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update cli docs
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@ -23,6 +23,7 @@ Available subcommands:
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train Train an image segmentation head on the output of pretrain-predict. YOU MUST TRAIN A CONTRASTIVE LEARNING MODEL FIRST.
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train Train an image segmentation head on the output of pretrain-predict. YOU MUST TRAIN A CONTRASTIVE LEARNING MODEL FIRST.
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train-predict Make predictions using a model trained through the train subcommand.
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train-predict Make predictions using a model trained through the train subcommand.
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train-mono Train a mono rainfall → water depth model.
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train-mono Train a mono rainfall → water depth model.
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train-mono-predict Make predictions using a model trained through the train-mono subcommand.
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For more information, do src/index.py <subcommand> --help.
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For more information, do src/index.py <subcommand> --help.
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""")
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""")
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@ -71,7 +71,7 @@ def run(args):
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sys.stderr.write(f"\n\n>>> This is TensorFlow {tf.__version__}\n\n\n")
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sys.stderr.write(f"\n\n>>> This is TensorFlow {tf.__version__}\n\n\n")
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# Note that if using a directory of input files, the output order is NOT GUARANTEED TO BE THE SAME. In fact, it probably won't be.
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# Note that if using a directory of input files, the output order is NOT GUARANTEED TO BE THE SAME. In fact, it probably won't be (see dataset_mono for more details).
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dataset = dataset_predict(
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dataset = dataset_predict(
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dirpath_input=args.input,
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dirpath_input=args.input,
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parallel_reads_multiplier=args.read_multiplier
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parallel_reads_multiplier=args.read_multiplier
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