Update README.md
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@ -11,7 +11,7 @@ Based on this framework, we recorded the 1st place of [ICDAR2013 focused scene t
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The difference between our paper and ICDAR challenge is summarized [here](https://github.com/clovaai/deep-text-recognition-benchmark/issues/13).
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## Updates
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**Jun 24, 2019**: added gt.txt file of failure cases which contains path and label of each image, see [image_release_190624.zip](https://drive.google.com/open?id=1VAP9l5GL5fgptgKDLio_h3nMe7X9W0Mf) <br>
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**Jun 24, 2019**: added gt.txt of failure cases that contains path and label of each image, see [image_release_190624.zip](https://drive.google.com/open?id=1VAP9l5GL5fgptgKDLio_h3nMe7X9W0Mf) <br>
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**May 17, 2019**: uploaded resources in Baidu Netdisk also, added [Run demo](https://github.com/clovaai/deep-text-recognition-benchmark#run-demo-with-pretrained-model). (check [@sharavsambuu's](https://github.com/sharavsambuu) [colab demo also](https://colab.research.google.com/drive/1PHnc_QYyf9b1_KJ1r15wYXaOXkdm1Mrk)) <br>
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**May 9, 2019**: PyTorch version updated from 1.0.1 to 1.1.0, use torch.nn.CTCLoss instead of torch-baidu-ctc, and various minor updated.
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