Set person face chip to one having max pixels

And detection probability score

src/services/machineLearning/machineLearningService.ts

@@ -26,6 +26,7 @@ import { toTSNE } from 'utils/machineLearning/visualization';
 import { mlFilesStore, mlPeopleStore } from 'utils/storage/localForage';
 import ArcfaceAlignmentService from './arcfaceAlignmentService';
 import {
+    findFirstIfSorted,
     getAllFacesFromMap,
     getFaceImage,
     getThumbnailTFImage,
@@ -315,8 +316,14 @@ class MachineLearningService {
                 .map((f) => allFaces[f])
                 .filter((f) => f);
 
+            // TODO: face box to be normalized to 0..1 scale
+            const personFace = findFirstIfSorted(
+                faces,
+                (a, b) =>
+                    a.probability * a.box.width - b.probability * b.box.width
+            );
             const faceImageTensor = await getFaceImage(
-                faces[0],
+                personFace,
                 syncContext.token
             );
             const faceImage = await faceImageTensor.array();

src/utils/machineLearning/index.ts

@@ -180,7 +180,7 @@ export async function getPeopleList(file: File): Promise<Array<Person>> {
     const mlFileData: MlFileData = await mlFilesStore.getItem(
         file.id.toString()
     );
-    if (!mlFileData.faces || mlFileData.faces.length < 1) {
+    if (!mlFileData || !mlFileData.faces || mlFileData.faces.length < 1) {
         return [];
     }
 
@@ -200,6 +200,25 @@ export async function getPeopleList(file: File): Promise<Array<Person>> {
     return peopleList;
 }
 
+export function findFirstIfSorted<T>(
+    elements: Array<T>,
+    comparator: (a: T, b: T) => number
+) {
+    if (!elements || elements.length < 1) {
+        return;
+    }
+    let first = elements[0];
+
+    for (let i = 1; i < elements.length; i++) {
+        const comp = comparator(elements[i], first);
+        if (comp > 0) {
+            first = elements[i];
+        }
+    }
+
+    return first;
+}
+
 export const DEFAULT_ML_SYNC_CONFIG: MLSyncConfig = {
     syncIntervalSec: 5, // 300
     batchSize: 5, // 200