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✨ feat: 新增人脸识别功能

Pchen. 8 months ago
parent
e1fd7328f2
commit
67871ce22f
19 changed files with 3023 additions and 292 deletions
Unified View Show Diff Stats
  1. 0 285
      face.html
  2. 0 1
      index.html
  3. 3 0
      package.json
  4. 2148 0
      pnpm-lock.yaml
  5. 60 0
      public/models/face_landmark_68_model-weights_manifest.json
  6. BIN
      public/models/face_landmark_68_model.bin
  7. 128 0
      public/models/face_recognition_model-weights_manifest.json
  8. BIN
      public/models/face_recognition_model.bin
  9. 30 0
      public/models/tiny_face_detector_model-weights_manifest.json
  10. BIN
      public/models/tiny_face_detector_model.bin
  11. 9 0
      src/api/lepao.js
  12. 1 0
      src/layout/default-layout.vue
  13. 1 0
      src/pages/Main/Main.vue
  14. 27 0
      src/pages/face/components/doc.vue
  15. 466 0
      src/pages/face/components/faceReco.vue
  16. 0 4
      src/pages/face/faceUpload.vue
  17. 140 0
      src/pages/face/index.vue
  18. 10 1
      src/router/index.js
  19. 0 1
      src/style.css

+ 0 - 285
face.html
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@@ -1,285 +0,0 @@
 
-<!doctype html>
 
-<html>
 
-<head>
 
-  <meta charset="utf-8" />
 
-  <title>前置摄像头 人脸活体检测 + 录制上传示例</title>
 
-  <style>
 
-    video, canvas { max-width: 360px; border: 1px solid #ccc; display:block; }
 
-    #status { margin-top:8px; }
 
-  </style>
 
-  <!-- MediaPipe Face Mesh (browser) -->
 
-  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/face_mesh@0.4/face_mesh.js"></script>
 
-  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/camera_utils@0.4/camera_utils.js"></script>
 
-  <script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils@0.4/drawing_utils.js"></script>
 
-</head>
 
-<body>
 
-  <h3>活体检测示例（张嘴 / 眨眼 / 转头）</h3>
 
-  <video id="inputVideo" autoplay playsinline muted></video>
 
-  <canvas id="overlay"></canvas>
 
-  <div id="status">等待摄像头权限...</div>
 
-  <button id="startTest">开始动作检测并录制通过视频</button>
 
-  <script>
 
-    const video = document.getElementById('inputVideo');
 
-    const canvas = document.getElementById('overlay');
 
-    const ctx = canvas.getContext('2d');
 
-    const status = document.getElementById('status');
 
-    const startBtn = document.getElementById('startTest');
 
-
 
-    // 状态机：按序进行检测（你也可以并行检测）
 
-    const ACTIONS = ['blink', 'open_mouth', 'turn_right']; // 示例序列
 
-    let currentActionIndex = 0;
 
-    let actionPassed = { blink:false, open_mouth:false, turn_right:false };
 
-
 
-    // MediaRecorder 相关
 
-    let mediaRecorder, recordedBlobs = [];
 
-
 
-    // 启动摄像头
 
-    async function startCamera() {
 
-      try {
 
-        const stream = await navigator.mediaDevices.getUserMedia({
 
-          video: { facingMode: 'user', width: 640, height: 480 }, audio: true
 
-        });
 
-        video.srcObject = stream;
 
-        await video.play();
 
-        canvas.width = video.videoWidth;
 
-        canvas.height = video.videoHeight;
 
-        status.textContent = '摄像头已开启，准备就绪。点击 "开始动作检测并录制通过视频"。';
 
-        return stream;
 
-      } catch (e) {
 
-        status.textContent = '无法打开摄像头: ' + e.message;
 
-        throw e;
 
-      }
 
-    }
 
-
 
-    // EAR - Eye Aspect Ratio 计算（基于 MediaPipe 的关键点索引）
 
-    // MediaPipe 面部关键点参考： https://github.com/tensorflow/tfjs-models/tree/master/face-landmarks-detection (但我们用通用索引)
 
-    // 这里用了左右眼的几个点的索引（MediaPipe 有 468 点）：
 
-    const leftEyeIndices = { // 以常见的点索引为例，可能需要根据版本微调
 
-      outer: 33, inner: 133,
 
-      top1: 159, top2: 145,
 
-      bottom1: 23, bottom2: 27
 
-    };
 
-    const rightEyeIndices = {
 
-      outer: 362, inner: 263,
 
-      top1: 386, top2: 374,
 
-      bottom1: 253, bottom2: 257
 
-    };
 
-    const mouthIndices = {
 
-      top: 13, bottom: 14, left: 78, right: 308
 
-    };
 
-
 
-    function dist(a, b) {
 
-      return Math.hypot(a.x - b.x, a.y - b.y);
 
-    }
 
-
 
-    function computeEAR(landmarks, eyeIdx) {
 
-      // EAR ~ (||p2-p6|| + ||p3-p5||) / (2 * ||p1-p4||)
 
-      const p1 = landmarks[eyeIdx.outer];
 
-      const p4 = landmarks[eyeIdx.inner];
 
-      // vertical pairs
 
-      const p2 = landmarks[eyeIdx.top1];
 
-      const p3 = landmarks[eyeIdx.top2];
 
-      const p5 = landmarks[eyeIdx.bottom1];
 
-      const p6 = landmarks[eyeIdx.bottom2];
 
-      const vert = (dist(p2,p5) + dist(p3,p6)) / 2;
 
-      const horiz = dist(p1,p4);
 
-      if (horiz === 0) return 0;
 
-      return vert / horiz;
 
-    }
 
-
 
-    function computeMAR(landmarks) {
 
-      // 简单 MAR: 竖直嘴唇距离 / 眼距归一化
 
-      const top = landmarks[mouthIndices.top];
 
-      const bottom = landmarks[mouthIndices.bottom];
 
-      const left = landmarks[mouthIndices.left];
 
-      const right = landmarks[mouthIndices.right];
 
-      const mouthOpen = dist(top, bottom);
 
-      const eyeDist = dist(landmarks[leftEyeIndices.outer], landmarks[rightEyeIndices.outer]);
 
-      if (eyeDist === 0) return 0;
 
-      return mouthOpen / eyeDist;
 
-    }
 
-
 
-    function estimateYaw(landmarks) {
 
-      // 简单估算 yaw（左右转）: 比较鼻子与两眼之间的相对位置
 
-      // 鼻尖索引在 MediaPipe 常见是 1 或 4 等，这里用 1（可能需微调）
 
-      const nose = landmarks[1] || landmarks[4] || landmarks[0];
 
