Update inference_ppocr.md
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@ -21,12 +21,14 @@
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```
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# 下载超轻量中文检测模型:
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tartar xf ch_ppocr_mobile_v2.0_det_infer.tarpython3 tools/infer/predict_det.py --image_dir="./doc/imgs/00018069.jpg" --det_model_dir="./ch_ppocr_mobile_v2.0_det_infer/"
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar
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tar xf ch_ppocr_mobile_v2.0_det_infer.tar
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python3 tools/infer/predict_det.py --image_dir="./doc/imgs/00018069.jpg" --det_model_dir="./ch_ppocr_mobile_v2.0_det_infer/"
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```
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可视化文本检测结果默认保存到`./inference_results`文件夹里面,结果文件的名称前缀为'det_res'。结果示例如下:
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![](/Users/zhulingfeng01/OCR/PaddleOCR/doc/imgs_results/det_res_00018069.jpg)
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![](../imgs_results/det_res_00018069.jpg)
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通过参数`limit_type`和`det_limit_side_len`来对图片的尺寸进行限制,
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`limit_type`可选参数为[`max`, `min`],
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@ -67,7 +69,7 @@ tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
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python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --rec_model_dir="ch_ppocr_mobile_v2.0_rec_infer"
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```
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![](/Users/zhulingfeng01/OCR/PaddleOCR/doc/imgs_words/ch/word_4.jpg)
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![](../imgs_words/ch/word_4.jpg)
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执行命令后,上面图像的预测结果(识别的文本和得分)会打印到屏幕上,示例如下:
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@ -86,7 +88,7 @@ Predicts of ./doc/imgs_words/ch/word_4.jpg:('实力活力', 0.98458153)
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python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/korean/1.jpg" --rec_model_dir="./your inference model" --rec_char_type="korean" --rec_char_dict_path="ppocr/utils/dict/korean_dict.txt" --vis_font_path="doc/fonts/korean.ttf"
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```
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![](/Users/zhulingfeng01/OCR/PaddleOCR/doc/imgs_words/korean/1.jpg)
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![](../imgs_words/korean/1.jpg)
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执行命令后,上图的预测结果为:
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@ -107,7 +109,7 @@ tar xf ch_ppocr_mobile_v2.0_cls_infer.tar
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python3 tools/infer/predict_cls.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --cls_model_dir="ch_ppocr_mobile_v2.0_cls_infer"
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```
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![](/Users/zhulingfeng01/OCR/PaddleOCR/doc/imgs_words/ch/word_1.jpg)
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![](../imgs_words/ch/word_1.jpg)
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执行命令后,上面图像的预测结果(分类的方向和得分)会打印到屏幕上,示例如下:
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@ -132,5 +134,5 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs/00018069.jpg" --de
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执行命令后,识别结果图像如下:
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![](/Users/zhulingfeng01/OCR/PaddleOCR/doc/imgs_results/system_res_00018069.jpg)
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![](../imgs_results/system_res_00018069.jpg)
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