Rename and merge

This commit is contained in:
Manav Rathi
2024-07-04 09:57:31 +05:30
parent 52cd2d30a1
commit b04538ada2
8 changed files with 175 additions and 186 deletions

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@@ -3,7 +3,7 @@ import {
getLocalTrashedFiles,
} from "@/new/photos/services/files";
import type { EmbeddingModel } from "@/new/photos/services/ml/embedding";
import type { FaceIndex } from "@/new/photos/services/ml/types";
import type { FaceIndex } from "@/new/photos/services/ml/face";
import { EnteFile } from "@/new/photos/types/file";
import { inWorker } from "@/next/env";
import log from "@/next/log";

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@@ -1,7 +1,6 @@
import type { Box } from "@/new/photos/services/ml/types";
import { blobCache } from "@/next/blob-cache";
import { ensure } from "@/utils/ensure";
import type { FaceAlignment } from "./index-face";
import type { Box, FaceAlignment } from "./face";
/**
* Return the rectangle ("crop") of the original image that contains the face

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@@ -1,6 +1,6 @@
import log from "@/next/log";
import { deleteDB, openDB, type DBSchema } from "idb";
import type { FaceIndex } from "./types";
import type { FaceIndex } from "./face";
/**
* Face DB schema.

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@@ -13,8 +13,7 @@ import log from "@/next/log";
import { apiURL } from "@/next/origins";
import { z } from "zod";
import { saveFaceIndex } from "./db";
import { faceIndexingVersion } from "./index-face";
import { type FaceIndex } from "./types";
import { type FaceIndex, faceIndexingVersion } from "./face";
/**
* The embeddings that we (the current client) knows how to handle.

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@@ -10,12 +10,7 @@
import { FILE_TYPE } from "@/media/file-type";
import { decodeLivePhoto } from "@/media/live-photo";
import DownloadManager from "@/new/photos/services/download";
import type {
Box,
Dimensions,
Face,
Point,
} from "@/new/photos/services/ml/types";
import type { EnteFile } from "@/new/photos/types/file";
import { getRenderableImage } from "@/new/photos/utils/file";
import log from "@/next/log";
@@ -43,6 +38,166 @@ import {
*/
export const faceIndexingVersion = 1;
/**
* The faces in a file (and an embedding for each of them).
*
* This interface describes the format of both local and remote face data.
*
* - Local face detections and embeddings (collectively called as the face
* index) are generated by the current client when uploading a file (or when
* noticing a file which doesn't yet have a face index), stored in the local
* IndexedDB ("ml/db") and also uploaded (E2EE) to remote.
*
* - Remote embeddings are fetched by subsequent clients to avoid them having to
* reindex (indexing faces is a costly operation, esp for mobile clients).
*
* In both these scenarios (whether generated locally or fetched from remote),
* we end up with an face index described by this {@link FaceIndex} interface.
*
* It has a top level envelope with information about the file (in particular
* the primary key {@link fileID}), an inner envelope {@link faceEmbedding} with
* metadata about the indexing, and an array of {@link faces} each containing
* the result of a face detection and an embedding for that detected face.
*
* The word embedding is used to refer two things: The last one (faceEmbedding >
* faces > embedding) is the "actual" embedding, but sometimes we colloquially
* refer to the inner envelope (the "faceEmbedding") also an embedding since a
* file can have other types of embedding (envelopes), e.g. a "clipEmbedding".
*/
export interface FaceIndex {
/**
* The ID of the {@link EnteFile} whose index this is.
*
* This is used as the primary key when storing the index locally (An
