🎈 perf: 优化人脸识别功能

public/models/face_landmark_68_model-weights_manifest.json

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public/models/face_recognition_model-weights_manifest.json

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-          {"name":"conv128_1/conv2/scale/biases","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00782704236460667,"min":-0.7200878975438136}},
-          {"name":"conv128_2/conv1/conv/filters","shape":[3,3,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00017718105923895743,"min":-0.022324813464108636}},
-          {"name":"conv128_2/conv1/conv/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":3.567012027797675e-10,"min":-5.243507680862582e-8}},
-          {"name":"conv128_2/conv1/scale/weights","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.007940645778880399,"min":4.927767753601074}},
-          {"name":"conv128_2/conv1/scale/biases","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015933452867994122,"min":-1.5614783810634238}},
-          {"name":"conv128_2/conv2/conv/filters","shape":[3,3,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0001451439717236687,"min":-0.01712698866339291}},
-          {"name":"conv128_2/conv2/conv/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":1.0383988570966347e-9,"min":-1.2356946399449953e-7}},
-          {"name":"conv128_2/conv2/scale/weights","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.02892604528688917,"min":4.750600814819336}},
-          {"name":"conv128_2/conv2/scale/biases","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00797275748907351,"min":-0.7414664464838364}},
-          {"name":"conv256_down/conv1/conv/filters","shape":[3,3,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0002698827827093648,"min":-0.03994265184098599}},
-          {"name":"conv256_down/conv1/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":5.036909834755123e-10,"min":-6.396875490139006e-8}},
-          {"name":"conv256_down/conv1/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.014870181738161573,"min":4.269900798797607}},
-          {"name":"conv256_down/conv1/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.022031106200872685,"min":-3.1063859743230484}},
-          {"name":"conv256_down/conv2/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00046430734150549946,"min":-0.03946612402796745}},
-          {"name":"conv256_down/conv2/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":6.693064577513153e-10,"min":-7.630093618364995e-8}},
-          {"name":"conv256_down/conv2/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.03475512242784687,"min":3.608360528945923}},
-          {"name":"conv256_down/conv2/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01290142021927179,"min":-1.1482263995151893}},
-          {"name":"conv256_1/conv1/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00037147209924810076,"min":-0.04234781931428348}},
-          {"name":"conv256_1/conv1/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":3.2105515457510146e-10,"min":-3.467395669411096e-8}},
-          {"name":"conv256_1/conv1/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.043242172166412955,"min":5.28542947769165}},
-          {"name":"conv256_1/conv1/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01643658619300992,"min":-1.3149268954407936}},
-          {"name":"conv256_1/conv2/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0003289232651392619,"min":-0.041773254672686264}},
-          {"name":"conv256_1/conv2/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":9.13591691187321e-10,"min":-1.2333487831028833e-7}},
-          {"name":"conv256_1/conv2/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0573908618852204,"min":4.360693454742432}},
-          {"name":"conv256_1/conv2/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0164216583850337,"min":-1.3958409627278647}},
-          {"name":"conv256_2/conv1/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00010476927912118389,"min":-0.015610622589056398}},
-          {"name":"conv256_2/conv1/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":2.418552539068639e-10,"min":-2.539480166022071e-8}},
-          {"name":"conv256_2/conv1/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.06024209564807368,"min":6.598613739013672}},
-          {"name":"conv256_2/conv1/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01578534350675695,"min":-1.1049740454729864}},
-          {"name":"conv256_2/conv2/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00005543030908002573,"min":-0.007427661416723448}},
-          {"name":"conv256_2/conv2/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":1.0822061852320308e-9,"min":-1.515088659324843e-7}},
-          {"name":"conv256_2/conv2/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.04302893993901272,"min":2.2855491638183594}},
-          {"name":"conv256_2/conv2/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006792667566561232,"min":-0.8083274404207865}},
-          {"name":"conv256_down_out/conv1/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.000568966465253456,"min":-0.05632768006009214}},
-          {"name":"conv256_down_out/conv1/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":4.5347887884881677e-10,"min":-6.530095855422961e-8}},
-          {"name":"conv256_down_out/conv1/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.017565592597512638,"min":4.594101905822754}},
-          {"name":"conv256_down_out/conv1/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.04850864223405427,"min":-6.306123490427055}},
-          {"name":"conv256_down_out/conv2/conv/filters","shape":[3,3,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0003739110687199761,"min":-0.06954745878191555}},
-          {"name":"conv256_down_out/conv2/conv/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":1.2668428328152895e-9,"min":-2.2549802424112154e-7}},
-          {"name":"conv256_down_out/conv2/scale/weights","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.04351314469879749,"min":4.31956672668457}},
-          {"name":"conv256_down_out/conv2/scale/biases","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021499746921015722,"min":-1.2039858275768804}},
-          {"name":"fc","shape":[256,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.000357687911566566,"min":-0.04578405268052045}}
-      ],
-      "paths":
-      [
-          "face_recognition_model.bin"
-      ]
-  }
-]

public/models/tiny_face_detector_model-weights_manifest.json

@@ -1,30 +0,0 @@
-[
-  {
-      "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}},
-          {"name":"conv1/depthwise_filter","shape":[3,3,16,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004001977630690033,"min":-0.5042491814669441}},
-          {"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}},
-          {"name":"conv5/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008423839597141042,"min":-0.9013508368940915}},
-          {"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"
-      ]
-  }
-]

src/pages/face/components/faceReco.vue

@@ -26,14 +26,14 @@
     </div>
 
     <div v-if="step === 2" class="spin">
-      <a-spin dot tip="人脸信息上传中，请稍候..." />
+      <a-spin dot tip="信息上传中，请勿离开此界面..." />
     </div>
 
