This is SEU_309's Solution for Low-resolution TikTok ID Recognition Competition held by ByteDance.
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Install PaddlePaddle.
You can refer to https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/quickstart_en.md#1-installation.
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Install third-party libraries.
pip install -r requirements.txt
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Prepare the dataset.
Unzip archive in
./data/
. Your directory & file structure should look like this,Tiktok_OCR │ └───data │ │ train.txt │ │ eval.txt │ │ │ └───train_set_random │ | │ v0d00fg10000cb9gacjc77u3gp5qggd0_0_.jpg │ | │ ... │ │ │ └───test_set_random │ │ v0d00fg10000cb9gacjc77u3gp5qggd0_2_.jpg │ │ ...
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Execute the shell script.
sh run.sh
More details can be found in our report (English)/(Chinese).