beenull/ente
1
0
Fork 0
Code Issues Pull requests Actions Packages Projects Releases Wiki Activity

Remove unused exports

Browse source
This commit is contained in:
Manav Rathi 2024-05-18 09:18:32 +05:30
parent 87f60149e1
commit 58193c0d7f
No known key found for this signature in database
1 changed files with 8 additions and 11 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

19
web/apps/photos/src/services/face/f-index.ts
View file

@ -70,7 +70,7 @@ export const indexFaces = async (
return newMlFile; return newMlFile;
}; };
export const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => { const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => {
const { newMlFile } = fileContext; const { newMlFile } = fileContext;
const startTime = Date.now(); const startTime = Date.now();
@ -118,7 +118,7 @@ const syncFileFaceDetections = async (fileContext: MLSyncFileContext) => {
* *
* The model used is YOLO, running in an ONNX runtime. * The model used is YOLO, running in an ONNX runtime.
*/ */
export const detectFaces = async ( const detectFaces = async (
imageBitmap: ImageBitmap, imageBitmap: ImageBitmap,
): Promise<Array<FaceDetection>> => { ): Promise<Array<FaceDetection>> => {
const maxFaceDistancePercent = Math.sqrt(2) / 100; const maxFaceDistancePercent = Math.sqrt(2) / 100;
@ -284,7 +284,7 @@ const getFacesFromYOLOOutput = (
return faces; return faces;
}; };
export const getRelativeDetection = ( const getRelativeDetection = (
faceDetection: FaceDetection, faceDetection: FaceDetection,
dimensions: Dimensions, dimensions: Dimensions,
): FaceDetection => { ): FaceDetection => {
@ -429,7 +429,7 @@ const ARC_FACE_5_LANDMARKS = [
* *
* @param faceDetection A geometry indicating a face detected in an image. * @param faceDetection A geometry indicating a face detected in an image.
*/ */
export const faceAlignment = (faceDetection: FaceDetection): FaceAlignment => { const faceAlignment = (faceDetection: FaceDetection): FaceAlignment => {
const landmarkCount = faceDetection.landmarks.length; const landmarkCount = faceDetection.landmarks.length;
return getFaceAlignmentUsingSimilarityTransform( return getFaceAlignmentUsingSimilarityTransform(
faceDetection, faceDetection,
@ -494,10 +494,7 @@ function normalizeLandmarks(
/** /**
* Laplacian blur detection. * Laplacian blur detection.
*/ */
export const detectBlur = ( const detectBlur = (alignedFaces: Float32Array, faces: Face[]): number[] => {
alignedFaces: Float32Array,
faces: Face[],
): number[] => {
const numFaces = Math.round( const numFaces = Math.round(
alignedFaces.length / alignedFaces.length /
(mobileFaceNetFaceSize * mobileFaceNetFaceSize * 3), (mobileFaceNetFaceSize * mobileFaceNetFaceSize * 3),
@ -690,14 +687,14 @@ const syncFileFaceEmbeddings = async (
log.info("[MLService] facesWithEmbeddings: ", newMlFile.faces.length); log.info("[MLService] facesWithEmbeddings: ", newMlFile.faces.length);
}; };
export const mobileFaceNetFaceSize = 112; const mobileFaceNetFaceSize = 112;
/** /**
* Compute embeddings for the given {@link faceData}. * Compute embeddings for the given {@link faceData}.
* *
* The model used is MobileFaceNet, running in an ONNX runtime. * The model used is MobileFaceNet, running in an ONNX runtime.
*/ */
export const faceEmbeddings = async ( const faceEmbeddings = async (
faceData: Float32Array, faceData: Float32Array,
): Promise<Array<FaceEmbedding>> => { ): Promise<Array<FaceEmbedding>> => {
const outputData = await workerBridge.faceEmbeddings(faceData); const outputData = await workerBridge.faceEmbeddings(faceData);
@ -741,7 +738,7 @@ export const saveFaceCrop = async (imageBitmap: ImageBitmap, face: Face) => {
return blob; return blob;
}; };
export const getFaceCrop = ( const getFaceCrop = (
imageBitmap: ImageBitmap, imageBitmap: ImageBitmap,
faceDetection: FaceDetection, faceDetection: FaceDetection,
): FaceCrop => { ): FaceCrop => {