Signed-off-by: sairate <sairate@sina.cn>

.idea/workspace.xml

@@ -5,6 +5,8 @@
   </component>
   <component name="ChangeListManager">
     <list default="true" id="c512d54a-7f5f-4cfb-af24-29d5821a33bf" name="更改" comment="Signed-off-by: sairate &lt;sairate@sina.cn&gt;">
+      <change afterPath="$PROJECT_DIR$/app.py" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/templates/index.html" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/captured_faces/face_1.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/captured_faces/face_1.jpg" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/captured_faces/face_10.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/captured_faces/face_10.jpg" afterDir="false" />
@@ -16,7 +18,7 @@
       <change beforePath="$PROJECT_DIR$/captured_faces/face_7.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/captured_faces/face_7.jpg" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/captured_faces/face_8.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/captured_faces/face_8.jpg" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/captured_faces/face_9.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/captured_faces/face_9.jpg" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/face_database.db" beforeDir="false" afterPath="$PROJECT_DIR$/face_database.db" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/face_database.db" beforeDir="false" />
       <change beforePath="$PROJECT_DIR$/scanf_face.py" beforeDir="false" afterPath="$PROJECT_DIR$/scanf_face.py" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
@@ -28,6 +30,7 @@
     <option name="RECENT_TEMPLATES">
       <list>
         <option value="Python Script" />
+        <option value="HTML File" />
       </list>
     </option>
   </component>
@@ -57,26 +60,28 @@
     <option name="hideEmptyMiddlePackages" value="true" />
     <option name="showLibraryContents" value="true" />
   </component>
-  <component name="PropertiesComponent">{
+  <component name="PropertiesComponent"><![CDATA[{
-  &quot;keyToString&quot;: {
+  "keyToString": {
-    &quot;ASKED_ADD_EXTERNAL_FILES&quot;: &quot;true&quot;,
+    "ASKED_ADD_EXTERNAL_FILES": "true",
-    &quot;Python.add_face.executor&quot;: &quot;Run&quot;,
+    "DefaultHtmlFileTemplate": "HTML File",
-    &quot;Python.match_face.executor&quot;: &quot;Run&quot;,
+    "Python.add_face.executor": "Run",
-    &quot;Python.scanf_face.executor&quot;: &quot;Run&quot;,
+    "Python.app.executor": "Run",
-    &quot;Python.sqlite.executor&quot;: &quot;Run&quot;,
+    "Python.match_face.executor": "Run",
-    &quot;RunOnceActivity.OpenProjectViewOnStart&quot;: &quot;true&quot;,
+    "Python.scanf_face.executor": "Run",
-    &quot;RunOnceActivity.ShowReadmeOnStart&quot;: &quot;true&quot;,
+    "Python.sqlite.executor": "Run",
-    &quot;SHARE_PROJECT_CONFIGURATION_FILES&quot;: &quot;true&quot;,
+    "RunOnceActivity.OpenProjectViewOnStart": "true",
-    &quot;git-widget-placeholder&quot;: &quot;master&quot;,
+    "RunOnceActivity.ShowReadmeOnStart": "true",
-    &quot;node.js.detected.package.eslint&quot;: &quot;true&quot;,
+    "SHARE_PROJECT_CONFIGURATION_FILES": "true",
-    &quot;node.js.detected.package.tslint&quot;: &quot;true&quot;,
+    "git-widget-placeholder": "master",
-    &quot;node.js.selected.package.eslint&quot;: &quot;(autodetect)&quot;,
