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import cv2 | |
import cv2.typing | |
import typing | |
# Enumerations | |
StereoOutputFormat_DEPTH_FLOAT16: int | |
STEREO_OUTPUT_FORMAT_DEPTH_FLOAT16: int | |
StereoOutputFormat_DEPTH_FLOAT32: int | |
STEREO_OUTPUT_FORMAT_DEPTH_FLOAT32: int | |
StereoOutputFormat_DISPARITY_FIXED16_11_5: int | |
STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_11_5: int | |
StereoOutputFormat_DISPARITY_FIXED16_12_4: int | |
STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_12_4: int | |
StereoOutputFormat_DEPTH_16F: int | |
STEREO_OUTPUT_FORMAT_DEPTH_16F: int | |
StereoOutputFormat_DEPTH_32F: int | |
STEREO_OUTPUT_FORMAT_DEPTH_32F: int | |
StereoOutputFormat_DISPARITY_16Q_10_5: int | |
STEREO_OUTPUT_FORMAT_DISPARITY_16Q_10_5: int | |
StereoOutputFormat_DISPARITY_16Q_11_4: int | |
STEREO_OUTPUT_FORMAT_DISPARITY_16Q_11_4: int | |
StereoOutputFormat = int | |
"""One of [StereoOutputFormat_DEPTH_FLOAT16, STEREO_OUTPUT_FORMAT_DEPTH_FLOAT16, StereoOutputFormat_DEPTH_FLOAT32, STEREO_OUTPUT_FORMAT_DEPTH_FLOAT32, StereoOutputFormat_DISPARITY_FIXED16_11_5, STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_11_5, StereoOutputFormat_DISPARITY_FIXED16_12_4, STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_12_4, StereoOutputFormat_DEPTH_16F, STEREO_OUTPUT_FORMAT_DEPTH_16F, StereoOutputFormat_DEPTH_32F, STEREO_OUTPUT_FORMAT_DEPTH_32F, StereoOutputFormat_DISPARITY_16Q_10_5, STEREO_OUTPUT_FORMAT_DISPARITY_16Q_10_5, StereoOutputFormat_DISPARITY_16Q_11_4, STEREO_OUTPUT_FORMAT_DISPARITY_16Q_11_4]""" | |
CV_BOOL: int | |
CV_INT: int | |
CV_INT64: int | |
CV_DOUBLE: int | |
CV_FLOAT: int | |
CV_STRING: int | |
CV_POINT: int | |
CV_POINT2F: int | |
CV_POINT3F: int | |
CV_SIZE: int | |
CV_RECT: int | |
CV_SCALAR: int | |
CV_MAT: int | |
CV_GMAT: int | |
CV_DRAW_PRIM: int | |
CV_ANY: int | |
ArgType = int | |
"""One of [CV_BOOL, CV_INT, CV_INT64, CV_DOUBLE, CV_FLOAT, CV_STRING, CV_POINT, CV_POINT2F, CV_POINT3F, CV_SIZE, CV_RECT, CV_SCALAR, CV_MAT, CV_GMAT, CV_DRAW_PRIM, CV_ANY]""" | |
# Classes | |
class GNetParam: | |
... | |
class GNetPackage: | |
# Functions | |
def __init__(self) -> None: ... | |
def __init__(self, nets: typing.Sequence[GNetParam]) -> None: ... | |
# Functions | |
def BGR2Gray(src: cv2.GMat) -> cv2.GMat: ... | |
def BGR2I420(src: cv2.GMat) -> cv2.GMat: ... | |
def BGR2LUV(src: cv2.GMat) -> cv2.GMat: ... | |
def BGR2RGB(src: cv2.GMat) -> cv2.GMat: ... | |
def BGR2YUV(src: cv2.GMat) -> cv2.GMat: ... | |
def BayerGR2RGB(src_gr: cv2.GMat) -> cv2.GMat: ... | |
def Canny(image: cv2.GMat, threshold1: float, threshold2: float, apertureSize: int = ..., L2gradient: bool = ...) -> cv2.GMat: ... | |
def I4202BGR(src: cv2.GMat) -> cv2.GMat: ... | |
def I4202RGB(src: cv2.GMat) -> cv2.GMat: ... | |
def LUT(src: cv2.GMat, lut: cv2.typing.MatLike) -> cv2.GMat: ... | |
def LUV2BGR(src: cv2.GMat) -> cv2.GMat: ... | |
def Laplacian(src: cv2.GMat, ddepth: int, ksize: int = ..., scale: float = ..., delta: float = ..., borderType: int = ...) -> cv2.GMat: ... | |
def NV12toBGR(src_y: cv2.GMat, src_uv: cv2.GMat) -> cv2.GMat: ... | |
def NV12toGray(src_y: cv2.GMat, src_uv: cv2.GMat) -> cv2.GMat: ... | |
def NV12toRGB(src_y: cv2.GMat, src_uv: cv2.GMat) -> cv2.GMat: ... | |
