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>
This commit is contained in:
Mert
2023-08-29 09:58:00 -04:00
committed by GitHub
parent 22f5e05060
commit bcc36d14a1
56 changed files with 2324 additions and 655 deletions
@@ -115,6 +115,7 @@ describe(FacialRecognitionService.name, () => {
personMock = newPersonRepositoryMock();
searchMock = newSearchRepositoryMock();
storageMock = newStorageRepositoryMock();
configMock = newSystemConfigRepositoryMock();
mediaMock.crop.mockResolvedValue(croppedFace);
@@ -179,9 +180,18 @@ describe(FacialRecognitionService.name, () => {
machineLearningMock.detectFaces.mockResolvedValue([]);
assetMock.getByIds.mockResolvedValue([assetStub.image]);
await sut.handleRecognizeFaces({ id: assetStub.image.id });
expect(machineLearningMock.detectFaces).toHaveBeenCalledWith('http://immich-machine-learning:3003', {
imagePath: assetStub.image.resizePath,
});
expect(machineLearningMock.detectFaces).toHaveBeenCalledWith(
'http://immich-machine-learning:3003',
{
imagePath: assetStub.image.resizePath,
},
{
enabled: true,
maxDistance: 0.6,
minScore: 0.7,
modelName: 'buffalo_l',
},
);
expect(faceMock.create).not.toHaveBeenCalled();
expect(jobMock.queue).not.toHaveBeenCalled();
});