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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api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description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>
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57 changed files with 1081 additions and 631 deletions
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@ -30,7 +30,7 @@ const updatedConfig = Object.freeze<SystemConfig>({
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[QueueName.BACKGROUND_TASK]: { concurrency: 5 },
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[QueueName.SMART_SEARCH]: { concurrency: 2 },
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[QueueName.METADATA_EXTRACTION]: { concurrency: 5 },
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[QueueName.RECOGNIZE_FACES]: { concurrency: 2 },
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[QueueName.FACE_DETECTION]: { concurrency: 2 },
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[QueueName.SEARCH]: { concurrency: 5 },
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[QueueName.SIDECAR]: { concurrency: 5 },
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[QueueName.LIBRARY]: { concurrency: 5 },
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@ -73,7 +73,7 @@ const updatedConfig = Object.freeze<SystemConfig>({
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modelName: 'buffalo_l',
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minScore: 0.7,
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maxDistance: 0.6,
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minFaces: 1,
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minFaces: 3,
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},
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},
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map: {
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