智慧巡检-基于Yolo26的目标检测系统 带登录界面的基于Yolo26的目标检测系统完整源码+原始ui文件+环境配置教程 相关技术文档包含：2万字算法文档+详细操作指南+技术设计文档+流程图+yolo

智慧巡检-基于Yolo26的目标检测系统带登录界面的基于Yolo26的目标检测系统完整源码原始ui文件环境配置教程相关技术文档包含2万字算法文档详细操作指南技术设计文档流程图yolo26网络结构图各文件作用说明可视化界面基于pyside6数据库为sqlite3支持YOLOv8 YOLOv9 YOLOv10 YOLOv11 YOLOv12 YOLOv13 YOLOv26版本提供可视化界面可对图片视频摄像头进行识别。提供登录、注册功能支持权限校验我给你提供一套完整、可运行的基于YOLO这里用最新的YOLO11和你图里的YOLO26是同系列目标检测系统Python代码包含登录/注册界面主检测界面图片/视频/摄像头检测模型加载与检测逻辑完整的项目结构说明一、项目结构yolo_detection_system/ ├── main.py # 程序入口 ├── db/ # 存储用户信息 │ └── users.db ├── save_data/ # 检测结果保存目录 ├── test_data/ # 测试图片/视频 ├── ui_images/ # 界面背景/图标 ├── utils/ # 工具函数 │ └── database.py # 数据库操作 ├── weights/ # 模型权重文件yolo11n.pt └── requirements.txt # 依赖包二、完整代码实现1.requirements.txtultralytics8.3.0 PySide66.7.0 opencv-python4.9.0.80 numpy1.26.4 pillow10.2.02.utils/database.py用户数据库importsqlite3importhashlibimportos DB_PATHdb/users.dbdefinit_db():os.makedirs(db,exist_okTrue)connsqlite3.connect(DB_PATH)cursorconn.cursor()cursor.execute( CREATE TABLE IF NOT EXISTS users ( id INTEGER PRIMARY KEY AUTOINCREMENT, username TEXT UNIQUE NOT NULL, password TEXT NOT NULL ) )conn.commit()conn.close()defhash_password(password):returnhashlib.sha256(password.encode()).hexdigest()defregister_user(username,password):try:connsqlite3.connect(DB_PATH)cursorconn.cursor()hashed_pwdhash_password(password)cursor.execute(INSERT INTO users (username, password) VALUES (?, ?),(username,hashed_pwd))conn.commit()conn.close()returnTrue,注册成功exceptsqlite3.IntegrityError:returnFalse,用户名已存在deflogin_user(username,password):connsqlite3.connect(DB_PATH)cursorconn.cursor()hashed_pwdhash_password(password)cursor.execute(SELECT * FROM users WHERE username? AND password?,(username,hashed_pwd))usercursor.fetchone()conn.close()ifuser:returnTrue,登录成功else:returnFalse,用户名或密码错误3.main.py主程序importsysimportcv2importosfromPySide6.QtWidgetsimport(QApplication,QMainWindow,QWidget,QVBoxLayout,QHBoxLayout,QLabel,QLineEdit,QPushButton,QFileDialog,QDoubleSpinBox,QSpinBox,QGroupBox,QFormLayout,QMessageBox,QTextEdit)fromPySide6.QtGuiimportQPixmap,QImagefromPySide6.QtCoreimportQt,QThread,Signal,QTimerfromultralyticsimportYOLOfromutils.databaseimportinit_db,register_user,login_user# 初始化数据库init_db()classLoginWindow(QMainWindow):def__init__(self):super().__init__()self.setWindowTitle(基于YOLO的目标检测系统-登录)self.setFixedSize(600,400)self.init_ui()definit_ui(self):central_widgetQWidget()self.setCentralWidget(central_widget)layoutQVBoxLayout(central_widget)layout.setAlignment(Qt.AlignCenter)# 标题titleQLabel(基于YOLO的目标检测系统)title.setStyleSheet(font-size: 24px; color: white;)title.setAlignment(Qt.AlignCenter)layout.addWidget(title)# 用户名输入self.username_editQLineEdit()self.username_edit.setPlaceholderText(请输入用户名)layout.addWidget(QLabel(用户名:))layout.addWidget(self.username_edit)# 密码输入self.password_editQLineEdit()self.password_edit.setPlaceholderText(请输入密码)self.password_edit.setEchoMode(QLineEdit.Password)layout.addWidget(QLabel(密码:))layout.addWidget(self.password_edit)# 按钮布局btn_layoutQHBoxLayout()self.login_btnQPushButton(登录)self.login_btn.clicked.connect(self.login)self.register_btnQPushButton(注册)self.register_btn.clicked.connect(self.register)btn_layout.addWidget(self.login_btn)btn_layout.addWidget(self.register_btn)layout.addLayout(btn_layout)# 背景样式self.setStyleSheet( QMainWindow { background-image: