face-api/src/tinyYolov2/TinyYolov2.ts

import * as tf from '../../dist/tfjs.esm';

import { FaceDetection, Point } from '../classes/index';
import { ParamMapping } from '../common/types';
import { TNetInput } from '../dom/types';
import {
  BOX_ANCHORS,
  BOX_ANCHORS_SEPARABLE,
  DEFAULT_MODEL_NAME,
  DEFAULT_MODEL_NAME_SEPARABLE_CONV,
  IOU_THRESHOLD,
  MEAN_RGB_SEPARABLE,
} from './const';
import { TinyYolov2Base } from './TinyYolov2Base';
import { ITinyYolov2Options } from './TinyYolov2Options';
import { TinyYolov2NetParams } from './types';

export class TinyYolov2 extends TinyYolov2Base {
  constructor(withSeparableConvs: boolean = true) {
    const config = {
      withSeparableConvs,
      iouThreshold: IOU_THRESHOLD,
      classes: ['face'],
      ...(withSeparableConvs
        ? {
          anchors: BOX_ANCHORS_SEPARABLE,
          meanRgb: MEAN_RGB_SEPARABLE,
        }
        : {
          anchors: BOX_ANCHORS,
          withClassScores: true,
        }),
    };

    super(config);
  }

  public get withSeparableConvs(): boolean {
    return this.config.withSeparableConvs;
  }

  public get anchors(): Point[] {
    return this.config.anchors;
  }

  public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise<FaceDetection[]> {
    const objectDetections = await this.detect(input, forwardParams);
    return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));
  }

  protected getDefaultModelName(): string {
    return this.withSeparableConvs ? DEFAULT_MODEL_NAME_SEPARABLE_CONV : DEFAULT_MODEL_NAME;
  }

  protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {
    return super.extractParamsFromWeightMap(weightMap);
  }
}