From 92f69c57b920cf62ecc9f15f9ed196fa26dbf2ac Mon Sep 17 00:00:00 2001
From: chenyc <501753378@qq.com>
Date: 星期四, 29 五月 2025 20:26:16 +0800
Subject: [PATCH] gx优化

---
 app.js.js |   20 +++++++++++++++-----
 1 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/app.js b/app.js.js
similarity index 91%
rename from app.js
rename to app.js.js
index 154455e..1da0585 100644
--- a/app.js
+++ b/app.js.js
@@ -90,14 +90,20 @@
        // 调整图像大小
       const resizedImage = faceapi.resizeResults(img, { width: 600, height: 600 });
        // 设置检测选项
-      const options = new faceapi.SsdMobilenetv1Options({ minConfidence: 0.3 });
+      const options = new faceapi.SsdMobilenetv1Options({ minConfidence: 0.6 });
       counter = (i / images.length) * 100;
       console.log(`Progress = ${counter}%`);
       // Read each face and save the face descriptions in the descriptions array
       const detections = await faceapi.detectSingleFace(resizedImage,options).withFaceLandmarks().withFaceDescriptor();
-      if(detections?.descriptor){
+      console.log('kankan ================')
+      console.log('kankan ================')
+      console.log('kankan ================')
+      console.log(detections===undefined)
+      if(detections&&detections.descriptor){
         descriptions.push(detections.descriptor);
         imgs.push(images[i])
+      }else{
+        return '录入失败';
       }
       
     }
@@ -112,6 +118,9 @@
       descriptions: descriptions,
       images:imgs
     });
+    console.log(label)
+    console.log(descriptions)
+    console.log(imgs)
     try{
       await createFace.save();
       console.log('人脸录入成功!')
@@ -165,14 +174,15 @@
   }
 
   // 加载面匹配器以查找匹配面
-  const faceMatcher = new faceapi.FaceMatcher(faces, 0.5);
+  const faceMatcher = new faceapi.FaceMatcher(faces, 0.48);
   // 使用画布或其他方法读取图像
   const img = await canvas.loadImage(image);
   // // 调整图像大小
   // const resizedImage = faceapi.resizeResults(img, { width: 600, height: 600 });
 
-  // // 设置检测选项
-  const options = new faceapi.SsdMobilenetv1Options({ minConfidence: 0.3 });
+  // // 设置检测选项 味着只有当人脸检测的置信度大于或等于0.3时,该检测结果才会被接受。换句话说,如果模型认为检测到的对象是人脸的确定性低于30%,
+  //则不会将这个检测结果包含在最终输出中。这有助于减少误报(即错误地将非人脸区域识别为人脸的情况)。
+  const options = new faceapi.SsdMobilenetv1Options({ minConfidence: 0.4 });
   let temp = faceapi.createCanvasFromMedia(img);
 
   // 处理模型的图像

--
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