memories/lib/ClustersBackend/FaceRecognitionBackend.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\Files\SimpleFS\ISimpleFile;
use OCP\IConfig;
use OCP\IRequest;
class FaceRecognitionBackend extends Backend
{
use PeopleBackendUtils;
public function __construct(
protected IRequest $request,
protected TimelineQuery $tq,
protected IConfig $config,
) {}
public static function appName(): string
{
return 'Face Recognition';
}
public static function clusterType(): string
{
return 'facerecognition';
}
public function isEnabled(): bool
{
return Util::facerecognitionIsInstalled()
&& Util::facerecognitionIsEnabled();
}
public function transformDayQuery(IQueryBuilder &$query, bool $aggregate): void
{
$personStr = (string) $this->request->getParam('facerecognition');
// Get title and uid of face user
$personNames = explode('/', $personStr);
if (2 !== \count($personNames)) {
throw new \Exception('Invalid person query');
}
$personUid = $personNames[0];
$personName = $personNames[1];
// Join with images
$query->innerJoin('m', 'facerecog_images', 'fri', $query->expr()->andX(
$query->expr()->eq('fri.file', 'm.fileid'),
$query->expr()->eq('fri.model', $query->createNamedParameter($this->model())),
));
// Join with faces
$query->innerJoin('fri', 'facerecog_faces', 'frf', $query->expr()->eq('frf.image', 'fri.id'));
// Join with persons
$nameField = is_numeric($personName) ? 'frp.id' : 'frp.name';
$query->innerJoin('frf', 'facerecog_persons', 'frp', $query->expr()->andX(
$query->expr()->eq('frf.person', 'frp.id'),
$query->expr()->eq('frp.user', $query->createNamedParameter($personUid)),
$query->expr()->eq($nameField, $query->createNamedParameter($personName)),
));
// Add face rect
if (!$aggregate && $this->request->getParam('facerect')) {
$query->selectAlias('frf.x', 'face_x')
->selectAlias('frf.y', 'face_y')
->selectAlias('frf.width', 'face_width')
->selectAlias('frf.height', 'face_height')
->selectAlias('m.w', 'image_width')
->selectAlias('m.h', 'image_height')
;
}
}
public function transformDayPost(array &$row): void
{
// Differentiate Recognize queries from Face Recognition
if (!isset($row['face_width']) || !isset($row['image_width'])) {
return;
}
// Get percentage position and size
$row['facerect'] = [
'w' => (float) $row['face_width'] / $row['image_width'],
'h' => (float) $row['face_height'] / $row['image_height'],
'x' => (float) $row['face_x'] / $row['image_width'],
'y' => (float) $row['face_y'] / $row['image_height'],
];
unset($row['face_x'], $row['face_y'], $row['face_width'], $row['face_height'], $row['image_height'], $row['image_width']);
}
public function getClustersInternal(int $fileid = 0): array
{
$faces = array_merge(
$this->getFaceRecognitionPersons($fileid),
$this->getFaceRecognitionClusters($fileid),
);
// Post process
foreach ($faces as &$row) {
$row['id'] = $row['name'] ?? (int) $row['id'];
$row['count'] = (int) $row['count'];
}
return $faces;
}
public static function getClusterId(array $cluster): int|string
{
return $cluster['id'];
}
public function getPhotos(string $name, ?int $limit = null): array
{
$query = $this->tq->getBuilder();
// SELECT face detections
$query->select(
'fri.file as file_id', // Get actual file
'frf.x', // Image cropping
'frf.y',
'frf.width',
'frf.height',
'm.w as image_width', // Scoring
'm.h as image_height',
'm.fileid',
'm.datetaken', // Just in case, for postgres
)->from('facerecog_faces', 'frf');
// WHERE faces are from images and current model.
$query->innerJoin('frf', 'facerecog_images', 'fri', $query->expr()->andX(
$query->expr()->eq('fri.id', 'frf.image'),
$query->expr()->eq('fri.model', $query->createNamedParameter($this->model())),
));
// WHERE these photos are memories indexed
$query->innerJoin('fri', 'memories', 'm', $query->expr()->eq('m.fileid', 'fri.file'));
$query->innerJoin('frf', 'facerecog_persons', 'frp', $query->expr()->eq('frp.id', 'frf.person'));
// WHERE faces are from id persons (or a cluster).
