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License: MIT License
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
License: MIT License
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!
Quite leading work, the release of the training code is anticipated.
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
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.
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?
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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