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0c8549a840
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3 changed files with 14 additions and 14 deletions
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@ -1,6 +1,12 @@
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import { workerBridge } from "@/next/worker/worker-bridge";
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import { euclidean } from "hdbscan";
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import { Box, Point, boxFromBoundingBox } from "services/ml/geom";
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import {
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Box,
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Dimensions,
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Point,
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boxFromBoundingBox,
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newBox,
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} from "services/ml/geom";
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import {
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FaceDetection,
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FaceDetectionMethod,
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@ -14,13 +20,11 @@ import {
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scale,
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translate,
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} from "transformation-matrix";
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import { Dimensions } from "services/ml/geom";
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import {
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clamp,
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getPixelBilinear,
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normalizePixelBetween0And1,
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} from "utils/image";
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import { newBox } from "utils/machineLearning";
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class YoloFaceDetectionService implements FaceDetectionService {
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public method: Versioned<FaceDetectionMethod>;
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@ -21,8 +21,8 @@ export class Point {
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}
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export interface Dimensions {
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width: number;
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height: number;
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width: number;
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height: number;
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}
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export interface IBoundingBox {
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@ -39,6 +39,10 @@ export interface IRect {
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height: number;
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}
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export function newBox(x: number, y: number, width: number, height: number) {
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return new Box({ x, y, width, height });
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}
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export const boxFromBoundingBox = ({
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left,
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top,
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@ -18,20 +18,12 @@ import { getRenderableImage } from "utils/file";
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import { clamp, warpAffineFloat32List } from "utils/image";
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import mlIDbStorage from "utils/storage/mlIDbStorage";
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export function newBox(x: number, y: number, width: number, height: number) {
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return new Box({ x, y, width, height });
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}
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function getBoxCenterPt(topLeft: Point, bottomRight: Point): Point {
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return topLeft.add(bottomRight.sub(topLeft).div(new Point(2, 2)));
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}
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function getBoxCenter(box: Box): Point {
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return getBoxCenterPt(box.topLeft, box.bottomRight);
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}
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export function enlargeBox(box: Box, factor: number = 1.5) {
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const center = getBoxCenter(box);
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const center = getBoxCenterPt(box.topLeft, box.bottomRight);
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const size = new Point(box.width, box.height);
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const newHalfSize = new Point((factor * size.x) / 2, (factor * size.y) / 2);
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