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

import { FaceDetection, Point } from '../classes/index';
import { ParamMapping } from '../common/index';
import { TNetInput } from '../dom/index';
import { ITinyYolov2Options } from '../tinyYolov2/index';
import { TinyYolov2Base } from '../tinyYolov2/TinyYolov2Base';
import { TinyYolov2NetParams } from '../tinyYolov2/types';
import { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const';

export class TinyFaceDetector extends TinyYolov2Base {
  constructor() {
    const config = {
      withSeparableConvs: true,
      iouThreshold: IOU_THRESHOLD,
      classes: ['face'],
      anchors: BOX_ANCHORS,
      meanRgb: MEAN_RGB,
      isFirstLayerConv2d: true,
      filterSizes: [3, 16, 32, 64, 128, 256, 512],
    };

    super(config);
  }

  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 override getDefaultModelName(): string {
    return 'tiny_face_detector_model';
  }

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