mirror of
https://github.com/immich-app/immich.git
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68f52818ae
* separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
148 lines
4.4 KiB
Dart
Generated
148 lines
4.4 KiB
Dart
Generated
//
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// AUTO-GENERATED FILE, DO NOT MODIFY!
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//
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// @dart=2.12
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// ignore_for_file: unused_element, unused_import
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// ignore_for_file: always_put_required_named_parameters_first
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// ignore_for_file: constant_identifier_names
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// ignore_for_file: lines_longer_than_80_chars
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part of openapi.api;
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class RecognitionConfig {
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/// Returns a new [RecognitionConfig] instance.
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RecognitionConfig({
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required this.enabled,
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required this.maxDistance,
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required this.minFaces,
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required this.minScore,
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required this.modelName,
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this.modelType,
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});
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bool enabled;
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double maxDistance;
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int minFaces;
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double minScore;
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String modelName;
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///
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/// Please note: This property should have been non-nullable! Since the specification file
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/// does not include a default value (using the "default:" property), however, the generated
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/// source code must fall back to having a nullable type.
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/// Consider adding a "default:" property in the specification file to hide this note.
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///
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ModelType? modelType;
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@override
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bool operator ==(Object other) => identical(this, other) || other is RecognitionConfig &&
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other.enabled == enabled &&
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other.maxDistance == maxDistance &&
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other.minFaces == minFaces &&
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other.minScore == minScore &&
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other.modelName == modelName &&
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other.modelType == modelType;
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@override
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int get hashCode =>
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// ignore: unnecessary_parenthesis
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(enabled.hashCode) +
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(maxDistance.hashCode) +
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(minFaces.hashCode) +
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(minScore.hashCode) +
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(modelName.hashCode) +
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(modelType == null ? 0 : modelType!.hashCode);
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@override
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String toString() => 'RecognitionConfig[enabled=$enabled, maxDistance=$maxDistance, minFaces=$minFaces, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
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Map<String, dynamic> toJson() {
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final json = <String, dynamic>{};
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json[r'enabled'] = this.enabled;
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json[r'maxDistance'] = this.maxDistance;
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json[r'minFaces'] = this.minFaces;
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json[r'minScore'] = this.minScore;
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json[r'modelName'] = this.modelName;
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if (this.modelType != null) {
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json[r'modelType'] = this.modelType;
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} else {
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// json[r'modelType'] = null;
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}
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return json;
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}
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/// Returns a new [RecognitionConfig] instance and imports its values from
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/// [value] if it's a [Map], null otherwise.
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// ignore: prefer_constructors_over_static_methods
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static RecognitionConfig? fromJson(dynamic value) {
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if (value is Map) {
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final json = value.cast<String, dynamic>();
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return RecognitionConfig(
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enabled: mapValueOfType<bool>(json, r'enabled')!,
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maxDistance: mapValueOfType<double>(json, r'maxDistance')!,
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minFaces: mapValueOfType<int>(json, r'minFaces')!,
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minScore: mapValueOfType<double>(json, r'minScore')!,
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modelName: mapValueOfType<String>(json, r'modelName')!,
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modelType: ModelType.fromJson(json[r'modelType']),
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);
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}
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return null;
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}
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static List<RecognitionConfig> listFromJson(dynamic json, {bool growable = false,}) {
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final result = <RecognitionConfig>[];
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if (json is List && json.isNotEmpty) {
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for (final row in json) {
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final value = RecognitionConfig.fromJson(row);
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if (value != null) {
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result.add(value);
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}
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}
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}
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return result.toList(growable: growable);
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}
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static Map<String, RecognitionConfig> mapFromJson(dynamic json) {
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final map = <String, RecognitionConfig>{};
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if (json is Map && json.isNotEmpty) {
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json = json.cast<String, dynamic>(); // ignore: parameter_assignments
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for (final entry in json.entries) {
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final value = RecognitionConfig.fromJson(entry.value);
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if (value != null) {
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map[entry.key] = value;
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}
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}
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}
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return map;
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}
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// maps a json object with a list of RecognitionConfig-objects as value to a dart map
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static Map<String, List<RecognitionConfig>> mapListFromJson(dynamic json, {bool growable = false,}) {
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final map = <String, List<RecognitionConfig>>{};
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if (json is Map && json.isNotEmpty) {
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// ignore: parameter_assignments
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json = json.cast<String, dynamic>();
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for (final entry in json.entries) {
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map[entry.key] = RecognitionConfig.listFromJson(entry.value, growable: growable,);
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}
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}
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return map;
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}
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/// The list of required keys that must be present in a JSON.
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static const requiredKeys = <String>{
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'enabled',
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'maxDistance',
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'minFaces',
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'minScore',
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'modelName',
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};
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}
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