opencv4nodejs/lib/typings/HOGDescriptor.d.ts

Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API.

import { Mat } from './Mat.d';
import { Size } from './Size.d';
import { Rect } from './Rect.d';
import { Point2 } from './Point2.d';

export class HOGDescriptor {
  readonly winSize: Size;
  readonly blockSize: Size;
  readonly blockStride: Size;
  readonly cellSize: Size;
  readonly nbins: number;
  readonly derivAperture: number;
  readonly histogramNormType: number;
  readonly nlevels: number;
  readonly winSigma: number;
  readonly L2HysThreshold: number;
  readonly gammaCorrection: boolean;
  readonly signedGradient: boolean;
  constructor(winSize?: Size, blockSize?: Size, blockStride?: Size, cellSize?: Size, nbins?: number, derivAperture?: number, winSigma?: number, histogramNormType?: number, L2HysThreshold?: number, gammaCorrection?: boolean, nlevels?: number, signedGradient?: boolean);
  constructor(params: { winSize?: Size, blockSize?: Size, blockStride?: Size, cellSize?: Size, nbins?: number, derivAperture?: number, winSigma?: number, histogramNormType?: number, L2HysThreshold?: number, gammaCorrection?: boolean, nlevels?: number, signedGradient?: boolean });
  checkDetectorSize(): boolean;
  compute(img: Mat, winStride?: Size, padding?: Size, locations?: Point2[]): number[];
  computeAsync(img: Mat, winStride?: Size, padding?: Size, locations?: Point2[]): Promise<number[]>;
  computeGradient(img: Mat, paddingTL?: Size, paddingBR?: Size): { grad: Mat, angleOfs: Mat };
  computeGradientAsync(img: Mat, paddingTL?: Size, paddingBR?: Size): Promise<{ grad: Mat, angleOfs: Mat }>;
  detect(img: Mat, hitThreshold?: number, winStride?: Size, padding?: Size, searchLocations?: Point2[]): { foundLocations: Point2[], weights: number[] };
  detectAsync(img: Mat, hitThreshold?: number, winStride?: Size, padding?: Size, searchLocations?: Point2[]): Promise<{ foundLocations: Point2[], weights: number[] }>;
  detectMultiScale(img: Mat, hitThreshold?: number, winStride?: Size, padding?: Size, scale?: number, finalThreshold?: number, useMeanshiftGrouping?: boolean): { foundLocations: Rect[], foundWeights: number[] };
  detectMultiScaleAsync(img: Mat, hitThreshold?: number, winStride?: Size, padding?: Size, scale?: number, finalThreshold?: number, useMeanshiftGrouping?: boolean): Promise<{ foundLocations: Rect[], foundWeights: number[] }>;
  detectMultiScaleROI(img: Mat, hitThreshold?: number, groupThreshold?: number): Rect[];
  detectMultiScaleROIAsync(img: Mat, hitThreshold?: number, groupThreshold?: number): Promise<Rect[]>;
  detectROI(img: Mat, locations: Point2[], hitThreshold?: number, winStride?: Size, padding?: Size): { foundLocations: Point2[], confidences: number[] };
  detectROIAsync(img: Mat, locations: Point2[], hitThreshold?: number, winStride?: Size, padding?: Size): Promise<{ foundLocations: Point2[], confidences: number[] }>;
  getDaimlerPeopleDetector(): number[];
  getDefaultPeopleDetector(): number[];
  groupRectangles(rectList: Rect[], weights: number[], groupThreshold: number, eps: number): Rect[];
  groupRectanglesAsync(rectList: Rect[], weights: number[], groupThreshold: number, eps: number): Promise<Rect[]>;
  load(path: string): void;
  save(path: string): void;
  setSVMDetector(detector: number[]): void;
}