initial commit

Author: morozovsk

Diff for: detect_face_by_cascade_classifier.php

@@ -0,0 +1,43 @@
+<?php
+
+use CV\CascadeClassifier, CV\Scalar;
+use function CV\{imread, imwrite, cvtColor, equalizeHist, rectangleByRect};
+use const CV\{COLOR_BGR2GRAY};
+
+
+$src = imread("images/faces.jpg");
+$gray = cvtColor($src, COLOR_BGR2GRAY);
+equalizeHist($gray, $gray);
+
+// face by lbpcascade_frontalface
+$faceClassifier = new CascadeClassifier();
+$faceClassifier->load('models/lbpcascades/lbpcascade_frontalface.xml');
+$faces = null;
+$faceClassifier->detectMultiScale($gray, $faces);
+//var_export($faces);
+
+if ($faces) {
+    $scalar = new Scalar(0, 0, 255); //blue
+
+    foreach ($faces as $face) {
+        rectangleByRect($src, $face, $scalar, 3);
+    }
+}
+
+// eyes by haarcascade_eye
+/*$eyeClassifier = new CascadeClassifier();
+$eyeClassifier->load('models/haarcascades/haarcascade_eye.xml');
+$eyes = null;
+$eyeClassifier->detectMultiScale($gray, $eyes);
+var_export($eyes);
+
+if ($eyes) {
+    $scalar = new Scalar(0, 0, 255); //red
+
+    foreach ($eyes as $eye) {
+        rectangle($src, $eye->x, $eye->y, $eye->x + $eye->width, $eye->y + $eye->height, $scalar, 2);
+    }
+}*/
+
+
+$src = imwrite("results/_detect_face_by_cascade_classifier.jpg", $src);

Diff for: detect_face_by_dnn_ssd.php

@@ -0,0 +1,34 @@
+<?php
+
+use CV\Scalar, CV\Size;
+use function CV\{imread, imwrite, cvtColor, equalizeHist, rectangle};
+use const CV\{COLOR_BGR2GRAY};
+
+
+$src = imread("images/faces.jpg");
+$gray = cvtColor($src, COLOR_BGR2GRAY);
+equalizeHist($gray, $gray);
+
+\CV\resize($src, $resised, new Size(300, 300));
+
+$blob = \CV\DNN\Net::blobFromImage($resised, 1, new Size(300, 300), new Scalar(104, 177, 123));
+
+$net = \CV\DNN\Net::readNetFromCaffe('models/ssd/res10_300x300_ssd_deploy.prototxt', 'models/ssd/res10_300x300_ssd_iter_140000.caffemodel');
+
+$net->setInput($blob, "");
+
+$r = $net->forward();
+
+$scalar = new Scalar(0, 0, 255);
+for ($i = 0; $i < $r->shape[2]; $i++) {
+    $confidence = $r->atIdx([0,0,$i,2], 1);
+    //var_export($confidence);echo "\n";
+    if ($confidence > 0.5) {
+        rectangle($src, $r->atIdx([0,0,$i,3], 1)*$src->cols, $r->atIdx([0,0,$i,4], 1)*$src->rows, $r->atIdx([0,0,$i,5], 1)*$src->cols, $r->atIdx([0,0,$i,6], 1)*$src->rows, $scalar, 3);
+    }
+}
+
+
+$data = [];
+
+imwrite("results/_detect_face_by_dnn.jpg", $src);

Diff for: detect_facemarks_by_lbf.php

@@ -0,0 +1,34 @@
+<?php
+
+use CV\CascadeClassifier, CV\Face\FacemarkLBF;
+use function CV\{circle, imread, imwrite, cvtColor, equalizeHist};
+use CV\Scalar;
+use const CV\{COLOR_BGR2GRAY};
+
+$src = imread("images/faces.jpg");
+$gray = cvtColor($src, COLOR_BGR2GRAY);
+equalizeHist($gray, $gray);
+
+// face by lbpcascade_frontalface
+$faceClassifier = new CascadeClassifier();
+$faceClassifier->load('models/lbpcascades/lbpcascade_frontalface.xml');
+$faces = null;
+$faceClassifier->detectMultiScale($gray, $faces);
+//var_export($faces);
+
+$facemark = FacemarkLBF::create();
+$facemark->loadModel('models/opencv-facemark-lbf/lbfmodel.yaml');
+
+$facemark->fit($src, $faces, $landmarks);
+//var_export($landmarks);
+if ($landmarks) {
+    $scalar = new Scalar(0, 0, 255);
+    foreach ($landmarks as $face) {
+        foreach($face as $k => $point) {//var_export($point);
+            circle($src, $point, 2, $scalar, 2);
+        }
+    }
+}
+
+
+imwrite("results/_detect_facemarks_by_lbf.jpg", $src);