+    "node.js.detected.package.eslint": "true",
-    &quot;node.js.selected.package.tslint&quot;: &quot;(autodetect)&quot;,
+    "node.js.detected.package.tslint": "true",
-    &quot;nodejs_package_manager_path&quot;: &quot;npm&quot;,
+    "node.js.selected.package.eslint": "(autodetect)",
-    &quot;settings.editor.selected.configurable&quot;: &quot;com.jetbrains.python.configuration.PyActiveSdkModuleConfigurable&quot;,
+    "node.js.selected.package.tslint": "(autodetect)",
-    &quot;vue.rearranger.settings.migration&quot;: &quot;true&quot;
+    "nodejs_package_manager_path": "npm",
+    "settings.editor.selected.configurable": "com.jetbrains.python.configuration.PyActiveSdkModuleConfigurable",
+    "vue.rearranger.settings.migration": "true"
   }
-}</component>
+}]]></component>
   <component name="RunManager" selected="Python.scanf_face">
     <configuration name="add_face" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="face" />
@@ -101,6 +106,29 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
+    <configuration name="app" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="face" />
+      <option name="ENV_FILES" value="" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/app.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
     <configuration name="match_face" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="face" />
       <option name="ENV_FILES" value="" />
@@ -173,6 +201,7 @@
     <recent_temporary>
       <list>
         <item itemvalue="Python.scanf_face" />
+        <item itemvalue="Python.app" />
         <item itemvalue="Python.match_face" />
         <item itemvalue="Python.add_face" />
         <item itemvalue="Python.sqlite" />
@@ -206,6 +235,11 @@
       <workItem from="1724382932780" duration="803000" />
       <workItem from="1724385627303" duration="110000" />
       <workItem from="1724388047550" duration="281000" />
+      <workItem from="1724392582289" duration="224000" />
+      <workItem from="1724402091135" duration="241000" />
+      <workItem from="1724487223382" duration="3000" />
+      <workItem from="1724487238846" duration="322000" />
+      <workItem from="1724546711749" duration="3708000" />
     </task>
     <task id="LOCAL-00001" summary="sairate">
       <option name="closed" value="true" />
@@ -262,7 +296,8 @@
   <component name="com.intellij.coverage.CoverageDataManagerImpl">
     <SUITE FILE_PATH="coverage/face$sqlite.coverage" NAME="sqlite 覆盖结果" MODIFIED="1724310603865" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/face$match_face.coverage" NAME="match_face 覆盖结果" MODIFIED="1724314395402" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
-    <SUITE FILE_PATH="coverage/face$scanf_face.coverage" NAME="scanf_face 覆盖结果" MODIFIED="1724388311934" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
+    <SUITE FILE_PATH="coverage/face$app.coverage" NAME="app 覆盖结果" MODIFIED="1724556824546" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
+    <SUITE FILE_PATH="coverage/face$scanf_face.coverage" NAME="scanf_face 覆盖结果" MODIFIED="1724556840774" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/face$add_face.coverage" NAME="add_face 覆盖结果" MODIFIED="1724311005030" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
   </component>
 </project>

