基于K 邻近朴素贝叶斯LinearSVM机器视觉的害虫种类及数量检测 毕业设计 完整代码

上传者: 55771290 | 上传时间: 2023-02-20 22:06:45 | 文件大小: 14.61MB | 文件类型: ZIP
项目介绍: 要求: 数目检测和昆虫种类识别 项目进度 2017/4/8---------二值化 2017/4/9---------图片中昆虫虫体计数 2017/4/22-------PyQt 和 OpenCV_VideoFrame 结合做出基本界面 摄像头 Frame 中检测虫体数目,并在界面中显示标出 学习昆虫图像特征的提取,参考论文中提出的几个特征量 提取特征量并进行保存 按照神经网络方法搭建训练模型 搭建了线性 SVM 分类训练器 将特征提取和 UI 界面建立连接,实现拍照和预测判断一体 机器学习训练算法(参考 Python 机器学习) LogisticRegression SGDClassfier 还没有尝试 LinearSVM 朴素贝叶斯(文本分类,不用) K 邻近(分类) 决策树,不用 集成模型,不用 文件介绍 用户界面 MainWindow.ui-----------------------PyQtDesigner 设计的主界面文件 MainWindow.py----------------------PyUIC 转换而成的主界面程序 运行逻辑 VideoMainWin

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