Getting started with Seam, using JBoss Tools

本文介绍如何使用JBossTools 3.1搭建Seam项目环境,并演示了创建行动、表单以及从现有数据库生成应用的过程。还介绍了Seam在JBossTools下热部署的功能。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

JBoss Tools is a collection of Eclipse plugins. JBoss Tools a project creation wizard for Seam, Content Assist for the Unified Expression Language (EL) in both facelets and Java code, a graphical editor for jPDL, a graphical editor for Seam configuration files, support for running Seam integration tests from within Eclipse, and much more.

In short, if you are an Eclipse user, then you'll want JBoss Tools!

JBoss Tools, as with seam-gen, works best with JBoss AS, but it's possible with a few tweaks to get your app running on other application servers. The changes are much like those described for seam-gen later in this reference manual.

Start up Eclipse and select the Seam perspective.

Go to File -> New -> Seam Web Project.

First, enter a name for your new project. For this tutorial, we're going to use helloworld .

Now, we need to tell JBoss Tools about JBoss AS. This is a two stage process, first we need to define a runtime, make sure you select JBoss AS 4.2:

Enter a name for the runtime, and locate it on your hard drive:

Next, we need to define a server JBoss Tools can deploy the project to. Make sure to again select JBoss AS 4.2, and also the runtime you just defined:

On the next screen give the server a name, and hit Finish:

Make sure the runtime and server you just created are selected, select Dynamic Web Project with Seam 2.0 (technology preview) and hit Next:

The next 3 screens allow you to further customize your new project, but for us the defaults are fine. So just hit <empahsis>Next</empahsis> until you reach the final screen.

The first step here is to tell JBoss Tools about the Seam download you want to use. Add a new Seam Runtime - make sure to give it a name, and select 2.0 as the version:

The most important choice you need to make is between EAR deployment and WAR deployment of your project. EAR projects support EJB 3.0 and require Java EE 5. WAR projects do not support EJB 3.0, but may be deployed to a J2EE environment. The packaging of a WAR is also simpler to understand. If you installed an EJB3-ready application server like JBoss, choose EAR. Otherwise, choose WAR. We'll assume that you've chosen a WAR deployment for the rest of the tutorial, but you can follow exactly the same steps for a EAR deployment.

Next, select your database type. We'll assume you have MySQL installed, with an existing schema. You'll need to tell JBoss Tools about the database, select MySQL as the database, and create a new connection profile. Select Generic JDBC Connection:

Give it a name:

JBoss Tools doesn't come with drivers for any databases, so you need to tell JBoss Tools where the MySQL JDBC driver is. Tell it about the driver by clicking ....

Locate MySQL 5, and hit Add...:

Choose the MySQL JDBC Driver template:

Locate the jar on your computer by choosing Edit Jar/Zip:

Review the username and password used to connect, and if correct, hit Ok.

Finally, choose the newly created driver:

If you are working with an existing data model, make sure you tell JBoss Tools that the tables already exist in the database.

Review the username and password used to connect, test the connection using the Test Connection button, and if it works, hit Finish:

Finally, review the package names for your generated beans, and if you are happy, click Finish:

JBoss has sophisticated support for hot re-deployment of WARs and EARs. Unfortunately, due to bugs in the JVM, repeated redeployment of an EAR—which is common during development—eventually causes the JVM to run out of perm gen space. For this reason, we recommend running JBoss in a JVM with a large perm gen space at development time. We suggest the following values:

         -Xms512m -Xmx1024m -XX:PermSize=256m -XX:MaxPermSize=512

If you don't have so much memory available, the following is our minimum recommendation:

         -Xms256m -Xmx512m -XX:PermSize=128m -XX:MaxPermSize=256

Locate the server in the JBoss Server View, right click on the server and select Edit Launch Configuration:

Then, alter the VM arguements:

If you don't want to bother with this stuff now, you don't have to—come back to it later, when you get your first OutOfMemoryException.

To start JBoss, and deploy the project, just right click on the server you created, and click Start, (or Debug to start in debug mode):

Don't get scared by the XML configuration documents that were generated into the project directory. They are mostly standard Java EE stuff, the stuff you need to create once and then never look at again, and they are 90% the same between all Seam projects.

在当今计算机视觉领域,深度学习模型在图像分割任务中发挥着关键作用,其中 UNet 是一种在医学影像分析、遥感图像处理等领域广泛应用的经典架构。然而,面对复杂结构和多尺度特征的图像,UNet 的性能存在局限性。因此,Nested UNet(也称 UNet++)应运而生,它通过改进 UNet 的结构,增强了特征融合能力,提升了复杂图像的分割效果。 UNet 是 Ronneberger 等人在 2015 年提出的一种卷积神经网络,主要用于生物医学图像分割。它采用对称的编码器 - 解码器结构,编码器负责提取图像特征,解码器则将特征映射回原始空间,生成像素级预测结果。其跳跃连接设计能够有效传递低层次的细节信息,从而提高分割精度。 尽管 UNet 在许多场景中表现出色,但在处理复杂结构和多尺度特征的图像时,性能会有所下降。Nested UNet 通过引入更深层次的特征融合来解决这一问题。它在不同尺度上建立了密集的连接路径,增强了特征的传递与融合。这种“嵌套”结构不仅保持了较高分辨率,还增加了特征学习的深度,使模型能够更好地捕获不同层次的特征,从而显著提升了复杂结构的分割效果。 模型结构:在 PyTorch 中,可以使用 nn.Module 构建 Nested UNet 的网络结构。编码器部分包含多个卷积层和池化层,并通过跳跃连接传递信息;解码器部分则包含上采样层和卷积层,并与编码器的跳跃连接融合。每个阶段的连接路径需要精心设计,以确保不同尺度信息的有效融合。 编码器 - 解码器连接:Nested UNet 的核心在于多层次的连接。通过在解码器中引入“skip connection blocks”,将编码器的输出与解码器的输入相结合,形成一个密集的连接网络,从而实现特征的深度融合。 训练与优化:训练 Nested UNet 时,需要选择合适的损失函数和优化器。对于图像分割任务,常用的损失
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值