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Manav Rathi 2024-04-11 12:10:02 +05:30
parent 38e9e901f6
commit 6ba5852876
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1 changed files with 11 additions and 172 deletions
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183
web/apps/photos/src/utils/machineLearning/faceCrop.ts
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@ -1,23 +1,16 @@
import log from "@/next/log";
import { CacheStorageService } from "@ente/shared/storage/cacheStorage";
import { CACHES } from "@ente/shared/storage/cacheStorage/constants";
import { getBlobFromCache } from "@ente/shared/storage/cacheStorage/helpers";
import { compose, Matrix, scale, translate } from "transformation-matrix";
import { BlobOptions, Dimensions } from "types/image";
import { BlobOptions } from "types/image";
import {
AlignedFace,
FaceAlignment,
FaceCrop,
FaceCropConfig,
FaceDetection,
MlFileData,
StoredFaceCrop,
} from "types/machineLearning";
import { cropWithRotation, imageBitmapToBlob } from "utils/image";
import { enlargeBox } from ".";
import { Box } from "../../../thirdparty/face-api/classes";
import { getAlignedFaceBox } from "./faceAlign";
import { transformBox, transformPoints } from "./transform";
export function getFaceCrop(
imageBitmap: ImageBitmap,
@ -38,7 +31,16 @@ export function getFaceCrop(
};
}
export async function storeFaceCropForBlob(
export async function storeFaceCrop(
faceId: string,
faceCrop: FaceCrop,
blobOptions: BlobOptions,
): Promise<StoredFaceCrop> {
const faceCropBlob = await imageBitmapToBlob(faceCrop.image, blobOptions);
return storeFaceCropForBlob(faceId, faceCrop.imageBox, faceCropBlob);
}
async function storeFaceCropForBlob(
faceId: string,
imageBox: Box,
faceCropBlob: Blob,
@ -52,166 +54,3 @@ export async function storeFaceCropForBlob(
imageBox: imageBox,
};
}
export async function storeFaceCrop(
faceId: string,
faceCrop: FaceCrop,
blobOptions: BlobOptions,
): Promise<StoredFaceCrop> {
const faceCropBlob = await imageBitmapToBlob(faceCrop.image, blobOptions);
return storeFaceCropForBlob(faceId, faceCrop.imageBox, faceCropBlob);
}
export async function getFaceCropBlobFromStorage(
storedFaceCrop: StoredFaceCrop,
): Promise<Blob> {
return getBlobFromCache(CACHES.FACE_CROPS, storedFaceCrop.imageUrl);
}
export async function getFaceCropFromStorage(
storedFaceCrop: StoredFaceCrop,
): Promise<FaceCrop> {
const faceCropBlob = await getFaceCropBlobFromStorage(storedFaceCrop);
const faceCropImage = await createImageBitmap(faceCropBlob);
return {
image: faceCropImage,
imageBox: storedFaceCrop.imageBox,
};
}
export async function removeOldFaceCrops(
oldMLFileData: MlFileData,
newMLFileData: MlFileData,
) {
const newFaceCropUrls =
newMLFileData?.faces
?.map((f) => f.crop?.imageUrl)
?.filter((fc) => fc !== null && fc !== undefined) || [];
const oldFaceCropUrls =
oldMLFileData?.faces
?.map((f) => f.crop?.imageUrl)
?.filter((fc) => fc !== null && fc !== undefined) || [];
const unusedFaceCropUrls = oldFaceCropUrls.filter(
(oldUrl) => !newFaceCropUrls.includes(oldUrl),
);
if (!unusedFaceCropUrls || unusedFaceCropUrls.length < 1) {
return;
}
return removeFaceCropUrls(unusedFaceCropUrls);
}
export async function removeFaceCropUrls(faceCropUrls: Array<string>) {
log.info("Removing face crop urls: ", JSON.stringify(faceCropUrls));
const faceCropCache = await CacheStorageService.open(CACHES.FACE_CROPS);
const urlRemovalPromises = faceCropUrls?.map((url) =>
faceCropCache.delete(url),
);
return urlRemovalPromises && Promise.all(urlRemovalPromises);
}
export function extractFaceImageFromCrop(
faceCrop: FaceCrop,
box: Box,
rotation: number,
faceSize: number,
): ImageBitmap {
const faceCropImage = faceCrop?.image;
let imageBox = faceCrop?.imageBox;
if (!faceCropImage || !imageBox) {
throw Error("Face crop not present");
}
// TODO: Have better serialization to avoid creating new object manually when calling class methods
imageBox = new Box(imageBox);
const scale = faceCropImage.width / imageBox.width;
const transformedBox = box
.shift(-imageBox.x, -imageBox.y)
.rescale(scale)
.round();
// log.info({ box, imageBox, faceCropImage, scale, scaledBox, scaledImageBox, shiftedBox });
const faceSizeDimentions: Dimensions = {
width: faceSize,
height: faceSize,
};
const faceImage = cropWithRotation(
faceCropImage,
transformedBox,
rotation,
faceSizeDimentions,
faceSizeDimentions,
);
return faceImage;
}
export async function ibExtractFaceImageFromCrop(
faceCrop: FaceCrop,
alignment: FaceAlignment,
faceSize: number,
): Promise<ImageBitmap> {
const box = getAlignedFaceBox(alignment);
return extractFaceImageFromCrop(
faceCrop,
box,
alignment.rotation,
faceSize,
);
}
export async function ibExtractFaceImagesFromCrops(
faces: Array<AlignedFace>,
faceSize: number,
): Promise<Array<ImageBitmap>> {
const faceImagePromises = faces.map(async (alignedFace) => {
const faceCrop = await getFaceCropFromStorage(alignedFace.crop);
return ibExtractFaceImageFromCrop(
faceCrop,
alignedFace.alignment,
faceSize,
);
});
return Promise.all(faceImagePromises);
}
export function transformFace(faceDetection: FaceDetection, transform: Matrix) {
return {
...faceDetection,
box: transformBox(faceDetection.box, transform),
landmarks: transformPoints(faceDetection.landmarks, transform),
};
}
export function transformToFaceCropDims(
faceCrop: FaceCrop,
faceDetection: FaceDetection,
) {
const imageBox = new Box(faceCrop.imageBox);
const transform = compose(
scale(faceCrop.image.width / imageBox.width),
translate(-imageBox.x, -imageBox.y),
);
return transformFace(faceDetection, transform);
}
export function transformToImageDims(
faceCrop: FaceCrop,
faceDetection: FaceDetection,
) {
const imageBox = new Box(faceCrop.imageBox);
const transform = compose(
translate(imageBox.x, imageBox.y),
scale(imageBox.width / faceCrop.image.width),
);
return transformFace(faceDetection, transform);
}