commit
232acfa211
12 changed files with 127 additions and 87 deletions
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@ -35,6 +35,15 @@ class FaceMLDataDB {
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static final FaceMLDataDB instance = FaceMLDataDB._privateConstructor();
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static final _migrationScripts = [
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createFacesTable,
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createFaceClustersTable,
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createClusterPersonTable,
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createClusterSummaryTable,
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createNotPersonFeedbackTable,
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fcClusterIDIndex,
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];
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// only have a single app-wide reference to the database
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static Future<SqliteDatabase>? _sqliteAsyncDBFuture;
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@ -50,17 +59,42 @@ class FaceMLDataDB {
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_logger.info("Opening sqlite_async access: DB path " + databaseDirectory);
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final asyncDBConnection =
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SqliteDatabase(path: databaseDirectory, maxReaders: 2);
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await _onCreate(asyncDBConnection);
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final stopwatch = Stopwatch()..start();
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_logger.info("FaceMLDataDB: Starting migration");
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await _migrate(asyncDBConnection);
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_logger.info(
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"FaceMLDataDB Migration took ${stopwatch.elapsedMilliseconds} ms",
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);
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stopwatch.stop();
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return asyncDBConnection;
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}
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Future<void> _onCreate(SqliteDatabase asyncDBConnection) async {
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await asyncDBConnection.execute(createFacesTable);
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await asyncDBConnection.execute(createFaceClustersTable);
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await asyncDBConnection.execute(createClusterPersonTable);
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await asyncDBConnection.execute(createClusterSummaryTable);
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await asyncDBConnection.execute(createNotPersonFeedbackTable);
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await asyncDBConnection.execute(fcClusterIDIndex);
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Future<void> _migrate(
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SqliteDatabase database,
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) async {
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final result = await database.execute('PRAGMA user_version');
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final currentVersion = result[0]['user_version'] as int;
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final toVersion = _migrationScripts.length;
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if (currentVersion < toVersion) {
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_logger.info("Migrating database from $currentVersion to $toVersion");
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await database.writeTransaction((tx) async {
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for (int i = currentVersion + 1; i <= toVersion; i++) {
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try {
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await tx.execute(_migrationScripts[i - 1]);
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} catch (e) {
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_logger.severe("Error running migration script index ${i - 1}", e);
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rethrow;
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}
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}
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await tx.execute('PRAGMA user_version = $toVersion');
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});
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} else if (currentVersion > toVersion) {
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throw AssertionError(
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"currentVersion($currentVersion) cannot be greater than toVersion($toVersion)",
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);
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}
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}
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// bulkInsertFaces inserts the faces in the database in batches of 1000.
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@ -195,10 +229,10 @@ class FaceMLDataDB {
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final db = await instance.asyncDB;
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await db.execute(deleteFacesTable);
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await db.execute(dropClusterPersonTable);
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await db.execute(dropClusterSummaryTable);
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await db.execute(deletePersonTable);
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await db.execute(dropNotPersonFeedbackTable);
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await db.execute(deleteFaceClustersTable);
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await db.execute(deleteClusterPersonTable);
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await db.execute(deleteClusterSummaryTable);
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await db.execute(deleteNotPersonFeedbackTable);
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}
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Future<Iterable<Uint8List>> getFaceEmbeddingsForCluster(
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@ -734,7 +768,7 @@ class FaceMLDataDB {
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try {
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final db = await instance.asyncDB;
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await db.execute(dropFaceClustersTable);
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await db.execute(deleteFaceClustersTable);
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await db.execute(createFaceClustersTable);
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await db.execute(fcClusterIDIndex);
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} catch (e, s) {
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@ -945,16 +979,15 @@ class FaceMLDataDB {
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if (faces) {
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await db.execute(deleteFacesTable);
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await db.execute(createFacesTable);
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await db.execute(dropFaceClustersTable);
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await db.execute(deleteFaceClustersTable);
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await db.execute(createFaceClustersTable);
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await db.execute(fcClusterIDIndex);
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}
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await db.execute(deletePersonTable);
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await db.execute(dropClusterPersonTable);
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await db.execute(dropNotPersonFeedbackTable);
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await db.execute(dropClusterSummaryTable);
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await db.execute(dropFaceClustersTable);
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await db.execute(deleteClusterPersonTable);
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await db.execute(deleteNotPersonFeedbackTable);
