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65 lines
2.6 KiB
65 lines
2.6 KiB
__all__: list[str] = []
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import cv2
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import cv2.typing
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import typing as _typing
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# Enumerations
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FLANN_INDEX_TYPE_8U: int
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FLANN_INDEX_TYPE_8S: int
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FLANN_INDEX_TYPE_16U: int
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FLANN_INDEX_TYPE_16S: int
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FLANN_INDEX_TYPE_32S: int
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FLANN_INDEX_TYPE_32F: int
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FLANN_INDEX_TYPE_64F: int
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FLANN_INDEX_TYPE_STRING: int
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FLANN_INDEX_TYPE_BOOL: int
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FLANN_INDEX_TYPE_ALGORITHM: int
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LAST_VALUE_FLANN_INDEX_TYPE: int
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FlannIndexType = int
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"""One of [FLANN_INDEX_TYPE_8U, FLANN_INDEX_TYPE_8S, FLANN_INDEX_TYPE_16U, FLANN_INDEX_TYPE_16S, FLANN_INDEX_TYPE_32S, FLANN_INDEX_TYPE_32F, FLANN_INDEX_TYPE_64F, FLANN_INDEX_TYPE_STRING, FLANN_INDEX_TYPE_BOOL, FLANN_INDEX_TYPE_ALGORITHM, LAST_VALUE_FLANN_INDEX_TYPE]"""
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# Classes
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class Index:
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# Functions
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@_typing.overload
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def __init__(self) -> None: ...
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@_typing.overload
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def __init__(self, features: cv2.typing.MatLike, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
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@_typing.overload
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def __init__(self, features: cv2.UMat, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
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@_typing.overload
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def build(self, features: cv2.typing.MatLike, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
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@_typing.overload
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def build(self, features: cv2.UMat, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
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@_typing.overload
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def knnSearch(self, query: cv2.typing.MatLike, knn: int, indices: cv2.typing.MatLike | None = ..., dists: cv2.typing.MatLike | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
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@_typing.overload
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def knnSearch(self, query: cv2.UMat, knn: int, indices: cv2.UMat | None = ..., dists: cv2.UMat | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
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@_typing.overload
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def radiusSearch(self, query: cv2.typing.MatLike, radius: float, maxResults: int, indices: cv2.typing.MatLike | None = ..., dists: cv2.typing.MatLike | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[int, cv2.typing.MatLike, cv2.typing.MatLike]: ...
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@_typing.overload
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def radiusSearch(self, query: cv2.UMat, radius: float, maxResults: int, indices: cv2.UMat | None = ..., dists: cv2.UMat | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[int, cv2.UMat, cv2.UMat]: ...
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def save(self, filename: str) -> None: ...
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@_typing.overload
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def load(self, features: cv2.typing.MatLike, filename: str) -> bool: ...
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@_typing.overload
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def load(self, features: cv2.UMat, filename: str) -> bool: ...
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def release(self) -> None: ...
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def getDistance(self) -> int: ...
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def getAlgorithm(self) -> int: ...
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