app.py

@@ -0,0 +1,26 @@
+from flask import Flask, render_template
+import sqlite3
+import subprocess
+
+#subprocess.Popen(["python", "scanf_face.py"])
+
+
+app = Flask(__name__)
+
+# 从数据库中获取匹配日志记录
+def get_match_logs(db_name="face_database.db"):
+    conn = sqlite3.connect(db_name)
+    c = conn.cursor()
+    c.execute("SELECT name, identity, image_path, match_time FROM match_logs")
+    logs = c.fetchall()
+    conn.close()
+    return logs
+
+# 首页，展示匹配记录
+@app.route('/')
+def index():
+    logs = get_match_logs()
+    return render_template('index.html', logs=logs)
+
+if __name__ == '__main__':
+    app.run(debug=True)

scanf_face.py

@@ -3,18 +3,114 @@ import face_recognition
 import os
 import sqlite3
 import numpy as np
+from datetime import datetime
+import time
 
 # 初始化摄像头
 cap = cv2.VideoCapture(0)
-photo_count = 0
 max_photos = 10
-captured_images = []
 
 # 创建目录以保存照片
 save_path = "./captured_faces"
 os.makedirs(save_path, exist_ok=True)
 
-while photo_count < max_photos:
+
+def create_face_database(db_name="face_database.db"):
+    conn = sqlite3.connect(db_name)
+    c = conn.cursor()
+    c.execute('''CREATE TABLE IF NOT EXISTS faces
+                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
+                 name TEXT NOT NULL,
+                 identity TEXT NOT NULL,
+                 encoding BLOB NOT NULL)''')
+
+    # 创建匹配日志表
+    c.execute('''CREATE TABLE IF NOT EXISTS match_logs
+                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
+                 name TEXT NOT NULL,
+                 identity TEXT NOT NULL,
+                 image_path TEXT NOT NULL,
+                 match_time TEXT NOT NULL)''')
+    conn.commit()
+    conn.close()
+
+
+def add_face_to_database(name, identity, image_path, db_name="face_database.db"):
+    conn = sqlite3.connect(db_name)
+    c = conn.cursor()
+
+    # 加载图片并生成编码
+    image = face_recognition.load_image_file(image_path)
+    face_encodings = face_recognition.face_encodings(image)
+
+    if face_encodings:
+        face_encoding = face_encodings[0]
+        # 将编码转换为可以存储的格式
+        encoding_blob = np.array(face_encoding).tobytes()
+        c.execute("INSERT INTO faces (name, identity, encoding) VALUES (?, ?, ?)",
+                  (name, identity, encoding_blob))
+        conn.commit()
+    conn.close()
+
+
+def log_match(name, identity, image_path, db_name="face_database.db", log_file="match_log.txt"):
+    conn = sqlite3.connect(db_name)
+    c = conn.cursor()
+
+    # 获取当前时间
+    match_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    # 将匹配信息插入到匹配日志表中
+    c.execute("INSERT INTO match_logs (name, identity, image_path, match_time) VALUES (?, ?, ?, ?)",
+              (name, identity, image_path, match_time))
+    conn.commit()
+    conn.close()
+
+    # 将匹配信息写入文本文件
+    with open(log_file, "a") as f:
+        f.write(f"匹配成功: {name} ({identity}) 在 {image_path} 时间: {match_time}\n")
+
+
+def match_faces(captured_images, db_name="face_database.db", tolerance=0.4, log_file="match_log.txt"):
+    conn = sqlite3.connect(db_name)
+    c = conn.cursor()
+
+    # 获取数据库中所有存储的人脸编码
+    c.execute("SELECT name, identity, encoding FROM faces")
+    known_faces = c.fetchall()
+
+    for image_path in captured_images:
+        # 加载待匹配图片并生成编码
+        unknown_image = face_recognition.load_image_file(image_path)
+        face_encodings = face_recognition.face_encodings(unknown_image)
+
+        if len(face_encodings) == 0:
+            print(f"没有人脸 {image_path}")
+            continue  # 如果没有检测到人脸，跳过该图片
+
+        unknown_encoding = face_encodings[0]
+
+        for name, identity, encoding_blob in known_faces:
+            known_encoding = np.frombuffer(encoding_blob, dtype=np.float64)
+            match = face_recognition.compare_faces([known_encoding], unknown_encoding, tolerance=tolerance)
+
+            if match[0]:  # 如果匹配成功
+                print(f"发现匹配: {name} ({identity}) 在 {image_path}")
+                log_match(name, identity, image_path, db_name, log_file)  # 记录匹配信息和时间到数据库和TXT文件
+                conn.close()
+                return True  # 一旦找到匹配，返回成功
+        print(f"没发现匹配: 在 {image_path}")
+    conn.close()
+    return False  # 如果所有比较都没有匹配，返回失败
+
+# 创建人脸数据库
+create_face_database()
+
+# 向数据库中添加人脸
+add_face_to_database("屈礼", "居民", "./db_image/test.jpg")
+
+# 主程序循环
+while True:
     ret, frame = cap.read()
     if not ret:
         break
@@ -25,6 +121,20 @@ while photo_count < max_photos:
     # 检测人脸
     face_locations = face_recognition.face_locations(rgb_frame)
 
+    if face_locations:
+        print("检测到人脸，开始抓拍...")
+
+        captured_images = []
+        photo_count = 0
+
+        while photo_count < max_photos:
+            ret, frame = cap.read()
+            if not ret:
+                break
+
+            rgb_frame = frame[:, :, ::-1]
+            face_locations = face_recognition.face_locations(rgb_frame)
+
             for face_location in face_locations:
                 top, right, bottom, left = face_location
 
@@ -48,78 +158,16 @@ while photo_count < max_photos:
             if cv2.waitKey(1) & 0xFF == ord('q'):
                 break
 
