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immich/machine-learning/app/models/constants.py
Mert 2b1b43a7e4
feat(ml): composable ml (#9973)
* 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
2024-06-07 03:09:47 +00:00

70 lines
1.7 KiB
Python

from app.config import clean_name
from app.schemas import ModelSource
_OPENCLIP_MODELS = {
"RN50__openai",
"RN50__yfcc15m",
"RN50__cc12m",
"RN101__openai",
"RN101__yfcc15m",
"RN50x4__openai",
"RN50x16__openai",
"RN50x64__openai",
"ViT-B-32__openai",
"ViT-B-32__laion2b_e16",
"ViT-B-32__laion400m_e31",
"ViT-B-32__laion400m_e32",
"ViT-B-32__laion2b-s34b-b79k",
"ViT-B-16__openai",
"ViT-B-16__laion400m_e31",
"ViT-B-16__laion400m_e32",
"ViT-B-16-plus-240__laion400m_e31",
"ViT-B-16-plus-240__laion400m_e32",
"ViT-L-14__openai",
"ViT-L-14__laion400m_e31",
"ViT-L-14__laion400m_e32",
"ViT-L-14__laion2b-s32b-b82k",
"ViT-L-14-336__openai",
"ViT-H-14__laion2b-s32b-b79k",
"ViT-g-14__laion2b-s12b-b42k",
"ViT-L-14-quickgelu__dfn2b",
"ViT-H-14-quickgelu__dfn5b",
"ViT-H-14-378-quickgelu__dfn5b",
"XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k",
"nllb-clip-base-siglip__v1",
"nllb-clip-large-siglip__v1",
}
_MCLIP_MODELS = {
"LABSE-Vit-L-14",
"XLM-Roberta-Large-Vit-B-32",
"XLM-Roberta-Large-Vit-B-16Plus",
"XLM-Roberta-Large-Vit-L-14",
}
_INSIGHTFACE_MODELS = {
"antelopev2",
"buffalo_l",
"buffalo_m",
"buffalo_s",
}
SUPPORTED_PROVIDERS = ["CUDAExecutionProvider", "OpenVINOExecutionProvider", "CPUExecutionProvider"]
def get_model_source(model_name: str) -> ModelSource | None:
cleaned_name = clean_name(model_name)
if cleaned_name in _INSIGHTFACE_MODELS:
return ModelSource.INSIGHTFACE
if cleaned_name in _MCLIP_MODELS:
return ModelSource.MCLIP
if cleaned_name in _OPENCLIP_MODELS:
return ModelSource.OPENCLIP
return None