Update inference.md
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@ -114,13 +114,13 @@ python3 tools/export_model.py -c configs/rec/rec_r34_vd_tps_bilstm_ctc.yml -o Gl
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STAR-Net文本识别模型推理,可以执行如下命令:
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```
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python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_401.png" --rec_model_dir="./inference/starnet/" --rec_image_shape="3, 32, 100" --rec_char_type="en"
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python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./inference/starnet/" --rec_image_shape="3, 32, 100" --rec_char_type="en"
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```
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![](imgs_words_en/word_401.png)
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![](imgs_words_en/word_336.png)
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执行命令后,上面图像的识别结果如下:
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Predicts of ./doc/imgs_words_en/word_401.png:['burgen', 0.9008867]
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Predicts of ./doc/imgs_words_en/word_336.png:['super', 0.9999555]
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**注意**:由于上述模型是参考[DTRB](https://arxiv.org/abs/1904.01906)文本识别训练和评估流程,与超轻量级中文识别模型训练有两方面不同:
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