recognize_face_by_dnn_insightface.php

README.md

@@ -11,7 +11,7 @@
 
 ![detect_facemarks_by_lbf.jpg](https://raw.githubusercontent.com/php-opencv/php-opencv-examples/master/results/detect_facemarks_by_lbf.jpg)
 
-- [recognize face by LBPH algorithm](https://github.com/php-opencv/php-opencv-examples/blob/master/recognize_face_by_lbph.php) / [recognize face by DNN openface](https://github.com/php-opencv/php-opencv-examples/blob/master/recognize_face_by_dnn_openface.php)
+- [recognize face by LBPH algorithm](https://github.com/php-opencv/php-opencv-examples/blob/master/recognize_face_by_lbph.php) / [recognize face by DNN openface](https://github.com/php-opencv/php-opencv-examples/blob/master/recognize_face_by_dnn_openface.php) / [recognize face by DNN insightface](https://github.com/php-opencv/php-opencv-examples/blob/master/recognize_face_by_dnn_insightface.php)
 
 ![recognize_face_by_lbph.jpg](https://raw.githubusercontent.com/php-opencv/php-opencv-examples/master/results/recognize_face_by_lbph.jpg)
 

face_to_vector_by_dnn_insightface.php

@@ -0,0 +1,48 @@
+<?php
+
+use CV\Scalar, CV\Size;
+use function CV\{imread, imwrite};
+
+$netDet = \CV\DNN\readNetFromCaffe('models/ssd/res10_300x300_ssd_deploy.prototxt', 'models/ssd/res10_300x300_ssd_iter_140000.caffemodel');
+$netRecogn = \CV\DNN\readNetFromONNX('models/insightface/arcface_mobilefacenet.onnx');
+
+$src = imread("images/faces.jpg");
+$size = $src->size(); // 2000x500
+
+$minSide = min($size->width, $size->height);
+$divider = $minSide / 300;
+\CV\resize($src, $resized, new Size($size->width / $divider, $size->height / $divider)); // 1200x300
+
+//var_export($resized);
+
+$blob = \CV\DNN\blobFromImage($resized, 1, new Size(), new Scalar(104, 177, 123), true, false);
+
+$netDet->setInput($blob);
+
+$r = $netDet->forward();
+
+//var_export($r->shape);
+
+$faces = [];
+$scalar = new Scalar(0, 0, 255);
+for ($i = 0; $i < $r->shape[2]; $i++) {
+    $confidence = $r->atIdx([0,0,$i,2]);
+    if ($confidence > 0.9) {
+        var_export($confidence);echo "\n";
+        $startX = $r->atIdx([0,0,$i,3]) * $src->cols;
+        $startY = $r->atIdx([0,0,$i,4]) * $src->rows;
+        $endX = $r->atIdx([0,0,$i,5]) * $src->cols;
+        $endY = $r->atIdx([0,0,$i,6]) * $src->rows;
+
+        $face = $src->getImageROI(new \CV\Rect($startX, $startY, $endX - $startX, $endY - $startY));
+        //imwrite("results/_face.jpg", $face);
+
+        $blob = \CV\DNN\blobFromImage($face, 1.0 / 255, new Size(112, 112), new Scalar(), true, false);
+        $netRecogn->setInput($blob);
+        $vec = $netRecogn->forward();
+        \CV\normalize($r, $r);
+
+        //$vec->print();
+        var_export($vec->data());
+    }
+}

models/README.md

@@ -9,3 +9,4 @@ Sources:
 * ssd_mobilenet_v1_coco - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
 * ssdlite_mobilenet_v2_coco - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
 * ssd_mobilenet_v2_coco - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
+* insightface - https://github.com/axinc-ai/ailia-models/tree/master/face_identification/insightface