-      const leftEye = landmarks[leftEyeIndices.outer];
 
-      const rightEye = landmarks[rightEyeIndices.outer];
 
-      // 若鼻子更靠左 => 向右转（相机视角）。用归一化比例作为估计值
 
-      const midEyeX = (leftEye.x + rightEye.x) / 2;
 
-      const dx = (nose.x - midEyeX); // 负 = nose 左偏, 正 = 右偏
 
-      // 将 dx 归一化到 -1..1
 
-      const w = canvas.width || 1;
 
-      return dx / w * 2;
 
-    }
 
-
 
-    // 初始化 MediaPipe FaceMesh
 
-    const faceMesh = new FaceMesh({
 
-      locateFile: (file) => `https://cdn.jsdelivr.net/npm/@mediapipe/face_mesh@0.4/${file}`
 
-    });
 
-    faceMesh.setOptions({
 
-      maxNumFaces: 1,
 
-      refineLandmarks: true,
 
-      minDetectionConfidence: 0.5,
 
-      minTrackingConfidence: 0.5
 
-    });
 
-
 
-    faceMesh.onResults(onResults);
 
-
 
-    // Camera helper from MediaPipe（自动把 video 帧送入 faceMesh）
 
-    let mpCamera;
 
-    async function initFaceMesh() {
 
-      mpCamera = new Camera(video, {
 
-        onFrame: async () => {
 
-          await faceMesh.send({image: video});
 
-        },
 
-        width: 640,
 
-        height: 480
 
-      });
 
-      mpCamera.start();
 
-    }
 
-
 
-    // 处理每帧结果
 
-    let blinkCooldown = 0;
 
-    let mouthCooldown = 0;
 
-    let turnCooldown = 0;
 
-
 
-    function onResults(results) {
 
-      ctx.clearRect(0,0,canvas.width,canvas.height);
 
-      if (!results.multiFaceLandmarks || results.multiFaceLandmarks.length === 0) {
 
-        status.textContent = '未检测到人脸，请正对摄像头。';
 
-        return;
 
-      }
 
-      const landmarks = results.multiFaceLandmarks[0].map(p => ({x:p.x * canvas.width, y:p.y * canvas.height, z: p.z}));
 
-      // 可视化关键点（可选）
 
-      drawConnectors(ctx, results.multiFaceLandmarks[0], FACEMESH_TESSELATION, {color: '#C0C0C0', lineWidth: 1});
 
-      drawConnectors(ctx, results.multiFaceLandmarks[0], FACEMESH_RIGHT_EYE, {color: '#FF3030'});
 
-      drawConnectors(ctx, results.multiFaceLandmarks[0], FACEMESH_LEFT_EYE, {color: '#30FF30'});
 
-
 
-      // 计算指标
 
-      const leftEAR = computeEAR(landmarks, leftEyeIndices);
 
-      const rightEAR = computeEAR(landmarks, rightEyeIndices);
 
-      const ear = (leftEAR + rightEAR) / 2;
 
-      const mar = computeMAR(landmarks);
 
-      const yaw = estimateYaw(landmarks);
 
-
 
-      // 简单阈值（需按实际设备/光线/摄像头微调）
 
-      const BLINK_EAR_THRESHOLD = 0.18;   // 小于视为眨眼
 
-      const MAR_THRESHOLD = 0.15;         // 大于视为张嘴
 
-      const YAW_RIGHT_THRESHOLD = 0.03;   // 右转阈值（正/负方向看估算）
 
-      // 事件检测并防抖（cooldown）
 
-      const now = Date.now();
 
-      // 眨眼检测：EAR 瞬时低于阈值且未处于 cooldown
 
-      if (ear < BLINK_EAR_THRESHOLD && (now - blinkCooldown) > 800) {
 
-        actionPassed.blink = true;
 
-        blinkCooldown = now;
 
-        status.textContent = '检测到眨眼 ✅';
 
-      }
 
-
 
-      // 张嘴检测
 
-      if (mar > MAR_THRESHOLD && (now - mouthCooldown) > 1200) {
 
-        actionPassed.open_mouth = true;
 
-        mouthCooldown = now;
 
-        status.textContent = '检测到张嘴 ✅';
 
-      }
 
-
 
-      // 转头检测（示例检测向右转）
 
-      if (yaw > YAW_RIGHT_THRESHOLD && (now - turnCooldown) > 1200) {
 
-        actionPassed.turn_right = true;
 
-        turnCooldown = now;
 
-        status.textContent = '检测到向右转头 ✅';
 
-      }
 
-
 
-      // 更新动作进度（按 ACTIONS 顺序）
 
-      while (currentActionIndex < ACTIONS.length && actionPassed[ACTIONS[currentActionIndex]]) {
 
-        currentActionIndex++;
 
-      }
 
-      if (currentActionIndex >= ACTIONS.length) {
 
-        status.textContent = '动作序列全部完成，准备上传视频...';
 
-        finishAndUpload();
 
-      } else {
 
-        status.textContent = `请进行动作：${ACTIONS[currentActionIndex]} （已完成 ${currentActionIndex}/${ACTIONS.length}）`;
 
-      }
 
-    }
 
-
 
-    // 录制并上传：开始录制视频并在动作完成后上传（也可以先录制，再在完成后上传）
 
-    async function startRecording(stream) {
 
-      recordedBlobs = [];
 
-      let options = { mimeType: 'video/webm;codecs=vp9,opus' };
 
-      try {
 
-        mediaRecorder = new MediaRecorder(stream, options);
 
-      } catch (e) {
 
-        options = { mimeType: 'video/webm;codecs=vp8,opus' };
 
-        mediaRecorder = new MediaRecorder(stream, options);
 
-      }
 
-      mediaRecorder.ondataavailable = (e) => {
 
-        if (e.data && e.data.size > 0) recordedBlobs.push(e.data);
 
-      };
 
-      mediaRecorder.start(100); // 每 100ms 收集
 
-      status.textContent = '已开始录制...';
 
-    }
 
-
 
-    // 停止并上传
 
-    async function finishAndUpload() {
 
-      // 防止重复触发
 
-      if (!mediaRecorder) {
 
-        status.textContent = '未找到录制器，直接开始并在1.5s后上传短片。';
 
-        // 快速录一段短片（1.5s）作为上传
 
-        const t0 = Date.now();
 
-        const s = video.srcObject;
 
-        await startRecording(s);
 
-        await new Promise(r => setTimeout(r, 1500));
 
-        mediaRecorder.stop();
 
