¡¨è¨ï¼ Android SDK r18ï¼å°ãªãã¨ãAndroid2.2以éï¼API8以éã®SDK Platfor
You are here Face detection using HTML5, javascript, webrtc, websockets, Jetty and OpenCV Through HTML5 and the corresponding standards, modern browsers get more standarized features with every release. Most people have heard of websockets that allows you to easily setup a two way communication channel with a server, but one of the specifications that hasn't been getting much coverage is the webrt
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Copyfree and in the Public Domain; 2007-2012 by F.A.T.. No rights reserved. A FAT + openFrameworks speed project! Auto Smiley â Computer vision smiley generator from Theo Watson on Vimeo. Auto Smiley is a computer vision application that runs in the background while you work. The software analyzes your face while you are working and if it detects a smile it sends the the ascii smiley face letters
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Face detection in pure PHP (without OpenCV) Par Maurice Svay le vendredi, juin 19 2009, 12:17 - Technologie - Lien permanent Une résumé en français est disponible en fin d'article. Lately, I've been looking for ways to detect faces in photos with PHP. Nowadays, face detection is built in many consumer products (camera obviously, but also Google and iPhoto), and seems to be a pretty common job. So
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Track and understand faces like never before with faceAPI from Seeing Machines â now available for license. faceAPI allows you to incorporate Seeing Machines world class face tracking technology into your own product or application. faceAPI provides a suite of image-processing modules created specifically for tracking and understanding faces and facial features. These powerful tracking modules are
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