__all__: list[str] = [] import cv2 import cv2.typing import typing as _typing # Enumerations FEATURE_SET_COMPUTE_10: int FEATURE_SET_COMPUTE_11: int FEATURE_SET_COMPUTE_12: int FEATURE_SET_COMPUTE_13: int FEATURE_SET_COMPUTE_20: int FEATURE_SET_COMPUTE_21: int FEATURE_SET_COMPUTE_30: int FEATURE_SET_COMPUTE_32: int FEATURE_SET_COMPUTE_35: int FEATURE_SET_COMPUTE_50: int GLOBAL_ATOMICS: int SHARED_ATOMICS: int NATIVE_DOUBLE: int WARP_SHUFFLE_FUNCTIONS: int DYNAMIC_PARALLELISM: int FeatureSet = int """One of [FEATURE_SET_COMPUTE_10, FEATURE_SET_COMPUTE_11, FEATURE_SET_COMPUTE_12, FEATURE_SET_COMPUTE_13, FEATURE_SET_COMPUTE_20, FEATURE_SET_COMPUTE_21, FEATURE_SET_COMPUTE_30, FEATURE_SET_COMPUTE_32, FEATURE_SET_COMPUTE_35, FEATURE_SET_COMPUTE_50, GLOBAL_ATOMICS, SHARED_ATOMICS, NATIVE_DOUBLE, WARP_SHUFFLE_FUNCTIONS, DYNAMIC_PARALLELISM]""" COLOR_BayerBG2BGR_MHT: int COLOR_BAYER_BG2BGR_MHT: int COLOR_BayerGB2BGR_MHT: int COLOR_BAYER_GB2BGR_MHT: int COLOR_BayerRG2BGR_MHT: int COLOR_BAYER_RG2BGR_MHT: int COLOR_BayerGR2BGR_MHT: int COLOR_BAYER_GR2BGR_MHT: int COLOR_BayerBG2RGB_MHT: int COLOR_BAYER_BG2RGB_MHT: int COLOR_BayerGB2RGB_MHT: int COLOR_BAYER_GB2RGB_MHT: int COLOR_BayerRG2RGB_MHT: int COLOR_BAYER_RG2RGB_MHT: int COLOR_BayerGR2RGB_MHT: int COLOR_BAYER_GR2RGB_MHT: int COLOR_BayerBG2GRAY_MHT: int COLOR_BAYER_BG2GRAY_MHT: int COLOR_BayerGB2GRAY_MHT: int COLOR_BAYER_GB2GRAY_MHT: int COLOR_BayerRG2GRAY_MHT: int COLOR_BAYER_RG2GRAY_MHT: int COLOR_BayerGR2GRAY_MHT: int COLOR_BAYER_GR2GRAY_MHT: int DemosaicTypes = int """One of [COLOR_BayerBG2BGR_MHT, COLOR_BAYER_BG2BGR_MHT, COLOR_BayerGB2BGR_MHT, COLOR_BAYER_GB2BGR_MHT, COLOR_BayerRG2BGR_MHT, COLOR_BAYER_RG2BGR_MHT, COLOR_BayerGR2BGR_MHT, COLOR_BAYER_GR2BGR_MHT, COLOR_BayerBG2RGB_MHT, COLOR_BAYER_BG2RGB_MHT, COLOR_BayerGB2RGB_MHT, COLOR_BAYER_GB2RGB_MHT, COLOR_BayerRG2RGB_MHT, COLOR_BAYER_RG2RGB_MHT, COLOR_BayerGR2RGB_MHT, COLOR_BAYER_GR2RGB_MHT, COLOR_BayerBG2GRAY_MHT, COLOR_BAYER_BG2GRAY_MHT, COLOR_BayerGB2GRAY_MHT, COLOR_BAYER_GB2GRAY_MHT, COLOR_BayerRG2GRAY_MHT, COLOR_BAYER_RG2GRAY_MHT, COLOR_BayerGR2GRAY_MHT, COLOR_BAYER_GR2GRAY_MHT]""" ALPHA_OVER: int ALPHA_IN: int ALPHA_OUT: int ALPHA_ATOP: int ALPHA_XOR: int ALPHA_PLUS: int ALPHA_OVER_PREMUL: int ALPHA_IN_PREMUL: int ALPHA_OUT_PREMUL: int ALPHA_ATOP_PREMUL: int ALPHA_XOR_PREMUL: int ALPHA_PLUS_PREMUL: int ALPHA_PREMUL: int AlphaCompTypes = int """One of [ALPHA_OVER, ALPHA_IN, ALPHA_OUT, ALPHA_ATOP, ALPHA_XOR, ALPHA_PLUS, ALPHA_OVER_PREMUL, ALPHA_IN_PREMUL, ALPHA_OUT_PREMUL, ALPHA_ATOP_PREMUL, ALPHA_XOR_PREMUL, ALPHA_PLUS_PREMUL, ALPHA_PREMUL]""" CCL_DEFAULT: int CCL_BKE: int ConnectedComponentsAlgorithmsTypes = int """One of [CCL_DEFAULT, CCL_BKE]""" FIRST_ORDER_MOMENTS: int SECOND_ORDER_MOMENTS: int THIRD_ORDER_MOMENTS: int MomentsOrder = int """One of [FIRST_ORDER_MOMENTS, SECOND_ORDER_MOMENTS, THIRD_ORDER_MOMENTS]""" HostMem_PAGE_LOCKED: int HOST_MEM_PAGE_LOCKED: int HostMem_SHARED: int HOST_MEM_SHARED: int HostMem_WRITE_COMBINED: int HOST_MEM_WRITE_COMBINED: int HostMem_AllocType = int """One of [HostMem_PAGE_LOCKED, HOST_MEM_PAGE_LOCKED, HostMem_SHARED, HOST_MEM_SHARED, HostMem_WRITE_COMBINED, HOST_MEM_WRITE_COMBINED]""" Event_DEFAULT: int EVENT_DEFAULT: int Event_BLOCKING_SYNC: int EVENT_BLOCKING_SYNC: int Event_DISABLE_TIMING: int EVENT_DISABLE_TIMING: int Event_INTERPROCESS: int EVENT_INTERPROCESS: int Event_CreateFlags = int """One of [Event_DEFAULT, EVENT_DEFAULT, Event_BLOCKING_SYNC, EVENT_BLOCKING_SYNC, Event_DISABLE_TIMING, EVENT_DISABLE_TIMING, Event_INTERPROCESS, EVENT_INTERPROCESS]""" DeviceInfo_ComputeModeDefault: int DEVICE_INFO_COMPUTE_MODE_DEFAULT: int DeviceInfo_ComputeModeExclusive: int DEVICE_INFO_COMPUTE_MODE_EXCLUSIVE: int DeviceInfo_ComputeModeProhibited: int DEVICE_INFO_COMPUTE_MODE_PROHIBITED: int DeviceInfo_ComputeModeExclusiveProcess: int DEVICE_INFO_COMPUTE_MODE_EXCLUSIVE_PROCESS: int DeviceInfo_ComputeMode = int """One of [DeviceInfo_ComputeModeDefault, DEVICE_INFO_COMPUTE_MODE_DEFAULT, DeviceInfo_ComputeModeExclusive, DEVICE_INFO_COMPUTE_MODE_EXCLUSIVE, DeviceInfo_ComputeModeProhibited, DEVICE_INFO_COMPUTE_MODE_PROHIBITED, DeviceInfo_ComputeModeExclusiveProcess, DEVICE_INFO_COMPUTE_MODE_EXCLUSIVE_PROCESS]""" SURF_CUDA_X_ROW: int SURF_CUDA_Y_ROW: int SURF_CUDA_LAPLACIAN_ROW: int SURF_CUDA_OCTAVE_ROW: int SURF_CUDA_SIZE_ROW: int SURF_CUDA_ANGLE_ROW: int SURF_CUDA_HESSIAN_ROW: int SURF_CUDA_ROWS_COUNT: int SURF_CUDA_KeypointLayout = int """One of [SURF_CUDA_X_ROW, SURF_CUDA_Y_ROW, SURF_CUDA_LAPLACIAN_ROW, SURF_CUDA_OCTAVE_ROW, SURF_CUDA_SIZE_ROW, SURF_CUDA_ANGLE_ROW, SURF_CUDA_HESSIAN_ROW, SURF_CUDA_ROWS_COUNT]""" NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_UNDEFINED: int NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_UNDEFINED: int NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_SLOW: int NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_SLOW: int NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_MEDIUM: int NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_MEDIUM: int NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_FAST: int NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_FAST: int NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_MAX: int NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_MAX: int NvidiaOpticalFlow_1_0_NVIDIA_OF_PERF_LEVEL = int """One of [NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_UNDEFINED, NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_UNDEFINED, NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_SLOW, NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_SLOW, NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_MEDIUM, NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_MEDIUM, NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_FAST, NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_FAST, NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_MAX, NVIDIA_OPTICAL_FLOW_1_0_NV_OF_PERF_LEVEL_MAX]""" NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_UNDEFINED: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_UNDEFINED: int NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_SLOW: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_SLOW: int NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_MEDIUM: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_MEDIUM: int NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_FAST: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_FAST: int NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_MAX: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_MAX: int NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL = int """One of [NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_UNDEFINED, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_UNDEFINED, NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_SLOW, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_SLOW, NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_MEDIUM, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_MEDIUM, NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_FAST, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_FAST, NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_MAX, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_PERF_LEVEL_MAX]""" NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_UNDEFINED: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_UNDEFINED: int NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_1: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_1: int NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_2: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_2: int NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_4: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_4: int NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_MAX: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_MAX: int NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE = int """One of [NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_UNDEFINED, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_UNDEFINED, NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_1, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_1, NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_2, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_2, NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_4, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_4, NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_MAX, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_MAX]""" NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_UNDEFINED: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_UNDEFINED: int NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_1: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_1: int NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_2: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_2: int NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_4: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_4: int NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_8: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_8: int NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_MAX: int NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_MAX: int NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE = int """One of [NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_UNDEFINED, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_UNDEFINED, NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_1, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_1, NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_2, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_2, NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_4, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_4, NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_8, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_8, NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_MAX, NVIDIA_OPTICAL_FLOW_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_MAX]""" # Classes class GpuMat: @property def step(self) -> int: ... # Classes class Allocator: ... # Functions @_typing.overload def __init__(self, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, rows: int, cols: int, type: int, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, size: cv2.typing.Size, type: int, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, rows: int, cols: int, type: int, s: cv2.typing.Scalar, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, size: cv2.typing.Size, type: int, s: cv2.typing.Scalar, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, m: GpuMat) -> None: ... @_typing.overload def __init__(self, m: GpuMat, rowRange: cv2.typing.Range, colRange: cv2.typing.Range) -> None: ... @_typing.overload def __init__(self, m: GpuMat, roi: cv2.typing.Rect) -> None: ... @_typing.overload def __init__(self, arr: cv2.typing.MatLike, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, arr: GpuMat, allocator: GpuMat.Allocator = ...) -> None: ... @_typing.overload def __init__(self, arr: cv2.UMat, allocator: GpuMat.Allocator = ...) -> None: ... @staticmethod def defaultAllocator() -> GpuMat.Allocator: ... @staticmethod def setDefaultAllocator(allocator: GpuMat.Allocator) -> None: ... @staticmethod def getStdAllocator() -> GpuMat.Allocator: ... @_typing.overload def create(self, rows: int, cols: int, type: int) -> None: ... @_typing.overload def create(self, size: cv2.typing.Size, type: int) -> None: ... def release(self) -> None: ... def swap(self, mat: GpuMat) -> None: ... @_typing.overload def upload(self, arr: cv2.typing.MatLike) -> None: ... @_typing.overload def upload(self, arr: GpuMat) -> None: ... @_typing.overload def upload(self, arr: cv2.UMat) -> None: ... @_typing.overload def upload(self, arr: cv2.typing.MatLike, stream: Stream) -> None: ... @_typing.overload def upload(self, arr: GpuMat, stream: Stream) -> None: ... @_typing.overload def upload(self, arr: cv2.UMat, stream: Stream) -> None: ... @_typing.overload def download(self, dst: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def download(self, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def download(self, dst: cv2.UMat | None = ...) -> cv2.UMat: ... @_typing.overload def download(self, stream: Stream, dst: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def download(self, stream: Stream, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def download(self, stream: Stream, dst: cv2.UMat | None = ...) -> cv2.UMat: ... def clone(self) -> GpuMat: ... @_typing.overload def copyTo(self, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def copyTo(self, stream: Stream, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def copyTo(self, mask: GpuMat, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def