Vladimir Goncharov
35 linhas
985 B
PHP
35 linhas
985 B
PHP
<?php
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use CV\Scalar;
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use function CV\{imread, cvtColor};
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$categories = explode("\n", file_get_contents('models/mobilenet/classes.txt'));
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$src = imread("images/cat.jpg"); // opencv loads image to matrix with BGR order
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$src = cvtColor($src, CV\COLOR_BGR2RGB); // convert BGR to RGB
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//var_export($src);
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$blob = \CV\DNN\blobFromImage($src, 0.017, new \CV\Size(224,224), new Scalar(103.94, 116.78, 123.68)); // convert image to 4 dimensions matrix
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//var_export($blob);
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$net = \CV\DNN\readNetFromCaffe('models/mobilenet/mobilenet_deploy.prototxt', 'models/mobilenet/mobilenet.caffemodel');
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$net->setInput($blob, "");
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$r = $net->forward();
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//var_export($r);
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$maxConfidence = 0;
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$confidences = [];
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for ($i = 0; $i < 1000; $i++) {
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$confidences[$i] = intval($r->atIdx([0,$i,0,0], 1) * 100);
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}
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// top 5:
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arsort($confidences);
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$confidences = array_slice($confidences, 0, 5, true);
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foreach ($confidences as $label => $confidence) {
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echo "$confidence%: {$categories[$label]}\n";
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}
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