Inline

web/apps/photos/src/services/machineLearning/yoloFaceDetectionService.ts

@@ -14,7 +14,7 @@ import {
     scale,
     translate,
 } from "transformation-matrix";
-import { Dimensions } from "types/image";
+import { Dimensions } from "services/ml/geom";
 import {
     clamp,
     getPixelBilinear,

web/apps/photos/src/services/ml/geom.ts

@@ -20,6 +20,11 @@ export class Point {
     }
 }
 
+export interface Dimensions {
+  width: number;
+  height: number;
+}
+
 export interface IBoundingBox {
     left: number;
     top: number;
@@ -99,10 +104,3 @@ export class Box implements IRect {
         return new Box({ x, y, width, height });
     }
 }
-
-export function isValidNumber(num: any) {
-    return (
-        (!!num && num !== Infinity && num !== -Infinity && !isNaN(num)) ||
-        num === 0
-    );
-}

web/apps/photos/src/services/ml/types.ts

@@ -1,7 +1,7 @@
 import { DebugInfo } from "hdbscan";
 import PQueue from "p-queue";
 import { EnteFile } from "types/file";
-import { Dimensions } from "types/image";
+import { Dimensions } from "services/ml/geom";
 import { Box, Point } from "./geom";
 
 export interface MLSyncResult {

web/apps/photos/src/types/image/index.ts

@@ -1,9 +0,0 @@
-export interface Dimensions {
-    width: number;
-    height: number;
-}
-
-export interface BlobOptions {
-    type?: string;
-    quality?: number;
-}

web/apps/photos/src/utils/image/index.ts

@@ -1,10 +1,9 @@
 // these utils only work in env where OffscreenCanvas is available
 
 import { Matrix, inverse } from "ml-matrix";
+import { Box, Dimensions } from "services/ml/geom";
 import { FaceAlignment } from "services/ml/types";
-import { BlobOptions, Dimensions } from "types/image";
 import { enlargeBox } from "utils/machineLearning";
-import { Box } from "services/ml/geom";
 
 export function normalizePixelBetween0And1(pixelValue: number) {
     return pixelValue / 255.0;
@@ -447,6 +446,11 @@ export function addPadding(image: ImageBitmap, padding: number) {
     return offscreen.transferToImageBitmap();
 }
 
+export interface BlobOptions {
+    type?: string;
+    quality?: number;
+}
+
 export async function imageBitmapToBlob(
     imageBitmap: ImageBitmap,
     options?: BlobOptions,

web/apps/photos/src/utils/machineLearning/index.ts

@@ -4,7 +4,7 @@ import log from "@/next/log";
 import PQueue from "p-queue";
 import DownloadManager from "services/download";
 import { getLocalFiles } from "services/fileService";
-import { Box, Point, boxFromBoundingBox } from "services/ml/geom";
+import { Box, Dimensions, Point, boxFromBoundingBox } from "services/ml/geom";
 import {
     DetectedFace,
     Face,
@@ -14,7 +14,6 @@ import {
     Versioned,
 } from "services/ml/types";
 import { EnteFile } from "types/file";
-import { Dimensions } from "types/image";
 import { getRenderableImage } from "utils/file";
 import { clamp, warpAffineFloat32List } from "utils/image";
 import mlIDbStorage from "utils/storage/mlIDbStorage";
@@ -23,11 +22,11 @@ export function newBox(x: number, y: number, width: number, height: number) {
     return new Box({ x, y, width, height });
 }
 
-export function getBoxCenterPt(topLeft: Point, bottomRight: Point): Point {
+function getBoxCenterPt(topLeft: Point, bottomRight: Point): Point {
     return topLeft.add(bottomRight.sub(topLeft).div(new Point(2, 2)));
 }
 
-export function getBoxCenter(box: Box): Point {
+function getBoxCenter(box: Box): Point {
     return getBoxCenterPt(box.topLeft, box.bottomRight);
 }