更新使用opencv自己的人脸

start.bat

@@ -15,8 +15,6 @@ python -m pip install --upgrade pip
 echo Installing requirements one by one...
 echo Installing OpenCV...
 python -m pip install opencv-python==4.8.1.78
-echo Installing MediaPipe...
-python -m pip install mediapipe==0.10.18
 echo Installing PyQt6...
 python -m pip install PyQt6==6.6.1 PyQt6-Qt6==6.6.1 PyQt6-sip==13.6.0
 

workspace_monitor.py

@@ -5,7 +5,6 @@ import sys
 import traceback
 import logging
 import os
-import mediapipe as mp
 from datetime import datetime
 from PyQt6.QtWidgets import (QApplication, QMainWindow, QWidget, QVBoxLayout, 
                             QHBoxLayout, QPushButton, QLabel, QSpinBox, 
@@ -38,7 +37,7 @@ try:
             try:
                 super().__init__()
                 logger.info("Initializing WorkspaceMonitor...")
-                self.setWindowTitle("自动锁屏")
+                self.setWindowTitle("工位监控系统")
                 self.setMinimumSize(1000, 700)
                 
                 # 系统托盘
@@ -50,13 +49,11 @@ try:
                 # 初始化变量
                 self.running = False
                 self.timeout = 10
-                logger.info("Initializing MediaPipe...")
+                logger.info("Loading face detection model...")
-                self.mp_face_detection = mp.solutions.face_detection
+                # 使用OpenCV的人脸检测器
-                self.mp_drawing = mp.solutions.drawing_utils
+                self.face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
-                self.face_detection = self.mp_face_detection.FaceDetection(
+                if self.face_cascade.empty():
-                    model_selection=1,
+                    raise Exception("无法加载人脸检测模型")
-                    min_detection_confidence=0.5
-                )
                 
                 logger.info("Opening camera...")
                 self.cap = cv2.VideoCapture(0)
@@ -81,7 +78,7 @@ try:
             main_layout = QVBoxLayout(central_widget)
             
             # 标题
-            title_label = QLabel("自动锁屏")
+            title_label = QLabel("工位监控系统")
             title_label.setFont(QFont('Arial', 16, QFont.Weight.Bold))
             title_label.setAlignment(Qt.AlignmentFlag.AlignCenter)
             main_layout.addWidget(title_label)
@@ -223,26 +220,27 @@ try:
                 self.handle_camera_disconnected()
                 return
             
-            frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            # 转换为灰度图进行人脸检测
-            results = self.face_detection.process(frame_rgb)
+            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+            faces = self.face_cascade.detectMultiScale(
+                gray,
+                scaleFactor=1.1,
+                minNeighbors=5,
+                minSize=(30, 30)
+            )
             
-            max_confidence = 0
             current_time = time.time()
+            max_confidence = 0
             
-            if results.detections:
+            if len(faces) > 0:
-                for detection in results.detections:
+                # 简单地使用检测到的人脸数量作为置信度的基础
-                    confidence = detection.score[0]
+                max_confidence = min(len(faces) * 0.5, 1.0)  # 限制最大值为1.0
-                    max_confidence = max(max_confidence, confidence)
                 
-                    bbox = detection.location_data.relative_bounding_box
+                for (x, y, w, h) in faces:
-                    h, w, _ = frame.shape
+                    # 绘制人脸框
-                    x = int(bbox.xmin * w)
+                    cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
-                    y = int(bbox.ymin * h)
+                    # 显示置信度
-                    width = int(bbox.width * w)
+                    cv2.putText(frame, f"置信度: {max_confidence:.2f}",
-                    height = int(bbox.height * h)
-                    
-                    cv2.rectangle(frame, (x, y), (x + width, y + height), (0, 255, 0), 2)
-                    cv2.putText(frame, f"置信度: {confidence:.2f}", 
                               (x, y-10), cv2.FONT_HERSHEY_SIMPLEX,
                               0.5, (0, 255, 0), 2)
                 
@@ -283,10 +281,11 @@ try:
                 self.set_progress_bar_style("#4CAF50")  # 重置为绿色
                 time.sleep(1)
             
-            rgb_display = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            # 显示图像
-            h, w, ch = rgb_display.shape
+            rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            h, w, ch = rgb_frame.shape
             bytes_per_line = ch * w
-            qt_image = QImage(rgb_display.data, w, h, bytes_per_line, QImage.Format.Format_RGB888)
+            qt_image = QImage(rgb_frame.data, w, h, bytes_per_line, QImage.Format.Format_RGB888)
             scaled_pixmap = QPixmap.fromImage(qt_image).scaled(
                 self.camera_label.size(), 
                 Qt.AspectRatioMode.KeepAspectRatio
@@ -331,7 +330,7 @@ try:
             
         def closeEvent(self, event):
             if self.running:
-                self.tray_icon.showMessage("工位监控", "程序已最小化系统托盘", 
+                self.tray_icon.showMessage("工位监控", "程序已最小化到系统托盘", 
                                          QSystemTrayIcon.MessageIcon.Information)
                 self.hide()
                 event.ignore()