copyTo(self, mask: GpuMat, stream: Stream, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, stream: Stream) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, mask: cv2.typing.MatLike) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, mask: GpuMat) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, mask: cv2.UMat) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, mask: cv2.typing.MatLike, stream: Stream) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, mask: GpuMat, stream: Stream) -> GpuMat: ... @_typing.overload def setTo(self, s: cv2.typing.Scalar, mask: cv2.UMat, stream: Stream) -> GpuMat: ... @_typing.overload def convertTo(self, rtype: int, stream: Stream, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def convertTo(self, rtype: int, dst: GpuMat | None = ..., alpha: float = ..., beta: float = ...) -> GpuMat: ... @_typing.overload def convertTo(self, rtype: int, alpha: float, beta: float, stream: Stream, dst: GpuMat | None = ...) -> GpuMat: ... def assignTo(self, m: GpuMat, type: int = ...) -> None: ... def row(self, y: int) -> GpuMat: ... def col(self, x: int) -> GpuMat: ... @_typing.overload def rowRange(self, startrow: int, endrow: int) -> GpuMat: ... @_typing.overload def rowRange(self, r: cv2.typing.Range) -> GpuMat: ... @_typing.overload def colRange(self, startcol: int, endcol: int) -> GpuMat: ... @_typing.overload def colRange(self, r: cv2.typing.Range) -> GpuMat: ... def reshape(self, cn: int, rows: int = ...) -> GpuMat: ... def locateROI(self, wholeSize: cv2.typing.Size, ofs: cv2.typing.Point) -> None: ... def adjustROI(self, dtop: int, dbottom: int, dleft: int, dright: int) -> GpuMat: ... def isContinuous(self) -> bool: ... def elemSize(self) -> int: ... def elemSize1(self) -> int: ... def type(self) -> int: ... def depth(self) -> int: ... def channels(self) -> int: ... def step1(self) -> int: ... def size(self) -> cv2.typing.Size: ... def empty(self) -> bool: ... def cudaPtr(self) -> cv2.typing.IntPointer: ... def updateContinuityFlag(self) -> None: ... class GpuData: ... class GpuMatND: ... class BufferPool: # Functions def __init__(self, stream: Stream) -> None: ... @_typing.overload def getBuffer(self, rows: int, cols: int, type: int) -> GpuMat: ... @_typing.overload def getBuffer(self, size: cv2.typing.Size, type: int) -> GpuMat: ... def getAllocator(self) -> GpuMat.Allocator: ... class HostMem: @property def step(self) -> int: ... # Functions @_typing.overload def __init__(self, alloc_type: HostMem_AllocType = ...) -> None: ... @_typing.overload def __init__(self, rows: int, cols: int, type: int, alloc_type: HostMem_AllocType = ...) -> None: ... @_typing.overload def __init__(self, size: cv2.typing.Size, type: int, alloc_type: HostMem_AllocType = ...) -> None: ... @_typing.overload def __init__(self, arr: cv2.typing.MatLike, alloc_type: HostMem_AllocType = ...) -> None: ... @_typing.overload def __init__(self, arr: GpuMat, alloc_type: HostMem_AllocType = ...) -> None: ... @_typing.overload def __init__(self, arr: cv2.UMat, alloc_type: HostMem_AllocType = ...) -> None: ... def swap(self, b: HostMem) -> None: ... def clone(self) -> HostMem: ... def create(self, rows: int, cols: int, type: int) -> None: ... def reshape(self, cn: int, rows: int = ...) -> HostMem: ... def createMatHeader(self) -> cv2.typing.MatLike: ... def isContinuous(self) -> bool: ... def elemSize(self) -> int: ... def elemSize1(self) -> int: ... def type(self) -> int: ... def depth(self) -> int: ... def channels(self) -> int: ... def step1(self) -> int: ... def size(self) -> cv2.typing.Size: ... def empty(self) -> bool: ... class Stream: # Functions @_typing.overload def __init__(self) -> None: ... @_typing.overload def __init__(self, allocator: GpuMat.Allocator) -> None: ... @_typing.overload def __init__(self, cudaFlags: int) -> None: ... def queryIfComplete(self) -> bool: ... def waitForCompletion(self) -> None: ... def waitEvent(self, event: Event) -> None: ... @classmethod def Null(cls) -> Stream: ... def cudaPtr(self) -> cv2.typing.IntPointer: ... class Event: # Functions def __init__(self, flags: Event_CreateFlags = ...) -> None: ... def record(self, stream: Stream = ...) -> None: ... def queryIfComplete(self) -> bool: ... def waitForCompletion(self) -> None: ... @staticmethod def elapsedTime(start: Event, end: Event) -> float: ... class TargetArchs: # Functions @staticmethod def has(major: int, minor: int) -> bool: ... @staticmethod def hasPtx(major: int, minor: int) -> bool: ... @staticmethod def hasBin(major: int, minor: int) -> bool: ... @staticmethod def hasEqualOrLessPtx(major: int, minor: int) -> bool: ... @staticmethod def hasEqualOrGreater(major: int, minor: int) -> bool: ... @staticmethod def hasEqualOrGreaterPtx(major: int, minor: int) -> bool: ... @staticmethod def hasEqualOrGreaterBin(major: int, minor: int) -> bool: ... class DeviceInfo: # Functions @_typing.overload def __init__(self) -> None: ... @_typing.overload def __init__(self, device_id: int) -> None: ... def deviceID(self) -> int: ... def totalGlobalMem(self) -> int: ... def sharedMemPerBlock(self) -> int: ... def regsPerBlock(self) -> int: ... def warpSize(self) -> int: ... def memPitch(self) -> int: ... def maxThreadsPerBlock(self) -> int: ... def maxThreadsDim(self) -> cv2.typing.Vec3i: ... def maxGridSize(self) -> cv2.typing.Vec3i: ... def clockRate(self) -> int: ... def totalConstMem(self) -> int: ... def majorVersion(self) -> int: ... def minorVersion(self) -> int: ... def textureAlignment(self) -> int: ... def texturePitchAlignment(self) -> int: ... def multiProcessorCount(self) -> int: ... def kernelExecTimeoutEnabled(self) -> bool: ... def integrated(self) -> bool: ... def canMapHostMemory(self) -> bool: ... def computeMode(self) -> DeviceInfo_ComputeMode: ... def maxTexture1D(self) -> int: ... def maxTexture1DMipmap(self) -> int: ... def maxTexture1DLinear(self) -> int: ... def maxTexture2D(self) -> cv2.typing.Vec2i: ... def maxTexture2DMipmap(self) -> cv2.typing.Vec2i: ... def maxTexture2DLinear(self) -> cv2.typing.Vec3i: ... def maxTexture2DGather(self) -> cv2.typing.Vec2i: ... def maxTexture3D(self) -> cv2.typing.Vec3i: ... def maxTextureCubemap(self) -> int: ... def maxTexture1DLayered(self) -> cv2.typing.Vec2i: ... def maxTexture2DLayered(self) -> cv2.typing.Vec3i: ... def maxTextureCubemapLayered(self) -> cv2.typing.Vec2i: ... def maxSurface1D(self) -> int: ... def maxSurface2D(self) -> cv2.typing.Vec2i: ... def maxSurface3D(self) -> cv2.typing.Vec3i: ... def maxSurface1DLayered(self) -> cv2.typing.Vec2i: ... def maxSurface2DLayered(self) -> cv2.typing.Vec3i: ... def maxSurfaceCubemap(self) -> int: ... def maxSurfaceCubemapLayered(self) -> cv2.typing.Vec2i: ... def surfaceAlignment(self) -> int: ... def concurrentKernels(self) -> bool: ... def ECCEnabled(self) -> bool: ... def pciBusID(self) -> int: ... def pciDeviceID(self) -> int: ... def pciDomainID(self) -> int: ... def tccDriver(self) -> bool: ... def asyncEngineCount(self) -> int: ... def unifiedAddressing(self) -> bool: ... def memoryClockRate(self) -> int: ... def memoryBusWidth(self) -> int: ... def l2CacheSize(self) -> int: ... def maxThreadsPerMultiProcessor(self) -> int: ... def queryMemory(self, totalMemory: int, freeMemory: int) -> None: ... def freeMemory(self) -> int: ... def totalMemory(self) -> int: ... def isCompatible(self) -> bool: ... class LookUpTable(cv2.Algorithm): # Functions @_typing.overload def transform(self, src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def transform(self, src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def transform(self, src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... class DFT(cv2.Algorithm): # Functions @_typing.overload def compute(self, image: cv2.typing.MatLike, result: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, image: GpuMat, result: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def compute(self, image: cv2.UMat, result: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... class Convolution(cv2.Algorithm): # Functions @_typing.overload def convolve(self, image: cv2.typing.MatLike, templ: cv2.typing.MatLike, result: cv2.typing.MatLike | None = ..., ccorr: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def convolve(self, image: GpuMat, templ: GpuMat, result: GpuMat | None = ..., ccorr: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def convolve(self, image: cv2.UMat, templ: cv2.UMat, result: cv2.UMat | None = ..., ccorr: bool = ..., stream: Stream = ...) -> cv2.UMat: ... class Filter(cv2.Algorithm): # Functions @_typing.overload def apply(self, src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def apply(self, src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... class CLAHE(cv2.CLAHE): # Functions @_typing.overload def apply(self, src: cv2.typing.MatLike, stream: Stream, dst: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, src: GpuMat, stream: Stream, dst: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def apply(self, src: cv2.UMat, stream: Stream, dst: cv2.UMat | None = ...) -> cv2.UMat: ... class CannyEdgeDetector(cv2.Algorithm): # Functions @_typing.overload def detect(self, image: cv2.typing.MatLike, edges: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, image: GpuMat, edges: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detect(self, image: cv2.UMat, edges: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def detect(self, dx: cv2.typing.MatLike, dy: cv2.typing.MatLike, edges: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, dx: GpuMat, dy: GpuMat, edges: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detect(self, dx: cv2.UMat, dy: cv2.UMat, edges: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def setLowThreshold(self, low_thresh: float) -> None: ... def getLowThreshold(self) -> float: ... def setHighThreshold(self, high_thresh: float) -> None: ... def getHighThreshold(self) -> float: ... def setAppertureSize(self, apperture_size: int) -> None: ... def getAppertureSize(self) -> int: ... def setL2Gradient(self, L2gradient: bool) -> None: ... def getL2Gradient(self) -> bool: ... class HoughLinesDetector(cv2.Algorithm): # Functions @_typing.overload def detect(self, src: cv2.typing.MatLike, lines: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, src: GpuMat, lines: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detect(self, src: cv2.UMat, lines: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def downloadResults(self, d_lines: cv2.typing.MatLike, h_lines: cv2.typing.MatLike | None = ..., h_votes: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def downloadResults(self, d_lines: GpuMat, h_lines: GpuMat | None = ..., h_votes: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def downloadResults(self, d_lines: cv2.UMat, h_lines: cv2.UMat | None = ..., h_votes: cv2.UMat | None = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... def setRho(self, rho: float) -> None: ... def getRho(self) -> float: ... def setTheta(self, theta: float) -> None: ... def getTheta(self) -> float: ... def setThreshold(self, threshold: int) -> None: ... def getThreshold(self) -> int: ... def setDoSort(self, doSort: bool) -> None: ... def getDoSort(self) -> bool: ... def setMaxLines(self, maxLines: int) -> None: ... def getMaxLines(self) -> int: ... class HoughSegmentDetector(cv2.Algorithm): # Functions @_typing.overload def detect(self, src: cv2.typing.MatLike, lines: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, src: GpuMat, lines: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detect(self, src: cv2.UMat, lines: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def setRho(self, rho: float) -> None: ... def getRho(self) -> float: ... def setTheta(self, theta: float) -> None: ... def getTheta(self) -> float: ... def setMinLineLength(self, minLineLength: int) -> None: ... def getMinLineLength(self) -> int: ... def setMaxLineGap(self, maxLineGap: int) -> None: ... def getMaxLineGap(self) -> int: ... def setMaxLines(self, maxLines: int) -> None: ... def getMaxLines(self) -> int: ... def setThreshold(self, threshold: int) -> None: ... def getThreshold(self) -> int: ... class HoughCirclesDetector(cv2.Algorithm): # Functions @_typing.overload def detect(self, src: cv2.typing.MatLike, circles: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, src: GpuMat, circles: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detect(self, src: cv2.UMat, circles: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def setDp(self, dp: float) -> None: ... def getDp(self) -> float: ... def setMinDist(self, minDist: float) -> None: ... def getMinDist(self) -> float: ... def setCannyThreshold(self, cannyThreshold: int) -> None: ... def getCannyThreshold(self) -> int: ... def setVotesThreshold(self, votesThreshold: int) -> None: ... def getVotesThreshold(self) -> int: ... def