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await db.execute(deleteClusterSummaryTable);
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await db.execute(deleteFaceClustersTable);
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await db.execute(createClusterPersonTable);
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await db.execute(createNotPersonFeedbackTable);
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@ -972,9 +1005,8 @@ class FaceMLDataDB {
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final db = await instance.asyncDB;
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// Drop the tables
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await db.execute(deletePersonTable);
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await db.execute(dropClusterPersonTable);
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await db.execute(dropNotPersonFeedbackTable);
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await db.execute(deleteClusterPersonTable);
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await db.execute(deleteNotPersonFeedbackTable);
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// Recreate the tables
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await db.execute(createClusterPersonTable);
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@ -29,7 +29,7 @@ const createFacesTable = '''CREATE TABLE IF NOT EXISTS $facesTable (
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);
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''';
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const deleteFacesTable = 'DROP TABLE IF EXISTS $facesTable';
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const deleteFacesTable = 'DELETE FROM $facesTable';
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// End of Faces Table Fields & Schema Queries
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//##region Face Clusters Table Fields & Schema Queries
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@ -48,15 +48,9 @@ CREATE TABLE IF NOT EXISTS $faceClustersTable (
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// -- Creating a non-unique index on clusterID for query optimization
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const fcClusterIDIndex =
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'''CREATE INDEX IF NOT EXISTS idx_fcClusterID ON $faceClustersTable($fcClusterID);''';
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const dropFaceClustersTable = 'DROP TABLE IF EXISTS $faceClustersTable';
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const deleteFaceClustersTable = 'DELETE FROM $faceClustersTable';
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//##endregion
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// People Table Fields & Schema Queries
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const personTable = 'person';
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const deletePersonTable = 'DROP TABLE IF EXISTS $personTable';
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//End People Table Fields & Schema Queries
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// Clusters Table Fields & Schema Queries
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const clusterPersonTable = 'cluster_person';
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const personIdColumn = 'person_id';
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@ -69,7 +63,7 @@ CREATE TABLE IF NOT EXISTS $clusterPersonTable (
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PRIMARY KEY($personIdColumn, $clusterIDColumn)
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);
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''';
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const dropClusterPersonTable = 'DROP TABLE IF EXISTS $clusterPersonTable';
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const deleteClusterPersonTable = 'DELETE FROM $clusterPersonTable';
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// End Clusters Table Fields & Schema Queries
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/// Cluster Summary Table Fields & Schema Queries
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@ -85,7 +79,7 @@ CREATE TABLE IF NOT EXISTS $clusterSummaryTable (
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);
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''';
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const dropClusterSummaryTable = 'DROP TABLE IF EXISTS $clusterSummaryTable';
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const deleteClusterSummaryTable = 'DELETE FROM $clusterSummaryTable';
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/// End Cluster Summary Table Fields & Schema Queries
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@ -99,5 +93,5 @@ CREATE TABLE IF NOT EXISTS $notPersonFeedback (
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PRIMARY KEY($personIdColumn, $clusterIDColumn)
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);
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''';
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const dropNotPersonFeedbackTable = 'DROP TABLE IF EXISTS $notPersonFeedback';
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const deleteNotPersonFeedbackTable = 'DELETE FROM $notPersonFeedback';
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// End Clusters Table Fields & Schema Queries
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2
mobile/lib/generated/intl/messages_en.dart
generated
2
mobile/lib/generated/intl/messages_en.dart
generated
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@ -814,7 +814,7 @@ class MessageLookup extends MessageLookupByLibrary {
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MessageLookupByLibrary.simpleMessage("Incorrect recovery key"),
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"indexedItems": MessageLookupByLibrary.simpleMessage("Indexed items"),
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"indexingIsPaused": MessageLookupByLibrary.simpleMessage(
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"Indexing is paused, will automatically resume when device is ready"),
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"Indexing is paused. It will automatically resume when device is ready."),
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"insecureDevice":
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MessageLookupByLibrary.simpleMessage("Insecure device"),
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"installManually":
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4
mobile/lib/generated/l10n.dart
generated
4
mobile/lib/generated/l10n.dart
generated
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@ -8794,10 +8794,10 @@ class S {
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);
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}
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/// `Indexing is paused, will automatically resume when device is ready`
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/// `Indexing is paused. It will automatically resume when device is ready.`
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String get indexingIsPaused {
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return Intl.message(
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'Indexing is paused, will automatically resume when device is ready',
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'Indexing is paused. It will automatically resume when device is ready.',
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name: 'indexingIsPaused',
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desc: '',
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args: [],
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@ -1236,5 +1236,5 @@
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"faceRecognitionIndexingDescription": "Please note that this will result in a higher bandwidth and battery usage until all items are indexed.",
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"foundFaces": "Found faces",
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"clusteringProgress": "Clustering progress",
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"indexingIsPaused": "Indexing is paused, will automatically resume when device is ready"
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}
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"indexingIsPaused": "Indexing is paused. It will automatically resume when device is ready."
