基于改进YOLOv7的火灾火焰检测模型.docx

基于改进YOLOv7的火灾火焰检测模型

目录

一、摘要....................................................2

1.1背景介绍.............................................2

1.2目标与意义...........................................3

二、相关工作................................................4

2.1国内外研究现状.......................................6

2.2YOLO系列算法概述.....................................8

2.3火灾火焰检测技术综述.................................9

三、系统设计...............................................10

3.1需求分析............................................11

3.2系统架构............................................13

3.2.1模型选择........................................14

3.2.2数据处理流程....................................15

3.2.3训练策略........................................16

3.3关键技术点..........................................18

3.3.1改进的YOLOv7网络结构............................19

3.3.2特征融合方法....................................20

3.3.3损失函数优化....................................21

四、数据集构建.............................................22

4.1数据来源............................................24

4.2数据预处理..........................................24

4.2.1图像增强........................................25

4.2.2标注方式........................................27

4.3数据集划分..........................................27

五、实验与分析.............................................28

5.1实验环境配置........................................30

5.2参数设置............................................31

5.3实验结果............................................32

5.3.1模型性能评估指标................................33

5.3.2对比实验........................................34

5.4结果讨论............................................35

六、应用案例...............................................36

6.1实际场景测试........................................37

6.2用户反馈............................................38

七、结论与展望.............................................39

7.1研究总结............................................40

7.2未来工作方向..........