0ct0pu5/ente
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Tweak

Browse source
This commit is contained in:
Manav Rathi 2024-05-18 10:33:23 +05:30
parent 88f9186be0
commit 56aaad62be
No known key found for this signature in database
1 changed files with 26 additions and 30 deletions

56
web/apps/photos/src/services/face/f-index.ts
View file

@ -158,7 +158,7 @@ const detectFaces = async (
const { yoloInput, yoloSize } =
convertToYOLOInputFloat32ChannelsFirst(imageBitmap);
const yoloOutput = await workerBridge.detectFaces(yoloInput);
const faces = getFacesFromYOLOOutput(yoloOutput, 0.7);
const faces = faceDetectionsFromYOLOOutput(yoloOutput);
const inBox = newBox(0, 0, yoloSize.width, yoloSize.height);
const toBox = newBox(0, 0, imageBitmap.width, imageBitmap.height);
const faceDetections = transformFaceDetections(faces, inBox, toBox);
@ -224,41 +224,37 @@ const convertToYOLOInputFloat32ChannelsFirst = (imageBitmap: ImageBitmap) => {
};
/**
* @param rowOutput A Float32Array of shape [25200, 16], where each row
* Extract detected faces from the YOLO's output.
*
* Only detections that exceed a minimum score are returned.
*
* @param rows A Float32Array of shape [25200, 16], where each row
* represents a bounding box.
*/
const getFacesFromYOLOOutput = (
rowOutput: Float32Array,
minScore: number,
): Array<FaceDetection> => {
const faces: Array<FaceDetection> = [];
const faceDetectionsFromYOLOOutput = (rows: Float32Array): FaceDetection[] => {
const faces: FaceDetection[] = [];
// Iterate over each row.
for (let i = 0; i < rowOutput.length; i += 16) {
const score = rowOutput[i + 4];
if (score < minScore) {
continue;
}
// The first 4 values represent the bounding box's coordinates:
//
// (x1, y1, x2, y2)
//
const xCenter = rowOutput[i];
const yCenter = rowOutput[i + 1];
const width = rowOutput[i + 2];
const height = rowOutput[i + 3];
for (let i = 0; i < rows.length; i += 16) {
const score = rows[i + 4];
if (score < 0.7) continue;
const xCenter = rows[i];
const yCenter = rows[i + 1];
const width = rows[i + 2];
const height = rows[i + 3];
const xMin = xCenter - width / 2.0; // topLeft
const yMin = yCenter - height / 2.0; // topLeft
const leftEyeX = rowOutput[i + 5];
const leftEyeY = rowOutput[i + 6];
const rightEyeX = rowOutput[i + 7];
const rightEyeY = rowOutput[i + 8];
const noseX = rowOutput[i + 9];
const noseY = rowOutput[i + 10];
const leftMouthX = rowOutput[i + 11];
const leftMouthY = rowOutput[i + 12];
const rightMouthX = rowOutput[i + 13];
const rightMouthY = rowOutput[i + 14];
const leftEyeX = rows[i + 5];
const leftEyeY = rows[i + 6];
const rightEyeX = rows[i + 7];
const rightEyeY = rows[i + 8];
const noseX = rows[i + 9];
const noseY = rows[i + 10];
const leftMouthX = rows[i + 11];
const leftMouthY = rows[i + 12];
const rightMouthX = rows[i + 13];
const rightMouthY = rows[i + 14];
const box = new Box({
x: xMin,