feat(ml)!: customizable ML settings (#3891)

* 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>

server/src/domain/system-config/system-config.service.spec.ts

@@ -49,9 +49,21 @@ const updatedConfig = Object.freeze<SystemConfig>({
   machineLearning: {
     enabled: true,
     url: 'http://immich-machine-learning:3003',
-    facialRecognitionEnabled: true,
-    tagImageEnabled: true,
-    clipEncodeEnabled: true,
+    classification: {
+      enabled: true,
+      modelName: 'microsoft/resnet-50',
+      minScore: 0.9,
+    },
+    clip: {
+      enabled: true,
+      modelName: 'ViT-B-32::openai',
+    },
+    facialRecognition: {
+      enabled: true,
+      modelName: 'buffalo_l',
+      minScore: 0.7,
+      maxDistance: 0.6,
+    },
   },
   oauth: {
     autoLaunch: true,