使用commons-email发邮件

使用OpenCV进行3D重建:详细指南 3D重建是计算机视觉领域的一项关键技术,它能够从二维图像中恢复出场景的三维结构。这项技术在机器人视觉、增强现实和3D建模等多个领域都有广泛的应用。在本篇技术博客中,我们将详细介绍如何使用OpenCV这一流行的计算机视觉库来实现3D重建。我们将逐步探讨整个过程,包括相机标定、特征点提取与匹配、立体校正、深度图计算以及最终的三维重建。3D重建是一个复杂的过程,涉及多个步骤和多种算法。OpenCV提供了强大的工具来支持这一过程,从相机标定到特征点提取与匹配,再到立体校正和深度图计算,最后实现三维重建。 阅读详情
使用commons-email发邮件
commons-email是apache提供的一个开源的API,是对javamail的封装,因此在使用时要将javamail.jar加到class path中,主要包括SimpleEmail,MultiPartEmail,HtmlEmail,EmailAttachment四个类。
 
SimpleEmail:发送简单的email,不能添加附件
MultiPartEmail:文本邮件,可以添加多个附件
HtmlEmail:HTML格式邮件,同时具有MultiPartEmail类所有“功能”
EmailAttchment:附件类,可以添加本地资源,也可以指定网络上资源,在发送时自动将网络上资源下载发送。
 
发送基本文本格式邮件:
==============
SimpleEmail email = new SimpleEmail();
//smtp host
email.setHostName("mail.test.com");
//登陆邮件服务器的用户名和密码
email.setAuthentication("test","testpassword");
//接收人
email.addTo("jdoe@somewhere.org", "John Doe");
//发送人
email.setFrom("me@apache.org", "Me");
//标题
email.setSubject("Test message");
//邮件内容
email.setMsg("This is a simple test of commons-email");
//发送
email.send();
发送文本格式,带附件邮件:
==================
//附件,可以定义多个附件对象
EmailAttachment attachment = new EmailAttachment();
attachment.setPath("e://1.pdf");
attachment.setDisposition(EmailAttachment.ATTACHMENT);
attachment.setDescription("Picture of John");
//
MultiPartEmail email = new MultiPartEmail();
//smtp host
email.setHostName("mail.test.com");
//登陆邮件服务器的用户名和密码
email.setAuthentication("test","testpassword");
//接收人
email.addTo("jdoe@somewhere.org", "John Doe");
//发送人
email.setFrom("me@apache.org", "Me");
//标题
email.setSubject("Test message");
//邮件内容
email.setMsg("This is a simple test of commons-email");
//添加附件
email.attach(attachment);
//发送
email.send();
 
发送HTML格式带附件邮件:
=================
//附件,可以定义多个附件对象
EmailAttachment attachment = new EmailAttachment();
attachment.setPath("e://1.pdf");
attachment.setDisposition(EmailAttachment.ATTACHMENT);
attachment.setDescription("Picture of John");
//
HtmlEmail email = new HtmlEmail ();
//smtp host
email.setHostName("mail.test.com");
//登陆邮件服务器的用户名和密码
email.setAuthentication("test","testpassword");
//接收人
email.addTo("jdoe@somewhere.org", "John Doe");
//发送人
email.setFrom("me@apache.org", "Me");
//标题
email.setSubject("Test message");
//邮件内容
email.setHtmlMsg("<b>This is a simple test of commons-email</b>");
//添加附件
email.attach(attachment);
//发送
email.send();
YOLOv11涨点改进 | 全网独家创新,损失函数改进篇 | TGRS 2025 | 引入AdaFocalLoss损失函数,改进小目标检测,自适应聚焦小目标与样本分布不平衡,提升检测精度与训练稳定性 本文提出了一种改进YOLOv11模型的AdaFocalLoss损失函数,通过动态调节机制有效提升小目标检测性能。AdaFocalLoss融合了目标尺寸感知和IoU引导的自适应调节,解决了传统损失函数在小目标检测中的样本不平衡问题。该方法自动调整训练权重,无需手动调参,显著提升了模型在多尺度目标、复杂背景下的检测精度和训练稳定性。实验表明,AdaFocalLoss能更好地平衡不同尺度目标的梯度分布,改善边界完整性,减少误检漏检。文章详细介绍了算法原理、实现代码和在YOLOv11中的集成方法,为提升目标检测性能 阅读详情

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