| __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]""" | |
| 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]""" | |
| # 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: ... | |
| # Functions | |
| @_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: ... | |
| @_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: ... | |
| @_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: ... | |
| 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: ... | |
| def getCudaEnabledDeviceCount() -> int: ... | |
| def getDevice() -> int: ... | |
| def nonLocalMeans(src: GpuMat, h: float, dst: GpuMat | None = ..., search_window: int = ..., block_size: int = ..., borderMode: int = ..., stream: Stream = ...) -> GpuMat: ... | |
| def printCudaDeviceInfo(device: int) -> None: ... | |
| def printShortCudaDeviceInfo(device: int) -> None: ... | |
| def registerPageLocked(m: cv2.typing.MatLike) -> None: ... | |
| def resetDevice() -> None: ... | |
| def setBufferPoolConfig(deviceId: int, stackSize: int, stackCount: int) -> None: ... | |
| def setBufferPoolUsage(on: bool) -> None: ... | |
| def setDevice(device: int) -> None: ... | |
| def unregisterPageLocked(m: cv2.typing.MatLike) -> None: ... | |
| def wrapStream(cudaStreamMemoryAddress: int) -> Stream: ... | |