     <div v-if="step === 3">
       <a-result status="success" title="采集完成">
         <template #extra>
           <a-space>
-            <a-button type='primary' @click="$router.go(0)">返回</a-button>
+            <a-button type='primary' @click="retry()">返回</a-button>
           </a-space>
         </template>
       </a-result>
@@ -43,7 +43,7 @@
       <a-result status="error" title="采集失败">
         <template #extra>
           <a-space>
-            <a-button type='primary' @click="$router.go(0)">返回重试</a-button>
+            <a-button type='primary' @click="retry()">返回重试</a-button>
           </a-space>
         </template>
       </a-result>
@@ -63,8 +63,8 @@
     </div>
   </div>
 
-  <div class="page" style="display: none">
-    <div class="page_draw" v-show="!state.netsLoadModel">
+  <div style="display: none">
+    <div v-show="!state.netsLoadModel">
       <img id="page_draw-img-target" :src="props.userInfo.face_img" />
       <canvas id="page_draw-canvas-target"></canvas>
       <canvas id="page_draw-video-canvas"></canvas>
@@ -80,9 +80,10 @@
 </template>
 
 <script setup>
-import { Message } from "@arco-design/web-vue"
+import { Message, Modal } from "@arco-design/web-vue"
 import * as faceapi from "@vladmandic/face-api"
 import axios from 'axios'
+import storage from 'store'
 import { ref, onMounted, onUnmounted, reactive, watch } from "vue"
 
 const tagInfo = ref('请将面部完全放置在取景框中央')
@@ -231,7 +232,7 @@ function restartRecording() {
 
 /**初始化模型加载 */
 async function fnLoadModel() {
-  const modelsPath = `/models`
+  const modelsPath = `https://lepao-api.xxoo365.top/models`
   await faceapi.nets.faceLandmark68Net.load(modelsPath)
   await faceapi.nets.faceRecognitionNet.load(modelsPath)
   await faceapi.nets.tinyFaceDetector.load(modelsPath)
@@ -336,8 +337,8 @@ async function fnOpen() {
     // 稍作延迟再开始识别
     setTimeout(() => fnRedrawDiscern(), 300)
   } catch (error) {
-    state.stream = null
-
+    fnClose()
+    step.value = 4
     Message.error("视频媒体流获取错误: " + error)
   }
 }
@@ -365,6 +366,11 @@ watch(
     if (state.stream !== null) {
       fnClose()
       fnOpen()
+      const videoEl = document.getElementById('page_draw-video')
+      if (state.constraints.video.facingMode === 'user')
+        videoEl.style.transform = 'scaleX(-1)'
+      else
+        videoEl.style.transform = 'none'
     } else {
       fnClose()
     }
@@ -375,12 +381,40 @@ onMounted(() => {
   fnLoadModel().then(() => {
     fnRedrawTarget()
     fnOpen()
+    isIosSafari()
   })
 })
 
 onUnmounted(() => {
   fnClose()
 })
+
+// IOS加载慢
+function isIosSafari() {
+  const ua = window.navigator.userAgent
+
+  // 1. 判断是否是 iOS 设备
+  const isIOS = /iP(hone|od|ad)/.test(ua)
+
+  if (isIOS) {
+    const faceRecoIosShow = storage.get('faceRecoIosShow')
+    if (!faceRecoIosShow)
+      Modal.info({
+        title: 'IOS设备采集提醒',
+        escToClose: false,
+        maskClosable: false,
+        width: '300px',
+        content: `部分IOS设备在首次采集时可能会遇到加载时间长或采集失败等情况。出现此类情况时可刷新页面重新采集。`,
+        onOk: () => {
+          storage.set('faceRecoIosShow', true)
+        }
+      })
+  }
+}
+
+function retry() {
+  window.location.reload()
+}
 </script>
 
 <style lang="less" scoped>

src/pages/face/index.vue

@@ -169,7 +169,14 @@ onMounted(() => {
         background-color: #4A90E2;
         color: #fff;
         cursor: pointer;
-        margin-top: 20px;
+        margin-top: 15px;
+    }
+
+    #captchaImg img {
+        max-width: 100%;
+        border-radius: 10px;
+        margin-top: 5px;
+        cursor: pointer;
     }
 }
 </style>