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React OpenCV Manipulation and Image Narration & Editing
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TypeScript
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