220 lines
7.2 KiB
PHP
220 lines
7.2 KiB
PHP
<?php
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declare(strict_types=1);
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/**
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* @copyright Copyright (c) 2022 Varun Patil <radialapps@gmail.com>
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* @author Varun Patil <radialapps@gmail.com>
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* @license AGPL-3.0-or-later
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License as
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* published by the Free Software Foundation, either version 3 of the
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* License, or (at your option) any later version.
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*
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* This program 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 Affero General Public License for more details.
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*
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* You should have received a copy of the GNU Affero General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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namespace OCA\Memories\ClustersBackend;
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use OCA\Memories\Db\TimelineQuery;
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use OCA\Memories\Util;
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use OCP\DB\QueryBuilder\IQueryBuilder;
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use OCP\IRequest;
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class RecognizeBackend extends Backend
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{
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use PeopleBackendUtils;
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protected TimelineQuery $tq;
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protected IRequest $request;
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public function __construct(TimelineQuery $tq, IRequest $request)
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{
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$this->tq = $tq;
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$this->request = $request;
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}
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public function appName(): string
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{
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return 'Recognize';
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}
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public function isEnabled(): bool
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{
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return Util::recognizeIsEnabled();
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}
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public function transformDays(IQueryBuilder &$query, bool $aggregate): void
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{
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$faceStr = (string) $this->request->getParam('recognize');
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// Get name and uid of face user
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$faceNames = explode('/', $faceStr);
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if (2 !== \count($faceNames)) {
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throw new \Exception('Invalid face query');
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}
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// Starting with Recognize v3.6, the detections are duplicated for each user
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// So we don't need to use the user ID provided by the user, but retain
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// this here for backwards compatibility + API consistency with Face Recognition
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// $faceUid = $faceNames[0];
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$faceName = $faceNames[1];
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if (!$aggregate) {
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// Multiple detections for the same image
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$query->addSelect('rfd.id AS faceid');
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// Face Rect
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if ($this->request->getParam('facerect')) {
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$query->addSelect(
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'rfd.width AS face_w',
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'rfd.height AS face_h',
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'rfd.x AS face_x',
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'rfd.y AS face_y',
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);
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}
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}
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// Join with cluster
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$clusterQuery = null;
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if ('NULL' === $faceName) {
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$clusterQuery = $query->expr()->isNull('rfd.cluster_id');
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} else {
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$nameField = is_numeric($faceName) ? 'rfc.id' : 'rfc.title';
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$query->innerJoin('m', 'recognize_face_clusters', 'rfc', $query->expr()->andX(
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$query->expr()->eq('rfc.user_id', $query->createNamedParameter(Util::getUID())),
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$query->expr()->eq($nameField, $query->createNamedParameter($faceName)),
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));
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$clusterQuery = $query->expr()->eq('rfd.cluster_id', 'rfc.id');
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}
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// Join with detections
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$query->innerJoin('m', 'recognize_face_detections', 'rfd', $query->expr()->andX(
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$query->expr()->eq('rfd.file_id', 'm.fileid'),
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$clusterQuery,
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));
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}
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public function transformDayPhoto(array &$row): void
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{
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// Differentiate Recognize queries from Face Recognition
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if (!isset($row) || !isset($row['face_w'])) {
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return;
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}
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// Convert face rect to object
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$row['facerect'] = [
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'w' => (float) $row['face_w'],
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'h' => (float) $row['face_h'],
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'x' => (float) $row['face_x'],
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'y' => (float) $row['face_y'],
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];
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unset($row['face_w'], $row['face_h'], $row['face_x'], $row['face_y']);
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}
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public function getClusters(): array
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{
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$query = $this->tq->getBuilder();
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// SELECT all face clusters
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$count = $query->func()->count($query->createFunction('DISTINCT m.fileid'), 'count');
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$query->select('rfc.id', 'rfc.user_id', 'rfc.title', $count)->from('recognize_face_clusters', 'rfc');
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// WHERE there are faces with this cluster
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$query->innerJoin('rfc', 'recognize_face_detections', 'rfd', $query->expr()->eq('rfc.id', 'rfd.cluster_id'));
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// WHERE these items are memories indexed photos
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$query->innerJoin('rfd', 'memories', 'm', $query->expr()->eq('m.fileid', 'rfd.file_id'));
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// WHERE these photos are in the user's requested folder recursively
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$query = $this->tq->joinFilecache($query);
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// WHERE this cluster belongs to the user
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$query->where($query->expr()->eq('rfc.user_id', $query->createNamedParameter(Util::getUID())));
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// GROUP by ID of face cluster
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$query->groupBy('rfc.id');
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// ORDER by number of faces in cluster
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$query->orderBy($query->createFunction("rfc.title <> ''"), 'DESC');
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$query->addOrderBy('count', 'DESC');
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$query->addOrderBy('rfc.id'); // tie-breaker
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// FETCH all faces
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$faces = $this->tq->executeQueryWithCTEs($query)->fetchAll() ?: [];
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// Post process
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foreach ($faces as &$row) {
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$row['id'] = (int) $row['id'];
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$row['count'] = (int) $row['count'];
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$row['name'] = $row['title'];
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unset($row['title']);
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}
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return $faces;
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}
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public function getPhotos(string $name, ?int $limit = null): array
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{
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$query = $this->tq->getBuilder();
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// SELECT face detections for ID
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$query->select(
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'rfd.file_id', // Get actual file
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'rfd.x', // Image cropping
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'rfd.y',
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'rfd.width',
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'rfd.height',
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'm.w as image_width', // Scoring
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'm.h as image_height',
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'm.fileid',
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'm.datetaken', // Just in case, for postgres
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)->from('recognize_face_detections', 'rfd');
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// WHERE detection belongs to this cluster
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$query->where($query->expr()->eq('rfd.cluster_id', $query->createNamedParameter($name)));
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// WHERE these photos are memories indexed
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$query->innerJoin('rfd', 'memories', 'm', $query->expr()->eq('m.fileid', 'rfd.file_id'));
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// WHERE these photos are in the user's requested folder recursively
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$query = $this->tq->joinFilecache($query);
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// LIMIT results
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if (null !== $limit) {
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$query->setMaxResults($limit);
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}
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// Sort by date taken so we get recent photos
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$query->orderBy('m.datetaken', 'DESC');
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$query->addOrderBy('m.fileid', 'DESC'); // tie-breaker
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// FETCH face detections
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return $this->tq->executeQueryWithCTEs($query)->fetchAll() ?: [];
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}
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public function sortPhotosForPreview(array &$photos)
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{
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$this->sortByScores($photos);
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}
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public function getPreviewBlob($file, $photo): array
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{
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return $this->cropFace($file, $photo, 1.5);
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}
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public function getPreviewQuality(): int
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{
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return 2048;
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}
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}
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