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Remove unused exports

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This commit is contained in:
Manav Rathi 2024-05-18 09:18:32 +05:30
parent 87f60149e1
commit 58193c0d7f
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1 changed files with 8 additions and 11 deletions
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19
web/apps/photos/src/services/face/f-index.ts
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@ -70,7 +70,7 @@ export const indexFaces = async (
return newMlFile;
};
export const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => {
const syncFileAnalyzeFaces = async (fileContext: MLSyncFileContext) => {
const { newMlFile } = fileContext;
const startTime = Date.now();
@ -118,7 +118,7 @@ const syncFileFaceDetections = async (fileContext: MLSyncFileContext) => {
*
* The model used is YOLO, running in an ONNX runtime.
*/
export const detectFaces = async (
const detectFaces = async (
imageBitmap: ImageBitmap,
): Promise<Array<FaceDetection>> => {
const maxFaceDistancePercent = Math.sqrt(2) / 100;
@ -284,7 +284,7 @@ const getFacesFromYOLOOutput = (
return faces;
};
export const getRelativeDetection = (
const getRelativeDetection = (
faceDetection: FaceDetection,
dimensions: Dimensions,
): FaceDetection => {
@ -429,7 +429,7 @@ const ARC_FACE_5_LANDMARKS = [
*
* @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;
return getFaceAlignmentUsingSimilarityTransform(
faceDetection,
@ -494,10 +494,7 @@ function normalizeLandmarks(
/**
* Laplacian blur detection.
*/
export const detectBlur = (
alignedFaces: Float32Array,
faces: Face[],
): number[] => {
const detectBlur = (alignedFaces: Float32Array, faces: Face[]): number[] => {
const numFaces = Math.round(
alignedFaces.length /
(mobileFaceNetFaceSize * mobileFaceNetFaceSize * 3),
@ -690,14 +687,14 @@ const syncFileFaceEmbeddings = async (
log.info("[MLService] facesWithEmbeddings: ", newMlFile.faces.length);
};
export const mobileFaceNetFaceSize = 112;
const mobileFaceNetFaceSize = 112;
/**
* Compute embeddings for the given {@link faceData}.
*
* The model used is MobileFaceNet, running in an ONNX runtime.
*/
export const faceEmbeddings = async (
const faceEmbeddings = async (
faceData: Float32Array,
): Promise<Array<FaceEmbedding>> => {
const outputData = await workerBridge.faceEmbeddings(faceData);
@ -741,7 +738,7 @@ export const saveFaceCrop = async (imageBitmap: ImageBitmap, face: Face) => {
return blob;
};
export const getFaceCrop = (
const getFaceCrop = (
imageBitmap: ImageBitmap,
faceDetection: FaceDetection,
): FaceCrop => {