{"id":1123,"date":"2013-04-05T00:12:05","date_gmt":"2013-04-04T16:12:05","guid":{"rendered":"http:\/\/www.magicandlove.com\/blog\/?p=1123"},"modified":"2013-04-05T00:16:32","modified_gmt":"2013-04-04T16:16:32","slug":"the-new-face-detection-and-processing","status":"publish","type":"post","link":"http:\/\/www.magicandlove.com\/blog\/2013\/04\/05\/the-new-face-detection-and-processing\/","title":{"rendered":"The new face detection and Processing"},"content":{"rendered":"<p>Here is the slightly modified version of the <a href=\"http:\/\/docs.opencv.org\/2.4.4-beta\/doc\/tutorials\/introduction\/desktop_java\/java_dev_intro.html\">OpenCV Java tutorial example<\/a> with face detection, ported to <a href=\"http:\/\/processing.org\">Processing<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1125\" title=\"opencvFace\" src=\"http:\/\/www.magicandlove.com\/blog\/wp-content\/uploads\/2013\/04\/opencvFace.jpg\" alt=\"\" width=\"560\" height=\"440\" srcset=\"http:\/\/www.magicandlove.com\/blog\/wp-content\/uploads\/2013\/04\/opencvFace.jpg 560w, http:\/\/www.magicandlove.com\/blog\/wp-content\/uploads\/2013\/04\/opencvFace-300x235.jpg 300w\" sizes=\"auto, (max-width: 560px) 100vw, 560px\" \/><\/p>\n<pre lang=\"java\">import processing.video.*;\r\n\r\nimport org.opencv.core.Core;\r\nimport org.opencv.core.Mat;\r\nimport org.opencv.core.MatOfRect;\r\nimport org.opencv.core.Point;\r\nimport org.opencv.core.Rect;\r\nimport org.opencv.core.Scalar;\r\nimport org.opencv.core.CvType;\r\nimport org.opencv.core.Size;\r\nimport org.opencv.objdetect.CascadeClassifier;\r\n\r\nimport java.awt.image.BufferedImage;\r\nimport java.awt.image.WritableRaster;\r\nimport java.awt.image.Raster;\r\n\r\nCapture cap;\r\nint pixCnt;\r\nBufferedImage bm;\r\n\r\nCascadeClassifier faceDetector;\r\nMatOfRect faceDetections;\r\n\r\nvoid setup() {\r\n  size(640, 480);\r\n  System.loadLibrary(Core.NATIVE_LIBRARY_NAME);\r\n  println(Core.VERSION);\r\n\r\n  cap = new Capture(this, width, height);\r\n  cap.start();\r\n  bm = new BufferedImage(width, height, BufferedImage.TYPE_4BYTE_ABGR);\r\n  pixCnt = width*height*4;\r\n\r\n  faceDetector = new CascadeClassifier(dataPath(\"haarcascade_frontalface_default.xml\"));\r\n  faceDetections = new MatOfRect();\r\n}\r\n\r\nvoid convert(PImage _i) {\r\n  bm.setRGB(0, 0, _i.width, _i.height, _i.pixels, 0, _i.width);\r\n  Raster rr = bm.getRaster();\r\n  byte [] b1 = new byte[pixCnt];\r\n  rr.getDataElements(0, 0, _i.width, _i.height, b1);\r\n  Mat m1 = new Mat(_i.height, _i.width, CvType.CV_8UC4);\r\n  m1.put(0, 0, b1);\r\n\r\n  Mat m2 = new Mat(_i.height, _i.width, CvType.CV_8UC1);\r\n  Imgproc.cvtColor(m1, m2, Imgproc.COLOR_BGRA2GRAY);   \r\n\r\n  faceDetector.detectMultiScale(m2, faceDetections, 3, 1, \r\n  Objdetect.CASCADE_DO_CANNY_PRUNING, new Size(40, 40), new Size(240, 240));\r\n\r\n  bm.flush();\r\n  m2.release();\r\n  m1.release();\r\n}\r\n\r\nvoid draw() {\r\n  if (!cap.available()) \r\n    return;\r\n  background(0);\r\n  cap.read();\r\n  convert(cap);\r\n  image(cap, 0, 0);\r\n  for (Rect rect: faceDetections.toArray()) {\r\n    noFill();\r\n    stroke(255, 0, 0);\r\n    rect(rect.x, rect.y, rect.width, rect.height);\r\n  }\r\n}<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Here is the slightly modified version of the OpenCV Java tutorial example with face detection, ported to Processing. import processing.video.*; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.MatOfRect; import org.opencv.core.Point; import org.opencv.core.Rect; import org.opencv.core.Scalar; import org.opencv.core.CvType; import org.opencv.core.Size; import org.opencv.objdetect.CascadeClassifier; import java.awt.image.BufferedImage; import java.awt.image.WritableRaster; import java.awt.image.Raster; Capture cap; int pixCnt; BufferedImage bm; CascadeClassifier faceDetector; MatOfRect faceDetections; void [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[79],"tags":[3,62],"class_list":["post-1123","post","type-post","status-publish","format-standard","hentry","category-software-2","tag-opencv","tag-processing-org"],"_links":{"self":[{"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/posts\/1123","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/comments?post=1123"}],"version-history":[{"count":2,"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/posts\/1123\/revisions"}],"predecessor-version":[{"id":1126,"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/posts\/1123\/revisions\/1126"}],"wp:attachment":[{"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/media?parent=1123"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/categories?post=1123"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.magicandlove.com\/blog\/wp-json\/wp\/v2\/tags?post=1123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}