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@ -38,18 +38,18 @@ import { transformFaceDetections } from "./transform-box";
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* 1. Downloading the original if needed.
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* 1. Downloading the original if needed.
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* 2. Detect faces using ONNX/YOLO
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* 2. Detect faces using ONNX/YOLO
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* 3. Align the face rectangles, compute blur.
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* 3. Align the face rectangles, compute blur.
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* 4. Compute embbeddings for the detected face (crops).
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* 4. Compute embeddings for the detected face (crops).
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*
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*
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* Once all of it is done, it returns the face rectangles and embeddings to the
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* Once all of it is done, it returns the face rectangles and embeddings so that
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* higher layer (which saves them to locally for offline use, and encrypts and
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* they can be saved locally for offline use, and encrypts and uploads them to
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* uploads them to the user's remote storage so that their other devices can
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* the user's remote storage so that their other devices can download them
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* download them instead of needing to reindex).
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* instead of needing to reindex.
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*/
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*/
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export const indexFaces = async (
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export const indexFaces = async (
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enteFile: EnteFile,
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enteFile: EnteFile,
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localFile?: globalThis.File,
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localFile?: globalThis.File,
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) => {
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) => {
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log.debug(() => ({ a: "Indexing faces in file", enteFile }));
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const startTime = Date.now();
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const fileContext: MLSyncFileContext = { enteFile, localFile };
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const fileContext: MLSyncFileContext = { enteFile, localFile };
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const newMlFile = (fileContext.newMlFile = {
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const newMlFile = (fileContext.newMlFile = {
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@ -66,6 +66,8 @@ export const indexFaces = async (
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fileContext.imageBitmap && fileContext.imageBitmap.close();
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fileContext.imageBitmap && fileContext.imageBitmap.close();
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}
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}
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const ms = Math.round(Date.now() - startTime);
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log.debug(() => `Indexing faces in file ${enteFile.id} took ${ms} ms`);
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return newMlFile;
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return newMlFile;
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};
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};
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@ -103,8 +105,6 @@ const fetchImageBitmapForContext = async (fileContext: MLSyncFileContext) => {
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const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => {
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const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => {
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const { newMlFile } = fileContext;
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const { newMlFile } = fileContext;
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const startTime = Date.now();
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await syncFileFaceDetections(fileContext);
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await syncFileFaceDetections(fileContext);
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if (newMlFile.faces && newMlFile.faces.length > 0) {
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if (newMlFile.faces && newMlFile.faces.length > 0) {
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@ -116,10 +116,6 @@ const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => {
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await syncFileFaceMakeRelativeDetections(fileContext);
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await syncFileFaceMakeRelativeDetections(fileContext);
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}
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}
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log.debug(
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() =>
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`Face detection for file ${fileContext.enteFile.id} took ${Math.round(Date.now() - startTime)} ms`,
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);
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};
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};
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const syncFileFaceDetections = async (fileContext: MLSyncFileContext) => {
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const syncFileFaceDetections = async (fileContext: MLSyncFileContext) => {
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