-      } else {
 
-        mediaRecorder.stop();
 
-      }
 
-
 
-      // 等待 dataavailable 收集完成（用短延时）
 
-      await new Promise(r => setTimeout(r, 500));
 
-      const blob = new Blob(recordedBlobs, { type: 'video/webm' });
 
-      const form = new FormData();
 
-      form.append('file', blob, 'liveness.webm');
 
-      form.append('meta', JSON.stringify({ actions: ACTIONS, timestamp: Date.now() }));
 
-      status.textContent = '上传中...';
 
-
 
-      // 上传（替换为你的上传 URL）
 
-      try {
 
-        const resp = await fetch('/upload_liveness', {
 
-          method: 'POST',
 
-          body: form
 
-        });
 
-        if (resp.ok) {
 
-          status.textContent = '上传成功 ✅';
 
-        } else {
 
-          status.textContent = '上传失败，服务器返回 ' + resp.status;
 
-        }
 
-      } catch (e) {
 
-        status.textContent = '上传出错：' + e.message;
 
-      }
 
-    }
 
-
 
-    // UI 按钮：开始检测并录制
 
-    startBtn.addEventListener('click', async () => {
 
-      startBtn.disabled = true;
 
-      currentActionIndex = 0;
 
-      actionPassed = { blink:false, open_mouth:false, turn_right:false };
 
-      try {
 
-        const stream = await startCamera();
 
-        await initFaceMesh();
 
-        // 开始录制整个摄像头流（也可选择在动作完成后再录制）
 
-        await startRecording(stream);
 
-      } catch (e) {
 
-        console.error(e);
 
-      }
 
-    });
 
-
 
-    // 页面卸载时停止摄像头
 
-    window.addEventListener('beforeunload', () => {
 
-      if (video && video.srcObject) {
 
-        video.srcObject.getTracks().forEach(t => t.stop());
 
-      }
 
-      if (mpCamera && mpCamera.stop) mpCamera.stop();
 
-    });
 
-  </script>
 
-</body>
 
-</html>

+ 0 - 1
index.html
View File 

@@ -4,7 +4,6 @@
 
     <meta charset="UTF-8" />
 
     <meta charset="UTF-8" />
 
     <link rel="icon" type="image/svg+xml" href="/logo.svg" />
 
     <link rel="icon" type="image/svg+xml" href="/logo.svg" />
 
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 
-    <meta name="viewport" content="width=1280">
 
     <title>RunForge - 智能自助校园乐跑平台</title>
 
     <title>RunForge - 智能自助校园乐跑平台</title>
 
   </head>
 
   </head>
 
   <body>
 
   <body>

+ 3 - 0
package.json
View File 

@@ -10,6 +10,9 @@
 
   },
 
   },
 
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+ 2148 - 0
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+      '@wangeditor/basic-modules': 1.1.7(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(lodash.throttle@4.1.1)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      '@wangeditor/code-highlight': 1.0.3(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(slate@0.72.8)(snabbdom@3.6.2)
 
+      '@wangeditor/core': 1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      '@wangeditor/list-module': 1.0.5(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(slate@0.72.8)(snabbdom@3.6.2)
 
+      '@wangeditor/table-module': 1.1.4(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
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+      '@wangeditor/video-module': 1.1.4(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      dom7: 3.0.0
 
+      is-hotkey: 0.2.0
 
+      lodash.camelcase: 4.3.0
 
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+      lodash.debounce: 4.0.8
 
+      lodash.foreach: 4.5.0
 
+      lodash.isequal: 4.5.0
 
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+      lodash.toarray: 4.4.0
 
+      nanoid: 3.3.11
 
+      slate: 0.72.8
 
+      snabbdom: 3.6.2
 
+
 
+  '@wangeditor/list-module@1.0.5(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(slate@0.72.8)(snabbdom@3.6.2)':
 
+    dependencies:
 
+      '@wangeditor/core': 1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      dom7: 3.0.0
 
+      slate: 0.72.8
 
+      snabbdom: 3.6.2
 
+
 
+  '@wangeditor/table-module@1.1.4(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)':
 
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+      '@wangeditor/core': 1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      dom7: 3.0.0
 
+      lodash.isequal: 4.5.0
 
+      lodash.throttle: 4.1.1
 
+      nanoid: 3.3.11
 
+      slate: 0.72.8
 
+      snabbdom: 3.6.2
 
+
 
+  '@wangeditor/upload-image-module@1.0.2(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(@wangeditor/basic-modules@1.1.7(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(lodash.throttle@4.1.1)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(lodash.foreach@4.5.0)(slate@0.72.8)(snabbdom@3.6.2)':
 
+    dependencies:
 
+      '@uppy/core': 2.3.4
 
+      '@uppy/xhr-upload': 2.1.3(@uppy/core@2.3.4)
 
+      '@wangeditor/basic-modules': 1.1.7(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(lodash.throttle@4.1.1)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      '@wangeditor/core': 1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      dom7: 3.0.0
 
+      lodash.foreach: 4.5.0
 
+      slate: 0.72.8
 
+      snabbdom: 3.6.2
 
+
 
+  '@wangeditor/video-module@1.1.4(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(@wangeditor/core@1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2))(dom7@3.0.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)':
 
+    dependencies:
 
+      '@uppy/core': 2.3.4
 
+      '@uppy/xhr-upload': 2.1.3(@uppy/core@2.3.4)
 
+      '@wangeditor/core': 1.1.19(@uppy/core@2.3.4)(@uppy/xhr-upload@2.1.3(@uppy/core@2.3.4))(dom7@3.0.0)(is-hotkey@0.2.0)(lodash.camelcase@4.3.0)(lodash.clonedeep@4.5.0)(lodash.debounce@4.0.8)(lodash.foreach@4.5.0)(lodash.isequal@4.5.0)(lodash.throttle@4.1.1)(lodash.toarray@4.4.0)(nanoid@3.3.11)(slate@0.72.8)(snabbdom@3.6.2)
 
+      dom7: 3.0.0
 
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+
 
+  argparse@2.0.1: {}
 
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+
 
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+    dependencies:
 
+      follow-redirects: 1.15.11
 
+      form-data: 4.0.4
 
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+    transitivePeerDependencies:
 
+      - debug
 
+
 
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+
 
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+
 
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+
 
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+
 
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+    dependencies:
 
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+
 
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+
 
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+      es-errors: 1.3.0
 
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+
 
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+
 
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+
 
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+
 
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+      '@esbuild/android-arm': 0.25.9
 