-cap.release()
+        # 关闭窗口
         cv2.destroyAllWindows()
 
-print(f"Captured {photo_count} images.")
-
-def create_face_database(db_name="face_database.db"):
-    conn = sqlite3.connect(db_name)
-    c = conn.cursor()
-    c.execute('''CREATE TABLE IF NOT EXISTS faces
-                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
-                 name TEXT NOT NULL,
-                 encoding BLOB NOT NULL)''')
-    conn.commit()
-    conn.close()
-
-def add_face_to_database(name, image_path, db_name="face_database.db"):
-    conn = sqlite3.connect(db_name)
-    c = conn.cursor()
-
-    # 加载图片并生成编码
-    image = face_recognition.load_image_file(image_path)
-    face_encodings = face_recognition.face_encodings(image)
-
-    if face_encodings:
-        face_encoding = face_encodings[0]
-        # 将编码转换为可以存储的格式
-        encoding_blob = np.array(face_encoding).tobytes()
-        c.execute("INSERT INTO faces (name, encoding) VALUES (?, ?)",
-                  (name, encoding_blob))
-        conn.commit()
-    conn.close()
-
-def match_faces(captured_images, db_name="face_database.db", tolerance=0.4):
-    conn = sqlite3.connect(db_name)
-    c = conn.cursor()
-
-    # 获取数据库中所有存储的人脸编码
-    c.execute("SELECT name, encoding FROM faces")
-    known_faces = c.fetchall()
-
-    for image_path in captured_images:
-        # 加载待匹配图片并生成编码
-        unknown_image = face_recognition.load_image_file(image_path)
-        face_encodings = face_recognition.face_encodings(unknown_image)
-
-        if len(face_encodings) == 0:
-            print(f"没有人脸 {image_path}")
-            continue  # 如果没有检测到人脸，跳过该图片
-
-        unknown_encoding = face_encodings[0]
-
-        for name, encoding_blob in known_faces:
-            known_encoding = np.frombuffer(encoding_blob, dtype=np.float64)
-            match = face_recognition.compare_faces([known_encoding], unknown_encoding, tolerance=tolerance)
-
-            if match[0]:  # 如果匹配成功
-                print(f"发现匹配: {name} 在 {image_path}")
-                conn.close()
-                return True  # 一旦找到匹配，返回成功
-            else:
-                print(f"没发现匹配: 在 {image_path}")
-    conn.close()
-    return False  # 如果所有比较都没有匹配，返回失败
-
-# 创建人脸数据库
-create_face_database()
-
-# 向数据库中添加人脸
-add_face_to_database("屈礼", "./db_image/test.jpg")
-
-# 逐张匹配抓拍的照片
         if match_faces(captured_images):
             print("至少一张匹配")
         else:
             print("没有匹配")
+
+        # 等待60秒后继续循环检测
+        print("等待30秒后继续...")
+        time.sleep(30)
+
+cap.release()

templates/index.html

@@ -0,0 +1,60 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>匹配记录</title>
+    <style>
+        body {
+            font-family: Arial, sans-serif;
+            background-color: #f4f4f4;
+            margin: 0;
+            padding: 0;
+        }
+        .container {
+            width: 80%;
+            margin: 20px auto;
+            background: #fff;
+            padding: 20px;
+            box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
+        }
+        table {
+            width: 100%;
+            border-collapse: collapse;
+            margin: 20px 0;
+        }
+        table, th, td {
+            border: 1px solid #ddd;
+        }
+        th, td {
+            padding: 10px;
+            text-align: left;
+        }
+        th {
+            background-color: #4CAF50;
+            color: white;
+        }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <h1>Face Match Logs</h1>
+        <table>
+            <tr>
+                <th>Name</th>
+                <th>Identity</th>
+                <th>Image Path</th>
+                <th>Match Time</th>
+            </tr>
+            {% for log in logs %}
+            <tr>
+                <td>{{ log[0] }}</td>
+                <td>{{ log[1] }}</td>
+                <td>{{ log[2] }}</td>
+                <td>{{ log[3] }}</td>
+            </tr>
+            {% endfor %}
+        </table>
+    </div>
+</body>
+</html>