From bb5b1be6445be4528116c3d7738431effdd745ea Mon Sep 17 00:00:00 2001 From: Vladimir Goncharov Date: Thu, 18 Feb 2021 21:59:31 +0200 Subject: [PATCH] VanFace --- detect_facemarks_by_dnn_vanface.php | 59 ++++ models/README.md | 1 + models/VanFace/VanFace.caffemodel | Bin 0 -> 3297959 bytes models/VanFace/VanFace.prototxt | 290 ++++++++++++++++++++ results/detect_facemarks_by_dnn_vanface.jpg | Bin 0 -> 298817 bytes 5 files changed, 350 insertions(+) create mode 100644 detect_facemarks_by_dnn_vanface.php create mode 100644 models/VanFace/VanFace.caffemodel create mode 100644 models/VanFace/VanFace.prototxt create mode 100644 results/detect_facemarks_by_dnn_vanface.jpg diff --git a/detect_facemarks_by_dnn_vanface.php b/detect_facemarks_by_dnn_vanface.php new file mode 100644 index 0000000..0dad48f --- /dev/null +++ b/detect_facemarks_by_dnn_vanface.php @@ -0,0 +1,59 @@ +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 - $startY)); + \CV\resize($face, $resized, new Size(60,60)); + $resized = cvtColor($resized, \CV\COLOR_BGR2GRAY, 2); + \CV\meanStdDev($resized, $mean, $sdv); + + $m = $mean->data()[0]; + $s = $sdv->data()[0]; + + $blob = \CV\DNN\blobFromImage($resized, 1 / (0.000001 + $s), new Size(60,60), new Scalar($m, $m, $m)); + $netRecogn->setInput($blob); + //var_export($blob);die(); + $out = $netRecogn->forward(); + $data = $out->data(); + + for ($j=0;$j<68;$j++) { + $point = new \CV\Point($startX + $data[$j*2] * $face->cols, $startY + $data[$j*2+1] * $face->rows); + circle($src, $point, 2, new Scalar(0, 0, 255), 2); + //var_export($point); + } + } +} + +imwrite("results/_detect_facemarks_by_dnn_vanface.jpg", $src); diff --git a/models/README.md b/models/README.md index 1be71b4..eec0782 100644 --- a/models/README.md +++ b/models/README.md @@ -10,3 +10,4 @@ Sources: * ssdlite_mobilenet_v2_coco - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md * ssd_mobilenet_v2_coco - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md * insightface - https://github.com/axinc-ai/ailia-models/tree/master/face_identification/insightface +* VanFace - https://github.com/lsy17096535/face-landmark diff --git a/models/VanFace/VanFace.caffemodel b/models/VanFace/VanFace.caffemodel new file mode 100644 index 0000000000000000000000000000000000000000..2b7343f9728796774f01361137963b2949b4ee45 GIT binary patch literal 3297959 zcmZ^~c{EpF^gfQvAxW7sWtKVfJ^N)2O~{lqspySLAw?xahB9TQR3bx4q7v@eS4D#+ zBuzAuCZ%~){d~TkKYr`CzU%kTJ$K!6&${cbd-p!iex7HG3&#X)3|${oA?zn3>gGJx z!Z|29XcqsHSz_yhHm=-4{mF0RhD-nOzRn47iM9@ADP zaNC^bau+3HxW=6VgzcKeTXOm`6wC5+-iORMr}k(ZUlPm9XGh`XQ*)kd%mpfwPz-8I zjkuqK3E0183SH;&gs$!l;1=p>kcP21Ub3|ZXD0U$S7_{@TmP=c3b}Tk)r}Lpbw`f# z6i!V?9r^v-;-$wqTNg`6u4qE5)H^8Mb_U**E`pVxckueJPld?x6z--|3l~#h$t_l0 z#l8G?id!X@#q$m?qY zYnTrAN5+hIPJcQ#>Lba^+2F^W4^H5HxuVH!Ul_zu-Z_{jU%`#*&jGoEgg2<#50_bO zp5_k^Uh2VJoUzeiuBxUF8;{sJRyvi}q#4JvT9?DFD=opq1L556N8;Q_k`GV7 zYcI`vVaj=oXH%buwcObZf8LErvAmVJmE7_58NBN{0+4BU0p6NuaQ``{aK*D0FpIjg 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