mirror of
				https://github.com/immich-app/immich.git
				synced 2025-10-26 08:24:27 -04:00 
			
		
		
		
	* consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
		
			
				
	
	
		
			140 lines
		
	
	
		
			4.2 KiB
		
	
	
	
		
			Dart
		
	
	
	
	
		
			Generated
		
	
	
			
		
		
	
	
			140 lines
		
	
	
		
			4.2 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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| 
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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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| 
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| part of openapi.api;
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| 
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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.minScore,
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|     required this.modelName,
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|     this.modelType,
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|   });
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| 
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|   bool enabled;
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| 
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|   int maxDistance;
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| 
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|   int minScore;
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| 
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|   String modelName;
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| 
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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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| 
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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.minScore == minScore &&
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|      other.modelName == modelName &&
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|      other.modelType == modelType;
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| 
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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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|     (minScore.hashCode) +
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|     (modelName.hashCode) +
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|     (modelType == null ? 0 : modelType!.hashCode);
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| 
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|   @override
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|   String toString() => 'RecognitionConfig[enabled=$enabled, maxDistance=$maxDistance, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
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| 
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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'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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| 
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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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| 
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|       return RecognitionConfig(
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|         enabled: mapValueOfType<bool>(json, r'enabled')!,
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|         maxDistance: mapValueOfType<int>(json, r'maxDistance')!,
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|         minScore: mapValueOfType<int>(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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| 
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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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| 
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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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| 
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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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| 
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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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|     'minScore',
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|     'modelName',
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|   };
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| }
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| 
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