$nameField = is_numeric($name) ? 'frp.id' : 'frp.name';
$query->where($query->expr()->eq($nameField, $query->createNamedParameter($name)));
// 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 &$photos): void
{
// Convert to recognize format (percentage position-size)
foreach ($photos as &$p) {
$p['x'] = (float) $p['x'] / (float) $p['image_width'];
$p['y'] = (float) $p['y'] / (float) $p['image_height'];
$p['width'] = (float) $p['width'] / (float) $p['image_width'];
$p['height'] = (float) $p['height'] / (float) $p['image_height'];
}
$this->sortByScores($photos);
}
public function getPreviewBlob(ISimpleFile $file, array $photo): array
{
return $this->cropFace($file, $photo, 1.8);
}
public function getPreviewQuality(): int
{
return 2048;
}
private function model(): int
{
return (int) $this->config->getAppValue('facerecognition', 'model', (string) -1);
}
private function minFaceInClusters(): int
{
return (int) $this->config->getAppValue('facerecognition', 'min_faces_in_cluster', (string) 5);
}
private function getFaceRecognitionClusters(int $fileid = 0): array
{
$query = $this->tq->getBuilder();
// SELECT all face clusters
$count = $query->func()->count($query->createFunction('DISTINCT m.fileid'));
$query->select('frp.id')->from('facerecog_persons', 'frp');
$query->selectAlias($count, 'count');
$query->selectAlias('frp.user', 'user_id');
// WHERE there are faces with this cluster
$query->innerJoin('frp', 'facerecog_faces', 'frf', $query->expr()->eq('frp.id', 'frf.person'));
// WHERE faces are from images.
$query->innerJoin('frf', 'facerecog_images', 'fri', $query->expr()->eq('fri.id', 'frf.image'));
// WHERE these items are memories indexed photos
$query->innerJoin('fri', 'memories', 'm', $query->expr()->andX(
$query->expr()->eq('fri.file', 'm.fileid'),
$query->expr()->eq('fri.model', $query->createNamedParameter($this->model())),
));
// WHERE these photos are in the user's requested folder recursively
$query = $this->tq->joinFilecache($query);
// GROUP by ID of face cluster
$query->groupBy('frp.id');
$query->addGroupBy('frp.user');
$query->where($query->expr()->isNull('frp.name'));
// The query change if we want the people in an fileid, or the unnamed clusters
if ($fileid > 0) {
// WHERE these clusters contain fileid if specified
$query->andWhere($query->expr()->eq('fri.file', $query->createNamedParameter($fileid)));
} else {
// WHERE these clusters has a minimum number of faces
$query->having($query->expr()->gte($count, $query->expr()->literal($this->minFaceInClusters(), \PDO::PARAM_INT)));
// WHERE these clusters were not hidden due inconsistencies
$query->andWhere($query->expr()->eq('frp.is_visible', $query->expr()->literal(1)));
}
// ORDER by number of faces in cluster and id for response stability.
$query->orderBy('count', 'DESC');
$query->addOrderBy('frp.id', 'DESC');
// It is not worth displaying all unnamed clusters. We show 15 to name them progressively,
$query->setMaxResults(15);
// FETCH all faces
return $this->tq->executeQueryWithCTEs($query)->fetchAll() ?: [];
}
private function getFaceRecognitionPersons(int $fileid = 0): array
{
$query = $this->tq->getBuilder();
// SELECT all face clusters
$count = $query->func()->count($query->createFunction('DISTINCT m.fileid'));
$query->select('frp.name')->from('facerecog_persons', 'frp');
$query->selectAlias($count, 'count');
$query->selectAlias('frp.user', 'user_id');
// WHERE there are faces with this cluster
$query->innerJoin('frp', 'facerecog_faces', 'frf', $query->expr()->eq('frp.id', 'frf.person'));
// WHERE faces are from images.
$query->innerJoin('frf', 'facerecog_images', 'fri', $query->expr()->eq('fri.id', 'frf.image'));
// WHERE these items are memories indexed photos
$query->innerJoin('fri', 'memories', 'm', $query->expr()->andX(
$query->expr()->eq('fri.file', 'm.fileid'),
$query->expr()->eq('fri.model', $query->createNamedParameter($this->model())),
));
// WHERE these photos are in the user's requested folder recursively
$query = $this->tq->joinFilecache($query);
// GROUP by name of face clusters
$query->where($query->expr()->isNotNull('frp.name'));
// WHERE these clusters contain fileid if specified
if ($fileid > 0) {
$query->andWhere($query->expr()->eq('fri.file', $query->createNamedParameter($fileid)));
}
$query->groupBy('frp.user');
$query->addGroupBy('frp.name');
// ORDER by number of faces in cluster
$query->orderBy('count', 'DESC');
$query->addOrderBy('frp.name', 'ASC');
// FETCH all faces
return $this->tq->executeQueryWithCTEs($query)->fetchAll() ?: [];
}
}