* @author Varun Patil * @license AGPL-3.0-or-later * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU Affero General Public License as * published by the Free Software Foundation, either version 3 of the * License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Affero General Public License for more details. * * You should have received a copy of the GNU Affero General Public License * along with this program. If not, see . */ namespace OCA\Memories\ClustersBackend; use OCA\Memories\Db\TimelineQuery; use OCA\Memories\Util; use OCP\IRequest; class RecognizeBackend extends Backend { use PeopleBackendUtils; protected TimelineQuery $tq; protected IRequest $request; public function __construct(TimelineQuery $tq, IRequest $request) { $this->tq = $tq; $this->request = $request; } public static function appName(): string { return 'Recognize'; } public static function clusterType(): string { return 'recognize'; } public function isEnabled(): bool { return Util::recognizeIsEnabled(); } public function transformDayQuery(&$query, bool $aggregate): void { // Check if Recognize is enabled if (!$this->isEnabled()) { throw \OCA\Memories\Exceptions::NotEnabled('Recognize'); } // Get name and uid of face user $faceStr = (string) $this->request->getParam('recognize'); $faceNames = explode('/', $faceStr); if (2 !== \count($faceNames)) { throw new \Exception('Invalid face query'); } // Starting with Recognize v3.6, the detections are duplicated for each user // So we don't need to use the user ID provided by the user, but retain // this here for backwards compatibility + API consistency with Face Recognition // $faceUid = $faceNames[0]; $faceName = $faceNames[1]; if (!$aggregate) { // Multiple detections for the same image $query->addSelect('rfd.id AS faceid'); // Face Rect if ($this->request->getParam('facerect')) { $query->addSelect( 'rfd.width AS face_w', 'rfd.height AS face_h', 'rfd.x AS face_x', 'rfd.y AS face_y', ); } } // Join with cluster $clusterQuery = null; if ('NULL' === $faceName) { $clusterQuery = $query->expr()->eq('rfd.cluster_id', $query->expr()->literal(-1)); } else { $nameField = is_numeric($faceName) ? 'rfc.id' : 'rfc.title'; $query->innerJoin('m', 'recognize_face_clusters', 'rfc', $query->expr()->andX( $query->expr()->eq('rfc.user_id', $query->createNamedParameter(Util::getUID())), $query->expr()->eq($nameField, $query->createNamedParameter($faceName)), )); $clusterQuery = $query->expr()->eq('rfd.cluster_id', 'rfc.id'); } // Join with detections $query->innerJoin('m', 'recognize_face_detections', 'rfd', $query->expr()->andX( $query->expr()->eq('rfd.file_id', 'm.fileid'), $clusterQuery, )); } public function transformDayPost(array &$row): void { // Differentiate Recognize queries from Face Recognition if (!isset($row) || !isset($row['face_w'])) { return; } // Convert face rect to object $row['facerect'] = [ 'w' => (float) $row['face_w'], 'h' => (float) $row['face_h'], 'x' => (float) $row['face_x'], 'y' => (float) $row['face_y'], ]; unset($row['face_w'], $row['face_h'], $row['face_x'], $row['face_y']); } protected function getClustersI(int $fileid = 0): array { $query = $this->tq->getBuilder(); // SELECT all face clusters $count = $query->func()->count($query->createFunction('DISTINCT m.fileid'), 'count'); $query->select('rfc.id', 'rfc.user_id', 'rfc.title', $count)->from('recognize_face_clusters', 'rfc'); // WHERE there are faces with this cluster $query->innerJoin('rfc', 'recognize_face_detections', 'rfd', $query->expr()->eq('rfc.id', 'rfd.cluster_id')); // WHERE these items are memories indexed photos $query->innerJoin('rfd', 'memories', 'm', $query->expr()->eq('m.fileid', 'rfd.file_id')); // WHERE these photos are in the user's requested folder recursively $query = $this->tq->joinFilecache($query); // WHERE this cluster belongs to the user $query->where($query->expr()->eq('rfc.user_id', $query->createNamedParameter(Util::getUID()))); // WHERE these clusters contain fileid if specified if ($fileid > 0) { $fSq = $this->tq->getBuilder() ->select('rfd.file_id') ->from('recognize_face_detections', 'rfd') ->where($query->expr()->andX( $query->expr()->eq('rfd.cluster_id', 'rfc.id'), $query->expr()->eq('rfd.file_id', $query->createNamedParameter($fileid, \PDO::PARAM_INT)), )) ->getSQL() ; $query->andWhere($query->createFunction("EXISTS ({$fSq})")); } // GROUP by ID of face cluster $query->groupBy('rfc.id'); // ORDER by number of faces in cluster $query->orderBy($query->createFunction("rfc.title <> ''"), 'DESC'); $query->addOrderBy('count', 'DESC'); $query->addOrderBy('rfc.id'); // tie-breaker // FETCH all faces $faces = $this->tq->executeQueryWithCTEs($query)->fetchAll() ?: []; // Post process foreach ($faces as &$row) { $row['id'] = (int) $row['id']; $row['count'] = (int) $row['count']; $row['name'] = $row['title']; unset($row['title']); } return $faces; } public static function getClusterId(array $cluster) { return $cluster['id']; } public function getPhotos(string $name, ?int $limit = null): array { $query = $this->tq->getBuilder(); // SELECT face detections for ID $query->select( 'rfd.file_id', // Get actual file 'rfd.x', // Image cropping 'rfd.y', 'rfd.width', 'rfd.height', 'm.w as image_width', // Scoring 'm.h as image_height', 'm.fileid', 'm.datetaken', // Just in case, for postgres )->from('recognize_face_detections', 'rfd'); // WHERE detection belongs to this cluster $query->where($query->expr()->eq('rfd.cluster_id', $query->createNamedParameter($name))); // WHERE these photos are memories indexed $query->innerJoin('rfd', 'memories', 'm', $query->expr()->eq('m.fileid', 'rfd.file_id')); // WHERE these photos are in the user's requested folder recursively $query = $this->tq->joinFilecache($query); // LIMIT results if (null !== $limit) { $query->setMaxResults($limit); } // Sort by date taken so we get recent photos $query->orderBy('m.datetaken', 'DESC'); $query->addOrderBy('m.fileid', 'DESC'); // tie-breaker // FETCH face detections return $this->tq->executeQueryWithCTEs($query)->fetchAll() ?: []; } public function sortPhotosForPreview(array &$photos) { $this->sortByScores($photos); } public function getPreviewBlob($file, $photo): array { return $this->cropFace($file, $photo, 1.5); } public function getPreviewQuality(): int { return 2048; } }