sbrl-github/research-rainfallradar
1
0
Fork 0
mirror of https://github.com/sbrl/research-rainfallradar synced 2024-11-22 01:12:59 +00:00
Code Issues Projects Releases Packages Wiki Activity

update help

Browse source
This commit is contained in:
Starbeamrainbowlabs 2022-09-13 19:36:56 +01:00
parent 206257f9f5
commit 3c1aef5913
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 3 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
aimodel/src/parse_args.py
View file

@ -17,7 +17,9 @@ This program trains, manipulates, visualises, and manages a contrastive learning
It functions by first finding relationships between the rainfall radar data and the water depth + heightmap data (the 'pretrain' subcommand). After this, a decoder model to predict water depth (modelled as an image segmentation task), can then be trained.
Available subcommands:
pretrain Pretrain a contrastive learning model as an encoder.
pretrain Pretrain a contrastive learning model as an encoder.
pretrain-predict Make predictions using a trained contrastive learning encoder.
pretrain-plot Plot using embeddings predicted using pretrain-predict.
For more information, do src/index.py <subcommand> --help.
""")