+      '@esbuild/android-arm64': 0.25.9
 
+      '@esbuild/android-x64': 0.25.9
 
+      '@esbuild/darwin-arm64': 0.25.9
 
+      '@esbuild/darwin-x64': 0.25.9
 
+      '@esbuild/freebsd-arm64': 0.25.9
 
+      '@esbuild/freebsd-x64': 0.25.9
 
+      '@esbuild/linux-arm': 0.25.9
 
+      '@esbuild/linux-arm64': 0.25.9
 
+      '@esbuild/linux-ia32': 0.25.9
 
+      '@esbuild/linux-loong64': 0.25.9
 
+      '@esbuild/linux-mips64el': 0.25.9
 
+      '@esbuild/linux-ppc64': 0.25.9
 
+      '@esbuild/linux-riscv64': 0.25.9
 
+      '@esbuild/linux-s390x': 0.25.9
 
+      '@esbuild/linux-x64': 0.25.9
 
+      '@esbuild/netbsd-arm64': 0.25.9
 
+      '@esbuild/netbsd-x64': 0.25.9
 
+      '@esbuild/openbsd-arm64': 0.25.9
 
+      '@esbuild/openbsd-x64': 0.25.9
 
+      '@esbuild/openharmony-arm64': 0.25.9
 
+      '@esbuild/sunos-x64': 0.25.9
 
+      '@esbuild/win32-arm64': 0.25.9
 
+      '@esbuild/win32-ia32': 0.25.9
 
+      '@esbuild/win32-x64': 0.25.9
 
+
 
+  esniff@2.0.1:
 
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+      d: 1.0.2
 
+      es5-ext: 0.10.64
 
+      event-emitter: 0.3.5
 
+      type: 2.7.3
 
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+
 
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+
 
+  follow-redirects@1.15.11: {}
 
+
 
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+
 
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+      has-symbols: 1.1.0
 
+      hasown: 2.0.2
 
+      math-intrinsics: 1.1.0
 
+
 
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+    dependencies:
 
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+      es-object-atoms: 1.1.1
 
+
 
+  gopd@1.2.0: {}
 
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+    optional: true
 
+
 
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+      '@babel/runtime': 7.28.3
 
+
 
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+      safer-buffer: 2.1.2
 
+    optional: true
 
+
 
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+      parse-node-version: 1.0.1
 
+      tslib: 2.8.1
 
+    optionalDependencies:
 
+      errno: 0.1.8
 
+      graceful-fs: 4.2.11
 
+      image-size: 0.5.5
 
+      make-dir: 2.1.0
 
+      mime: 1.6.0
 
+      needle: 3.3.1
 
+      source-map: 0.6.1
 
+
 
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+      uc.micro: 2.1.0
 
+
 
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+
 
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+
 
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+
 
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+      semver: 5.7.2
 
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public/models/face_landmark_68_model-weights_manifest.json
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BIN
public/models/face_landmark_68_model.bin
View File


+ 128 - 0
public/models/face_recognition_model-weights_manifest.json
View File 

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+          {"name":"conv64_1/conv2/conv/filters","shape":[3,3,64,64],"dtype":"float32"},
 
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+          {"name":"conv64_2/conv2/conv/filters","shape":[3,3,64,64],"dtype":"float32"},
 
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+          {"name":"conv64_2/conv2/scale/weights","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.03740917467603497,"min":5.571568965911865}},
 
+          {"name":"conv64_2/conv2/scale/biases","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006418555858088475,"min":-0.5263215803632549}},
 
+          {"name":"conv64_3/conv1/conv/filters","shape":[3,3,64,64],"dtype":"float32"},
 
+          {"name":"conv64_3/conv1/conv/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":7.432564576875473e-10,"min":-8.47312361763804e-8}},
 
+          {"name":"conv64_3/conv1/scale/weights","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006400122362024644,"min":2.268010377883911}},
 
+          {"name":"conv64_3/conv1/scale/biases","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010945847922680425,"min":-1.3353934465670119}},
 
+          {"name":"conv64_3/conv2/conv/filters","shape":[3,3,64,64],"dtype":"float32"},
 
+          {"name":"conv64_3/conv2/conv/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":2.278228722014533e-9,"min":-3.212302498040492e-7}},
 
+          {"name":"conv64_3/conv2/scale/weights","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.029840927498013366,"min":7.038398265838623}},
 
+          {"name":"conv64_3/conv2/scale/biases","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010651412197187834,"min":-1.161003929493474}},
 
+          {"name":"conv128_down/conv1/conv/filters","shape":[3,3,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00020040544662989823,"min":-0.022245004575918704}},
 
+          {"name":"conv128_down/conv1/conv/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":4.3550543563576545e-10,"min":-4.311503812794078e-8}},
 
+          {"name":"conv128_down/conv1/scale/weights","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.007448580685783835,"min":2.830846071243286}},
 
+          {"name":"conv128_down/conv1/scale/biases","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01211262824488621,"min":-1.6957679542840696}},
 
+          {"name":"conv128_down/conv2/conv/filters","shape":[3,3,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00022380277514457702,"min":-0.02484210804104805}},
 
+          {"name":"conv128_down/conv2/conv/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":9.031058637304466e-10,"min":-1.1650065642122761e-7}},
 
+          {"name":"conv128_down/conv2/scale/weights","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.027663578706629135,"min":3.1111555099487305}},
 
+          {"name":"conv128_down/conv2/scale/biases","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008878476946961646,"min":-1.029903325847551}},
 
+          {"name":"conv128_1/conv1/conv/filters","shape":[3,3,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00022380667574265425,"min":-0.032899581334170175}},
 
+          {"name":"conv128_1/conv1/conv/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":4.4147297756478345e-10,"min":-5.253528433020923e-8}},
 
+          {"name":"conv128_1/conv1/scale/weights","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013599334978589825,"min":3.634530782699585}},
 
+          {"name":"conv128_1/conv1/scale/biases","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.014059314073300829,"min":-1.4059314073300828}},
 
+          {"name":"conv128_1/conv2/conv/filters","shape":[3,3,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00021715293474057143,"min":-0.02909849325523657}},
 
+          {"name":"conv128_1/conv2/conv/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":9.887046963276768e-10,"min":-1.1370104007768284e-7}},
 
+          {"name":"conv128_1/conv2/scale/weights","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.029993299409454943,"min":3.630716562271118}},
 
+          {"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"
 
+      ]
 
+  }
 
+]

BIN
public/models/face_recognition_model.bin
View File


+ 30 - 0
public/models/tiny_face_detector_model-weights_manifest.json
View File 

@@ -0,0 +1,30 @@
 
+[
 
+  {
 
+      "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"
 
