memories/lib/ClustersBackend/RecognizeBackend.php

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<?php
declare(strict_types=1);
/**
* @copyright Copyright (c) 2022 Varun Patil <radialapps@gmail.com>
* @author Varun Patil <radialapps@gmail.com>
* @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 <http://www.gnu.org/licenses/>.
*/
namespace OCA\Memories\ClustersBackend;
use OCA\Memories\Db\TimelineQuery;
use OCA\Memories\Util;
use OCP\DB\QueryBuilder\IQueryBuilder;
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 = $request;
}
public function appName(): string
{
return 'Recognize';
}
public function isEnabled(): bool
{
return Util::recognizeIsEnabled();
}
public function transformDays(IQueryBuilder &$query, bool $aggregate): void
{
$faceStr = (string) $this->request->getParam('recognize');
// Get name and uid of face user
$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()->isNull('rfd.cluster_id');
} 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'),
$clusterQuery,
));
}
public function transformDayPhoto(array &$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']);
}
public function getClusters(): 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())));
// 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 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;
}
}