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}
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@ -246,17 +246,11 @@ Future<void> _init(bool isBackground, {String via = ''}) async {
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unawaited(SemanticSearchService.instance.init());
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MachineLearningController.instance.init();
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// Can not including existing tf/ml binaries as they are not being built
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// from source.
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// See https://gitlab.com/fdroid/fdroiddata/-/merge_requests/12671#note_1294346819
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if (!UpdateService.instance.isFdroidFlavor()) {
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// unawaited(ObjectDetectionService.instance.init());
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if (flagService.faceSearchEnabled) {
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unawaited(FaceMlService.instance.init());
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} else {
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if (LocalSettings.instance.isFaceIndexingEnabled) {
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unawaited(LocalSettings.instance.toggleFaceIndexing());
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}
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if (flagService.faceSearchEnabled) {
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unawaited(FaceMlService.instance.init());
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} else {
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if (LocalSettings.instance.isFaceIndexingEnabled) {
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unawaited(LocalSettings.instance.toggleFaceIndexing());
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}
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}
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PersonService.init(
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@ -43,6 +43,7 @@ import 'package:photos/services/machine_learning/face_ml/face_ml_result.dart';
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import "package:photos/services/machine_learning/face_ml/person/person_service.dart";
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import 'package:photos/services/machine_learning/file_ml/file_ml.dart';
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import 'package:photos/services/machine_learning/file_ml/remote_fileml_service.dart';
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import "package:photos/services/machine_learning/machine_learning_controller.dart";
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import "package:photos/services/search_service.dart";
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import "package:photos/utils/file_util.dart";
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import 'package:photos/utils/image_ml_isolate.dart';
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@ -99,7 +100,7 @@ class FaceMlService {
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final int _fileDownloadLimit = 5;
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final int _embeddingFetchLimit = 200;
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final int _kForceClusteringFaceCount = 4000;
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final int _kForceClusteringFaceCount = 8000;
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Future<void> init({bool initializeImageMlIsolate = false}) async {
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if (LocalSettings.instance.isFaceIndexingEnabled == false) {
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@ -163,9 +164,16 @@ class FaceMlService {
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pauseIndexingAndClustering();
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}
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});
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if (Platform.isIOS &&
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MachineLearningController.instance.isDeviceHealthy) {
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_logger.info("Starting face indexing and clustering on iOS from init");
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unawaited(indexAndClusterAll());
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}
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_listenIndexOnDiffSync();
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_listenOnPeopleChangedSync();
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_logger.info('init done');
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});
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}
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@ -1016,9 +1024,13 @@ class FaceMlService {
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File? file;
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if (enteFile.fileType == FileType.video) {
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try {
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file = await getThumbnailForUploadedFile(enteFile);
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file = await getThumbnailForUploadedFile(enteFile);
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} on PlatformException catch (e, s) {
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_logger.severe("Could not get thumbnail for $enteFile due to PlatformException", e, s);
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_logger.severe(
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"Could not get thumbnail for $enteFile due to PlatformException",
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e,
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s,
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);
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throw ThumbnailRetrievalException(e.toString(), s);
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}
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} else {
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|
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@ -4,7 +4,6 @@ import "dart:io";
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import "package:battery_info/battery_info_plugin.dart";
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import "package:battery_info/model/android_battery_info.dart";
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import "package:battery_info/model/iso_battery_info.dart";
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import "package:flutter/foundation.dart" show kDebugMode;
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import "package:logging/logging.dart";
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import "package:photos/core/event_bus.dart";
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import "package:photos/events/machine_learning_control_event.dart";
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@ -19,8 +18,7 @@ class MachineLearningController {
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static const kMaximumTemperature = 42; // 42 degree celsius
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static const kMinimumBatteryLevel = 20; // 20%
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static const kDefaultInteractionTimeout =
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kDebugMode ? Duration(seconds: 3) : Duration(seconds: 5);
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static const kDefaultInteractionTimeout = Duration(seconds: 10);
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static const kUnhealthyStates = ["over_heat", "over_voltage", "dead"];
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bool _isDeviceHealthy = true;
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@ -31,6 +29,7 @@ class MachineLearningController {
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bool get isDeviceHealthy => _isDeviceHealthy;
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void init() {
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_logger.info('init called');
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if (Platform.isAndroid) {
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_startInteractionTimer();
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BatteryInfoPlugin()
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@ -47,6 +46,7 @@ class MachineLearningController {
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});
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}
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_fireControlEvent();
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_logger.info('init done');
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}
