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train_mono_predict: limit label size to 64x64
that's the size the model predicts
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@ -74,7 +74,8 @@ def run(args):
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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_mono_predict(
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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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shape_water_desired=[64, 64]
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)
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# for items in dataset_train.repeat(10):
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