setMinRadius(self, minRadius: int) -> None: ... def getMinRadius(self) -> int: ... def setMaxRadius(self, maxRadius: int) -> None: ... def getMaxRadius(self) -> int: ... def setMaxCircles(self, maxCircles: int) -> None: ... def getMaxCircles(self) -> int: ... class CornernessCriteria(cv2.Algorithm): # Functions @_typing.overload def compute(self, src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def compute(self, src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... class CornersDetector(cv2.Algorithm): # Functions @_typing.overload def detect(self, image: cv2.typing.MatLike, corners: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, image: GpuMat, corners: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detect(self, image: cv2.UMat, corners: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def setMaxCorners(self, maxCorners: int) -> None: ... def setMinDistance(self, minDistance: float) -> None: ... class TemplateMatching(cv2.Algorithm): # Functions @_typing.overload def match(self, image: cv2.typing.MatLike, templ: cv2.typing.MatLike, result: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def match(self, image: GpuMat, templ: GpuMat, result: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def match(self, image: cv2.UMat, templ: cv2.UMat, result: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... class DescriptorMatcher(cv2.Algorithm): # Functions @classmethod def createBFMatcher(cls, normType: int = ...) -> DescriptorMatcher: ... def isMaskSupported(self) -> bool: ... def add(self, descriptors: _typing.Sequence[GpuMat]) -> None: ... def getTrainDescriptors(self) -> _typing.Sequence[GpuMat]: ... def clear(self) -> None: ... def empty(self) -> bool: ... def train(self) -> None: ... @_typing.overload def match(self, queryDescriptors: cv2.typing.MatLike, trainDescriptors: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def match(self, queryDescriptors: GpuMat, trainDescriptors: GpuMat, mask: GpuMat | None = ...) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def match(self, queryDescriptors: cv2.UMat, trainDescriptors: cv2.UMat, mask: cv2.UMat | None = ...) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def match(self, queryDescriptors: cv2.typing.MatLike, masks: _typing.Sequence[GpuMat] | None = ...) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def match(self, queryDescriptors: GpuMat, masks: _typing.Sequence[GpuMat] | None = ...) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def match(self, queryDescriptors: cv2.UMat, masks: _typing.Sequence[GpuMat] | None = ...) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def matchAsync(self, queryDescriptors: cv2.typing.MatLike, trainDescriptors: cv2.typing.MatLike, matches: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def matchAsync(self, queryDescriptors: GpuMat, trainDescriptors: GpuMat, matches: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def matchAsync(self, queryDescriptors: cv2.UMat, trainDescriptors: cv2.UMat, matches: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def matchAsync(self, queryDescriptors: cv2.typing.MatLike, matches: cv2.typing.MatLike | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def matchAsync(self, queryDescriptors: GpuMat, matches: GpuMat | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def matchAsync(self, queryDescriptors: cv2.UMat, matches: cv2.UMat | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def matchConvert(self, gpu_matches: cv2.typing.MatLike) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def matchConvert(self, gpu_matches: GpuMat) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def matchConvert(self, gpu_matches: cv2.UMat) -> _typing.Sequence[cv2.DMatch]: ... @_typing.overload def knnMatch(self, queryDescriptors: cv2.typing.MatLike, trainDescriptors: cv2.typing.MatLike, k: int, mask: cv2.typing.MatLike | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatch(self, queryDescriptors: GpuMat, trainDescriptors: GpuMat, k: int, mask: GpuMat | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatch(self, queryDescriptors: cv2.UMat, trainDescriptors: cv2.UMat, k: int, mask: cv2.UMat | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatch(self, queryDescriptors: cv2.typing.MatLike, k: int, masks: _typing.Sequence[GpuMat] | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatch(self, queryDescriptors: GpuMat, k: int, masks: _typing.Sequence[GpuMat] | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatch(self, queryDescriptors: cv2.UMat, k: int, masks: _typing.Sequence[GpuMat] | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatchAsync(self, queryDescriptors: cv2.typing.MatLike, trainDescriptors: cv2.typing.MatLike, k: int, matches: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def knnMatchAsync(self, queryDescriptors: GpuMat, trainDescriptors: GpuMat, k: int, matches: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def knnMatchAsync(self, queryDescriptors: cv2.UMat, trainDescriptors: cv2.UMat, k: int, matches: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def knnMatchAsync(self, queryDescriptors: cv2.typing.MatLike, k: int, matches: cv2.typing.MatLike | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def knnMatchAsync(self, queryDescriptors: GpuMat, k: int, matches: GpuMat | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def knnMatchAsync(self, queryDescriptors: cv2.UMat, k: int, matches: cv2.UMat | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def knnMatchConvert(self, gpu_matches: cv2.typing.MatLike, compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatchConvert(self, gpu_matches: GpuMat, compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def knnMatchConvert(self, gpu_matches: cv2.UMat, compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatch(self, queryDescriptors: cv2.typing.MatLike, trainDescriptors: cv2.typing.MatLike, maxDistance: float, mask: cv2.typing.MatLike | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatch(self, queryDescriptors: GpuMat, trainDescriptors: GpuMat, maxDistance: float, mask: GpuMat | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatch(self, queryDescriptors: cv2.UMat, trainDescriptors: cv2.UMat, maxDistance: float, mask: cv2.UMat | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatch(self, queryDescriptors: cv2.typing.MatLike, maxDistance: float, masks: _typing.Sequence[GpuMat] | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatch(self, queryDescriptors: GpuMat, maxDistance: float, masks: _typing.Sequence[GpuMat] | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatch(self, queryDescriptors: cv2.UMat, maxDistance: float, masks: _typing.Sequence[GpuMat] | None = ..., compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatchAsync(self, queryDescriptors: cv2.typing.MatLike, trainDescriptors: cv2.typing.MatLike, maxDistance: float, matches: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def radiusMatchAsync(self, queryDescriptors: GpuMat, trainDescriptors: GpuMat, maxDistance: float, matches: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def radiusMatchAsync(self, queryDescriptors: cv2.UMat, trainDescriptors: cv2.UMat, maxDistance: float, matches: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def radiusMatchAsync(self, queryDescriptors: cv2.typing.MatLike, maxDistance: float, matches: cv2.typing.MatLike | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def radiusMatchAsync(self, queryDescriptors: GpuMat, maxDistance: float, matches: GpuMat | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def radiusMatchAsync(self, queryDescriptors: cv2.UMat, maxDistance: float, matches: cv2.UMat | None = ..., masks: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def radiusMatchConvert(self, gpu_matches: cv2.typing.MatLike, compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatchConvert(self, gpu_matches: GpuMat, compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... @_typing.overload def radiusMatchConvert(self, gpu_matches: cv2.UMat, compactResult: bool = ...) -> _typing.Sequence[_typing.Sequence[cv2.DMatch]]: ... class Feature2DAsync(cv2.Feature2D): # Functions @_typing.overload def detectAsync(self, image: cv2.typing.MatLike, keypoints: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detectAsync(self, image: GpuMat, keypoints: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detectAsync(self, image: cv2.UMat, keypoints: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def computeAsync(self, image: cv2.typing.MatLike, keypoints: cv2.typing.MatLike | None = ..., descriptors: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def computeAsync(self, image: GpuMat, keypoints: GpuMat | None = ..., descriptors: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def computeAsync(self, image: cv2.UMat, keypoints: cv2.UMat | None = ..., descriptors: cv2.UMat | None = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def detectAndComputeAsync(self, image: cv2.typing.MatLike, mask: cv2.typing.MatLike, keypoints: cv2.typing.MatLike | None = ..., descriptors: cv2.typing.MatLike | None = ..., useProvidedKeypoints: bool = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def detectAndComputeAsync(self, image: GpuMat, mask: GpuMat, keypoints: GpuMat | None = ..., descriptors: GpuMat | None = ..., useProvidedKeypoints: bool = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def detectAndComputeAsync(self, image: cv2.UMat, mask: cv2.UMat, keypoints: cv2.UMat | None = ..., descriptors: cv2.UMat | None = ..., useProvidedKeypoints: bool = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def convert(self, gpu_keypoints: cv2.typing.MatLike) -> _typing.Sequence[cv2.KeyPoint]: ... @_typing.overload def convert(self, gpu_keypoints: GpuMat) -> _typing.Sequence[cv2.KeyPoint]: ... @_typing.overload def convert(self, gpu_keypoints: cv2.UMat) -> _typing.Sequence[cv2.KeyPoint]: ... class FastFeatureDetector(Feature2DAsync): # Functions @classmethod def create(cls, threshold: int = ..., nonmaxSuppression: bool = ..., type: int = ..., max_npoints: int = ...) -> FastFeatureDetector: ... def setThreshold(self, threshold: int) -> None: ... def setMaxNumPoints(self, max_npoints: int) -> None: ... def getMaxNumPoints(self) -> int: ... class ORB(Feature2DAsync): # Functions @classmethod def create(cls, nfeatures: int = ..., scaleFactor: float = ..., nlevels: int = ..., edgeThreshold: int = ..., firstLevel: int = ..., WTA_K: int = ..., scoreType: int = ..., patchSize: int = ..., fastThreshold: int = ..., blurForDescriptor: bool = ...) -> ORB: ... def setMaxFeatures(self, maxFeatures: int) -> None: ... def getMaxFeatures(self) -> int: ... def setScaleFactor(self, scaleFactor: float) -> None: ... def getScaleFactor(self) -> float: ... def setNLevels(self, nlevels: int) -> None: ... def getNLevels(self) -> int: ... def setEdgeThreshold(self, edgeThreshold: int) -> None: ... def getEdgeThreshold(self) -> int: ... def setFirstLevel(self, firstLevel: int) -> None: ... def getFirstLevel(self) -> int: ... def setWTA_K(self, wta_k: int) -> None: ... def getWTA_K(self) -> int: ... def setScoreType(self, scoreType: int) -> None: ... def getScoreType(self) -> int: ... def setPatchSize(self, patchSize: int) -> None: ... def getPatchSize(self) -> int: ... def setFastThreshold(self, fastThreshold: int) -> None: ... def getFastThreshold(self) -> int: ... def setBlurForDescriptor(self, blurForDescriptor: bool) -> None: ... def getBlurForDescriptor(self) -> bool: ... class StereoBM(cv2.StereoBM): # Functions @_typing.overload def compute(self, left: cv2.typing.MatLike, right: cv2.typing.MatLike, stream: Stream, disparity: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, left: GpuMat, right: GpuMat, stream: Stream, disparity: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def compute(self, left: cv2.UMat, right: cv2.UMat, stream: Stream, disparity: cv2.UMat | None = ...) -> cv2.UMat: ... class StereoBeliefPropagation(cv2.StereoMatcher): # Functions @_typing.overload def compute(self, left: cv2.typing.MatLike, right: cv2.typing.MatLike, stream: Stream, disparity: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, left: GpuMat, right: GpuMat, stream: Stream, disparity: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def compute(self, left: cv2.UMat, right: cv2.UMat, stream: Stream, disparity: cv2.UMat | None = ...) -> cv2.UMat: ... @_typing.overload def compute(self, data: cv2.typing.MatLike, disparity: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, data: GpuMat, disparity: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def compute(self, data: cv2.UMat, disparity: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def getNumIters(self) -> int: ... def setNumIters(self, iters: int) -> None: ... def getNumLevels(self) -> int: ... def setNumLevels(self, levels: int) -> None: ... def