remove useless config's parameters
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@ -171,7 +171,6 @@ Arguments:
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* `--TRAIN_DATASET_SIZE`: Training dataset size.
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* `--TEST_DATASET_PATH`: The path to test dataset.
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* `--TEST_BATCH_SIZE`: Test batch size.
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* `--TEST_DATASET_SIZE`:Test dataset size.
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* `--TRAIN_EPOCHS`:Total training epochs.
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* `--CKPT_PATH`:The path to model checkpoint file, can be used to resume training and evaluation.
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* `--SAVE_PATH`:The path to save model checkpoint file.
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@ -29,7 +29,6 @@ class Config_CNNCTC():
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TRAIN_BATCH_SIZE = 192
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TEST_DATASET_PATH = 'CNNCTC_Data/IIIT5k_3000'
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TEST_BATCH_SIZE = 256
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TEST_DATASET_SIZE = 2976
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TRAIN_EPOCHS = 3
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# training config
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@ -41,7 +41,6 @@ config = ed({
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"TRAIN_LONG_SIZE": 640,
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"TRAIN_DATASET_SIZE": 1000,
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"TRAIN_MIN_SCALE": 0.4,
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"TRAIN_BUFFER_SIZE": 8,
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"TRAIN_BATCH_SIZE": 4,
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"TRAIN_REPEAT_NUM": 1800,
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"TRAIN_DROP_REMAINDER": True,
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