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React OpenCV Manipulation and Image Narration & Editing

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export interface OpenCVFilterProps { blur: boolean; th: boolean; thMode: any; thMeanCorrection: number; thBlockSize: number; thMax: number; grayScale: boolean; } type _$$ = { count: { value: number; }; ptr: number; ptrType: { destructorFunction: unknown | undefined | null; isConst: boolean; isReference: boolean; isSmartPointer: boolean; name: "string"; pointeeType: unknown; rawConstructor: unknown; rawDestructor: unknown; rawGetPointee: unknown; rawShare: unknown; }; }; type MatPtr = { $$: _$$; delete(): void; matSize: [number, number]; cols: number; rows: number; size: () => size; copyTo: (dst: ImagePtr) => void; clone: () => ImagePtr; }; export type ImagePtr = MatPtr & { data64F: number[]; $$: _$$; }; export interface size { width: number; height: number; } interface Size { new (width: number, height: number): size; Size: Size; } interface Mat { new (): MatPtr & ImagePtr; /** * Create an identity matrix */ eye: (cols: number, rows: number, type: number) => MatPtr; Mat: Mat; } interface point { x: number; y: number; } interface Point { new (x: number, y: number): point; Point: Point; } interface Scalar { new (): unknown; Scalar: Scalar; } type MatrixVector = Pick<ImagePtr, "delete">; interface MatVector { new (): MatrixVector; MatVector: MatVector; } interface Rect { x: number; y: number; width: number; height: number; } interface RectConstructor { new (x: number, y: number, width: number, height: number): Rect; Rect: RectConstructor; } interface CV_Types { INTER_LINEAR: number; INTER_NEAREST: number; INTER_AREA: 3; RETR_CCOMP: number; CHAIN_APPROX_SIMPLE: number; BORDER_DEFAULT: number; BORDER_CONSTANT: number; CV_32F: 5; CV_32FC1: 5; CV_32FC2: number; CV_64FC1: 6; CV_8UC1: number; COLOR_RGBA2GRAY: 11; COLOR_RGBA2RGB: number; COLOR_RGB2RGBA: number; COLOR_BGR2HSV: 40; COLOR_RGBA2BGRA: 5; THRESH_BINARY: number; ADAPTIVE_THRESH_MEAN_C: number; CV_8U: 0; GC_BGD: 0; GC_FGD: 1; GC_PR_BGD: 2; GC_PR_FGD: 3; GC_INIT_WITH_RECT: 0; GC_INIT_WITH_MASK: 1; } export type OpenCV = CV_Types & { imread: (canvas: HTMLCanvasElement) => ImagePtr; imshow: (canvas: HTMLCanvasElement, image: ImagePtr) => void; resize: (...args: any[]) => ImagePtr; getRotationMatrix2D: (point: point, angle: number, dunno: number) => ImagePtr; adaptiveThreshold: (src: ImagePtr, dst: ImagePtr, ...args: any[]) => void; Canny: (src: ImagePtr, dest: ImagePtr, threshold1: number, threshold2: number) => void; matFromArray: (cols: number, rows: number, type: number, values: number[]) => MatPtr; transform: (src: ImagePtr, dst: ImagePtr, mat: MatPtr) => void; filter2D: ( /** input image. */ src: ImagePtr, /** output image of the same size and the same number of channels as src. */ dst: ImagePtr, /** desired depth of the destination image. */ ddepth: number, /**convolution kernel (or rather a correlation kernel), a single-channel floating point matrix; * if you want to apply different kernels to different channels, * split the image into separate color planes using split and process them individually. */ kernel: MatPtr, /**anchor of the kernel that indicates the relative position of a filtered point within the kernel; * the anchor should lie within the kernel; * default value new cv.Point(-1, -1) means that the anchor is at the kernel center. */ anchor?: point, /**optional value added to the filtered pixels before storing them in dst. */ delta?: number, /**pixel extrapolation method */ borderType?: number) => void; boundingRect: (src: ImagePtr) => Record<string, number>; warpAffine: (src: ImagePtr, dest: ImagePtr, ...args: any[]) => void; findContours: (src: ImagePtr, mat_vec: MatrixVector, mat: ImagePtr, something2: number, something3: number) => void; cvtColor: (src: ImagePtr, dest: ImagePtr, something1: number, something2: number) => void; warpPerspective: (src: ImagePtr, dest: ImagePtr, ...args: any[]) => void; threshold: (src: ImagePtr, dest: ImagePtr, thresh1: number, thresh2: number, option: number) => void; GaussianBlur: (src: ImagePtr, dest: ImagePtr, size: size, num1: number, num2: number, num3: number) => void; getPerspectiveTransform: (mat1: any, mat2: any) => any; flip: (src: ImagePtr, dest: ImagePtr, num: number) => void; grabCut: (src: ImagePtr, mask: ImagePtr, rect: Rect, bgdModel: ImagePtr, fgdModel: ImagePtr, iterCount: number, mode: number) => void; split: (src: ImagePtr, channels: MatrixVector) => void; merge: (channels: MatrixVector, dst: ImagePtr) => void; Size: Size; Mat: Mat; Point: Point; Scalar: Scalar; MatVector: MatVector; Rect: RectConstructor; }; export {}; //# sourceMappingURL=openCV.d.ts.map