GithubHelp home page GithubHelp logo

fitzpchao / bandon Goto Github PK

View Code? Open in Web Editor NEW
55.0 55.0 3.0 3.38 MB

The implementation of the paper "Detecting Building Changes with Off-Nadir Aerial Images"

Python 99.56% Dockerfile 0.06% Shell 0.38%

bandon's People

Contributors

fitzpchao avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

bandon's Issues

你好,我想问一下关于BT-flow的标签格式问题

你好前辈,我看您的BT-flow标签里面是.tif格式的图像,32位深度的图,我想问一下,怎么解析这个图像里面的信息呢,因为我的数据集也想制作一下这种偏移的标签数据,可以给我一些建议吗,谢谢

Has the dataset undergone orthorectified correction?

Thank you for your outstanding work. Your dataset includes images from multiple perspectives and dates within the same area. May I ask if the images in this dataset have undergone orthorectified correction? In other words, does DEM perform orthorectified correction on each image?

请问一下关于前后两张图像偏移的标签问题

您好,我使用ps软件打开了.tif格式的标签,但是里面显示的部分有些地方有一些歧义,如L81_00639_783959这张图,打开之后有三个不同的通道,里面显示了不同的内容
下面分别是三个不同通道的图像,这个是什么问题呢
image
image
image

你好,前辈,我想问一下关于真值的问题

您的数据集一共有四种真值,ST-offsets,Seg,BI-flows,Final change mask这四种,我想问一下,您如果想对比建筑物之间是否发生变化,是不是只需要Seg,BI-flows,Final change mask这三种就可以了,是不是就不需要ST-offsets也可以了,因为我们找到对应建筑物的目的已经到了不是吗?期待您的回复谢谢

关于 代码里面MTGCDNet.py里面 num_classes 问题

您好,我看的您的代码里面MTGCDNet.py里面,num_classes分别是2,3,3,10,10,10个类别。2指的是最终的变化图,3指的是分割结果图,10是ST-flow和BI-flow图,是这样吗?那么您是用的分类的方法去做的偏移嘛。我这样理解对吗
f1686c66a87964ddd21c817c5dd6ed2

How to achieve model performance that is quite as good as in the paper while debugging the code?

After delving into your recent research papers, I was deeply impressed by the remarkable contributions you have made to the field. The moment your source code became open-source, I eagerly embarked on a journey to learn from it and attempt to reproduce the exceptional model performance described in the papers. However, during the process of debugging and fine-tuning the code, I encountered significant discrepancies in the model's performance compared to the reported results. I am reaching out with a sincere and humble request for guidance and assistance. I think there might be subtle intricacies or specific procedures that I might have overlooked while trying to reproduce your work. Therefore, I was hoping you could give me some advice, tips or clarification about the code implementation or any potential issues I should be aware of, thank you very much!

Cannot run the code

Hi, I cannot run the code with the python libraries version in your instructions. Would you like to provide the environment requirements for this repo?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.