added example for: TensorFlow Object Detection API

Author: morozovsk

Diff for: README.md

@@ -19,6 +19,9 @@
 ![cat.jpg](https://raw.githubusercontent.com/php-opencv/php-opencv-examples/master/images/cat.jpg)
 Results: 87%: Egyptian cat, 4%: tabby, tabby cat, 2%: tiger cat
 
+- [detect objects by dnn mobilenet](https://github.com/php-opencv/php-opencv-examples/blob/master/detect_objects_by_dnn_mobilenet.php)
+![detect_objects_by_dnn_mobilenet.png](https://raw.githubusercontent.com/php-opencv/php-opencv-examples/master/results/detect_objects_by_dnn_mobilenet.png)
+
 #### Helper for autocomplete and highlighting in your IDE
 - [phpdoc file](https://github.com/php-opencv/php-opencv-examples/blob/master/phpdoc.php)
 

Diff for: categorize_image_by_dnn_mobilenet.php renamed to classify_image_by_dnn_mobilenet.php

@@ -3,7 +3,7 @@
 use CV\Scalar;
 use function CV\{imread, cvtColor};
 
-$categories = file('models/mobilenet/synset.txt');
+$categories = explode("\n", file_get_contents('models/mobilenet/classes.txt'));
 
 $src = imread("images/cat.jpg"); // opencv loads image to matrix with BGR order
 $src = cvtColor($src, CV\COLOR_BGR2RGB); // convert BGR to RGB
@@ -30,5 +30,5 @@
 $confidences = array_slice($confidences, 0, 5, true);
 
 foreach ($confidences as $label => $confidence) {
-    echo "$confidence%: {$categories[$label]}";
+    echo "$confidence%: {$categories[$label]}\n";
 }

Diff for: detect_face_by_dnn_ssd.php

@@ -24,7 +24,12 @@
     $confidence = $r->atIdx([0,0,$i,2]);
     //var_export($confidence);echo "\n";
     if ($confidence > 0.5) {
-        rectangle($src, $r->atIdx([0,0,$i,3])*$src->cols, $r->atIdx([0,0,$i,4])*$src->rows, $r->atIdx([0,0,$i,5])*$src->cols, $r->atIdx([0,0,$i,6])*$src->rows, $scalar, 3);
+        $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]) * $src->rows;
+
+        rectangle($src, $startX, $startY, $endX, $endY, $scalar, 3);
     }
 }
 

Diff for: detect_objects_by_dnn_mobilenet.php

@@ -0,0 +1,41 @@
+<?php
+
+use CV\Scalar;
+use function CV\{imread, cvtColor};
+
+//$categories = explode("\n", file_get_contents('models/ssd_mobilenet_v1_coco/classes.txt'));
+$categories = explode("\n", file_get_contents('models/ssdlite_mobilenet_v2_coco/classes.txt'));
+
+$src = imread("images/objects.jpg"); // opencv loads image to matrix with BGR order
+//var_export($src);
+
+$blob = \CV\DNN\blobFromImage($src, 0.017, new \CV\Size(300,300), new Scalar(127.5, 127.5, 127.5), true, false); // convert image to 4 dimensions matrix
+//var_export($blob);
+
+//$net = \CV\DNN\readNetFromTensorflow('models/ssd_mobilenet_v1_coco/frozen_inference_graph.pb', 'models/ssd_mobilenet_v1_coco/ssd_mobilenet_v1_coco.pbtxt');
+$net = \CV\DNN\readNetFromTensorflow('models/ssdlite_mobilenet_v2_coco/frozen_inference_graph.pb', 'models/ssdlite_mobilenet_v2_coco/ssdlite_mobilenet_v2_coco.pbtxt');
+$net->setInput($blob, "");
+
+$r = $net->forward();
+var_export($r);
+
+$rectangles = [];
+for ($i = 0; $i < $r->shape[2]; $i++) {
+    $classId = $r->atIdx([0,0,$i,1]);
+    $confidence = intval($r->atIdx([0,0,$i,2]) * 100);
+    if ($classId && $confidence > 30) {
+        $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;
+
+        $scalar = new Scalar(0, 0, 255);
+        \CV\rectangle($src, $startX, $startY, $endX, $endY, $scalar, 2);
+
+        $text = "{$categories[$classId]} $confidence%";
+        \CV\rectangle($src, $startX, $startY + 10, $startX + 20 * strlen($text), $startY - 30, new Scalar(255,255,255), -2);
+        \CV\putText($src, "{$categories[$classId]} $confidence%", new \CV\Point($startX, $startY - 2), 0, 1.5, new Scalar(), 2);
+    }
+}
+
+\CV\imwrite("results/_detect_objects_by_dnn_mobilenet.png", $src);

Diff for: images/objects.jpg

@@ -5,4 +5,6 @@ Sources:
 * openface - https://github.com/cmusatyalab/openface/blob/master/docs/models-and-accuracies.md
 * ssd - https://github.com/opencv/opencv_3rdparty/tree/dnn_samples_face_detector_20170830
 * waifu2x - https://github.com/HomeOfVapourSynthEvolution/VapourSynth-Waifu2x-caffe/tree/master/Waifu2x-caffe/models/upconv_7_anime_style_art_rgb
-* mobilenet - https://github.com/shicai/MobileNet-Caffe
+* mobilenet - https://github.com/shicai/MobileNet-Caffe
+* 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

Diff for: models/README.md

@@ -0,0 +1,183 @@
+unclassified
+person
+bicycle
+car
+motorcycle
+airplane
+bus
+train
+truck
+boat
+traffic
+fire
+street
+stop
+parking
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+hat
+backpack
+umbrella
+shoe
+eye
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports
+kite
+baseball
+baseball
+skateboard
+surfboard
+tennis
+bottle
+plate
+wine
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot
+pizza
+donut
+cake
+chair
+couch
+potted
+bed
+mirror
+dining
+window
+desk
+toilet
+door
+tv
+laptop
+mouse
+remote
+keyboard
+cell
+microwave
+oven
+toaster
+sink
+refrigerator
+blender
+book
+clock
+vase
+scissors
+teddy
+hair
+toothbrush
+hair
+banner
+blanket
+branch
+bridge
+building-other
+bush
+cabinet
+cage
+cardboard
+carpet
+ceiling-other
+ceiling-tile
+cloth
+clothes
+clouds
+counter
+cupboard
+curtain
+desk-stuff
+dirt
+door-stuff
+fence
+floor-marble
+floor-other
+floor-stone
+floor-tile
+floor-wood
+flower
+fog
+food-other
+fruit
+furniture-other
+grass
+gravel
+ground-other
+hill
+house
+leaves
+light
+mat
+metal
+mirror-stuff
+moss
+mountain
+mud
+napkin
+net
+paper
+pavement
+pillow
+plant-other
+plastic
+platform
+playingfield
+railing
+railroad
+river
+road
+rock
+roof
+rug
+salad
+sand
+sea
+shelf
+sky-other
+skyscraper
+snow
+solid-other
+stairs
+stone
+straw
+structural-other
+table
+tent
+textile-other
+towel
+tree
+vegetable
+wall-brick
+wall-concrete
+wall-other
+wall-panel
+wall-stone
+wall-tile
+wall-wood
+water-other
+waterdrops
+window-blind
+window-other
+wood