url(ui_images/background.jpg); background-color: #0a0a1a; } QLabel, QLineEdit { color: white; font-size: 14px; } QPushButton { background-color: #555; color: white; padding: 8px; } QPushButton:hover { background-color: #777; } )deflogin(self):usernameself.username_edit.text().strip()passwordself.password_edit.text().strip()ifnotusernameornotpassword:QMessageBox.warning(self,提示,请输入用户名和密码)returnsuccess,msglogin_user(username,password)ifsuccess:self.main_winMainWindow()self.main_win.show()self.close()else:QMessageBox.warning(self,错误,msg)defregister(self):usernameself.username_edit.text().strip()passwordself.password_edit.text().strip()ifnotusernameornotpassword:QMessageBox.warning(self,提示,请输入用户名和密码)returnsuccess,msgregister_user(username,password)ifsuccess:QMessageBox.information(self,成功,msg)else:QMessageBox.warning(self,错误,msg)classDetectionThread(QThread):frame_readySignal(QImage)result_readySignal(str)def__init__(self,model,source_type,source_pathNone,conf0.25,iou0.4):super().__init__()self.modelmodel self.source_typesource_type# image/video/cameraself.source_pathsource_path self.confconf self.iouiou self.runningTruedefrun(self):ifself.source_typecamera:capcv2.VideoCapture(0)elifself.source_typevideo:capcv2.VideoCapture(self.source_path)elifself.source_typeimage:framecv2.imread(self.source_path)self.detect_frame(frame)returnwhileself.runningandcap.isOpened():ret,framecap.read()ifnotret:breakself.detect_frame(frame)cap.release()defdetect_frame(self,frame):resultsself.model.predict(frame,confself.conf,iouself.iou,verboseFalse)annotated_frameresults[0].plot()rgb_framecv2.cvtColor(annotated_frame,cv2.COLOR_BGR2RGB)h,w,chrgb_frame.shape bytes_per_linech*w q_imgQImage(rgb_frame.data,w,h,bytes_per_line,QImage.Format_RGB888)self.frame_ready.emit(q_img)# 统计目标数量countlen(results[0].boxes)self.result_ready.emit(f目标数量:{count})defstop(self):self.runningFalseclassMainWindow(QMainWindow):def__init__(self):super().__init__()self.setWindowTitle(基于YOLO的目标检测系统)self.setFixedSize(1200,800)self.modelNoneself.detect_threadNoneself.init_ui()self.load_model()definit_ui(self):central_widgetQWidget()self.setCentralWidget(central_widget)main_layoutQHBoxLayout(central_widget)# 左侧显示区域left_widgetQWidget()left_layoutQVBoxLayout(left_widget)self.image_labelQLabel(请选择图片/视频或打开摄像头)self.image_label.setAlignment(Qt.AlignCenter)self.image_label.setStyleSheet(background-color: #222;)left_layout.addWidget(self.image_label)main_layout.addWidget(left_widget,stretch3)# 右侧控制区域right_widgetQWidget()right_layoutQVBoxLayout(right_widget)# 模型控制组model_groupQGroupBox(模型控制)model_layoutQFormLayout(model_group)self.conf_spinQDoubleSpinBox()self.conf_spin.setRange(0.01,1.0)self.conf_spin.setValue(0.25)self.iou_spinQDoubleSpinBox()self.iou_spin.setRange(0.01,1.0)self.iou_spin.setValue(0.4)model_layout.addRow(Confidence:,self.conf_spin)model_layout.addRow(IOU:,self.iou_spin)right_layout.addWidget(model_group)# 图片检测组image_groupQGroupBox(图片检测)image_layoutQVBoxLayout(image_group)self.select_img_btnQPushButton(选择图片)self.select_img_btn.clicked.connect(self.select_image)self.detect_img_btnQPushButton(开始检测)self.detect_img_btn.clicked.connect(self.detect_image)image_layout.addWidget(self.select_img_btn)image_layout.addWidget(self.detect_img_btn)right_layout.addWidget(image_group)# 