getMaxDataTerm(self) -> float: ... def setMaxDataTerm(self, max_data_term: float) -> None: ... def getDataWeight(self) -> float: ... def setDataWeight(self, data_weight: float) -> None: ... def getMaxDiscTerm(self) -> float: ... def setMaxDiscTerm(self, max_disc_term: float) -> None: ... def getDiscSingleJump(self) -> float: ... def setDiscSingleJump(self, disc_single_jump: float) -> None: ... def getMsgType(self) -> int: ... def setMsgType(self, msg_type: int) -> None: ... @staticmethod def estimateRecommendedParams(width: int, height: int, ndisp: int, iters: int, levels: int) -> None: ... class StereoConstantSpaceBP(StereoBeliefPropagation): # Functions def getNrPlane(self) -> int: ... def setNrPlane(self, nr_plane: int) -> None: ... def getUseLocalInitDataCost(self) -> bool: ... def setUseLocalInitDataCost(self, use_local_init_data_cost: bool) -> None: ... @staticmethod def estimateRecommendedParams(width: int, height: int, ndisp: int, iters: int, levels: int, nr_plane: int) -> None: ... class StereoSGM(cv2.StereoSGBM): # Functions @_typing.overload def compute(self, left: cv2.typing.MatLike, right: cv2.typing.MatLike, disparity: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, left: GpuMat, right: GpuMat, disparity: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def compute(self, left: cv2.UMat, right: cv2.UMat, disparity: cv2.UMat | None = ...) -> cv2.UMat: ... @_typing.overload def compute_with_stream(self, left: cv2.typing.MatLike, right: cv2.typing.MatLike, stream: Stream, disparity: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute_with_stream(self, left: GpuMat, right: GpuMat, stream: Stream, disparity: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def compute_with_stream(self, left: cv2.UMat, right: cv2.UMat, stream: Stream, disparity: cv2.UMat | None = ...) -> cv2.UMat: ... class DisparityBilateralFilter(cv2.Algorithm): # Functions @_typing.overload def apply(self, disparity: cv2.typing.MatLike, image: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, disparity: GpuMat, image: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def apply(self, disparity: cv2.UMat, image: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def getNumDisparities(self) -> int: ... def setNumDisparities(self, numDisparities: int) -> None: ... def getRadius(self) -> int: ... def setRadius(self, radius: int) -> None: ... def getNumIters(self) -> int: ... def setNumIters(self, iters: int) -> None: ... def getEdgeThreshold(self) -> float: ... def setEdgeThreshold(self, edge_threshold: float) -> None: ... def getMaxDiscThreshold(self) -> float: ... def setMaxDiscThreshold(self, max_disc_threshold: float) -> None: ... def getSigmaRange(self) -> float: ... def setSigmaRange(self, sigma_range: float) -> None: ... class SURF_CUDA: @property def hessianThreshold(self) -> float: ... @property def nOctaves(self) -> int: ... @property def nOctaveLayers(self) -> int: ... @property def extended(self) -> bool: ... @property def upright(self) -> bool: ... @property def keypointsRatio(self) -> float: ... # Functions @classmethod def create(cls, _hessianThreshold: float, _nOctaves: int = ..., _nOctaveLayers: int = ..., _extended: bool = ..., _keypointsRatio: float = ..., _upright: bool = ...) -> SURF_CUDA: ... def descriptorSize(self) -> int: ... def defaultNorm(self) -> int: ... def downloadKeypoints(self, keypointsGPU: GpuMat) -> _typing.Sequence[cv2.KeyPoint]: ... def detect(self, img: GpuMat, mask: GpuMat, keypoints: GpuMat | None = ...) -> GpuMat: ... def detectWithDescriptors(self, img: GpuMat, mask: GpuMat, keypoints: GpuMat | None = ..., descriptors: GpuMat | None = ..., useProvidedKeypoints: bool = ...) -> tuple[GpuMat, GpuMat]: ... class BackgroundSubtractorMOG(cv2.BackgroundSubtractor): # Functions @_typing.overload def apply(self, image: cv2.typing.MatLike, learningRate: float, stream: Stream, fgmask: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, image: GpuMat, learningRate: float, stream: Stream, fgmask: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def apply(self, image: cv2.UMat, learningRate: float, stream: Stream, fgmask: cv2.UMat | None = ...) -> cv2.UMat: ... def getBackgroundImage(self, stream: Stream, backgroundImage: GpuMat | None = ...) -> GpuMat: ... def getHistory(self) -> int: ... def setHistory(self, nframes: int) -> None: ... def getNMixtures(self) -> int: ... def setNMixtures(self, nmix: int) -> None: ... def getBackgroundRatio(self) -> float: ... def setBackgroundRatio(self, backgroundRatio: float) -> None: ... def getNoiseSigma(self) -> float: ... def setNoiseSigma(self, noiseSigma: float) -> None: ... class BackgroundSubtractorMOG2(cv2.BackgroundSubtractorMOG2): # Functions @_typing.overload def apply(self, image: cv2.typing.MatLike, learningRate: float, stream: Stream, fgmask: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, image: GpuMat, learningRate: float, stream: Stream, fgmask: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def apply(self, image: cv2.UMat, learningRate: float, stream: Stream, fgmask: cv2.UMat | None = ...) -> cv2.UMat: ... def getBackgroundImage(self, stream: Stream, backgroundImage: GpuMat | None = ...) -> GpuMat: ... class HOG(cv2.Algorithm): # Functions @classmethod def create(cls, win_size: cv2.typing.Size = ..., block_size: cv2.typing.Size = ..., block_stride: cv2.typing.Size = ..., cell_size: cv2.typing.Size = ..., nbins: int = ...) -> HOG: ... def setWinSigma(self, win_sigma: float) -> None: ... def getWinSigma(self) -> float: ... def setL2HysThreshold(self, threshold_L2hys: float) -> None: ... def getL2HysThreshold(self) -> float: ... def setGammaCorrection(self, gamma_correction: bool) -> None: ... def getGammaCorrection(self) -> bool: ... def setNumLevels(self, nlevels: int) -> None: ... def getNumLevels(self) -> int: ... def setHitThreshold(self, hit_threshold: float) -> None: ... def getHitThreshold(self) -> float: ... def setWinStride(self, win_stride: cv2.typing.Size) -> None: ... def getWinStride(self) -> cv2.typing.Size: ... def setScaleFactor(self, scale0: float) -> None: ... def getScaleFactor(self) -> float: ... def setGroupThreshold(self, group_threshold: int) -> None: ... def getGroupThreshold(self) -> int: ... def setDescriptorFormat(self, descr_format: cv2.HOGDescriptor_DescriptorStorageFormat) -> None: ... def getDescriptorFormat(self) -> cv2.HOGDescriptor_DescriptorStorageFormat: ... def getDescriptorSize(self) -> int: ... def getBlockHistogramSize(self) -> int: ... @_typing.overload def setSVMDetector(self, detector: cv2.typing.MatLike) -> None: ... @_typing.overload def setSVMDetector(self, detector: GpuMat) -> None: ... @_typing.overload def setSVMDetector(self, detector: cv2.UMat) -> None: ... def getDefaultPeopleDetector(self) -> cv2.typing.MatLike: ... @_typing.overload def detect(self, img: cv2.typing.MatLike) -> tuple[_typing.Sequence[cv2.typing.Point], _typing.Sequence[float]]: ... @_typing.overload def detect(self, img: GpuMat) -> tuple[_typing.Sequence[cv2.typing.Point], _typing.Sequence[float]]: ... @_typing.overload def detect(self, img: cv2.UMat) -> tuple[_typing.Sequence[cv2.typing.Point], _typing.Sequence[float]]: ... @_typing.overload def detectWithoutConf(self, img: cv2.typing.MatLike) -> _typing.Sequence[cv2.typing.Point]: ... @_typing.overload def detectWithoutConf(self, img: GpuMat) -> _typing.Sequence[cv2.typing.Point]: ... @_typing.overload def detectWithoutConf(self, img: cv2.UMat) -> _typing.Sequence[cv2.typing.Point]: ... @_typing.overload def detectMultiScale(self, img: cv2.typing.MatLike) -> tuple[_typing.Sequence[cv2.typing.Rect], _typing.Sequence[float]]: ... @_typing.overload def detectMultiScale(self, img: GpuMat) -> tuple[_typing.Sequence[cv2.typing.Rect], _typing.Sequence[float]]: ... @_typing.overload def detectMultiScale(self, img: cv2.UMat) -> tuple[_typing.Sequence[cv2.typing.Rect], _typing.Sequence[float]]: ... @_typing.overload def detectMultiScaleWithoutConf(self, img: cv2.typing.MatLike) -> _typing.Sequence[cv2.typing.Rect]: ... @_typing.overload def detectMultiScaleWithoutConf(self, img: GpuMat) -> _typing.Sequence[cv2.typing.Rect]: ... @_typing.overload def detectMultiScaleWithoutConf(self, img: cv2.UMat) -> _typing.Sequence[cv2.typing.Rect]: ... @_typing.overload def compute(self, img: cv2.typing.MatLike, descriptors: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def compute(self, img: GpuMat, descriptors: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def compute(self, img: cv2.UMat, descriptors: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... class CascadeClassifier(cv2.Algorithm): # Functions @classmethod def create(cls, filename: str) -> CascadeClassifier: ... def setMaxObjectSize(self, maxObjectSize: cv2.typing.Size) -> None: ... def getMaxObjectSize(self) -> cv2.typing.Size: ... def setMinObjectSize(self, minSize: cv2.typing.Size) -> None: ... def getMinObjectSize(self) -> cv2.typing.Size: ... def setScaleFactor(self, scaleFactor: float) -> None: ... def getScaleFactor(self) -> float: ... def setMinNeighbors(self, minNeighbors: int) -> None: ... def getMinNeighbors(self) -> int: ... def setFindLargestObject(self, findLargestObject: bool) -> None: ... def getFindLargestObject(self) -> bool: ... def setMaxNumObjects(self, maxNumObjects: int) -> None: ... def getMaxNumObjects(self) -> int: ... def getClassifierSize(self) -> cv2.typing.Size: ... @_typing.overload def detectMultiScale(self, image: cv2.typing.MatLike, objects: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def detectMultiScale(self, image: GpuMat, objects: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def detectMultiScale(self, image: cv2.UMat, objects: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def convert(self, objects: _typing.Sequence[cv2.typing.Rect], gpu_objects: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def convert(self, objects: _typing.Sequence[cv2.typing.Rect], gpu_objects: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def convert(self, objects: _typing.Sequence[cv2.typing.Rect], gpu_objects: cv2.UMat | None = ...) -> cv2.UMat: ... class DenseOpticalFlow(cv2.Algorithm): # Functions @_typing.overload def calc(self, I0: cv2.typing.MatLike, I1: cv2.typing.MatLike, flow: cv2.typing.MatLike, stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calc(self, I0: GpuMat, I1: GpuMat, flow: GpuMat, stream: Stream = ...) -> GpuMat: ... @_typing.overload def calc(self, I0: cv2.UMat, I1: cv2.UMat, flow: cv2.UMat, stream: Stream = ...) -> cv2.UMat: ... class SparseOpticalFlow(cv2.Algorithm): # Functions @_typing.overload def calc(self, prevImg: cv2.typing.MatLike, nextImg: cv2.typing.MatLike, prevPts: cv2.typing.MatLike, nextPts: cv2.typing.MatLike, status: cv2.typing.MatLike | None = ..., err: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def calc(self, prevImg: GpuMat, nextImg: GpuMat, prevPts: GpuMat, nextPts: GpuMat, status: GpuMat | None = ..., err: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat, GpuMat]: ... @_typing.overload def calc(self, prevImg: cv2.UMat, nextImg: cv2.UMat, prevPts: cv2.UMat, nextPts: cv2.UMat, status: cv2.UMat | None = ..., err: cv2.UMat | None = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat, cv2.UMat]: ... class NvidiaHWOpticalFlow(cv2.Algorithm): # Functions @_typing.overload def calc(self, inputImage: cv2.typing.MatLike, referenceImage: cv2.typing.MatLike, flow: cv2.typing.MatLike, stream: Stream = ..., hint: cv2.typing.MatLike | None = ..., cost: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def calc(self, inputImage: GpuMat, referenceImage: GpuMat, flow: GpuMat, stream: Stream = ..., hint: GpuMat | None = ..., cost: GpuMat | None = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def calc(self, inputImage: cv2.UMat, referenceImage: cv2.UMat, flow: cv2.UMat, stream: Stream = ..., hint: cv2.UMat | None = ..., cost: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ... def collectGarbage(self) -> None: ... def getGridSize(self) -> int: ... class BroxOpticalFlow(DenseOpticalFlow): # Functions def getFlowSmoothness(self) -> float: ... def setFlowSmoothness(self, alpha: float) -> None: ... def getGradientConstancyImportance(self) -> float: ... def setGradientConstancyImportance(self, gamma: float) -> None: ... def getPyramidScaleFactor(self) -> float: ... def setPyramidScaleFactor(self, scale_factor: float) -> None: ... def getInnerIterations(self) -> int: ... def setInnerIterations(self, inner_iterations: int) -> None: ... def getOuterIterations(self) -> int: ... def setOuterIterations(self, outer_iterations: int) -> None: ... def getSolverIterations(self) -> int: ... def setSolverIterations(self, solver_iterations: int) -> None: ... @classmethod def create(cls, alpha: float = ..., gamma: float = ..., scale_factor: float = ..., inner_iterations: int = ..., outer_iterations: int = ..., solver_iterations: