116 lines
5.4 KiB
TypeScript
116 lines
5.4 KiB
TypeScript
import { DataTypes, ColorConversionCodes, ThresholdTypes, MorphShapes, MorphTypes, RetrievalModes, ContourApproximationModes, InterpolationFlags, type Mat, type PointVector } from 'react-native-fast-opencv';
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import type { SkImage } from '@shopify/react-native-skia';
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type Point = {
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x: number;
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y: number;
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};
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type BBox = {
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x: number;
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y: number;
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width: number;
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height: number;
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};
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type BgrColor = {
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b: number;
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g: number;
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r: number;
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};
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export declare class WrappedMat {
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readonly mat: Mat;
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cols: number;
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rows: number;
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readonly channels: number;
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constructor(mat: Mat, cols: number, rows: number, channels?: number);
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release(): void;
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clone(): Promise<WrappedMat>;
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}
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export declare class ContourWrapper {
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readonly pointVector: PointVector;
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constructor(pointVector: PointVector);
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release(): void;
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}
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declare const cv: {
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IMREAD_GRAYSCALE: number;
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THRESH_BINARY: ThresholdTypes;
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MORPH_RECT: MorphShapes;
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MORPH_ELLIPSE: MorphShapes;
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MORPH_OPEN: MorphTypes;
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MORPH_CLOSE: MorphTypes;
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RETR_EXTERNAL: RetrievalModes;
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CHAIN_APPROX_SIMPLE: ContourApproximationModes;
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CHAIN_APPROX_NONE: ContourApproximationModes;
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COLOR_BGR2GRAY: ColorConversionCodes;
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COLOR_BGR2Lab: ColorConversionCodes;
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COLOR_Lab2BGR: ColorConversionCodes;
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COLOR_GRAY2BGR: ColorConversionCodes;
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CV_8UC1: DataTypes;
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CV_16SC1: DataTypes;
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INTER_LINEAR: InterpolationFlags;
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INTER_NEAREST: InterpolationFlags;
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ensurePngPath(path: string, cacheFileName?: string): Promise<string>;
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imread(path: string, flags?: number): Promise<WrappedMat>;
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createMat(cols: number, rows: number, channels?: 1 | 3 | 4): WrappedMat;
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cvtColor(src: WrappedMat, code: ColorConversionCodes): Promise<WrappedMat>;
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/** 三通道色彩空间转换（BGR/Lab 等） */
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cvtColorBgr(src: WrappedMat, code: ColorConversionCodes): WrappedMat;
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/** 灰度 Mat → 三通道 BGR（供 Skia 显示） */
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grayToBgr(src: WrappedMat): WrappedMat;
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/** 掩码统一为三通道 BGR；已是 3 通道则原样返回，色序由分割侧 swapBr 检测 */
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ensureBgr3(src: WrappedMat): Promise<WrappedMat>;
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/** JS 二值缓冲（0/255）→ 单通道 Mat */
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binaryBufferToMat(buffer: Uint8Array, cols: number, rows: number): WrappedMat;
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/** 连续 BGR 缓冲 → 三通道 Mat */
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bgrBufferToMat(buffer: Uint8Array, cols: number, rows: number): WrappedMat;
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/** 将 JS 侧生成的灰度二值图写入临时 PGM 并读回 Mat */
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grayBufferToMat(gray: Uint8Array, cols: number, rows: number): Promise<WrappedMat>;
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/**
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* 导出 Mat 像素。先 clone 保证内存连续，避免原生 matToBuffer 忽略 step 导致行错位。
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*/
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matToBuffer(src: WrappedMat): {
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buffer: Uint8Array;
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cols: number;
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rows: number;
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channels: number;
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};
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inRangeBgr(src: WrappedMat, color: BgrColor, tolerance: number, dst: WrappedMat): Promise<void>;
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resize(src: WrappedMat, dst: WrappedMat, size: {
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width: number;
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height: number;
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}, interpolation?: InterpolationFlags): Promise<void>;
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/** BGR 缓冲原生缩放（掩码用语义色，默认最近邻） */
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resizeBgrBuffer(buffer: Uint8Array, srcCols: number, srcRows: number, dstCols: number, dstRows: number, interpolation?: InterpolationFlags): Promise<Uint8Array>;
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/** BGR Mat → RGBA 连续缓冲（供 Skia 直传） */
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matToRgbaBuffer(src: WrappedMat): Promise<{
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buffer: Uint8Array;
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cols: number;
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rows: number;
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}>;
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/** BGR Mat → Skia 图像（跳过低频/高频 PNG 编码） */
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matToSkiaImage(src: WrappedMat): Promise<SkImage | null>;
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/** 单通道灰度 Mat → Skia RGBA（跳过 BGR 伪彩 + 四通道 matToBuffer） */
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grayMatToSkiaImage(src: WrappedMat): SkImage | null;
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/** 连续 BGR 缓冲 → Skia 图像（工作分辨率原图 / 高低频，复用 OpenCV 解码结果） */
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bgrBufferToSkiaImage(buffer: Uint8Array, cols: number, rows: number): Promise<SkImage | null>;
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threshold(src: WrappedMat, dst: WrappedMat, thresh: number, maxval: number, type: number): Promise<void>;
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getStructuringElement(shape: MorphShapes, ksize: {
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width: number;
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height: number;
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}): Promise<WrappedMat>;
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morphologyEx(src: WrappedMat, dst: WrappedMat, op: MorphTypes, kernel: WrappedMat): Promise<void>;
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findContours(image: WrappedMat, mode: RetrievalModes, method: ContourApproximationModes): Promise<ContourWrapper[]>;
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contourArea(contour: ContourWrapper): Promise<number>;
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boundingRect(contour: ContourWrapper): Promise<BBox>;
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arcLength(contour: ContourWrapper, closed: boolean): Promise<number>;
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approxPolyDP(contour: ContourWrapper, epsilon: number, closed: boolean): Promise<Point[]>;
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GaussianBlur(src: WrappedMat, dst: WrappedMat, ksize: {
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width: number;
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height: number;
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}, sigma: number): Promise<void>;
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extractChannel(src: WrappedMat, dst: WrappedMat, channel: number): void;
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convertTo(src: WrappedMat, dst: WrappedMat, rtype: number, alpha?: number, beta?: number): void;
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subtract(src1: WrappedMat, src2: WrappedMat, dst: WrappedMat): Promise<void>;
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addWeighted(src1: WrappedMat, alpha: number, src2: WrappedMat | null, beta: number, gamma: number, dst: WrappedMat): Promise<void>;
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imwrite(path: string, mat: WrappedMat): Promise<void>;
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};
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export default cv;
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//# sourceMappingURL=opencvAdapter.d.ts.map
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