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3edc87f684
* fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
46 lines
938 B
Python
46 lines
938 B
Python
from enum import StrEnum
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from typing import Any, Protocol, TypeAlias, TypedDict, TypeGuard
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import numpy as np
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from pydantic import BaseModel
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ndarray_f32: TypeAlias = np.ndarray[int, np.dtype[np.float32]]
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ndarray_i64: TypeAlias = np.ndarray[int, np.dtype[np.int64]]
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ndarray_i32: TypeAlias = np.ndarray[int, np.dtype[np.int32]]
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class TextResponse(BaseModel):
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__root__: str
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class MessageResponse(BaseModel):
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message: str
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class BoundingBox(TypedDict):
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x1: int
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y1: int
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x2: int
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y2: int
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class ModelType(StrEnum):
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CLIP = "clip"
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FACIAL_RECOGNITION = "facial-recognition"
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class HasProfiling(Protocol):
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profiling: dict[str, float]
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class Face(TypedDict):
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boundingBox: BoundingBox
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embedding: ndarray_f32
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imageWidth: int
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imageHeight: int
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score: float
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def has_profiling(obj: Any) -> TypeGuard[HasProfiling]:
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return hasattr(obj, "profiling") and isinstance(obj.profiling, dict)
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