int = ...) -> BroxOpticalFlow: ... class SparsePyrLKOpticalFlow(SparseOpticalFlow): # Functions def getWinSize(self) -> cv2.typing.Size: ... def setWinSize(self, winSize: cv2.typing.Size) -> None: ... def getMaxLevel(self) -> int: ... def setMaxLevel(self, maxLevel: int) -> None: ... def getNumIters(self) -> int: ... def setNumIters(self, iters: int) -> None: ... def getUseInitialFlow(self) -> bool: ... def setUseInitialFlow(self, useInitialFlow: bool) -> None: ... @classmethod def create(cls, winSize: cv2.typing.Size = ..., maxLevel: int = ..., iters: int = ..., useInitialFlow: bool = ...) -> SparsePyrLKOpticalFlow: ... class DensePyrLKOpticalFlow(DenseOpticalFlow): # Functions def getWinSize(self) -> cv2.typing.Size: ... def setWinSize(self, winSize: cv2.typing.Size) -> None: ... def getMaxLevel(self) -> int: ... def setMaxLevel(self, maxLevel: int) -> None: ... def getNumIters(self) -> int: ... def setNumIters(self, iters: int) -> None: ... def getUseInitialFlow(self) -> bool: ... def setUseInitialFlow(self, useInitialFlow: bool) -> None: ... @classmethod def create(cls, winSize: cv2.typing.Size = ..., maxLevel: int = ..., iters: int = ..., useInitialFlow: bool = ...) -> DensePyrLKOpticalFlow: ... class FarnebackOpticalFlow(DenseOpticalFlow): # Functions def getNumLevels(self) -> int: ... def setNumLevels(self, numLevels: int) -> None: ... def getPyrScale(self) -> float: ... def setPyrScale(self, pyrScale: float) -> None: ... def getFastPyramids(self) -> bool: ... def setFastPyramids(self, fastPyramids: bool) -> None: ... def getWinSize(self) -> int: ... def setWinSize(self, winSize: int) -> None: ... def getNumIters(self) -> int: ... def setNumIters(self, numIters: int) -> None: ... def getPolyN(self) -> int: ... def setPolyN(self, polyN: int) -> None: ... def getPolySigma(self) -> float: ... def setPolySigma(self, polySigma: float) -> None: ... def getFlags(self) -> int: ... def setFlags(self, flags: int) -> None: ... @classmethod def create(cls, numLevels: int = ..., pyrScale: float = ..., fastPyramids: bool = ..., winSize: int = ..., numIters: int = ..., polyN: int = ..., polySigma: float = ..., flags: int = ...) -> FarnebackOpticalFlow: ... class OpticalFlowDual_TVL1(DenseOpticalFlow): # Functions def getTau(self) -> float: ... def setTau(self, tau: float) -> None: ... def getLambda(self) -> float: ... def setLambda(self, lambda_: float) -> None: ... def getGamma(self) -> float: ... def setGamma(self, gamma: float) -> None: ... def getTheta(self) -> float: ... def setTheta(self, theta: float) -> None: ... def getNumScales(self) -> int: ... def setNumScales(self, nscales: int) -> None: ... def getNumWarps(self) -> int: ... def setNumWarps(self, warps: int) -> None: ... def getEpsilon(self) -> float: ... def setEpsilon(self, epsilon: float) -> None: ... def getNumIterations(self) -> int: ... def setNumIterations(self, iterations: int) -> None: ... def getScaleStep(self) -> float: ... def setScaleStep(self, scaleStep: float) -> None: ... def getUseInitialFlow(self) -> bool: ... def setUseInitialFlow(self, useInitialFlow: bool) -> None: ... @classmethod def create(cls, tau: float = ..., lambda_: float = ..., theta: float = ..., nscales: int = ..., warps: int = ..., epsilon: float = ..., iterations: int = ..., scaleStep: float = ..., gamma: float = ..., useInitialFlow: bool = ...) -> OpticalFlowDual_TVL1: ... class NvidiaOpticalFlow_1_0(NvidiaHWOpticalFlow): # Functions @_typing.overload def upSampler(self, flow: cv2.typing.MatLike, imageSize: cv2.typing.Size, gridSize: int, upsampledFlow: cv2.typing.MatLike) -> cv2.typing.MatLike: ... @_typing.overload def upSampler(self, flow: GpuMat, imageSize: cv2.typing.Size, gridSize: int, upsampledFlow: GpuMat) -> GpuMat: ... @_typing.overload def upSampler(self, flow: cv2.UMat, imageSize: cv2.typing.Size, gridSize: int, upsampledFlow: cv2.UMat) -> cv2.UMat: ... @classmethod def create(cls, imageSize: cv2.typing.Size, perfPreset: NvidiaOpticalFlow_1_0_NVIDIA_OF_PERF_LEVEL = ..., enableTemporalHints: bool = ..., enableExternalHints: bool = ..., enableCostBuffer: bool = ..., gpuId: int = ..., inputStream: Stream = ..., outputStream: Stream = ...) -> NvidiaOpticalFlow_1_0: ... class NvidiaOpticalFlow_2_0(NvidiaHWOpticalFlow): # Functions @_typing.overload def convertToFloat(self, flow: cv2.typing.MatLike, floatFlow: cv2.typing.MatLike) -> cv2.typing.MatLike: ... @_typing.overload def convertToFloat(self, flow: GpuMat, floatFlow: GpuMat) -> GpuMat: ... @_typing.overload def convertToFloat(self, flow: cv2.UMat, floatFlow: cv2.UMat) -> cv2.UMat: ... @classmethod @_typing.overload def create(cls, imageSize: cv2.typing.Size, perfPreset: NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL = ..., outputGridSize: NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE = ..., hintGridSize: NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE = ..., enableTemporalHints: bool = ..., enableExternalHints: bool = ..., enableCostBuffer: bool = ..., gpuId: int = ..., inputStream: Stream = ..., outputStream: Stream = ...) -> NvidiaOpticalFlow_2_0: ... @classmethod @_typing.overload def create(cls, imageSize: cv2.typing.Size, roiData: _typing.Sequence[cv2.typing.Rect], perfPreset: NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL = ..., outputGridSize: NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE = ..., hintGridSize: NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE = ..., enableTemporalHints: bool = ..., enableExternalHints: bool = ..., enableCostBuffer: bool = ..., gpuId: int = ..., inputStream: Stream = ..., outputStream: Stream = ...) -> NvidiaOpticalFlow_2_0: ... # Functions @_typing.overload def abs(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def abs(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def abs(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def absSum(src: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def absSum(src: GpuMat, mask: GpuMat | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def absSum(src: cv2.UMat, mask: cv2.UMat | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def absdiff(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def absdiff(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def absdiff(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def absdiffWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def absdiffWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def absdiffWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def add(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def add(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def add(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def addWeighted(src1: cv2.typing.MatLike, alpha: float, src2: cv2.typing.MatLike, beta: float, gamma: float, dst: cv2.typing.MatLike | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def addWeighted(src1: GpuMat, alpha: float, src2: GpuMat, beta: float, gamma: float, dst: GpuMat | None = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def addWeighted(src1: cv2.UMat, alpha: float, src2: cv2.UMat, beta: float, gamma: float, dst: cv2.UMat | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def addWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def addWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., mask: GpuMat | None = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def addWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def alphaComp(img1: cv2.typing.MatLike, img2: cv2.typing.MatLike, alpha_op: int, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def alphaComp(img1: GpuMat, img2: GpuMat, alpha_op: int, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def alphaComp(img1: cv2.UMat, img2: cv2.UMat, alpha_op: int, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bilateralFilter(src: cv2.typing.MatLike, kernel_size: int, sigma_color: float, sigma_spatial: float, dst: cv2.typing.MatLike | None = ..., borderMode: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bilateralFilter(src: GpuMat, kernel_size: int, sigma_color: float, sigma_spatial: float, dst: GpuMat | None = ..., borderMode: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bilateralFilter(src: cv2.UMat, kernel_size: int, sigma_color: float, sigma_spatial: float, dst: cv2.UMat | None = ..., borderMode: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_and(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_and(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_and(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_and_with_scalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_and_with_scalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_and_with_scalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_not(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_not(src: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_not(src: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_or(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_or(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_or(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_or_with_scalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_or_with_scalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_or_with_scalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_xor(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_xor(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_xor(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def bitwise_xor_with_scalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def bitwise_xor_with_scalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def bitwise_xor_with_scalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def blendLinear(img1: cv2.typing.MatLike, img2: cv2.typing.MatLike, weights1: cv2.typing.MatLike, weights2: cv2.typing.MatLike, result: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def blendLinear(img1: GpuMat, img2: GpuMat, weights1: GpuMat, weights2: GpuMat, result: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def blendLinear(img1: cv2.UMat, img2: cv2.UMat, weights1: cv2.UMat, weights2: cv2.UMat, result: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def buildWarpAffineMaps(M: cv2.UMat, inverse: bool, dsize: cv2.typing.Size, xmap: GpuMat | None = ..., ymap: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def buildWarpAffineMaps(M: cv2.typing.MatLike, inverse: bool, dsize: cv2.typing.Size, xmap: GpuMat | None = ..., ymap: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def buildWarpPerspectiveMaps(M: cv2.UMat, inverse: bool, dsize: cv2.typing.Size, xmap: GpuMat | None = ..., ymap: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def buildWarpPerspectiveMaps(M: cv2.typing.MatLike, inverse: bool, dsize: cv2.typing.Size, xmap: GpuMat | None = ..., ymap: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def calcAbsSum(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcAbsSum(src: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcAbsSum(src: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def calcHist(src: cv2.typing.MatLike, hist: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcHist(src: GpuMat, hist: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcHist(src: cv2.UMat, hist: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def calcHist(src: cv2.typing.MatLike, mask: cv2.typing.MatLike, hist: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcHist(src: GpuMat, mask: GpuMat, hist: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcHist(src: cv2.UMat, mask: cv2.UMat, hist: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def calcNorm(src: cv2.typing.MatLike, normType: int, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcNorm(src: GpuMat, normType: int, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcNorm(src: cv2.UMat, normType: int, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def calcNormDiff(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., normType: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcNormDiff(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., normType: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcNormDiff(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., normType: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def calcSqrSum(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcSqrSum(src: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcSqrSum(src: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def calcSum(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def calcSum(src: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def calcSum(src: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def cartToPolar(x: cv2.typing.MatLike, y: cv2.typing.MatLike, magnitude: cv2.typing.MatLike | None = ..., angle: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def cartToPolar(x: