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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 | |
| def __init__(self) -> None: ... | |
| def __init__(self, tag: str, model: str, weights: str, device: str) -> None: ... | |
| 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 | |
| def params(tag: str, model: str, weights: str, device: str) -> PyParams: ... | |
| def params(tag: str, model: str, device: str) -> PyParams: ... | |
