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https://github.com/immich-app/immich.git
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87a0ba3db3
* export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
26 lines
1004 B
Python
26 lines
1004 B
Python
from typing import Any
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from app.schemas import ModelType
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from .base import InferenceModel
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from .clip import MCLIPEncoder, OpenCLIPEncoder, is_mclip, is_openclip
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from .facial_recognition import FaceRecognizer
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from .image_classification import ImageClassifier
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def from_model_type(model_type: ModelType, model_name: str, **model_kwargs: Any) -> InferenceModel:
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match model_type:
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case ModelType.CLIP:
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if is_openclip(model_name):
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return OpenCLIPEncoder(model_name, **model_kwargs)
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elif is_mclip(model_name):
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return MCLIPEncoder(model_name, **model_kwargs)
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else:
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raise ValueError(f"Unknown CLIP model {model_name}")
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case ModelType.FACIAL_RECOGNITION:
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return FaceRecognizer(model_name, **model_kwargs)
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case ModelType.IMAGE_CLASSIFICATION:
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return ImageClassifier(model_name, **model_kwargs)
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case _:
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raise ValueError(f"Unknown model type {model_type}")
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