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feat(ml): composable ml (#9973)

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* modularize model classes

* various fixes

* expose port

* change response

* round coordinates

* simplify preload

* update server

* simplify interface

simplify

* update tests

* composable endpoint

* cleanup

fixes

remove unnecessary interface

support text input, cleanup

* ew camelcase

* update server

server fixes

fix typing

* ml fixes

update locustfile

fixes

* cleaner response

* better repo response

* update tests

formatting and typing

rename

* undo compose change

* linting

fix type

actually fix typing

* stricter typing

fix detection-only response

no need for defaultdict

* update spec file

update api

linting

* update e2e

* unnecessary dimension

* remove commented code

* remove duplicate code

* remove unused imports

* add batch dim
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Mert 2024-06-06 23:09:47 -04:00 • committed by GitHub
parent 7a46f80ddc
commit 2b1b43a7e4
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152
mobile/openapi/lib/model/recognition_config.dart generated
View file

@ -1,152 +0,0 @@
//
// AUTO-GENERATED FILE, DO NOT MODIFY!
//
// @dart=2.18
// ignore_for_file: unused_element, unused_import
// ignore_for_file: always_put_required_named_parameters_first
// ignore_for_file: constant_identifier_names
// ignore_for_file: lines_longer_than_80_chars
part of openapi.api;
class RecognitionConfig {
/// Returns a new [RecognitionConfig] instance.
RecognitionConfig({
required this.enabled,
required this.maxDistance,
required this.minFaces,
required this.minScore,
required this.modelName,
this.modelType,
});
bool enabled;
/// Minimum value: 0
/// Maximum value: 2
double maxDistance;
/// Minimum value: 1
int minFaces;
/// Minimum value: 0
/// Maximum value: 1
double minScore;
String modelName;
///
/// Please note: This property should have been non-nullable! Since the specification file
/// does not include a default value (using the "default:" property), however, the generated
/// source code must fall back to having a nullable type.
/// Consider adding a "default:" property in the specification file to hide this note.
///
ModelType? modelType;
@override
bool operator ==(Object other) => identical(this, other) || other is RecognitionConfig &&
other.enabled == enabled &&
other.maxDistance == maxDistance &&
other.minFaces == minFaces &&
other.minScore == minScore &&
other.modelName == modelName &&
other.modelType == modelType;
@override
int get hashCode =>
// ignore: unnecessary_parenthesis
(enabled.hashCode) +
(maxDistance.hashCode) +
(minFaces.hashCode) +
(minScore.hashCode) +
(modelName.hashCode) +
(modelType == null ? 0 : modelType!.hashCode);
@override
String toString() => 'RecognitionConfig[enabled=$enabled, maxDistance=$maxDistance, minFaces=$minFaces, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
Map<String, dynamic> toJson() {
final json = <String, dynamic>{};
json[r'enabled'] = this.enabled;
json[r'maxDistance'] = this.maxDistance;
json[r'minFaces'] = this.minFaces;
json[r'minScore'] = this.minScore;
json[r'modelName'] = this.modelName;
if (this.modelType != null) {
json[r'modelType'] = this.modelType;
} else {
// json[r'modelType'] = null;
}
return json;
}
/// Returns a new [RecognitionConfig] instance and imports its values from
/// [value] if it's a [Map], null otherwise.
// ignore: prefer_constructors_over_static_methods
static RecognitionConfig? fromJson(dynamic value) {
if (value is Map) {
final json = value.cast<String, dynamic>();
return RecognitionConfig(
enabled: mapValueOfType<bool>(json, r'enabled')!,
maxDistance: mapValueOfType<double>(json, r'maxDistance')!,
minFaces: mapValueOfType<int>(json, r'minFaces')!,
minScore: mapValueOfType<double>(json, r'minScore')!,
modelName: mapValueOfType<String>(json, r'modelName')!,
modelType: ModelType.fromJson(json[r'modelType']),
);
}
return null;
}
static List<RecognitionConfig> listFromJson(dynamic json, {bool growable = false,}) {
final result = <RecognitionConfig>[];
if (json is List && json.isNotEmpty) {
for (final row in json) {
final value = RecognitionConfig.fromJson(row);
if (value != null) {
result.add(value);
}
}
}
return result.toList(growable: growable);
}
static Map<String, RecognitionConfig> mapFromJson(dynamic json) {
final map = <String, RecognitionConfig>{};
if (json is Map && json.isNotEmpty) {
json = json.cast<String, dynamic>(); // ignore: parameter_assignments
for (final entry in json.entries) {
final value = RecognitionConfig.fromJson(entry.value);
if (value != null) {
map[entry.key] = value;
}
}
}
return map;
}
// maps a json object with a list of RecognitionConfig-objects as value to a dart map
static Map<String, List<RecognitionConfig>> mapListFromJson(dynamic json, {bool growable = false,}) {
final map = <String, List<RecognitionConfig>>{};
if (json is Map && json.isNotEmpty) {
// ignore: parameter_assignments
json = json.cast<String, dynamic>();
for (final entry in json.entries) {
map[entry.key] = RecognitionConfig.listFromJson(entry.value, growable: growable,);
}
}
return map;
}
/// The list of required keys that must be present in a JSON.
static const requiredKeys = <String>{
'enabled',
'maxDistance',
'minFaces',
'minScore',
'modelName',
};
}