def RGB2Gray(src: cv2.GMat) -> cv2.GMat: ... | |
def RGB2Gray(src: cv2.GMat, rY: float, gY: float, bY: float) -> cv2.GMat: ... | |
def RGB2HSV(src: cv2.GMat) -> cv2.GMat: ... | |
def RGB2I420(src: cv2.GMat) -> cv2.GMat: ... | |
def RGB2Lab(src: cv2.GMat) -> cv2.GMat: ... | |
def RGB2YUV(src: cv2.GMat) -> cv2.GMat: ... | |
def RGB2YUV422(src: cv2.GMat) -> cv2.GMat: ... | |
def Sobel(src: cv2.GMat, ddepth: int, dx: int, dy: int, ksize: int = ..., scale: float = ..., delta: float = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def SobelXY(src: cv2.GMat, ddepth: int, order: int, ksize: int = ..., scale: float = ..., delta: float = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> tuple[cv2.GMat, cv2.GMat]: ... | |
def YUV2BGR(src: cv2.GMat) -> cv2.GMat: ... | |
def YUV2RGB(src: cv2.GMat) -> cv2.GMat: ... | |
def absDiff(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def absDiffC(src: cv2.GMat, c: cv2.GScalar) -> cv2.GMat: ... | |
def add(src1: cv2.GMat, src2: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ... | |
def addC(src1: cv2.GMat, c: cv2.GScalar, ddepth: int = ...) -> cv2.GMat: ... | |
def addC(c: cv2.GScalar, src1: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ... | |
def addWeighted(src1: cv2.GMat, alpha: float, src2: cv2.GMat, beta: float, gamma: float, ddepth: int = ...) -> cv2.GMat: ... | |
def bilateralFilter(src: cv2.GMat, d: int, sigmaColor: float, sigmaSpace: float, borderType: int = ...) -> cv2.GMat: ... | |
def bitwise_and(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def bitwise_and(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def bitwise_not(src: cv2.GMat) -> cv2.GMat: ... | |
def bitwise_or(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def bitwise_or(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def bitwise_xor(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def bitwise_xor(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def blur(src: cv2.GMat, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def boundingRect(src: cv2.GMat) -> cv2.GOpaqueT: ... | |
def boundingRect(src: cv2.GArrayT) -> cv2.GOpaqueT: ... | |
def boundingRect(src: cv2.GArrayT) -> cv2.GOpaqueT: ... | |
def boxFilter(src: cv2.GMat, dtype: int, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., normalize: bool = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def cartToPolar(x: cv2.GMat, y: cv2.GMat, angleInDegrees: bool = ...) -> tuple[cv2.GMat, cv2.GMat]: ... | |
def cmpEQ(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def cmpEQ(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def cmpGE(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def cmpGE(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def cmpGT(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def cmpGT(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def cmpLE(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def cmpLE(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def cmpLT(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def cmpLT(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def cmpNE(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def cmpNE(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ... | |
