基于YOLOv4的水下海参检测与计数算法.docxVIP

基于YOLOv4的水下海参检测与计数算法

目录

1.内容描述................................................2

1.1研究背景与意义.......................................2

1.2国内外研究现状.......................................4

1.3本文研究内容与目标...................................5

2.系统整体设计............................................6

2.1系统架构.............................................7

2.2数据预处理...........................................9

2.2.1数据集采集与标注................................10

2.2.2数据增强........................................11

2.3模型选择与优化......................................12

2.3.1YOLOv4模型介绍..................................13

2.3.2模型调整与优化..................................14

3.水下海参检测算法.......................................16

3.1算法原理............................................17

3.2特征提取............................................18

3.3检测与定位..........................................20

3.3.1目标检测算法....................................21

3.3.2目标跟踪算法....................................21

3.4结果评估与优化......................................23

4.水下海参计数算法.......................................24

4.1数目估计方法........................................25

4.2计数算法实现........................................26

4.2.1基于区域的计数方法..............................28

4.2.2基于深度学习的计数方法..........................29

4.3实时性分析与优化....................................30

5.实验与结果分析.........................................31

5.1实验设置............................................32

5.2检测效果展示........................................34

5.3实验结果分析........................................35

5.3.1模型性能评估....................................36

5.3.2方法比较与改进..................................37

6.结论与展望.............................................38

6.1本文工作总结........................................39

6.2存在问题与不足......................................41

6.3未来研究方向与展望..................................42

1.内容描述

本章节将详细介绍一种基于先进目标检测模型4的水下海参检测与计数算法。首先简要介绍4模型的基本原理及其在计算机视觉