139 lines
No EOL
5.7 KiB
PHP
139 lines
No EOL
5.7 KiB
PHP
<?php
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/*
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* Copyright 2008-2024 Anael MOBILIA
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*
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* This file is part of image-heberg.fr.
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*
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* image-heberg.fr is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* image-heberg.fr is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with image-heberg.fr. If not, see <http://www.gnu.org/licenses/>
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*/
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namespace ImageHeberg;
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if (!defined('_PHPUNIT_')) {
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require '../config/config.php';
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}
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// Vérification des droits d'accès
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UtilisateurObject::checkAccess(UtilisateurObject::LEVEL_ADMIN);
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require _TPL_TOP_;
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?>
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<h1 class="mb-3"><small>NSFWJS</small></h1>
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<?php
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$message = '';
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// Action à effectuer sur une image
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if (isset($_GET['idImage']) && is_numeric($_GET['idImage'])) {
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$monImage = new ImageObject($_GET['idImage'], RessourceObject::SEARCH_BY_ID);
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if (isset($_GET['bloquer'])) {
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// Blocage de l'image
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$monImage->bloquer();
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$message .= 'Image ' . $monImage->getNomNouveau() . ' bloquée !';
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} elseif (isset($_GET['approuver'])) {
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// Approbation de l'image
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$monImage->approuver();
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$message .= 'Image ' . $monImage->getNomNouveau() . ' approuvée !';
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}
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}
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/**
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* Images à traiter
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*/
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$idStart = 0;
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if (!empty($_GET['nextId']) && is_numeric($_GET['nextId'])) {
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$idStart = trim(str_replace('\'', '_', $_GET['nextId']));
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}
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$req = 'SELECT new_name FROM images' . ($idStart !== 0 ? ' WHERE id < ' . $idStart : '') . ' ORDER BY id DESC LIMIT 50';
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$table = [
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'legende' => 'trouvée##',
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'values' => HelperAdmin::queryOnNewName($req)
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];
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// Charger les objets concernés
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$mesImages = ImageObject::chargerMultiple($table['values'], RessourceObject::SEARCH_BY_NAME);
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?>
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<?php if (!empty($message)) : ?>
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<div class="alert alert-success">
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<?= $message ?>
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</div>
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<?php endif; ?>
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<div class="card">
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<div class="card-header">
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<?= count($table['values']) ?> image<?= (count($table['values']) > 1 ? 's' : '') . ' ' . str_replace('##', (count($table['values']) > 1 ? 's' : ''), $table['legende']) ?>
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</div>
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<div class="card-body">
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<table class="table">
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<thead>
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<tr>
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<th>Image</th>
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<th>Actions</th>
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<th>Date d'envoi</th>
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<th>Catégorisation IA nsfwjs</th>
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</tr>
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</thead>
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<tbody id="tbody">
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<?php foreach ($mesImages as $uneImage) : ?>
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<tr>
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<td><a href="<?= $uneImage->getURL(true) ?>?forceDisplay=1" target="_blank" style="<?= ($uneImage->isBloquee() ? 'text-decoration: line-through double red;' : '') . ($uneImage->isApprouvee() ? 'text-decoration: underline double green;' : '') ?>"><?= $uneImage->getNomNouveau() ?></a></td>
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<td>
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<a href="<?= _URL_ADMIN_ ?>lastUpload.php?approuver=1&idImage=<?= $uneImage->getId() ?>" title="Approuver"><span class="bi-hand-thumbs-up-fill" style="color: green"></span></a>
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<a href="<?= _URL_ADMIN_ ?>lastUpload.php?bloquer=1&idImage=<?= $uneImage->getId() ?>" title="Bloquer"><span class="bi-hand-thumbs-down-fill" style="color: red"></span></a>
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</td>
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<td><?= $uneImage->getDateEnvoiFormatee() ?></td>
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<td></td>
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</tr>
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<?php endforeach; ?>
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</tbody>
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<tfoot>
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<tr>
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<th>
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<a href="<?= _URL_ADMIN_ ?>nsfwjs.php?nextId=<?= $uneImage->getId() ?>" class="btn btn-primary"><span class="bi-arrow-left"></span> </a>
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</th>
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</tr>
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</tfoot>
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</table>
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</div>
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</div>
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js"></script>
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<script type="text/javascript" src="https://unpkg.com/nsfwjs"></script>
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<script type="module">
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// Forcer le mode "Production" de tensorflow
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tf.enableProdMode();
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// Modèle récupéré de https://github.com/infinitered/nsfwjs/tree/master/example/nsfw_demo/public/quant_mid
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const model = await nsfwjs.load('<?=_URL_ADMIN_ ?>nsfwjs_model_quant_mid/', {type: 'graph'});
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// On itère sur le tableau HTML
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let tabTr = Array.from(document.getElementById("tbody").children);
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for (const unTr of tabTr) {
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let img = new Image();
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// Lien vers l'image
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img.src = unTr.children[0].children[0].href;
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console.log(img.src);
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// Attendre que la ressource soit chargée
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await img.decode();
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// Classify the image -> une seule classification attendue en résultat
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const predictions = await model.classify(img, 1);
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console.log('Predictions: ', predictions);
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// Résultats
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let results = '';
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for (let unType of predictions) {
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results += unType.className + ' -> ' + Math.round(unType.probability * 100) + '%<br />';
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}
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// Injection de la valeur dans la page
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unTr.children[3].innerHTML = results;
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}
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</script>
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<?php require _TPL_BOTTOM_; ?>
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