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- import cv2.typing
- import typing
- # Enumerations
- TraitAs_TENSOR: int
- TRAIT_AS_TENSOR: int
- TraitAs_IMAGE: int
- TRAIT_AS_IMAGE: int
- TraitAs = int
- """One of [TraitAs_TENSOR, TRAIT_AS_TENSOR, TraitAs_IMAGE, TRAIT_AS_IMAGE]"""
- Sync: int
- SYNC: int
- Async: int
- ASYNC: int
- InferMode = int
- """One of [Sync, SYNC, Async, ASYNC]"""
- # Classes
- class PyParams:
- # Functions
- @typing.overload
- def __init__(self) -> None: ...
- @typing.overload
- def __init__(self, tag: str, model: str, weights: str, device: str) -> None: ...
- @typing.overload
- def __init__(self, tag: str, model: str, device: str) -> None: ...
- def constInput(self, layer_name: str, data: cv2.typing.MatLike, hint: TraitAs = ...) -> PyParams: ...
- def cfgNumRequests(self, nireq: int) -> PyParams: ...
- def cfgBatchSize(self, size: int) -> PyParams: ...
- # Functions
- @typing.overload
- def params(tag: str, model: str, weights: str, device: str) -> PyParams: ...
- @typing.overload
- def params(tag: str, model: str, device: str) -> PyParams: ...
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