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deep-text-recognition-benchmark
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Update README.md

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Baek JeongHun 2019-10-10 17:16:32 +09:00 committed by GitHub
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@ -106,7 +106,8 @@ CUDA_VISIBLE_DEVICES=0 python3 test.py \
image_release.zip contains failure case images and benchmark evaluation images with cleansed label.
<img src="./figures/failure-case.jpg" width="1000" title="failure cases">
## When you need to create lmdb dataset
## When you need to train on your own dataset or Non-Latin language datasets.
1. Create your own lmdb dataset.
```
pip3 install fire
python3 create_lmdb_dataset.py --inputPath data/ --gtFile data/gt.txt --outputPath result/
@ -119,6 +120,8 @@ test/word_2.png kills
test/word_3.png A
...
```
2. Modify `--select_data`, `--batch_ratio`, and `opt.character`, see [this issue](https://github.com/clovaai/deep-text-recognition-benchmark/issues/85).
## Acknowledgements
This implementation has been based on these repository [crnn.pytorch](https://github.com/meijieru/crnn.pytorch), [ocr_attention](https://github.com/marvis/ocr_attention).