def combine(lhs: cv2.GKernelPackage, rhs: cv2.GKernelPackage) -> cv2.GKernelPackage: ... | |
def concatHor(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def concatHor(v: typing.Sequence[cv2.GMat]) -> cv2.GMat: ... | |
def concatVert(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def concatVert(v: typing.Sequence[cv2.GMat]) -> cv2.GMat: ... | |
def convertTo(src: cv2.GMat, rdepth: int, alpha: float = ..., beta: float = ...) -> cv2.GMat: ... | |
def copy(in_: cv2.GMat) -> cv2.GMat: ... | |
def countNonZero(src: cv2.GMat) -> cv2.GOpaqueT: ... | |
def crop(src: cv2.GMat, rect: cv2.typing.Rect) -> cv2.GMat: ... | |
def dilate(src: cv2.GMat, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def dilate3x3(src: cv2.GMat, iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def div(src1: cv2.GMat, src2: cv2.GMat, scale: float, ddepth: int = ...) -> cv2.GMat: ... | |
def divC(src: cv2.GMat, divisor: cv2.GScalar, scale: float, ddepth: int = ...) -> cv2.GMat: ... | |
def divRC(divident: cv2.GScalar, src: cv2.GMat, scale: float, ddepth: int = ...) -> cv2.GMat: ... | |
def equalizeHist(src: cv2.GMat) -> cv2.GMat: ... | |
def erode(src: cv2.GMat, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def erode3x3(src: cv2.GMat, iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def filter2D(src: cv2.GMat, ddepth: int, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., delta: cv2.typing.Scalar = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def flip(src: cv2.GMat, flipCode: int) -> cv2.GMat: ... | |
def gaussianBlur(src: cv2.GMat, ksize: cv2.typing.Size, sigmaX: float, sigmaY: float = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def goodFeaturesToTrack(image: cv2.GMat, maxCorners: int, qualityLevel: float, minDistance: float, mask: cv2.typing.MatLike | None = ..., blockSize: int = ..., useHarrisDetector: bool = ..., k: float = ...) -> cv2.GArrayT: ... | |
def inRange(src: cv2.GMat, threshLow: cv2.GScalar, threshUp: cv2.GScalar) -> cv2.GMat: ... | |
def infer(name: str, inputs: cv2.GInferInputs) -> cv2.GInferOutputs: ... | |
def infer(name: str, roi: cv2.GOpaqueT, inputs: cv2.GInferInputs) -> cv2.GInferOutputs: ... | |
def infer(name: str, rois: cv2.GArrayT, inputs: cv2.GInferInputs) -> cv2.GInferListOutputs: ... | |
def infer2(name: str, in_: cv2.GMat, inputs: cv2.GInferListInputs) -> cv2.GInferListOutputs: ... | |
def integral(src: cv2.GMat, sdepth: int = ..., sqdepth: int = ...) -> tuple[cv2.GMat, cv2.GMat]: ... | |
def kmeans(data: cv2.GMat, K: int, bestLabels: cv2.GMat, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GMat, cv2.GMat]: ... | |
def kmeans(data: cv2.GMat, K: int, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GMat, cv2.GMat]: ... | |
def kmeans(data: cv2.GArrayT, K: int, bestLabels: cv2.GArrayT, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GArrayT, cv2.GArrayT]: ... | |
def kmeans(data: cv2.GArrayT, K: int, bestLabels: cv2.GArrayT, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GArrayT, cv2.GArrayT]: ... | |
def mask(src: cv2.GMat, mask: cv2.GMat) -> cv2.GMat: ... | |
def max(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def mean(src: cv2.GMat) -> cv2.GScalar: ... | |
def medianBlur(src: cv2.GMat, ksize: int) -> cv2.GMat: ... | |
