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Starbeamrainbowlabs 2022-09-13 19:36:56 +01:00
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aimodel/src/parse_args.py
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@ -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.
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