* {@link EnteFile} is guaranteed to have its fileID be unique in the
* namespace of the user. Even if someone shares a file with the user the
* user will get a file entry with a fileID unique to them).
*/
fileID: number;
/**
* The width (in px) of the image (file).
*/
width: number;
/**
* The height (in px) of the image (file).
*/
height: number;
/**
* The "face embedding" for the file.
*
* This is an envelope that contains a list of indexed faces and metadata
* about the indexing.
*/
faceEmbedding: {
/**
* An integral version number of the indexing algorithm / pipeline.
*
* Clients agree out of band what a particular version means. The
* guarantee is that an embedding with a particular version will be the
* same (to negligible floating point epsilons) irrespective of the
* client that indexed the file.
*/
version: number;
/** The UA for the client which generated this embedding. */
client: string;
/** The list of faces (and their embeddings) detected in the file. */
faces: Face[];
};
}
/**
* A face detected in a file, and an embedding for this detected face.
*
* During face indexing, we first detect all the faces in a particular file.
* Then for each such detected region, we compute an embedding of that part of
* the file. Together, this detection region and the emedding travel together in
* this {@link Face} interface.
*/
export interface Face {
/**
* A unique identifier for the face.
*
* This ID is guaranteed to be unique for all the faces detected in all the
* files for the user. In particular, each file can have multiple faces but
* they all will get their own unique {@link faceID}.
*/
faceID: string;
/**
* The face detection. Describes the region within the image that was
* detected to be a face, and a set of landmarks (e.g. "eyes") of the
* detection.
*
* All coordinates are relative to and normalized by the image's dimension,
* i.e. they have been normalized to lie between 0 and 1, with 0 being the
* left (or top) and 1 being the width (or height) of the image.
*/
detection: {
/**
* The region within the image that contains the face.
*
* All coordinates and sizes are between 0 and 1, normalized by the
* dimensions of the image.
* */
box: Box;
/**
* Face "landmarks", e.g. eyes.
*
* The exact landmarks and their order depends on the face detection
* algorithm being used.
*
* The coordinatesare between 0 and 1, normalized by the dimensions of
* the image.
*/
landmarks: Point[];
};
/**
* An correctness probability (0 to 1) that the face detection algorithm
* gave to the detection. Higher values are better.
*/
score: number;
/**
* The computed blur for the detected face.
*
* The exact semantics and range for these (floating point) values depend on
* the face indexing algorithm / pipeline version being used.
* */
blur: number;
/**
* An embedding for the face.
*
* This is an opaque numeric (signed floating point) vector whose semantics
* and length depend on the version of the face indexing algorithm /
* pipeline that we are using. However, within a set of embeddings with the
* same version, the property is that two such embedding vectors will be
* "cosine similar" to each other if they are both faces of the same person.
*/
embedding: number[];
}
/** The x and y coordinates of a point. */
export interface Point {
x: number;
y: number;
}
/** The dimensions of something, say an image. */
export interface Dimensions {
width: number;
height: number;
}
/** A rectangle given by its top left coordinates and dimensions. */
export interface Box {
/** The x coordinate of the the top left (xMin). */
x: number;
/** The y coodinate of the top left (yMin). */
y: number;
/** The width of the box. */
width: number;
/** The height of the box. */
height: number;
}
/**
* Index faces in the given file.
*

