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View Code? Open in Web Editor NEW[MDPI Remote Sensing] AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Home Page: https://www.mdpi.com/2072-4292/16/16/2930
[MDPI Remote Sensing] AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Home Page: https://www.mdpi.com/2072-4292/16/16/2930
Hi. I followed the installation steps and I'm ready to do inference. My aim is not to train a model but to use an existing model on my image(s).
python tools/test.py work_dirs/aerialformer_tiny_512x512_loveda/2023_0101_0000/aerialformer_tiny_512x512_loveda.py work_dirs/aerialformer_tiny_512x512_loveda/2023_0101_0000/latest.pth --eval mIoU
This is in the Readme file but I don't get it. We did not download any weight file yet we're giving it in the parameter. The paths also confuse me. Can you clarify how to do inference please?
Hi!
In your preprocessing code, you create a “val” folder, but as I understand it, it corresponds to the usual “test” subset used for benchmark (2_13, 2_14, 3_13, …).
Then with what data do you evaluate your model during training ? Do you split your “train” subset into validation and train data?
Thanks for the work !
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