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void onUserInteraction() {
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|
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@ -89,8 +89,8 @@ class _MachineLearningSettingsPageState
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iconButtonType: IconButtonType.secondary,
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onTap: () {
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Navigator.pop(context);
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Navigator.pop(context);
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Navigator.pop(context);
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if (Navigator.canPop(context)) Navigator.pop(context);
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if (Navigator.canPop(context)) Navigator.pop(context);
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},
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),
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],
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|
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@ -97,7 +97,7 @@ class _AppBarWidgetState extends State<ClusterAppBar> {
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maxLines: 2,
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overflow: TextOverflow.ellipsis,
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),
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actions: kDebugMode ? _getDefaultActions(context) : null,
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actions: _getDefaultActions(context),
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);
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}
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|
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@ -38,12 +38,17 @@ class _PersonClustersPageState extends State<PersonClustersPage> {
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.getClusterFilesForPersonID(widget.person.remoteID),
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builder: (context, snapshot) {
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if (snapshot.hasData) {
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final List<int> keys = snapshot.data!.keys.toList();
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final clusters = snapshot.data!;
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final List<int> keys = clusters.keys.toList();
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// Sort the clusters by the number of files in each cluster, largest first
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keys.sort(
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(b, a) => clusters[a]!.length.compareTo(clusters[b]!.length),
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);
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return ListView.builder(
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itemCount: keys.length,
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itemBuilder: (context, index) {
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final int clusterID = keys[index];
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final List<EnteFile> files = snapshot.data![keys[index]]!;
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final List<EnteFile> files = clusters[clusterID]!;
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return InkWell(
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onTap: () {
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Navigator.of(context).push(
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@ -93,34 +98,37 @@ class _PersonClustersPageState extends State<PersonClustersPage> {
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mainAxisAlignment: MainAxisAlignment.spaceBetween,
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children: <Widget>[
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Text(
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"${snapshot.data![keys[index]]!.length} photos",
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"${files.length} photos",
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style: getEnteTextTheme(context).body,
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),
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GestureDetector(
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onTap: () async {
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try {
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await PersonService.instance
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.removeClusterToPerson(
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personID: widget.person.remoteID,
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clusterID: clusterID,
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);
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_logger.info(
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"Removed cluster $clusterID from person ${widget.person.remoteID}",
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);
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Bus.instance.fire(PeopleChangedEvent());
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setState(() {});
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} catch (e) {
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_logger.severe(
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"removing cluster from person,",
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e,
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);
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}
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},
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child: const Icon(
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CupertinoIcons.minus_circled,
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color: Colors.red,
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),
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),
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(index != 0)
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? GestureDetector(
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onTap: () async {
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try {
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await PersonService.instance
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.removeClusterToPerson(
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personID: widget.person.remoteID,
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clusterID: clusterID,
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);
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_logger.info(
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"Removed cluster $clusterID from person ${widget.person.remoteID}",
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);
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Bus.instance
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.fire(PeopleChangedEvent());
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setState(() {});
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} catch (e) {
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_logger.severe(
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"removing cluster from person,",
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e,
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);
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}
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},
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child: const Icon(
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CupertinoIcons.minus_circled,
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color: Colors.red,
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),
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)
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: const SizedBox.shrink(),
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],
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),
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),
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|
|
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@ -12,7 +12,7 @@ description: ente photos application
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# Read more about iOS versioning at
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# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html
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version: 0.8.110+634
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version: 0.8.112+636
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publish_to: none
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environment:
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|
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Loading…
Reference in a new issue