GpuMat, y: GpuMat, magnitude: GpuMat | None = ..., angle: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def cartToPolar(x: cv2.UMat, y: cv2.UMat, magnitude: cv2.UMat | None = ..., angle: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def cartToPolar(xy: cv2.typing.MatLike, magnitude: cv2.typing.MatLike | None = ..., angle: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def cartToPolar(xy: GpuMat, magnitude: GpuMat | None = ..., angle: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def cartToPolar(xy: cv2.UMat, magnitude: cv2.UMat | None = ..., angle: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def cartToPolar(xy: cv2.typing.MatLike, magnitudeAngle: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def cartToPolar(xy: GpuMat, magnitudeAngle: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def cartToPolar(xy: cv2.UMat, magnitudeAngle: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def compare(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, cmpop: int, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def compare(src1: GpuMat, src2: GpuMat, cmpop: int, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def compare(src1: cv2.UMat, src2: cv2.UMat, cmpop: int, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def compareWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, cmpop: int, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def compareWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, cmpop: int, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def compareWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, cmpop: int, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def connectedComponents(image: cv2.typing.MatLike, labels: cv2.typing.MatLike | None = ..., connectivity: int = ..., ltype: int = ...) -> cv2.typing.MatLike: ... @_typing.overload def connectedComponents(image: GpuMat, labels: GpuMat | None = ..., connectivity: int = ..., ltype: int = ...) -> GpuMat: ... @_typing.overload def connectedComponents(image: cv2.UMat, labels: cv2.UMat | None = ..., connectivity: int = ..., ltype: int = ...) -> cv2.UMat: ... @_typing.overload def connectedComponentsWithAlgorithm(image: cv2.typing.MatLike, connectivity: int, ltype: int, ccltype: ConnectedComponentsAlgorithmsTypes, labels: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def connectedComponentsWithAlgorithm(image: GpuMat, connectivity: int, ltype: int, ccltype: ConnectedComponentsAlgorithmsTypes, labels: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def connectedComponentsWithAlgorithm(image: cv2.UMat, connectivity: int, ltype: int, ccltype: ConnectedComponentsAlgorithmsTypes, labels: cv2.UMat | None = ...) -> cv2.UMat: ... def convertSpatialMoments(spatialMoments: cv2.typing.MatLike, order: MomentsOrder, momentsType: int) -> cv2.typing.Moments: ... @_typing.overload def copyMakeBorder(src: cv2.typing.MatLike, top: int, bottom: int, left: int, right: int, borderType: int, dst: cv2.typing.MatLike | None = ..., value: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def copyMakeBorder(src: GpuMat, top: int, bottom: int, left: int, right: int, borderType: int, dst: GpuMat | None = ..., value: cv2.typing.Scalar = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def copyMakeBorder(src: cv2.UMat, top: int, bottom: int, left: int, right: int, borderType: int, dst: cv2.UMat | None = ..., value: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def countNonZero(src: cv2.typing.MatLike) -> int: ... @_typing.overload def countNonZero(src: GpuMat) -> int: ... @_typing.overload def countNonZero(src: cv2.UMat) -> int: ... @_typing.overload def countNonZero(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def countNonZero(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def countNonZero(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def createBackgroundSubtractorMOG(history: int = ..., nmixtures: int = ..., backgroundRatio: float = ..., noiseSigma: float = ...) -> BackgroundSubtractorMOG: ... def createBackgroundSubtractorMOG2(history: int = ..., varThreshold: float = ..., detectShadows: bool = ...) -> BackgroundSubtractorMOG2: ... def createBoxFilter(srcType: int, dstType: int, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... def createBoxMaxFilter(srcType: int, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... def createBoxMinFilter(srcType: int, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... def createCLAHE(clipLimit: float = ..., tileGridSize: cv2.typing.Size = ...) -> CLAHE: ... def createCannyEdgeDetector(low_thresh: float, high_thresh: float, apperture_size: int = ..., L2gradient: bool = ...) -> CannyEdgeDetector: ... def createColumnSumFilter(srcType: int, dstType: int, ksize: int, anchor: int = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... @_typing.overload def createContinuous(rows: int, cols: int, type: int, arr: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def createContinuous(rows: int, cols: int, type: int, arr: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def createContinuous(rows: int, cols: int, type: int, arr: cv2.UMat | None = ...) -> cv2.UMat: ... def createConvolution(user_block_size: cv2.typing.Size = ...) -> Convolution: ... def createDFT(dft_size: cv2.typing.Size, flags: int) -> DFT: ... def createDerivFilter(srcType: int, dstType: int, dx: int, dy: int, ksize: int, normalize: bool = ..., scale: float = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... def createDisparityBilateralFilter(ndisp: int = ..., radius: int = ..., iters: int = ...) -> DisparityBilateralFilter: ... def createGaussianFilter(srcType: int, dstType: int, ksize: cv2.typing.Size, sigma1: float, sigma2: float = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... def createGeneralizedHoughBallard() -> cv2.GeneralizedHoughBallard: ... def createGeneralizedHoughGuil() -> cv2.GeneralizedHoughGuil: ... def createGoodFeaturesToTrackDetector(srcType: int, maxCorners: int = ..., qualityLevel: float = ..., minDistance: float = ..., blockSize: int = ..., useHarrisDetector: bool = ..., harrisK: float = ...) -> CornersDetector: ... @_typing.overload def createGpuMatFromCudaMemory(rows: int, cols: int, type: int, cudaMemoryAddress: int, step: int = ...) -> GpuMat: ... @_typing.overload def createGpuMatFromCudaMemory(size: cv2.typing.Size, type: int, cudaMemoryAddress: int, step: int = ...) -> GpuMat: ... def createHarrisCorner(srcType: int, blockSize: int, ksize: int, k: float, borderType: int = ...) -> CornernessCriteria: ... def createHoughCirclesDetector(dp: float, minDist: float, cannyThreshold: int, votesThreshold: int, minRadius: int, maxRadius: int, maxCircles: int = ...) -> HoughCirclesDetector: ... def createHoughLinesDetector(rho: float, theta: float, threshold: int, doSort: bool = ..., maxLines: int = ...) -> HoughLinesDetector: ... def createHoughSegmentDetector(rho: float, theta: float, minLineLength: int, maxLineGap: int, maxLines: int = ..., threshold: int = ...) -> HoughSegmentDetector: ... def createLaplacianFilter(srcType: int, dstType: int, ksize: int = ..., scale: float = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... @_typing.overload def createLinearFilter(srcType: int, dstType: int, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... @_typing.overload def createLinearFilter(srcType: int, dstType: int, kernel: GpuMat, anchor: cv2.typing.Point = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... @_typing.overload def createLinearFilter(srcType: int, dstType: int, kernel: cv2.UMat, anchor: cv2.typing.Point = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... @_typing.overload def createLookUpTable(lut: cv2.typing.MatLike) -> LookUpTable: ... @_typing.overload def createLookUpTable(lut: GpuMat) -> LookUpTable: ... @_typing.overload def createLookUpTable(lut: cv2.UMat) -> LookUpTable: ... def createMedianFilter(srcType: int, windowSize: int, partition: int = ...) -> Filter: ... def createMinEigenValCorner(srcType: int, blockSize: int, ksize: int, borderType: int = ...) -> CornernessCriteria: ... @_typing.overload def createMorphologyFilter(op: int, srcType: int, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ...) -> Filter: ... @_typing.overload def createMorphologyFilter(op: int, srcType: int, kernel: GpuMat, anchor: cv2.typing.Point = ..., iterations: int = ...) -> Filter: ... @_typing.overload def createMorphologyFilter(op: int, srcType: int, kernel: cv2.UMat, anchor: cv2.typing.Point = ..., iterations: int = ...) -> Filter: ... def createRowSumFilter(srcType: int, dstType: int, ksize: int, anchor: int = ..., borderMode: int = ..., borderVal: cv2.typing.Scalar = ...) -> Filter: ... def createScharrFilter(srcType: int, dstType: int, dx: int, dy: int, scale: float = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... @_typing.overload def createSeparableLinearFilter(srcType: int, dstType: int, rowKernel: cv2.typing.MatLike, columnKernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... @_typing.overload def createSeparableLinearFilter(srcType: int, dstType: int, rowKernel: GpuMat, columnKernel: GpuMat, anchor: cv2.typing.Point = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... @_typing.overload def createSeparableLinearFilter(srcType: int, dstType: int, rowKernel: cv2.UMat, columnKernel: cv2.UMat, anchor: cv2.typing.Point = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... def createSobelFilter(srcType: int, dstType: int, dx: int, dy: int, ksize: int = ..., scale: float = ..., rowBorderMode: int = ..., columnBorderMode: int = ...) -> Filter: ... def createStereoBM(numDisparities: int = ..., blockSize: int = ...) -> StereoBM: ... def createStereoBeliefPropagation(ndisp: int = ..., iters: int = ..., levels: int = ..., msg_type: int = ...) -> StereoBeliefPropagation: ... def createStereoConstantSpaceBP(ndisp: int = ..., iters: int = ..., levels: int = ..., nr_plane: int = ..., msg_type: int = ...) -> StereoConstantSpaceBP: ... def createStereoSGM(minDisparity: int = ..., numDisparities: int = ..., P1: int = ..., P2: int = ..., uniquenessRatio: int = ..., mode: int = ...) -> StereoSGM: ... def createTemplateMatching(srcType: int, method: int, user_block_size: cv2.typing.Size = ...) -> TemplateMatching: ... @_typing.overload def cvtColor(src: cv2.typing.MatLike, code: int, dst: cv2.typing.MatLike | None = ..., dcn: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def cvtColor(src: GpuMat, code: int, dst: GpuMat | None = ..., dcn: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def cvtColor(src: cv2.UMat, code: int, dst: cv2.UMat | None = ..., dcn: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def demosaicing(src: cv2.typing.MatLike, code: int, dst: cv2.typing.MatLike | None = ..., dcn: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def demosaicing(src: GpuMat, code: int, dst: GpuMat | None = ..., dcn: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def demosaicing(src: cv2.UMat, code: int, dst: cv2.UMat | None = ..., dcn: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def dft(src: cv2.typing.MatLike, dft_size: cv2.typing.Size, dst: cv2.typing.MatLike | None = ..., flags: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def dft(src: GpuMat, dft_size: cv2.typing.Size, dst: GpuMat | None = ..., flags: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def dft(src: cv2.UMat, dft_size: cv2.typing.Size, dst: cv2.UMat | None = ..., flags: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def divide(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def divide(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def divide(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def divideWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def divideWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def divideWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def drawColorDisp(src_disp: cv2.typing.MatLike, ndisp: int, dst_disp: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def drawColorDisp(src_disp: GpuMat, ndisp: int, dst_disp: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def drawColorDisp(src_disp: cv2.UMat, ndisp: int, dst_disp: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def ensureSizeIsEnough(rows: int, cols: int, type: int, arr: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def ensureSizeIsEnough(rows: int, cols: int, type: int, arr: GpuMat | None = ...) -> GpuMat: ... @_typing.overload def ensureSizeIsEnough(rows: int, cols: int, type: int, arr: cv2.UMat | None = ...) -> cv2.UMat: ... @_typing.overload def equalizeHist(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def equalizeHist(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def equalizeHist(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def evenLevels(nLevels: int, lowerLevel: int, upperLevel: int, levels: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def