chore: update face-api (#10912)

* chore: update face-api

* fix: remove caret from face-api dependecy and update models

package-lock.json

@@ -48,6 +48,7 @@
         "@react-navigation/native": "6.0.6",
         "@react-navigation/stack": "6.0.11",
         "@svgr/webpack": "4.3.2",
+        "@vladmandic/face-api": "1.6.4",
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         "amplitude-js": "8.2.1",
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@@ -55,7 +56,6 @@
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@@ -5191,16 +5157,6 @@
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+    "node_modules/@vladmandic/face-api": {
+      "version": "1.6.4",
+      "resolved": "https://registry.npmjs.org/@vladmandic/face-api/-/face-api-1.6.4.tgz",
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@@ -9478,15 +9442,6 @@
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@@ -16639,11 +16594,6 @@
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@@ -23549,26 +23499,6 @@
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@@ -23727,11 +23657,6 @@
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@@ -23828,16 +23748,6 @@
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@@ -23860,6 +23770,11 @@
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+    "@vladmandic/face-api": {
+      "version": "1.6.4",
+      "resolved": "https://registry.npmjs.org/@vladmandic/face-api/-/face-api-1.6.4.tgz",
+      "integrity": "sha512-tVx8lCL1mKb44qeN5EEypJNXqxRYXh+7BcSzfY4iMaZIoF5Y+Jev20UiIn9JvxwGV2caWkdFIjpvw+OxsL/kdg=="
+    },
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@@ -27216,15 +27131,6 @@
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package.json

@@ -53,6 +53,7 @@
     "@react-navigation/native": "6.0.6",
     "@react-navigation/stack": "6.0.11",
     "@svgr/webpack": "4.3.2",
+    "@vladmandic/face-api": "1.6.4",
     "@xmldom/xmldom": "0.7.5",
     "amplitude-js": "8.2.1",
     "base64-js": "1.3.1",
@@ -60,7 +61,6 @@
     "clipboard-copy": "4.0.1",
     "clsx": "1.1.1",
     "dropbox": "10.7.0",
-    "face-api.js": "0.22.2",
     "focus-visible": "5.1.0",
     "grapheme-splitter": "1.0.4",
     "i18n-iso-countries": "6.8.0",

react/features/facial-recognition/facialExpressionsWorker.js

@@ -1,6 +1,6 @@
 // @flow
 import './faceApiPatch';
-import * as faceapi from 'face-api.js';
+import * as faceapi from '@vladmandic/face-api';
 
 import {
     CLEAR_TIMEOUT,

react/features/facial-recognition/resources/README.md

@@ -2,20 +2,20 @@
 
 ### Tiny Face Detector
 
-It is a realtime face detector, more information can be found here https://github.com/justadudewhohacks/face-api.js/#tiny-face-detector.
+It is a realtime face detector.
 
 ### Face Expression Recognition Model
 
-It is a models that recognizes face expressions, more information can be found here https://github.com/justadudewhohacks/face-api.js/#face-expression-recognition-model.
+It is a models that recognizes facial expressions.
 
 ### Usage
 
-Both models are loaded using face-api.js which is a JavaScript face recognition API for the browser and nodejs implemented on top of tensorflow.js core.
+Both models are loaded using face-api which is as AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS.
 
 Depending on the browser and hardware acceleration available the tensorflow.js will use a webgl backend of a cpu backend.
 
 ## LICENSE
 
-The models were both downloaded from the face-api.js repository, https://github.com/justadudewhohacks/face-api.js/, and they can be found in this folder https://github.com/justadudewhohacks/face-api.js/tree/master/weights.
+The models were both downloaded from the face-api repository, https://github.com/vladmandic/face-api , and they can be found in this folder https://github.com/vladmandic/face-api/tree/master/model.
 
-The repository has a MIT License. More information can be found here https://github.com/justadudewhohacks/face-api.js/blob/master/LICENSE.
+The repository has a MIT License. More information can be found here https://github.com/vladmandic/face-api/blob/master/LICENSE.

react/features/facial-recognition/resources/tiny_face_detector_model-weights_manifest.json

@@ -1 +1,30 @@
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+[
+  {
+      "weights":
+      [
+          {"name":"conv0/filters","shape":[3,3,3,16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.009007044399485869,"min":-1.2069439495311063}},
+          {"name":"conv0/bias","shape":[16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005263455241334205,"min":-0.9211046672334858}},
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+          {"name":"conv1/pointwise_filter","shape":[1,1,16,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013836609615999109,"min":-1.411334180831909}},
+          {"name":"conv1/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0015159862590771096,"min":-0.30926119685173037}},
+          {"name":"conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002666276225856706,"min":-0.317286870876948}},
+          {"name":"conv2/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015265831292844286,"min":-1.6792414422128714}},
+          {"name":"conv2/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0020280554598453,"min":-0.37113414915168985}},
+          {"name":"conv3/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006100742489683862,"min":-0.8907084034938438}},
+          {"name":"conv3/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.016276211832083907,"min":-2.0508026908425725}},
+          {"name":"conv3/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.003394414279975143,"min":-0.7637432129944072}},
+          {"name":"conv4/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006716050119961009,"min":-0.8059260143953211}},
+          {"name":"conv4/pointwise_filter","shape":[1,1,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021875603993733724,"min":-2.8875797271728514}},
+          {"name":"conv4/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0041141652009066415,"min":-0.8187188749804216}},
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+          {"name":"conv5/pointwise_filter","shape":[1,1,256,512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.030007277283014035,"min":-3.8709387695088107}},
+          {"name":"conv5/bias","shape":[512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008402082966823203,"min":-1.4871686851277068}},
+          {"name":"conv8/filters","shape":[1,1,512,25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.028336129469030042,"min":-4.675461362389957}},
+          {"name":"conv8/bias","shape":[25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002268134028303857,"min":-0.41053225912299807}}
+      ],
+      "paths":
+      [
+          "tiny_face_detector_model.bin"
+      ]
+  }
+]

webpack.config.js

@@ -392,7 +392,7 @@ module.exports = (_env, argv) => {
                 ...config.plugins,
                 ...getBundleAnalyzerPlugin(analyzeBundle, 'facial-expressions-worker')
             ],
-            performance: getPerformanceHints(perfHintOptions, 1024 * 1024)
+            performance: getPerformanceHints(perfHintOptions, 1024 * 1024 * 1.5)
         })
     ];
 };