mirror of
https://github.com/RapidAI/RapidOCR.git
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47 lines
1.4 KiB
Markdown
Executable File
47 lines
1.4 KiB
Markdown
Executable File
### 🎉2021-06-10 update:
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- 添加server版文本识别模型，详情见[提取码：30jv](https://pan.baidu.com/s/1qkqWK4wRdMjqGGbzR-FyWg)
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### 2021-06-09 update:
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- 添加字体文件到模型下载链接中
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### 2021-05-22 update:
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- 添加日文识别推理代码和相应模型，详情见`japan_ppocr_mobile_v2_rec`目录
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- 整理代码，去除无效代码
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- 每个单独模块，添加执行脚本示例
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### 2021-03-24 update:
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- 更改文本识别模型支持ort1.7,推理速度有着较大提升
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---
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### 运行
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1. 下载相应模型和用于显示的字体文件
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- [提取码：30jv](https://pan.baidu.com/s/1qkqWK4wRdMjqGGbzR-FyWg)
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- 下载之后放在`models`目录即可
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2. 运行`rapidOCR.py`文件, 即可
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```shell
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cd python
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python rapidOCR.py
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```
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### 文本检测+方向分类+文本识别
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```python
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from ch_ppocr_mobile_v2_cls import TextClassifier
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from ch_ppocr_mobile_v2_det import TextDetector
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from ch_ppocr_mobile_v2_rec import TextRecognizer
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det_model_path = 'models/ch_ppocr_mobile_v2.0_det_infer.onnx'
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cls_model_path = 'models/ch_ppocr_mobile_v2.0_cls_infer.onnx'
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rec_model_path = 'models/ch_ppocr_mobile_v2.0_rec_infer.onnx'
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image_path = r'test_images/det_images/1.jpg'
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text_sys = TextSystem(det_model_path,
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rec_model_path,
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use_angle_cls=True,
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cls_model_path=cls_model_path)
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dt_boxes, rec_res = text_sys(image_path)
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visualize(image_path, dt_boxes, rec_res)
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```
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