def merge3(src1: cv2.GMat, src2: cv2.GMat, src3: cv2.GMat) -> cv2.GMat: ... | |
def merge4(src1: cv2.GMat, src2: cv2.GMat, src3: cv2.GMat, src4: cv2.GMat) -> cv2.GMat: ... | |
def min(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ... | |
def morphologyEx(src: cv2.GMat, op: cv2.MorphTypes, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ..., borderType: cv2.BorderTypes = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def mul(src1: cv2.GMat, src2: cv2.GMat, scale: float = ..., ddepth: int = ...) -> cv2.GMat: ... | |
def mulC(src: cv2.GMat, multiplier: float, ddepth: int = ...) -> cv2.GMat: ... | |
def mulC(src: cv2.GMat, multiplier: cv2.GScalar, ddepth: int = ...) -> cv2.GMat: ... | |
def mulC(multiplier: cv2.GScalar, src: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ... | |
def normInf(src: cv2.GMat) -> cv2.GScalar: ... | |
def normL1(src: cv2.GMat) -> cv2.GScalar: ... | |
def normL2(src: cv2.GMat) -> cv2.GScalar: ... | |
def normalize(src: cv2.GMat, alpha: float, beta: float, norm_type: int, ddepth: int = ...) -> cv2.GMat: ... | |
def parseSSD(in_: cv2.GMat, inSz: cv2.GOpaqueT, confidenceThreshold: float = ..., filterLabel: int = ...) -> tuple[cv2.GArrayT, cv2.GArrayT]: ... | |
def parseSSD(in_: cv2.GMat, inSz: cv2.GOpaqueT, confidenceThreshold: float, alignmentToSquare: bool, filterOutOfBounds: bool) -> cv2.GArrayT: ... | |
def parseYolo(in_: cv2.GMat, inSz: cv2.GOpaqueT, confidenceThreshold: float = ..., nmsThreshold: float = ..., anchors: typing.Sequence[float] = ...) -> tuple[cv2.GArrayT, cv2.GArrayT]: ... | |
def phase(x: cv2.GMat, y: cv2.GMat, angleInDegrees: bool = ...) -> cv2.GMat: ... | |
def polarToCart(magnitude: cv2.GMat, angle: cv2.GMat, angleInDegrees: bool = ...) -> tuple[cv2.GMat, cv2.GMat]: ... | |
def remap(src: cv2.GMat, map1: cv2.typing.MatLike, map2: cv2.typing.MatLike, interpolation: int, borderMode: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def resize(src: cv2.GMat, dsize: cv2.typing.Size, fx: float = ..., fy: float = ..., interpolation: int = ...) -> cv2.GMat: ... | |
def select(src1: cv2.GMat, src2: cv2.GMat, mask: cv2.GMat) -> cv2.GMat: ... | |
def sepFilter(src: cv2.GMat, ddepth: int, kernelX: cv2.typing.MatLike, kernelY: cv2.typing.MatLike, anchor: cv2.typing.Point, delta: cv2.typing.Scalar, borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def split3(src: cv2.GMat) -> tuple[cv2.GMat, cv2.GMat, cv2.GMat]: ... | |
def split4(src: cv2.GMat) -> tuple[cv2.GMat, cv2.GMat, cv2.GMat, cv2.GMat]: ... | |
def sqrt(src: cv2.GMat) -> cv2.GMat: ... | |
def sub(src1: cv2.GMat, src2: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ... | |
def subC(src: cv2.GMat, c: cv2.GScalar, ddepth: int = ...) -> cv2.GMat: ... | |
def subRC(c: cv2.GScalar, src: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ... | |
def sum(src: cv2.GMat) -> cv2.GScalar: ... | |
def threshold(src: cv2.GMat, thresh: cv2.GScalar, maxval: cv2.GScalar, type: int) -> cv2.GMat: ... | |
def threshold(src: cv2.GMat, maxval: cv2.GScalar, type: int) -> tuple[cv2.GMat, cv2.GScalar]: ... | |
def transpose(src: cv2.GMat) -> cv2.GMat: ... | |
def warpAffine(src: cv2.GMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |
def warpPerspective(src: cv2.GMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ... | |