+      ]
 
+  }
 
+]

BIN
public/models/tiny_face_detector_model.bin
View File


+ 9 - 0
src/api/lepao.js
View File 

@@ -9,6 +9,7 @@ const api = {
 
   GetRecordDetail: '/Lepao/GetRecordDetail',
 
   GetRecordDetail: '/Lepao/GetRecordDetail',
 
   AdminRecords: '/Admin/Lepao/Records',
 
   AdminRecords: '/Admin/Lepao/Records',
 
   AdminGetRecordDetail: '/Admin/Lepao/GetRecordDetail',
 
   AdminGetRecordDetail: '/Admin/Lepao/GetRecordDetail',
 
+  BeginFaceReco: '/Face/BeginFaceReco'
 
 }
 
 }
 
 
 
 export function addAccount (parameter) {
 
 export function addAccount (parameter) {
 
@@ -90,3 +91,11 @@ export function adminGetRecordDetail (parameter) {
 
     params: parameter
 
     params: parameter
 
   })
 
   })
 
 }
 
 }
 
+
 
+export function BeginFaceReco (parameter) {
 
+  return request({
 
+    url: api.BeginFaceReco,
 
+    method: 'post',
 
+    data: parameter
 
+  })
 
+}

+ 1 - 0
src/layout/default-layout.vue
View File 

@@ -90,6 +90,7 @@ onUnmounted(() => {
 
 @nav-size-height: 60px;
 
 @nav-size-height: 60px;
 
 
 
 .layout {
 
 .layout {
 
+  min-width: 1280px;
 
   width: 100%;
 
   width: 100%;
 
   height: 100%;
 
   height: 100%;
 
 }
 
 }

+ 1 - 0
src/pages/Main/Main.vue
View File 

@@ -40,6 +40,7 @@ const scrollToSection = (sectionId) => {
 
 .section {
 
 .section {
 
     padding: 0;
 
     padding: 0;
 
     margin: 0;
 
     margin: 0;
 
+    min-width: 1280px;
 
     width: 100%;
 
     width: 100%;
 
     min-height: 100vh;
 
     min-height: 100vh;
 
     scroll-snap-align: start;
 
     scroll-snap-align: start;

+ 27 - 0
src/pages/face/components/doc.vue
View File 

@@ -0,0 +1,27 @@
 
+<template>
 
+    <div style="text-align: left;">
 
+        <p style="text-indent: 2em;">为保障识别准确性与用户隐私，请在使用人脸识别功能前阅读并遵守下列须知。</p>
 
+
 
+        <h3>一、拍摄与画面要求</h3>
 
+        <ol>
 
+            <li>请使用设备原生相机拍摄，确保画面清晰并<strong>关闭美颜/磨皮/滤镜</strong>等图像后处理功能。</li>
 
+            <li>拍摄时面部不得被遮挡：不得佩戴帽子、口罩；刘海不得覆盖眼睛；请避免使用手势或其他物品遮挡面部。</li>
 
+            <li>画面应完整包含面部轮廓：从<strong>头顶发尖</strong>至<strong>肩部锁骨</strong>位置均应在取景范围内。</li>
 
+        </ol>
 
+
 
+        <h3>二、光线与环境</h3>
 
+        <ol>
 
+            <li>避免强光直射或逆光拍摄，以免影响识别效果。</li>
 
+            <li>如佩戴眼镜，请调整角度或摘除以减少镜片反光。</li>
 
+            <li>推荐在光线均匀、背景干净的环境下拍摄。</li>
 
+        </ol>
 
+
 
+        <h3>三、数据使用范围与隐私承诺</h3>
 
+        <ol>
 
+            <li>RunForge 仅在<strong>校园乐跑活动的人脸识别</strong>环节使用所采集的人脸数据，不作其他用途。</li>
 
+            <li>所有人脸数据将被妥善保存与加密保护；未经数据主体的明确同意，RunForge 不会向第三方披露或挪用该类数据。</li>
 
+            <li>若需删除您的数据，请联系RunForge客服。</li>
 
+        </ol>
 
+    </div>
 
+</template>
 
+

+ 466 - 0
src/pages/face/components/faceReco.vue
View File 

@@ -0,0 +1,466 @@
 
+<template>
 
+  <div class="container">
 
+    <div v-if="step === 1">
 
+      <div class="faceWindowWrapper">
 
+        <div class="faceWindow" :style="{ borderColor: tagColor }">
 
+          <video id="page_draw-video" muted playsinline></video>
 
+        </div>
 
+        <div class="changeButton">
 
+          <a-button type="primary" shape="circle"
 
+            @click="state.constraints.video.facingMode === 'user' ? state.constraints.video.facingMode = 'environment' : state.constraints.video.facingMode = 'user'">
 
+            <icon-sync />
 
+          </a-button>
 
+        </div>
 
+      </div>
 
+
 
+
 
+      <div class="faceInfo">
 
+        <a-tag size="large" :color="tagColor">
 
+          {{ tagInfo }}
 
+        </a-tag>
 
+      </div>
 
+      <div class="countTime" v-if="state.isRecording">
 
+        <span>还需等待：</span>
 
+        <span class="time">{{ recTime }}</span>
 
+        <span>s</span>
 
+      </div>
 
+    </div>
 
+
 
+    <div v-if="step === 2">
 
+      <a-spin dot tip="人脸信息上传中，请稍候..." />
 
+    </div>
 
+
 
+    <div class="success" v-if="step === 3">
 
+      <a-result status="success" title="识别完成">
 
+        <template #extra>
 
+          <a-space>
 
+            <a-button type='primary' @click="$router.go(0)">返回</a-button>
 
+          </a-space>
 
+        </template>
 
+      </a-result>
 
+    </div>
 
+
 
+    <div class="userInfo">
 
+      <div class="left">
 
+        <a-avatar>
 
+          <img :alt="props.userInfo.name ?? props.userInfo.student_num"
 
+            :src="props.userInfo.user_avatar ?? 'https://lepao-cloud.xxoo365.top/view.php/25aa126dc406974ff3579a99a2c6501a.png'" />
 
+        </a-avatar>
 
+      </div>
 
+      <div class="right">
 
+        <div class="name">{{ props.userInfo.name }}</div>
 
+        <div class="sub">{{ props.userInfo.academy_name }}</div>
 
+      </div>
 
+    </div>
 
+  </div>
 
+
 
+  <div class="page" style="display: none">
 
+    <div class="page_draw" 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>
 
