基于yolov8的火灾检测系统，包含训练好的权重和推理代码，GUI界面，支持图片、视频、摄像头输入，支持检测结果导出

import sys from PyQt5.QtWidgets import (QWidget, QPushButton, QHBoxLayout, QVBoxLayout, QApplication, QLabel, QFileDialog, QMessageBox, QRadioButton, QFrame) from PyQt5.QtGui import QPixmap, QImage from PyQt5.QtCore import QTimer, Qt import cv2 import os from model import PredictModel class MainGUI(QWidget): def __init__(self): super().__init__() self.windows_title = "目标检测GUI" self.camera_stat = False # 摄像头默认关闭 self.cap = None # 视频或者摄像头 self.export_cap = None # 导出的视频 self.fname = None # 图片或者视频路径 self.init_ui() self.init_timer() self.predictor = PredictModel() def init_ui(self): h_layout = QHBoxLayout() # 第一列布局，显示窗口 选择图片/视频按钮 打开摄像头按钮 v1_layout = QVBoxLayout() v1_h1_layout = QHBoxLayout() self.display_label = QLabel() self.display_label.setMinimumHeight(300) self.display_label.setMinimumWidth(400) self.display_label.setStyleSheet("border: 1px dashed") v1_h1_layout.addWidget(self.display_label) v1_layout.addLayout(v1_h1_layout) v1_h2_layout = QHBoxLayout() v1_h2_layout.addStretch(1) self.image_btn = QPushButton("选择图片/视频") self.image_btn.clicked.connect(self.select_file) v1_h2_layout.addWidget(self.image_btn) v1_h2_layout.addStretch(1) self.camera_btn = QPushButton("打开/关闭摄像头") self.camera_btn.clicked.connect(self.open_camera) v1_h2_layout.addWidget(self.camera_btn) v1_h2_layout.addStretch(1) v1_layout.addLayout(v1_h2_layout) v1_frame = QFrame() # v1_frame.setStyleSheet("border: 1px dashed; border-color: (100, 100, 100);") v1_frame.setFrameStyle(QFrame.Panel|QFrame.Sunken) v1_frame.setLayout(v1_layout) # 第二列 显示检测结果 v2_layout = QVBoxLayout() dis_frame = QFrame() dis_frame.setFrameStyle(QFrame.Panel|QFrame.Sunken) dis_frame.setFixedHeight(50) dis_layout = QHBoxLayout() self.display_detected_img_btn = QRadioButton("显示检测结果") self.display_detected_img_btn.setStyleSheet("border: 1px dashed") self.display_detected_img_btn.setChecked(True) dis_layout.addWidget(self.display_detected_img_btn) dis_frame.setLayout(dis_layout) v2_layout.addWidget(dis_frame) export_frame = QFrame() export_frame.setFixedHeight(120) export_frame.setFrameStyle(QFrame.Panel|QFrame.Sunken) export_layout = QVBoxLayout() self.export_btn = QRadioButton("导出检测结果") self.export_btn.setStyleSheet("border: 1px dashed") self.export_btn.setChecked(True) export_layout.addWidget(self.export_btn) self.export_path_btn = QPushButton("选择导出路径") self.export_path_btn.setChecked(True) self.export_path_btn.clicked.connect(self.select_export_path) export_layout.addWidget(self.export_path_btn) default_export_path = os.path.join(os.getcwd(), 'outputs') os.makedirs(default_export_path, exist_ok=True) self.export_label = QLabel(default_export_path) self.export_label.setFixedHeight(20) self.export_label.setStyleSheet("border: 1px dashed; border-color: (100, 100, 100);") export_layout.addWidget(self.export_label) export_frame.setLayout(export_layout) v2_layout.addWidget(export_frame) self.info_label = QLabel() self.info_label.setStyleSheet("border: 1px dashed") v2_layout.addWidget(self.info_label) v2_frame = QFrame() # v2_frame.setStyleSheet("border: 1px dashed; border-color: (100, 100, 100);") v2_frame.setFrameStyle(QFrame.Panel|QFrame.Sunken) v2_frame.setLayout(v2_layout) h_layout.addWidget(v1_frame) h_layout.addWidget(v2_frame) self.setLayout(h_layout) self.setWindowTitle(self.windows_title) # self.setGeometry(300, 300, 500, 500) self.show() def select_export_path(self): directory = QFileDialog.getExistingDirectory(None, "选择导出文件路径", "./") self.export_label.setText(directory) return directory def select_file(self): # 仅允许选择一个文件 self.fname, _ =QFileDialog.getOpenFileName(self,'打开文件', "./", "Files(*.jpg *.bmp *.png *.jpeg *.mp4 *.avi)") if self.fname == '': return if self.fname.endswith(('png', 'bmp', 'jpg', 'jpeg')): self.show_single_frame(self.fname) self.fname = None # 清空路径 else: self.cap = cv2.VideoCapture(self.fname) if not self.cap.isOpened(): QMessageBox.information(self, "警告", "视频异常！", QMessageBox.Ok) self.cap = None return self.display_label.setEnabled(True) self.timer.start() # 清空路径放在定时器 print("beginning！") # def open_camera(self): if self.camera_stat: self.camera_stat = not self.camera_stat self.close_camera() return self.cap = cv2.VideoCapture(0) if not self.cap.isOpened(): QMessageBox.information(self, "警告", "摄像头开启失败！", QMessageBox.Ok) self.cap = None else: self.camera_stat = True # 幕布可以播放 self.display_label.setEnabled(True) self.timer.start() print("beginning！") def close_camera(self): self.cap.release() self.cap = None self.timer.stop() if self.export_cap != None: # 清空导出视频 self.export_cap.release() self.export_cap = None self.fname = None # 播放视频画面 def init_timer(self): self.timer = QTimer(self) self.timer.timeout.connect(self.show_pic) # 显示视频图像 def show_pic(self): ret, img = self.cap.read() if ret: self.show_single_frame(img) def show_single_frame(self, img): image_path = None if isinstance(img, str): image_path = img img = cv2.imread(img) ##################################################det##################################################### result, det_img, names, cls_info = self.predictor(img) txt = '' print(names, cls_info) for k in names.keys(): name = names[k] if k in cls_info.keys(): count = cls_info[k] txt += name + ': ' + str(count) + '\n' else: txt += name + ': ' + '0' + '\n' self.info_label.setText(txt) if self.display_detected_img_btn.isChecked(): img = det_img if self.export_btn.isChecked(): if image_path is not None: # 检测的是图片 image_name = os.path.basename(image_path) out_path = os.path.join(self.export_label.text(), image_name) cv2.imwrite(out_path, det_img) else: # 检测的是摄像头或者视频 if self.export_cap is None: fourcc = cv2.VideoWriter_fourcc(*'XVID') if self.fname is not None: video_name = os.path.basename(self.fname) if 'mp4' in video_name: video_name = video_name.replace('mp4', 'avi') print(video_name)