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The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

License: MIT License

Python 74.81% Shell 0.05% C++ 2.95% Cuda 22.19%
change-detection classification deep-learning foundation-models object-detection pre-training remote-sensing semantic-segmentation transfer-learning

mtp's Issues

运用

你好,我想请问一下我可以直接用你们已发布的模型,来估计自己数据集图像中目标数量吗,怎样做更加方便呢?谢谢!

测试

请问应该如何用你训练好的模型做测试呢,没有找到tool/test.py,在windows系统下可以跑吗

Installing the repo and using MMSeg

Dear authors, thank you for your work and for open-sourcing it. I have a question about using this code.

I am not familiar with MMSeg, so this is probably a stupid question. I have installed it using pip but this does not install the tools folder that is needed to run the commands in the README. Should I have instead used the MMSeg repository instead of the pip package ? If yes, how do I use your repo with respect to the MMSeg repo ? It seems that MMSeg does not work like the libraries I am used to, so I am a bit confused.

Thank you in advance and good luck with your future works.

How to inference on custom dataset?

Hello, thanks for your amazing job.
I want to use Semantic Segmentation model finetuned on LoveDA, but it seems that there is no script for inference on custom dataset provided here.
How should I do it?

Multichannel images

Hello,

It seems that the examples focus on 3 channel images.

Is semantic segmentation expected to work on multichannel images, and is there an example on that?

I know that mmsegmentation has LoadSingleRSImageFromFile, but I wonder if there would be any specific limitation associated with MTP? How to handle pre-trained weights?

Thanks!

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