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@ -247,7 +247,10 @@ PaddleOCR支持训练和评估交替进行, 可以在 `configs/rec/rec_icdar15_t
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| rec_r31_sar.yml | SAR | ResNet31 | None | LSTM encoder | LSTM decoder |
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| rec_resnet_stn_bilstm_att.yml | SEED | Aster_Resnet | STN | BiLSTM | att |
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*其中SEED模型需要额外加载FastText训练好的[语言模型](https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.en.300.bin.gz)
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*其中SEED模型需要额外加载FastText训练好的[语言模型](https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.en.300.bin.gz) ,并且安装 fasttext 依赖:
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```
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python3.7 -m pip install fasttext==0.9.1
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```
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训练中文数据,推荐使用[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml),如您希望尝试其他算法在中文数据集上的效果,请参考下列说明修改配置文件:
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@ -12,4 +12,3 @@ cython
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lxml
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premailer
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openpyxl
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fasttext==0.9.1
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