feat(server): separate face clustering job (#5598)

* 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* remove outdated comment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>
This commit is contained in:
Mert
2024-01-18 00:08:48 -05:00
committed by GitHub
parent 44873b4224
commit 68f52818ae
57 changed files with 1081 additions and 631 deletions

View File

@@ -93,20 +93,24 @@ export class MediaService {
await this.jobRepository.queueAll(jobs);
}
const people = force ? await this.personRepository.getAll() : await this.personRepository.getAllWithoutThumbnail();
const jobs: JobItem[] = [];
for (const person of people) {
if (!person.faceAssetId) {
const face = await this.personRepository.getRandomFace(person.id);
if (!face) {
continue;
const personPagination = usePagination(JOBS_ASSET_PAGINATION_SIZE, (pagination) =>
this.personRepository.getAll(pagination, { where: force ? undefined : { thumbnailPath: '' } }),
);
for await (const people of personPagination) {
for (const person of people) {
if (!person.faceAssetId) {
const face = await this.personRepository.getRandomFace(person.id);
if (!face) {
continue;
}
await this.personRepository.update({ id: person.id, faceAssetId: face.assetId });
}
await this.personRepository.update({ id: person.id, faceAssetId: face.assetId });
jobs.push({ name: JobName.GENERATE_PERSON_THUMBNAIL, data: { id: person.id } });
}
jobs.push({ name: JobName.GENERATE_PERSON_THUMBNAIL, data: { id: person.id } });
}
await this.jobRepository.queueAll(jobs);
@@ -131,11 +135,16 @@ export class MediaService {
);
}
const people = await this.personRepository.getAll();
await this.jobRepository.queueAll(
people.map((person) => ({ name: JobName.MIGRATE_PERSON, data: { id: person.id } })),
const personPagination = usePagination(JOBS_ASSET_PAGINATION_SIZE, (pagination) =>
this.personRepository.getAll(pagination),
);
for await (const people of personPagination) {
await this.jobRepository.queueAll(
people.map((person) => ({ name: JobName.MIGRATE_PERSON, data: { id: person.id } })),
);
}
return true;
}