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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. 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: 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. For more information, do src/index.py <subcommand> --help.
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