+    </div>
 
+  </div>
 
+
 
+  <div class="loading" v-if="state.netsLoadModel">
 
+    <div class="loadingTip">
 
+      <icon-loading :size="32" />
 
+      <div class="text">努力加载中</div>
 
+    </div>
 
+  </div>
 
+</template>
 
+
 
+<script setup>
 
+import { Message } from "@arco-design/web-vue"
 
+import * as faceapi from "@vladmandic/face-api"
 
+import axios from 'axios'
 
+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')
 
+const tagColor = ref('blue')
 
+const step = ref(1)
 
+const recTime = ref(10)
 
+let isSuccessRecording = false
 
+let countdownTimer = null
 
+
 
+const props = defineProps({
 
+  userInfo: {
 
+    type: Object,
 
+    required: true
 
+  }
 
+})
 
+
 
+/**属性状态 */
 
+const state = reactive({
 
+  netsLoadModel: true,
 
+  netsType: "tinyFaceDetector",
 
+  netsOptions: {
 
+    ssdMobilenetv1: undefined,
 
+    tinyFaceDetector: undefined,
 
+  },
 
+  faceMatcher: null,
 
+  targetImgEl: null,
 
+  targetCanvasEl: null,
 
+  discernVideoEl: null,
 
+  discernCanvasEl: null,
 
+  timer: 0,
 
+  constraints: {
 
+    audio: false,
 
+    video: {
 
+      width: { min: 320, ideal: 720, max: 1280 },
 
+      height: { min: 200, ideal: 480, max: 720 },
 
+      frameRate: { min: 7, ideal: 15, max: 30 },
 
+      facingMode: "user",
 
+    },
 
+  },
 
+  stream: null,
 
+
 
+  /** 录制相关 */
 
+  recorder: null,
 
+  recordingChunks: [],
 
+  recordingTimer: null,
 
+  isRecording: false,
 
+  lastBlob: null,
 
+  uploading: false, // 上传状态
 
+})
 
+
 
+/**启动录制 */
 
+function startRecording() {
 
+  if (state.isRecording || !state.stream) return
 
+  state.recordingChunks = []
 
+  state.recorder = new MediaRecorder(state.stream, { mimeType: "video/webm" })
 
+
 
+  state.recorder.ondataavailable = (e) => {
 
+    if (e.data.size > 0) {
 
+      state.recordingChunks.push(e.data)
 
+    }
 
+  }
 
+
 
+  // 停止录制时
 
+  state.recorder.onstop = () => {
 
+    const blob = new Blob(state.recordingChunks, { type: "video/webm" })
 
+
 
+    if (isSuccessRecording && blob) {
 
+      uploadVideo(blob)
 
+    }
 
+  }
 
+
 
+  state.recorder.start()
 
+  state.isRecording = true
 
+  recTime.value = 10   // ✅ 开始时重置倒计时
 
+
 
+  // 倒计时逻辑
 
+  countdownTimer = setInterval(() => {
 
+    if (recTime.value > 0) {
 
+      recTime.value -= 1
 
+    }
 
+  }, 1000)
 
+
 
+  // 10秒后自动停止并标记为成功
 
+  state.recordingTimer = setTimeout(() => {
 
+    isSuccessRecording = true
 
+    stopRecording()   // ✅ 成功录制
 
+    fnClose()
 
+
 
+    step.value = 3
 
+
 
+  }, recTime.value * 1000)
 
+}
 
+
 
+/**结束录制 */
 
+function stopRecording() {
 
+  if (state.recorder && state.isRecording) {
 
+    state.recorder.stop()
 
+    state.isRecording = false
 
+
 
+    clearTimeout(state.recordingTimer)
 
+    state.recordingTimer = null
 
+
 
+    clearInterval(countdownTimer)
 
+    countdownTimer = null
 
+    recTime.value = 10
 
+  }
 
+}
 
+
 
+/**上传视频到服务器 */
 
+async function uploadVideo(blob) {
 
+  try {
 
+    step.value = 2
 
+    const formData = new FormData()
 
+    formData.append("student_num", props.userInfo.student_num)
 
+    formData.append("upload", blob, "face_record.webm")
 
+
 
+    const url = import.meta.env.VITE_APP_API_BASE_URL + '/UploadFaceVideo'
 
+
 
+    const res = await axios.post(url, formData, {
 
+      headers: { "Content-Type": "multipart/form-data" }
 
+    })
 
+
 
+    if (!res || !res.data || res.data.code !== 0) throw new Error("上传失败")
 
+    Message.success("人脸数据上传成功")
 
+  } catch (err) {
 
+    Message.error("人脸数据上传失败")
 
+    console.error(err)
 
+  } finally {
 
+    step.value = 3
 
+  }
 
+}
 
+
 
+/**重新开始录制 */
 
+function restartRecording() {
 
+  stopRecording()
 
+  // 小延迟确保上一次 recorder 彻底结束
 
+  setTimeout(() => {
 
+    startRecording()
 
+  }, 200)
 
+}
 
+
 
+/**初始化模型加载 */
 
+async function fnLoadModel() {
 
+  const modelsPath = `/models`
 
+  await faceapi.nets.faceLandmark68Net.load(modelsPath)
 
+  await faceapi.nets.faceRecognitionNet.load(modelsPath)
 
+  await faceapi.nets.tinyFaceDetector.load(modelsPath)
 
+  state.netsOptions.tinyFaceDetector = new faceapi.TinyFaceDetectorOptions({
 
+    inputSize: 416,
 
+    scoreThreshold: 0.5,
 
+  })
 
+
 
+  state.targetImgEl = document.getElementById("page_draw-img-target")
 
+  state.discernVideoEl = document.getElementById("page_draw-video")
 
+  state.discernCanvasEl = document.getElementById("page_draw-video-canvas")
 
+
 
+  state.netsLoadModel = false
 
+}
 
+
 
+/**根据模型参数识别绘制--目标图 */
 
+async function fnRedrawTarget() {
 
+  const detect = await faceapi
 
+    .detectAllFaces(state.targetImgEl, state.netsOptions[state.netsType])
 
+    .withFaceLandmarks()
 
+    .withFaceDescriptors()
 
+  if (!detect || detect.length === 0) {
 
+    state.faceMatcher = null
 
+    return
 
+  }
 
+  state.faceMatcher = new faceapi.FaceMatcher(detect)
 
+}
 
+
 
+/**根据模型参数识别绘制 */
 
+async function fnRedrawDiscern() {
 
+  if (!state.faceMatcher) return
 
+
 
+  if (state.discernVideoEl.paused) {
 
+    clearTimeout(state.timer)
 
