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