Nils Lehmann

Results 83 issues of Nils Lehmann

I am currently working on adding plotting methods based on #253. For datasets that contain Sentinel multispectral imagery, I have two questions. 1. In the CV4AKenyaCropType, the band names can...

datasets

This PR "superseeds" #511, because I found that Radiant ML Hub has multiple crop type datasets that follow almost the exact same format. Only the label.geojson files differ and hold...

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datasets
testing

This PR closes #403 by adding a STACAPI dataset. I will try to explain my thinking for this proposal: Here are some explanations for choices I made: - constructor takes...

datasets

This PR closes #452 by changing Chesapeake CVPR to work with a selection of states only. TODO: - [ ] add urls, zipfilenames, md5s for new download structure - [...

datasets

One thing that I find not so straight forward with TorchGeo is finding/using input imagery for the various Geospatial datasets that only provide labels (this could also just be me,...

documentation

Hi, Thank you for this exciting work. I will try to explain a use case that I hope will be possible with functorch because the naive way is just extremely...

**Describe the bug** In [main.py](https://github.com/weecology/DeepForest/blob/02aac1fd8105f18e63c321be170c2c55d82a51c6/deepforest/main.py#L127), the `enable_checkpointing=False` is hard coded. When I pass a lightning ModelCheckpoint to `create_trainer()` then it throws the error: `Trainer was configured with "enable_checkpointing=False" but found...

This PR adds the [Digital Typhoon Dataset](http://agora.ex.nii.ac.jp/digital-typhoon/dataset/). The implementation allows the following features: - create an input sequence of single channel images concatenated along channel dimension for nowcasting task (predicting...

documentation
datasets
testing
datamodules
dependencies

This PR aims to add support for dataloading based on xarray datasets as the discussion began in #1486. The application I have for my project is taking in CMIP6 data...

datasets
testing
dependencies

Sets are unordered and therefore, repeated calls were yielding different train and val sizes for Cyclone dataset.

datamodules