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@@ -7,16 +7,12 @@ import {
isBetaUser,
isInternalUser,
} from "@/new/photos/services/feature-flags";
import {
clearFaceDB,
faceIndex,
indexableAndIndexedCounts,
} from "@/new/photos/services/ml/db";
import type { EnteFile } from "@/new/photos/types/file";
import { clientPackageName, isDesktop } from "@/next/app";
import { ensureElectron } from "@/next/electron";
import log from "@/next/log";
import { ComlinkWorker } from "@/next/worker/comlink-worker";
import { clearFaceDB, faceIndex, indexableAndIndexedCounts } from "./db";
import { MLWorker } from "./worker";
/**

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@@ -1,159 +0,0 @@
/**
* The faces in a file (and an embedding for each of them).
*
* This interface describes the format of both local and remote face data.
*
* - Local face detections and embeddings (collectively called as the face
* index) are generated by the current client when uploading a file (or when
* noticing a file which doesn't yet have a face index), stored in the local
* IndexedDB ("ml/db") and also uploaded (E2EE) to remote.
*
* - Remote embeddings are fetched by subsequent clients to avoid them having to
* reindex (indexing faces is a costly operation, esp for mobile clients).
*
* In both these scenarios (whether generated locally or fetched from remote),
* we end up with an face index described by this {@link FaceIndex} interface.
*
* It has a top level envelope with information about the file (in particular
* the primary key {@link fileID}), an inner envelope {@link faceEmbedding} with
* metadata about the indexing, and an array of {@link faces} each containing
* the result of a face detection and an embedding for that detected face.
*
* The word embedding is used to refer two things: The last one (faceEmbedding >
* faces > embedding) is the "actual" embedding, but sometimes we colloquially
* refer to the inner envelope (the "faceEmbedding") also an embedding since a
* file can have other types of embedding (envelopes), e.g. a "clipEmbedding".
*/
export interface FaceIndex {
/**
* The ID of the {@link EnteFile} whose index this is.
*
* This is used as the primary key when storing the index locally (An
* {@link EnteFile} is guaranteed to have its fileID be unique in the
* namespace of the user. Even if someone shares a file with the user the
* user will get a file entry with a fileID unique to them).
*/
fileID: number;
/**
* The width (in px) of the image (file).
*/
width: number;
/**
* The height (in px) of the image (file).
*/
height: number;
/**
* The "face embedding" for the file.
*
* This is an envelope that contains a list of indexed faces and metadata
* about the indexing.
*/
faceEmbedding: {
/**
* An integral version number of the indexing algorithm / pipeline.
*
* Clients agree out of band what a particular version means. The
* guarantee is that an embedding with a particular version will be the
* same (to negligible floating point epsilons) irrespective of the
* client that indexed the file.
*/
version: number;
/** The UA for the client which generated this embedding. */
client: string;
/** The list of faces (and their embeddings) detected in the file. */
faces: Face[];
};
}
/**
* A face detected in a file, and an embedding for this detected face.
*
* During face indexing, we first detect all the faces in a particular file.
* Then for each such detected region, we compute an embedding of that part of
* the file. Together, this detection region and the emedding travel together in
* this {@link Face} interface.
*/
export interface Face {
/**
* A unique identifier for the face.
*
* This ID is guaranteed to be unique for all the faces detected in all the
* files for the user. In particular, each file can have multiple faces but
* they all will get their own unique {@link faceID}.
*/
faceID: string;
/**
* The face detection. Describes the region within the image that was
* detected to be a face, and a set of landmarks (e.g. "eyes") of the
* detection.
*
* All coordinates are relative to and normalized by the image's dimension,
* i.e. they have been normalized to lie between 0 and 1, with 0 being the
* left (or top) and 1 being the width (or height) of the image.
*/
detection: {
/**
* The region within the image that contains the face.
*
* All coordinates and sizes are between 0 and 1, normalized by the
* dimensions of the image.
* */
box: Box;
/**
* Face "landmarks", e.g. eyes.
*
* The exact landmarks and their order depends on the face detection
* algorithm being used.
*
* The coordinatesare between 0 and 1, normalized by the dimensions of
* the image.
*/
landmarks: Point[];
};
/**
* An correctness probability (0 to 1) that the face detection algorithm
* gave to the detection. Higher values are better.
*/
score: number;
/**
* The computed blur for the detected face.
*
* The exact semantics and range for these (floating point) values depend on
* the face indexing algorithm / pipeline version being used.
* */
blur: number;
/**
* An embedding for the face.
*
* This is an opaque numeric (signed floating point) vector whose semantics
* and length depend on the version of the face indexing algorithm /
* pipeline that we are using. However, within a set of embeddings with the
* same version, the property is that two such embedding vectors will be
* "cosine similar" to each other if they are both faces of the same person.
*/
embedding: number[];
}
/** The x and y coordinates of a point. */
export interface Point {
x: number;
y: number;
}
/** The dimensions of something, say an image. */
export interface Dimensions {
width: number;
height: number;
}
/** A rectangle given by its top left coordinates and dimensions. */
export interface Box {
/** The x coordinate of the the top left (xMin). */
x: number;
/** The y coodinate of the top left (yMin). */
y: number;
/** The width of the box. */
width: number;
/** The height of the box. */
height: number;
}

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@@ -1,22 +1,21 @@
import downloadManager from "@/new/photos/services/download";
import {
indexableFileIDs,
markIndexingFailed,
saveFaceIndex,
updateAssumingLocalFiles,
} from "@/new/photos/services/ml/db";
import type { FaceIndex } from "@/new/photos/services/ml/types";
import type { EnteFile } from "@/new/photos/types/file";
import { fileLogID } from "@/new/photos/utils/file";
import { getKVN } from "@/next/kv";
import { ensureAuthToken } from "@/next/local-user";
import log from "@/next/log";
import { ensure } from "@/utils/ensure";
import { wait } from "@/utils/promise";
import { expose } from "comlink";
import { fileLogID } from "../../utils/file";
import downloadManager from "../download";
import { getAllLocalFiles, getLocalTrashedFiles } from "../files";
import {
indexableFileIDs,
markIndexingFailed,
saveFaceIndex,
updateAssumingLocalFiles,
} from "./db";
import { pullFaceEmbeddings, putFaceIndex } from "./embedding";
import { indexFaces } from "./index-face";
import { type FaceIndex, indexFaces } from "./face";
const idleDurationStart = 5; /* 5 seconds */
const idleDurationMax = 16 * 60; /* 16 minutes */