+    state.timer = 0
 
+    return
 
+  }
 
+
 
+  const detect = await faceapi
 
+    .detectAllFaces(state.discernVideoEl, state.netsOptions[state.netsType])
 
+    .withFaceLandmarks()
 
+    .withFaceDescriptors()
 
+
 
+  if (!detect || detect.length === 0) {
 
+    tagColor.value = 'blue'
 
+    tagInfo.value = '请将面部完全放置在取景框中央'
 
+    if (state.isRecording) stopRecording()
 
+    // 延迟下一次识别，避免直接递归造成栈/CPU 问题
 
+    clearTimeout(state.timer)
 
+    state.timer = setTimeout(() => fnRedrawDiscern(), 300)
 
+    return
 
+  }
 
+
 
+  const dims = faceapi.matchDimensions(
 
+    state.discernCanvasEl,
 
+    state.discernVideoEl,
 
+    true
 
+  )
 
+  const result = faceapi.resizeResults(detect, dims)
 
+  // 若检测到多张脸，逐一判断（若任一匹配成功则开始录制）
 
+  for (const item of result) {
 
+    const descriptor = item.descriptor
 
+    const best = state.faceMatcher.findBestMatch(descriptor)
 
+
 
+    if (best) {
 
+      if (best._distance <= 0.6) {
 
+        tagColor.value = 'green'
 
+        tagInfo.value = '录制中，请确保面部不要离开取景框'
 
+        if (!state.isRecording) startRecording()
 
+        // 找到一个合格的人脸就可以停止遍历
 
+        break
 
+      } else {
 
+        tagColor.value = 'red'
 
+        tagInfo.value = `人脸匹配失败，请确保为 ${props?.userInfo?.name} 本人操作`
 
+        if (state.isRecording) restartRecording()
 
+      }
 
+    }
 
+  }
 
+
 
+  // 继续调度下一次识别（0ms 相当于下一事件循环）
 
+  clearTimeout(state.timer)
 
+  state.timer = setTimeout(() => fnRedrawDiscern(), 0)
 
+}
 
+
 
+/**启动摄像头视频媒体 */
 
+async function fnOpen() {
 
+  if (state.stream !== null) return
 
+  try {
 
+    state.stream = {}
 
+    const stream = await navigator.mediaDevices.getUserMedia(state.constraints)
 
+    state.stream = stream
 
+    state.discernVideoEl.srcObject = stream
 
+    await state.discernVideoEl.play()
 
+    state.discernCanvasEl.width = state.discernVideoEl.videoWidth
 
+    state.discernCanvasEl.height = state.discernVideoEl.videoHeight
 
+    // 稍作延迟再开始识别
 
+    setTimeout(() => fnRedrawDiscern(), 300)
 
+  } catch (error) {
 
+    state.stream = null
 
+
 
+    Message.error("视频媒体流获取错误: " + error)
 
+  }
 
+}
 
+
 
+/**结束摄像头视频媒体 */
 
+function fnClose() {
 
+  if (state.stream === null) return
 
+  try {
 
+    state.discernVideoEl.pause()
 
+    state.discernVideoEl.srcObject = null
 
+    state.stream.getTracks().forEach((track) => track.stop())
 
+  } catch (err) {
 
+    console.warn("关闭流时出错：", err)
 
+  } finally {
 
+    state.stream = null
 
+    clearTimeout(state.timer)
 
+    state.timer = 0
 
+    stopRecording()
 
+  }
 
+}
 
+
 
+watch(
 
+  () => state.constraints.video.facingMode,
 
+  () => {
 
+    if (state.stream !== null) {
 
+      fnClose()
 
+      fnOpen()
 
+    } else {
 
+      fnClose()
 
+    }
 
+  }
 
+)
 
+
 
+onMounted(() => {
 
+  fnLoadModel().then(() => {
 
+    fnRedrawTarget()
 
+    fnOpen()
 
+  })
 
+})
 
+
 
+onUnmounted(() => {
 
+  fnClose()
 
+})
 
+</script>
 
+
 
+<style lang="less" scoped>
 
+.container {
 
+  display: flex;
 
+  flex-direction: column;
 
+  justify-content: center;
 
+  align-items: center;
 
+}
 
+
 
+.faceWindowWrapper {
 
+  position: relative;
 
+  width: 270px;
 
+  height: 270px;
 
+}
 
+
 
+/* 圆形视频框 */
 
+.faceWindow {
 
+  width: 100%;
 
+  height: 100%;
 
+  border-radius: 50%;
 
+  border: 5px solid;
 
+  overflow: hidden;
 
+  background: #fff;
 
+  position: relative;
 
+}
 
+
 
+/* 按钮 */
 
+.changeButton {
 
+  position: absolute;
 
+  right: -10px;
 
+  /* 超出圆形框右边 */
 
+  bottom: -10px;
 
+  /* 超出圆形框底边 */
 
+}
 
+
 
+.faceInfo {
 
+  margin-top: 20px;
 
+}
 
+
 
+.countTime {
 
+  margin-top: 10px;
 
+  font-size: 1.1em;
 
+  font-family: AlibabaSans, -apple-system, BlinkMacSystemFont;
 
+
 
+  .time {
 
+    font-size: 1.3em;
 
+  }
 
+}
 
+
 
+.faceWindow video {
 
+  width: 100%;
 
+  height: 100%;
 
+  object-fit: cover;
 
+  /* 保持视频比例并填满圆形 */
 
+  transform: scaleX(-1);
 
+}
 
+
 
+.userInfo {
 
+  display: flex;
 
+  align-items: center;
 
+  text-align: left;
 
+  height: 60px;
 
+  min-width: 300px;
 
+  margin-top: 20px;
 
+  border-radius: 10px;
 
+  background-color: rgba(190, 218, 255, 0.5);
 
+  padding: 10px;
 
+
 
+  .right {
 
+    margin-left: 10px;
 
+
 
+    .name {
 
+      font-size: 1.2em;
 
+      font-weight: bold;
 
+    }
 
+  }
 
+}
 
+
 
+.loading {
 
+  position: fixed;
 
+  top: 0;
 
+  left: 0;
 
+  height: 100%;
 
+  width: 100%;
 
+  background-color: rgba(0, 0, 0, 0.2);
 
+  z-index: 9999;
 
+  border-radius: 10px;
 
+
 
+  .loadingTip {
 
+    position: absolute;
 
+    top: 50%;
 
+    left: 50%;
 
+    transform: translate(-50%, -50%);
 
+    color: #3370FF;
 
+
 
+    .text {
 
+      font-family: 'Alimama ShuHeiTi';
 
+      font-size: 1.2em;
 
