face-api/src/tinyYolov2/TinyYolov2.ts

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2020-08-18 13:54:53 +02:00
import * as tf from '@tensorflow/tfjs-core';
import { FaceDetection, Point } from '../classes';
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 = Object.assign({}, {
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 extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {
return super.extractParamsFromWeigthMap(weightMap)
}
}