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research-rainfallradar/rainfallwrangler
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Starbeamrainbowlabs 294fde7c82
rw; add requirements.txt
2023-11-30 16:45:04 +00:00
..
src rw/child_process:json2tfrecord: Add RAINFALL_MAX_NUMBER env var 2023-11-30 16:44:43 +00:00
package-lock.json fixup 2022-08-05 19:10:40 +01:00
package.json Update license to AGPL. 2023-07-06 15:16:11 +01:00
README.md README: Continue filling out, but we're not there yet. 2023-11-29 17:31:47 +00:00
requirements.txt rw; add requirements.txt 2023-11-30 16:45:04 +00:00
slurm-jsonl2tfrecord.job slurm: customise log file names 2022-11-10 21:09:34 +00:00
slurm-process.job slurm-process: -n28 → --exclusive 2022-11-04 17:42:50 +00:00
slurm-wrangle-uniq.job slurm: customise log file names 2022-11-10 21:09:34 +00:00

README.md

rainfallwrangler

Wrangles rainfall radar and water depth data into something sensible.

This Node.js-based tool is designed for wrangling rainfall, heightmap, and water depth data into something that the image semantic segmentation model that is the main feature of this repository can understand.

The reason for this is efficiency: nothing less than a set of .tfrecord files for reading in parallel is sufficient if one wants the model to train in a reasonable length of time.

TODO: Write a guide for this tool here.

System requirements

Getting started

Contributing

Licence

Same as that of the main repository. TODO expand on this.