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This commit is contained in:
Manav Rathi 2024-05-19 12:10:53 +05:30
parent e6ed6b4916
commit b36d3befe0
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5 changed files with 40 additions and 41 deletions
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3
web/apps/photos/src/services/face/f-index.ts
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@ -15,11 +15,10 @@ import {
import { defaultMLVersion } from "services/machineLearning/machineLearningService";
import { getSimilarityTransformation } from "similarity-transformation";
import type { EnteFile } from "types/file";
import { fetchImageBitmap, getLocalFileImageBitmap } from "./file";
import {
clamp,
createGrayscaleIntMatrixFromNormalized2List,
fetchImageBitmap,
getLocalFileImageBitmap,
pixelRGBBilinear,
warpAffineFloat32List,
} from "./image";

37
web/apps/photos/src/services/face/file.ts Normal file
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@ -0,0 +1,37 @@
import { FILE_TYPE } from "@/media/file-type";
import { decodeLivePhoto } from "@/media/live-photo";
import DownloadManager from "services/download";
import { getLocalFiles } from "services/fileService";
import { EnteFile } from "types/file";
import { getRenderableImage } from "utils/file";
export async function getLocalFile(fileId: number) {
const localFiles = await getLocalFiles();
return localFiles.find((f) => f.id === fileId);
}
export const fetchImageBitmap = async (file: EnteFile) =>
fetchRenderableBlob(file).then(createImageBitmap);
async function fetchRenderableBlob(file: EnteFile) {
const fileStream = await DownloadManager.getFile(file);
const fileBlob = await new Response(fileStream).blob();
if (file.metadata.fileType === FILE_TYPE.IMAGE) {
return await getRenderableImage(file.metadata.title, fileBlob);
} else {
const { imageFileName, imageData } = await decodeLivePhoto(
file.metadata.title,
fileBlob,
);
return await getRenderableImage(imageFileName, new Blob([imageData]));
}
}
export async function getLocalFileImageBitmap(
enteFile: EnteFile,
localFile: globalThis.File,
) {
let fileBlob = localFile as Blob;
fileBlob = await getRenderableImage(enteFile.metadata.title, fileBlob);
return createImageBitmap(fileBlob);
}

37
web/apps/photos/src/services/face/image.ts
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@ -1,11 +1,5 @@
import { FILE_TYPE } from "@/media/file-type";
import { decodeLivePhoto } from "@/media/live-photo";
import { Matrix, inverse } from "ml-matrix";
import DownloadManager from "services/download";
import { FaceAlignment } from "services/face/types";
import { getLocalFiles } from "services/fileService";
import { EnteFile } from "types/file";
import { getRenderableImage } from "utils/file";
/**
* Clamp {@link value} to between {@link min} and {@link max}, inclusive.
@ -13,37 +7,6 @@ import { getRenderableImage } from "utils/file";
export const clamp = (value: number, min: number, max: number) =>
Math.min(max, Math.max(min, value));
export async function getLocalFile(fileId: number) {
const localFiles = await getLocalFiles();
return localFiles.find((f) => f.id === fileId);
}
export const fetchImageBitmap = async (file: EnteFile) =>
fetchRenderableBlob(file).then(createImageBitmap);
async function fetchRenderableBlob(file: EnteFile) {
const fileStream = await DownloadManager.getFile(file);
const fileBlob = await new Response(fileStream).blob();
if (file.metadata.fileType === FILE_TYPE.IMAGE) {
return await getRenderableImage(file.metadata.title, fileBlob);
} else {
const { imageFileName, imageData } = await decodeLivePhoto(
file.metadata.title,
fileBlob,
);
return await getRenderableImage(imageFileName, new Blob([imageData]));
}
}
export async function getLocalFileImageBitmap(
enteFile: EnteFile,
localFile: globalThis.File,
) {
let fileBlob = localFile as Blob;
fileBlob = await getRenderableImage(enteFile.metadata.title, fileBlob);
return createImageBitmap(fileBlob);
}
/**
* Returns the pixel value (RGB) at the given coordinates ({@link fx},
* {@link fy}) using bicubic interpolation.

2
web/apps/photos/src/services/face/people.ts
View file

@ -3,7 +3,7 @@ import mlIDbStorage from "services/face/db";
import { Person } from "services/face/types";
import { clusterFaces } from "./cluster";
import { saveFaceCrop } from "./f-index";
import { fetchImageBitmap, getLocalFile } from "./image";
import { fetchImageBitmap, getLocalFile } from "./file";
export const syncPeopleIndex = async () => {
// TODO-ML(MR): Forced disable clustering. It doesn't currently work,

2
web/apps/photos/src/services/machineLearning/machineLearningService.ts
View file

@ -9,7 +9,7 @@ import { CustomError, parseUploadErrorCodes } from "@ente/shared/error";
import PQueue from "p-queue";
import { putEmbedding } from "services/embeddingService";
import mlIDbStorage, { ML_SEARCH_CONFIG_NAME } from "services/face/db";
import { fetchImageBitmap, getLocalFile } from "services/face/image";
import { fetchImageBitmap, getLocalFile } from "services/face/file";
import { Face, FaceDetection, Landmark, MlFileData } from "services/face/types";
import { getLocalFiles } from "services/fileService";
import { EnteFile } from "types/file";