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deep-text-recognition-benchmark
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Update README.md

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Baek JeongHun 2019-04-14 16:41:41 +09:00 committed by GitHub
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@ -52,9 +52,9 @@ CUDA_VISIBLE_DEVICES=0 python3 test.py \
```
### Arguments
* `--train_data`: forder path to training lmdb dataset.
* `--valid_data`: forder path to validation lmdb dataset.
* `--eval_data`: forder path to evaluation (with test.py) lmdb dataset.
* `--train_data`: folder path to training lmdb dataset.
* `--valid_data`: folder path to validation lmdb dataset.
* `--eval_data`: folder path to evaluation (with test.py) lmdb dataset.
* `--select_data`: select training data. default is MJ-ST, which means MJ and ST used as training data.
* `--batch_ratio`: assign ratio for each selected data in the batch. default is 0.5-0.5, which means 50% of the batch is filled with MJ and the other 50% of the batch is filled ST.
* `--Transformation`: select Transformation module [None | TPS].