upscale_image_x2_by_dnn_waifu2x.php

<?php

use CV\Scalar;
use function CV\{imread, imwrite, cvtColor};


$src = imread("images/icon_64x64.png"); // opencv loads image to matrix with BGR order
$src = cvtColor($src, CV\COLOR_BGR2RGB); // convert BGR to RGB
\CV\copyMakeBorder($src, $src, 7, 7, 7, 7, 1); // add borders 7px
//var_export($src);

$blob = \CV\DNN\blobFromImage($src, 1, $src->size(), new Scalar()); // convert image to 4 dimensions matrix
//var_export($blob);
$blob = $blob->divide(255); // convert color values from 0-255 to 0-1

$net = \CV\DNN\readNetFromCaffe('models/waifu2x/scale2.0x_model.prototxt', 'models/waifu2x/scale2.0x_model.caffemodel');

$net->setInput($blob, "");

$r = $net->forward();

$r = $r->divide(1/255); // convert color values from 0-255 to 0-1
//var_export($r);

$mat = new \CV\Mat($r->shape[2], $r->shape[3], CV\CV_32FC3);

for ($i = 0; $i < $r->shape[2]; $i++) {
    for ($j = 0; $j < $r->shape[3]; $j++) {
        $mat->at($i, $j, 0, $r->atIdx([0,0,$i,$j])); //R
        $mat->at($i, $j, 1, $r->atIdx([0,1,$i,$j])); //G
        $mat->at($i, $j, 2, $r->atIdx([0,2,$i,$j])); //B
    }
}

imwrite("results/_upscale_image_x2_by_dnn_waifu2x.png", $mat);