evenLevels(nLevels: int, lowerLevel: int, upperLevel: int, levels: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def evenLevels(nLevels: int, lowerLevel: int, upperLevel: int, levels: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def exp(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def exp(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def exp(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def fastNlMeansDenoising(src: GpuMat, h: float, dst: GpuMat | None = ..., search_window: int = ..., block_size: int = ..., stream: Stream = ...) -> GpuMat: ... def fastNlMeansDenoisingColored(src: GpuMat, h_luminance: float, photo_render: float, dst: GpuMat | None = ..., search_window: int = ..., block_size: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def findMinMax(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def findMinMax(src: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def findMinMax(src: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def findMinMaxLoc(src: cv2.typing.MatLike, minMaxVals: cv2.typing.MatLike | None = ..., loc: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def findMinMaxLoc(src: GpuMat, minMaxVals: GpuMat | None = ..., loc: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def findMinMaxLoc(src: cv2.UMat, minMaxVals: cv2.UMat | None = ..., loc: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def flip(src: cv2.typing.MatLike, flipCode: int, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def flip(src: GpuMat, flipCode: int, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def flip(src: cv2.UMat, flipCode: int, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def gammaCorrection(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., forward: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def gammaCorrection(src: GpuMat, dst: GpuMat | None = ..., forward: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def gammaCorrection(src: cv2.UMat, dst: cv2.UMat | None = ..., forward: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def gemm(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, alpha: float, src3: cv2.typing.MatLike, beta: float, dst: cv2.typing.MatLike | None = ..., flags: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def gemm(src1: GpuMat, src2: GpuMat, alpha: float, src3: GpuMat, beta: float, dst: GpuMat | None = ..., flags: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def gemm(src1: cv2.UMat, src2: cv2.UMat, alpha: float, src3: cv2.UMat, beta: float, dst: cv2.UMat | None = ..., flags: int = ..., stream: Stream = ...) -> cv2.UMat: ... def getCudaEnabledDeviceCount() -> int: ... def getDevice() -> int: ... @_typing.overload def histEven(src: cv2.typing.MatLike, histSize: int, lowerLevel: int, upperLevel: int, hist: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def histEven(src: GpuMat, histSize: int, lowerLevel: int, upperLevel: int, hist: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def histEven(src: cv2.UMat, histSize: int, lowerLevel: int, upperLevel: int, hist: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def histEven(src: cv2.typing.MatLike, hist: GpuMat, histSize: int, lowerLevel: int, upperLevel: int, stream: Stream = ...) -> None: ... @_typing.overload def histEven(src: GpuMat, hist: GpuMat, histSize: int, lowerLevel: int, upperLevel: int, stream: Stream = ...) -> None: ... @_typing.overload def histEven(src: cv2.UMat, hist: GpuMat, histSize: int, lowerLevel: int, upperLevel: int, stream: Stream = ...) -> None: ... @_typing.overload def histRange(src: cv2.typing.MatLike, levels: cv2.typing.MatLike, hist: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def histRange(src: GpuMat, levels: GpuMat, hist: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def histRange(src: cv2.UMat, levels: cv2.UMat, hist: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def histRange(src: cv2.typing.MatLike, hist: GpuMat, levels: GpuMat, stream: Stream = ...) -> None: ... @_typing.overload def histRange(src: GpuMat, hist: GpuMat, levels: GpuMat, stream: Stream = ...) -> None: ... @_typing.overload def histRange(src: cv2.UMat, hist: GpuMat, levels: GpuMat, stream: Stream = ...) -> None: ... @_typing.overload def inRange(src: cv2.typing.MatLike, lowerb: cv2.typing.Scalar, upperb: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def inRange(src: GpuMat, lowerb: cv2.typing.Scalar, upperb: cv2.typing.Scalar, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def inRange(src: cv2.UMat, lowerb: cv2.typing.Scalar, upperb: cv2.typing.Scalar, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def integral(src: cv2.typing.MatLike, sum: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def integral(src: GpuMat, sum: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def integral(src: cv2.UMat, sum: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def log(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def log(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def log(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def lshift(src: cv2.typing.MatLike, val: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def lshift(src: GpuMat, val: cv2.typing.Scalar, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def lshift(src: cv2.UMat, val: cv2.typing.Scalar, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def magnitude(xy: cv2.typing.MatLike, magnitude: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def magnitude(xy: GpuMat, magnitude: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def magnitude(xy: cv2.UMat, magnitude: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def magnitude(x: cv2.typing.MatLike, y: cv2.typing.MatLike, magnitude: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def magnitude(x: GpuMat, y: GpuMat, magnitude: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def magnitude(x: cv2.UMat, y: cv2.UMat, magnitude: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def magnitudeSqr(xy: cv2.typing.MatLike, magnitude: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def magnitudeSqr(xy: GpuMat, magnitude: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def magnitudeSqr(xy: cv2.UMat, magnitude: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def magnitudeSqr(x: cv2.typing.MatLike, y: cv2.typing.MatLike, magnitude: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def magnitudeSqr(x: GpuMat, y: GpuMat, magnitude: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def magnitudeSqr(x: cv2.UMat, y: cv2.UMat, magnitude: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def max(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def max(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def max(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def maxWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def maxWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def maxWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def meanShiftFiltering(src: cv2.typing.MatLike, sp: int, sr: int, dst: cv2.typing.MatLike | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def meanShiftFiltering(src: GpuMat, sp: int, sr: int, dst: GpuMat | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def meanShiftFiltering(src: cv2.UMat, sp: int, sr: int, dst: cv2.UMat | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def meanShiftProc(src: cv2.typing.MatLike, sp: int, sr: int, dstr: cv2.typing.MatLike | None = ..., dstsp: cv2.typing.MatLike | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def meanShiftProc(src: GpuMat, sp: int, sr: int, dstr: GpuMat | None = ..., dstsp: GpuMat | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def meanShiftProc(src: cv2.UMat, sp: int, sr: int, dstr: cv2.UMat | None = ..., dstsp: cv2.UMat | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def meanShiftSegmentation(src: cv2.typing.MatLike, sp: int, sr: int, minsize: int, dst: cv2.typing.MatLike | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def meanShiftSegmentation(src: GpuMat, sp: int, sr: int, minsize: int, dst: GpuMat | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def meanShiftSegmentation(src: cv2.UMat, sp: int, sr: int, minsize: int, dst: cv2.UMat | None = ..., criteria: cv2.typing.TermCriteria = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def meanStdDev(src: cv2.typing.MatLike, mask: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def meanStdDev(src: GpuMat, mask: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def meanStdDev(src: cv2.UMat, mask: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def meanStdDev(mtx: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def meanStdDev(mtx: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def meanStdDev(mtx: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def meanStdDev(src: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> tuple[cv2.typing.Scalar, cv2.typing.Scalar]: ... @_typing.overload def meanStdDev(src: GpuMat, mask: GpuMat) -> tuple[cv2.typing.Scalar, cv2.typing.Scalar]: ... @_typing.overload def meanStdDev(src: cv2.UMat, mask: cv2.UMat) -> tuple[cv2.typing.Scalar, cv2.typing.Scalar]: ... @_typing.overload def meanStdDev(mtx: cv2.typing.MatLike) -> tuple[cv2.typing.Scalar, cv2.typing.Scalar]: ... @_typing.overload def meanStdDev(mtx: GpuMat) -> tuple[cv2.typing.Scalar, cv2.typing.Scalar]: ... @_typing.overload def meanStdDev(mtx: cv2.UMat) -> tuple[cv2.typing.Scalar, cv2.typing.Scalar]: ... @_typing.overload def merge(src: _typing.Sequence[GpuMat], dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def merge(src: _typing.Sequence[GpuMat], dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def merge(src: _typing.Sequence[GpuMat], dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def min(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def min(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def min(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def minMax(src: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> tuple[float, float]: ... @_typing.overload def minMax(src: GpuMat, mask: GpuMat | None = ...) -> tuple[float, float]: ... @_typing.overload def minMax(src: cv2.UMat, mask: cv2.UMat | None = ...) -> tuple[float, float]: ... @_typing.overload def minMaxLoc(src: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> tuple[float, float, cv2.typing.Point, cv2.typing.Point]: ... @_typing.overload def minMaxLoc(src: GpuMat, mask: GpuMat | None = ...) -> tuple[float, float, cv2.typing.Point, cv2.typing.Point]: ... @_typing.overload def minMaxLoc(src: cv2.UMat, mask: cv2.UMat | None = ...) -> tuple[float, float, cv2.typing.Point, cv2.typing.Point]: ... @_typing.overload def minWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def minWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def minWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def moments(src: cv2.typing.MatLike, binaryImage: bool = ..., order: MomentsOrder = ..., momentsType: int = ...) -> cv2.typing.Moments: ... @_typing.overload def moments(src: GpuMat, binaryImage: bool = ..., order: MomentsOrder = ..., momentsType: int = ...) -> cv2.typing.Moments: ... @_typing.overload def moments(src: cv2.UMat, binaryImage: bool = ..., order: MomentsOrder = ..., momentsType: int = ...) -> cv2.typing.Moments: ... @_typing.overload def mulAndScaleSpectrums(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, flags: int, scale: float, dst: cv2.typing.MatLike | None = ..., conjB: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def mulAndScaleSpectrums(src1: GpuMat, src2: GpuMat, flags: int, scale: float, dst: GpuMat | None = ..., conjB: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def mulAndScaleSpectrums(src1: cv2.UMat, src2: cv2.UMat, flags: int, scale: float, dst: cv2.UMat | None = ..., conjB: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def mulSpectrums(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, flags: int, dst: cv2.typing.MatLike | None = ..., conjB: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def mulSpectrums(src1: GpuMat, src2: GpuMat, flags: int, dst: GpuMat | None = ..., conjB: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def mulSpectrums(src1: cv2.UMat, src2: cv2.UMat, flags: int, dst: cv2.UMat | None = ..., conjB: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def multiply(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def multiply(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def multiply(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def multiplyWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def multiplyWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def multiplyWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., scale: float = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... def nonLocalMeans(src: GpuMat, h: float, dst: GpuMat | None = ..., search_window: int = ..., block_size: int = ..., borderMode: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def norm(src1: cv2.typing.MatLike, normType: int, mask: cv2.typing.MatLike | None = ...) -> float: ... @_typing.overload def norm(src1: GpuMat, normType: int, mask: GpuMat | None = ...) -> float: ... @_typing.overload def norm(src1: cv2.UMat, normType: int, mask: cv2.UMat | None = ...) -> float: ... @_typing.overload def norm(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, normType: int = ...) -> float: ... @_typing.overload def norm(src1: GpuMat, src2: GpuMat, normType: int = ...) -> float: ... @_typing.overload def norm(src1: cv2.UMat, src2: cv2.UMat, normType: int = ...) -> float: ... @_typing.overload def normalize(src: cv2.typing.MatLike, alpha: float, beta: float, norm_type: int, dtype: int, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def normalize(src: GpuMat, alpha: float, beta: float, norm_type: int, dtype: int, dst: GpuMat | None = ..., mask: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def normalize(src: cv2.UMat, alpha: float, beta: float, norm_type: int, dtype: int, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def numMoments(order: MomentsOrder) -> int: ... @_typing.overload def phase(x: cv2.typing.MatLike, y: cv2.typing.MatLike, angle: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def phase(x: GpuMat, y: GpuMat, angle: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def phase(x: cv2.UMat, y: cv2.UMat, angle: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def phase(xy: cv2.typing.MatLike, angle: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def phase(xy: GpuMat, angle: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def phase(xy: cv2.UMat, angle: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def polarToCart(magnitude: cv2.typing.MatLike, angle: cv2.typing.MatLike, x: cv2.typing.MatLike | None = ..., y: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def polarToCart(magnitude: GpuMat, angle: GpuMat, x: GpuMat | None = ..., y: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[GpuMat, GpuMat]: ... @_typing.overload def polarToCart(magnitude: cv2.UMat, angle: cv2.UMat, x: cv2.UMat | None = ..., y: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def polarToCart(magnitude: cv2.typing.MatLike, angle: cv2.typing.MatLike, xy: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def polarToCart(magnitude: GpuMat, angle: GpuMat, xy: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def polarToCart(magnitude: cv2.UMat, angle: cv2.UMat, xy: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def polarToCart(magnitudeAngle: cv2.typing.MatLike, xy: cv2.typing.MatLike | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def polarToCart(magnitudeAngle: GpuMat, xy: GpuMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def polarToCart(magnitudeAngle: cv2.UMat, xy: cv2.UMat | None = ..., angleInDegrees: bool = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def pow(src: cv2.typing.MatLike, power: float, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def pow(src: GpuMat, power: float, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def pow(src: cv2.UMat, power: float, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def printCudaDeviceInfo(device: int) -> None: ... def printShortCudaDeviceInfo(device: int) -> None: ... @_typing.overload def pyrDown(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def pyrDown(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def pyrDown(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def pyrUp(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def pyrUp(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def pyrUp(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def rectStdDev(src: cv2.typing.MatLike, sqr: cv2.typing.MatLike, rect: cv2.typing.Rect, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def rectStdDev(src: GpuMat, sqr: GpuMat, rect: cv2.typing.Rect, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def rectStdDev(src: cv2.UMat, sqr: cv2.UMat, rect: cv2.typing.Rect, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def reduce(mtx: cv2.typing.MatLike, dim: int, reduceOp: int, vec: cv2.typing.MatLike | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def reduce(mtx: GpuMat, dim: int, reduceOp: int, vec: GpuMat | None = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def reduce(mtx: cv2.UMat, dim: int, reduceOp: int, vec: cv2.UMat | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... def registerPageLocked(m: cv2.typing.MatLike) -> None: ... @_typing.overload def remap(src: cv2.typing.MatLike, xmap: cv2.typing.MatLike, ymap: cv2.typing.MatLike, interpolation: int, dst: cv2.typing.MatLike | None = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def remap(src: GpuMat, xmap: GpuMat, ymap: GpuMat, interpolation: int, dst: GpuMat | None = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def remap(src: cv2.UMat, xmap: cv2.UMat, ymap: cv2.UMat, interpolation: int, dst: cv2.UMat | None = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.UMat: ... def reprojectImageTo3D(disp: GpuMat, Q: cv2.typing.MatLike, xyzw: GpuMat | None = ..., dst_cn: int = ..., stream: Stream = ...) -> GpuMat: ... def resetDevice() -> None: ... @_typing.overload def resize(src: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: cv2.typing.MatLike | None = ..., fx: float = ..., fy: float = ..., interpolation: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def resize(src: GpuMat, dsize: cv2.typing.Size, dst: GpuMat | None = ..., fx: float = ..., fy: float = ..., interpolation: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def resize(src: cv2.UMat, dsize: cv2.typing.Size, dst: cv2.UMat | None = ..., fx: float = ..., fy: float = ..., interpolation: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def rotate(src: cv2.typing.MatLike, dsize: cv2.typing.Size, angle: float, dst: cv2.typing.MatLike | None = ..., xShift: float = ..., yShift: float = ..., interpolation: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def rotate(src: GpuMat, dsize: cv2.typing.Size, angle: float, dst: GpuMat | None = ..., xShift: float = ..., yShift: float = ..., interpolation: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def rotate(src: cv2.UMat, dsize: cv2.typing.Size, angle: float, dst: cv2.UMat | None = ..., xShift: float = ..., yShift: float = ..., interpolation: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def rshift(src: cv2.typing.MatLike, val: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def rshift(src: GpuMat, val: cv2.typing.Scalar, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def rshift(src: cv2.UMat, val: cv2.typing.Scalar, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def setBufferPoolConfig(deviceId: int, stackSize: int, stackCount: int) -> None: ... def setBufferPoolUsage(on: bool) -> None: ... def setDevice(device: int) -> None: ... @_typing.overload def spatialMoments(src: cv2.typing.MatLike, moments: cv2.typing.MatLike | None = ..., binaryImage: bool = ..., order: MomentsOrder = ..., momentsType: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def spatialMoments(src: GpuMat, moments: GpuMat | None = ..., binaryImage: bool = ..., order: MomentsOrder = ..., momentsType: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def spatialMoments(src: cv2.UMat, moments: cv2.UMat | None = ..., binaryImage: bool = ..., order: MomentsOrder = ..., momentsType: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def split(src: cv2.typing.MatLike, dst: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> _typing.Sequence[GpuMat]: ... @_typing.overload def split(src: GpuMat, dst: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> _typing.Sequence[GpuMat]: ... @_typing.overload def split(src: cv2.UMat, dst: _typing.Sequence[GpuMat] | None = ..., stream: Stream = ...) -> _typing.Sequence[GpuMat]: ... @_typing.overload def sqr(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def sqr(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def sqr(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def sqrIntegral(src: cv2.typing.MatLike, sqsum: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def sqrIntegral(src: GpuMat, sqsum: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def sqrIntegral(src: cv2.UMat, sqsum: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def sqrSum(src: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def sqrSum(src: GpuMat, mask: GpuMat | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def sqrSum(src: cv2.UMat, mask: cv2.UMat | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def sqrt(src: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def sqrt(src: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def sqrt(src: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def subtract(src1: cv2.typing.MatLike, src2: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def subtract(src1: GpuMat, src2: GpuMat, dst: GpuMat | None = ..., mask: GpuMat | None = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def subtract(src1: cv2.UMat, src2: cv2.UMat, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def subtractWithScalar(src1: cv2.typing.MatLike, src2: cv2.typing.Scalar, dst: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def subtractWithScalar(src1: GpuMat, src2: cv2.typing.Scalar, dst: GpuMat | None = ..., mask: GpuMat | None = ..., dtype: int = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def subtractWithScalar(src1: cv2.UMat, src2: cv2.typing.Scalar, dst: cv2.UMat | None = ..., mask: cv2.UMat | None = ..., dtype: int = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def sum(src: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def sum(src: GpuMat, mask: GpuMat | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def sum(src: cv2.UMat, mask: cv2.UMat | None = ...) -> cv2.typing.Scalar: ... @_typing.overload def threshold(src: cv2.typing.MatLike, thresh: float, maxval: float, type: int, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> tuple[float, cv2.typing.MatLike]: ... @_typing.overload def threshold(src: GpuMat, thresh: float, maxval: float, type: int, dst: GpuMat | None = ..., stream: Stream = ...) -> tuple[float, GpuMat]: ... @_typing.overload def threshold(src: cv2.UMat, thresh: float, maxval: float, type: int, dst: cv2.UMat | None = ..., stream: Stream = ...) -> tuple[float, cv2.UMat]: ... @_typing.overload def transpose(src1: cv2.typing.MatLike, dst: cv2.typing.MatLike | None = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def transpose(src1: GpuMat, dst: GpuMat | None = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def transpose(src1: cv2.UMat, dst: cv2.UMat | None = ..., stream: Stream = ...) -> cv2.UMat: ... def unregisterPageLocked(m: cv2.typing.MatLike) -> None: ... @_typing.overload def warpAffine(src: cv2.typing.MatLike, M: cv2.UMat, dsize: cv2.typing.Size, dst: cv2.typing.MatLike | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def warpAffine(src: GpuMat, M: cv2.UMat, dsize: cv2.typing.Size, dst: GpuMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def warpAffine(src: cv2.UMat, M: cv2.UMat, dsize: cv2.typing.Size, dst: cv2.UMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def warpAffine(src: cv2.typing.MatLike, M: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: cv2.typing.MatLike | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def warpAffine(src: GpuMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: GpuMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def warpAffine(src: cv2.UMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: cv2.UMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def warpPerspective(src: cv2.typing.MatLike, M: cv2.UMat, dsize: cv2.typing.Size, dst: cv2.typing.MatLike | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def warpPerspective(src: GpuMat, M: cv2.UMat, dsize: cv2.typing.Size, dst: GpuMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def warpPerspective(src: cv2.UMat, M: cv2.UMat, dsize: cv2.typing.Size, dst: cv2.UMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.UMat: ... @_typing.overload def warpPerspective(src: cv2.typing.MatLike, M: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: cv2.typing.MatLike | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.typing.MatLike: ... @_typing.overload def warpPerspective(src: GpuMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: GpuMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> GpuMat: ... @_typing.overload def warpPerspective(src: cv2.UMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, dst: cv2.UMat | None = ..., flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ..., stream: Stream = ...) -> cv2.UMat: ... def wrapStream(cudaStreamMemoryAddress: int) -> Stream: ...