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image on the left is real data, calibrated from [GGSM.fits](https://github.com/GLEAM-X/GLEAM-X-pipeline/blob/master/models/GGSM_updated.fits)
image on the right is model visibilities made with
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### What's the feature?
您好,我能顺利的使用multi-scale training的流程,但在测试阶段
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=[(1024, 1024)…
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Following [this Twitter conversation](https://twitter.com/ClausWilke/status/1184936326786961420), here is a reproducible example showing how to use `multiscales` to convey uncertainties in [digital or…
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Does Lambda Layer support multiscale training, it seems like that you have to specify n?
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O.K. the logic that decides when to do multiscale cleaning for the facet and when to switch on the wavelet module in pyBDSM is confusing, but not as crazy as I first thought it is...
The current logi…
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Hello, how I can get Multiscale Superpixel Hierarchy? and how is the Superpixel Hierarchy used in graph_FeaturePyramid?
Looking forward to your help, thank you very much.
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@JosiahParry I'd be grateful for a view on https://r-spatial.github.io/spdep/articles/subgraphs.html, and agreement to use the Tokyo geometries in that vignette.
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Thank you for such a great work!
I have some questions about the setting of the Waymo dataset, what is the image resolution used for training and testing, is it 1280x1920 like the [config](https://g…
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Codecov complains (correctly) that we are not covering all cases with tests in `src/mapping/config/MappingConfiguration.cpp`.
We do not check all cases of `multiscaleAxis` and `multiscaleType`.
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Thank you for your awesome work!!!
I would like to be clarified of a doubt I have. During the normalization procedure are you dividing the values of the depthmap by 255? Is this the only normalizati…