Prison break

1. You and me, it's real.

 

2. Just have a little faith.

 

3. I kneel only to god, don't see him here.

 

4. Take my hand so we can put these all behind us.

    Does not a warm hand feel better than a cold shark?

 

5. You look like hell.

    I'm man from hell, puppy, now, I just gotta go to Vegas.

 

6. What do you want from future?

    Would you run if I said you?

    Would you chase me if I did?

 

7. Michael, you are where you are because of your brother?

    You are telling me he is where he is because of me?

 

8. You think you are the only one who feels betraied? I loved you Susan, real love, for the first time in my life, and then what you do to me like that just throw me back inot the dark and toss me out of the back door. I have sins in the pass, but when I meet you, the person, the one who did all the terrible things, he died, and I was reborn. By the grace of your love, I was a new man, a better man. When you sent me here to this place with these people, you bring that dirty bastard right home.

 

9. Why do you want to see him so hard anyway?

    Because he is my brother.

 

10. How about getting us to somewhere cooler, say, Africa?

      Hey, this man was still white this morning.

 

内容概要:本文介绍了ENVI Deep Learning V1.0的操作教程,重点讲解了如何利用ENVI软件进行深度学习模型的训练与应用,以实现遥感图像中特定目标(如集装箱)的自动提取。教程涵盖了从数据准备、标签图像创建、模型初始化与训练,到执行分类及结果优化的完整流程,并介绍了精度评价与通过ENVI Modeler实现一键化建模的方法。系统基于TensorFlow框架,采用ENVINet5(U-Net变体)架构,支持通过点、线、面ROI或分类图生成标签数据,适用于多/高光谱影像的单一类别特征提取。; 适合人群:具备遥感图像处理基础,熟悉ENVI软件操作,从事地理信息、测绘、环境监测等相关领域的技术人员或研究人员,尤其是希望将深度学习技术应用于遥感目标识别的初学者与实践者。; 使用场景及目标:①在遥感影像中自动识别和提取特定地物目标(如车辆、建筑、道路、集装箱等);②掌握ENVI环境下深度学习模型的训练流程与关键参数设置(如Patch Size、Epochs、Class Weight等);③通过模型调优与结果反馈提升分类精度,实现高效自动化信息提取。; 阅读建议:建议结合实际遥感项目边学边练,重点关注标签数据制作、模型参数配置与结果后处理环节,充分利用ENVI Modeler进行自动化建模与参数优化,同时注意软硬件环境(特别是NVIDIA GPU)的配置要求以保障训练效率。
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