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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: ... | |