视频检测组video_groupQGroupBox(视频检测)video_layoutQVBoxLayout(video_group)self.select_video_btnQPushButton(选择视频)self.select_video_btn.clicked.connect(self.select_video)self.detect_video_btnQPushButton(开始检测)self.detect_video_btn.clicked.connect(self.detect_video)video_layout.addWidget(self.select_video_btn)video_layout.addWidget(self.detect_video_btn)right_layout.addWidget(video_group)# 摄像头检测组camera_groupQGroupBox(摄像头检测)camera_layoutQVBoxLayout(camera_group)self.open_cam_btnQPushButton(打开摄像头)self.open_cam_btn.clicked.connect(self.open_camera)self.stop_cam_btnQPushButton(停止检测)self.stop_cam_btn.clicked.connect(self.stop_detection)camera_layout.addWidget(self.open_cam_btn)camera_layout.addWidget(self.stop_cam_btn)right_layout.addWidget(camera_group)# 结果显示self.result_textQTextEdit()self.result_text.setReadOnly(True)right_layout.addWidget(QLabel(检测结果:))right_layout.addWidget(self.result_text)main_layout.addWidget(right_widget,stretch1)defload_model(self):try:self.modelYOLO(weights/yolo11n.pt)self.result_text.append(模型加载成功)exceptExceptionase:self.result_text.append(f模型加载失败:{str(e)})defselect_image(self):path,_QFileDialog.getOpenFileName(self,选择图片,,Images (*.png *.jpg *.jpeg))ifpath:self.current_image_pathpath pixmapQPixmap(path).scaled(self.image_label.size(),Qt.KeepAspectRatio)self.image_label.setPixmap(pixmap)defdetect_image(self):ifnothasattr(self,current_image_path)ornotself.model:QMessageBox.warning(self,提示,请先选择图片并确保模型已加载)returnself.detect_threadDetectionThread(self.model,image,self.current_image_path,confself.conf_spin.value(),iouself.iou_spin.value())self.detect_thread.frame_ready.connect(self.update_image)self.detect_thread.result_ready.connect(lambdas:self.result_text.append(s))self.detect_thread.start()defselect_video(self):path,_QFileDialog.getOpenFileName(self,选择视频,,Videos (*.mp4 *.avi))ifpath:self.current_video_pathpathdefdetect_video(self):ifnothasattr(self,current_video_path)ornotself.model:QMessageBox.warning(self,提示,请先选择视频并确保模型已加载)returnself.stop_detection()self.detect_threadDetectionThread(self.model,video,self.current_video_path,confself.conf_spin.value(),iouself.iou_spin.value())self.detect_thread.frame_ready.connect(self.update_image)self.detect_thread.result_ready.connect(lambdas:self.result_text.append(s))self.detect_thread.start()defopen_camera(self):ifnotself.model:QMessageBox.warning(self,提示,模型未加载)returnself.stop_detection()self.detect_threadDetectionThread(self.model,camera,confself.conf_spin.value(),iouself.iou_spin.value())self.detect_thread.frame_ready.connect(self.update_image)self.detect_thread.result_ready.connect(lambdas:self.result_text.append(s))self.detect_thread.start()defstop_detection(self):ifself.detect_thread:self.detect_thread.stop()self.detect_thread.wait()self.detect_threadNonedefupdate_image(self,q_img):pixmapQPixmap.fromImage(q_img).scaled(self.image_label.size(),Qt.KeepAspectRatio)self.image_label.setPixmap(pixmap)defcloseEvent(self,event):self.stop_detection()event.accept()if__name____main__:appQApplication(sys.argv)login_winLoginWindow()login_win.show()sys.exit(app.exec())三、运行步骤安装依赖pipinstall-rrequirements.txt下载模型权重到 Ultralytics 官网下载yolo11n.pt权重文件放到weights/目录下。准备资源在ui_images/目录下放一张背景图background.jpg可选不影响运行save_data/和test_data/目录可根据需要放入测试文件运行程序python main.py四、功能说明登录/注册使用SQLite数据库存储用户信息密码经过SHA256加密。图片检测支持选择本地图片设置置信度和IOU阈值后检测。视频检测支持本地视频文件的实时检测。摄像头检测调用电脑摄像头进行实时目标检测。结果显示界面右侧会显示检测过程和目标数量。