+    }
 
+  }
 
+}
 
+</style>

+ 0 - 4
src/pages/face/faceUpload.vue
View File 

@@ -1,4 +0,0 @@
 
-<template>
 
-    </template>
 
-
 
-<script setup></script>

+ 140 - 0
src/pages/face/index.vue
View File 

@@ -0,0 +1,140 @@
 
+<template>
 
+    <div class="root">
 
+        <div class="card" v-if="step === 1">
 
+            <div class="logo">
 
+                <img alt="RunForge" src="/logo.svg" height="40">
 
+                <span class="title">RunForge | 人脸录入</span>
 
+            </div>
 
+
 
+            <input type="text" id="name" placeholder="姓名">
 
+            <input type="text" id="student_num" placeholder="学号">
 
+
 
+            <a-button type="primary" shape="round" size="large" @click="getUserInfo"
 
+                :loading="buttonLoading">开始人脸识别</a-button>
 
+        </div>
 
+
 
+        <div class="card" v-else-if="step === 2">
 
+            <div class="logo">
 
+                <img alt="RunForge" src="/logo.svg" height="40">
 
+                <span class="title">人脸识别注意事项</span>
 
+            </div>
 
+            <Doc />
 
+            <a-button type="primary" shape="round" size="large" @click="step = 3"
 
+                :loading="buttonLoading">我已阅读并同意</a-button>
 
+        </div>
 
+
 
+        <div class="card" v-else-if="step === 3">
 
+            <div class="logo">
 
+                <img alt="RunForge" src="/logo.svg" height="40">
 
+                <span class="title">RunForge | 人脸识别</span>
 
+            </div>
 
+            <FaceReco :userInfo="userInfo"/>
 
+        </div>
 
+    </div>
 
+</template>
 
+
 
+<script setup>
 
+import { ref, reactive, onMounted } from 'vue'
 
+import { Message } from '@arco-design/web-vue'
 
+import { BeginFaceReco } from '@/api/lepao'
 
+import Doc from './components/doc.vue'
 
+import FaceReco from './components/faceReco.vue'
 
+
 
+const step = ref(1)
 
+const buttonLoading = ref(false)
 
+const userInfo = ref({})
 
+
 
+const getUserInfo = async () => {
 
+    try {
 
+        buttonLoading.value = true
 
+        const name = document.getElementById('name').value
 
+        const student_num = document.getElementById('student_num').value
 
+        if (!name || !student_num)
 
+            return Message.error('请将姓名、学号填写完整')
 
+
 
+        const res = await BeginFaceReco({ name, student_num })
 
+        if (!res || res.code !== 0)
 
+            return Message.error(res?.msg ?? '获取人脸识别信息失败！请稍后再试')
 
+        userInfo.value = res.data
 
+        step.value = 2
 
+    } catch (error) {
 
+        return Message.error('获取人脸识别信息失败！请稍后再试')
 
+    } finally {
 
+        buttonLoading.value = false
 
+    }
 
+}
 
+
 
+// 预加载模型
 
+
 
+</script>
 
+
 
+<style lang="less" scoped>
 
+.root {
 
+    width: 100%;
 
+    min-height: 100vh;
 
+    font-family: 'Arial', sans-serif;
 
+    background: linear-gradient(to right, #74ebd5, #ACB6E5);
 
+    display: flex;
 
+    flex-direction: column;
 
+    align-items: center;
 
+    justify-content: center;
 
+
 
+    .card {
 
+        background-color: #fff;
 
+        border-radius: 20px;
 
+        box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1);
 
+        padding: 30px;
 
+        width: 75%;
 
+        max-width: 500px;
 
+        min-width: 300px;
 
+        min-height: 300px;
 
+        text-align: center;
 
+        margin-bottom: 30px;
 
+        margin-top: 30px;
 
+        display: flex;
 
+        flex-direction: column;
 
+        align-items: center;
 
+        justify-content: center;
 
+
 
+        .logo {
 
+            display: flex;
 
+            justify-content: center;
 
+            align-items: center;
 
+            height: 60px;
 
+            margin-bottom: 20px;
 
+
 
+            .title {
 
+                color: #3370FF;
 
+                font-size: 1.6em;
 
+
 
+                font-weight: bold;
 
+                margin-left: 10px;
 
+                font-family: Alimama ShuHeiTi, -apple-system, BlinkMacSystemFont;
 
+            }
 
+
 
+            img {
 
+                margin-top: 0;
 
+            }
 
+        }
 
+    }
 
+
 
+    input[type="text"],
 
+    input[type="password"] {
 
+        padding: 10px;
 
+        border: 1px solid #ccc;
 
+        border-radius: 10px;
 
+        width: 80%;
 
+        margin-bottom: 10px;
 
+    }
 
+
 
+    button {
 
+        padding: 10px 20px;
 
+        border: none;
 
+        border-radius: 10px;
 
+        background-color: #4A90E2;
 
+        color: #fff;
 
+        cursor: pointer;
 
+        margin-top: 10px;
 
+    }
 
+}
 
+</style>

+ 10 - 1
src/router/index.js
View File 

@@ -15,6 +15,15 @@ const routes = [
 
             onlyWeb: true
 
             onlyWeb: true
 
         }
 
         }
 
     },
 
     },
 
+    {
 
+        path: "/faceReco",
 
+        name: "faceReco",
 
+        component: () => import('../pages/face/index.vue'),
 
+        meta: {
 
+            hideInMenu: true,
 
+            onlyWeb: true
 
+        }
 
+    },
 
     {
 
     {
 
         path: "/login",
 
         path: "/login",
 
         name: "login",
 
         name: "login",
 
@@ -416,7 +425,7 @@ const router = VueRouter.createRouter({
 
     routes: routes
 
     routes: routes
 
 })
 
 })
 
 
 
-const allow = ['/', '/login', '/qxs/getBookList', '/htmlView/view', '/download/down']
 
+const allow = ['/', '/login', '/qxs/getBookList', '/htmlView/view', '/download/down', '/faceReco']
 
 
 
 router.beforeEach(async (to, from, next) => {
 
 router.beforeEach(async (to, from, next) => {
 
     if (!allow.includes(to.path)) {
 
     if (!allow.includes(to.path)) {

+ 0 - 1
src/style.css
View File 

@@ -32,7 +32,6 @@ body {
 
   margin: 0;
 
   margin: 0;
 
   display: flex;
 
   display: flex;
 
   place-items: center;
 
   place-items: center;
 
-  min-width: 1280px;
 
   min-height: 100%;
 
   min-height: 100%;
 
 }
 
 }