README.md

# PaddleOCR

## 模型介绍
目前已知运行速度最快、支持最广，完全开源免费并支持离线快速部署的多平台多语言OCR。。

## 模型结构
PaddleOCR使用ch_PP-OCRv3_det + ch_ppocr_mobile_v2.0_cls + ch_PP-OCRv3_rec三个模型进行图像中的文本识别。

## Python版本推理

本次采用PaddleOCR模型基于ONNXRuntime推理框架进行图像文本识别，模型文件下载链接：https://pan.baidu.com/s/1uGHhimKLb5k5f9xaFmNBwQ , 提取码：ggvz ，并将ch_PP-OCRv3_det_infer.onnx、ch_ppocr_mobile_v2.0_cls_infer.onnx、ch_PP-OCRv3_rec_infer.onnx模型文件保存在Resource/Models文件夹下。下面介绍如何运行python代码示例，Python示例的详细说明见Doc目录下的Tutorial_Python.md。

### 下载镜像

在光源中下载镜像： 

```python
docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:ort1.14.0_migraphx3.0.0-dtk22.10.1
```

### 设置Python环境变量

```
export PYTHONPATH=/opt/dtk/lib:$PYTHONPATH
```

### 安装依赖

```python
# 进入paddleocr ort工程根目录
cd <path_to_paddleocr_ort> 

# 进入示例程序目录
cd Python/

# 安装依赖
pip install -r requirements.txt
```

### 运行示例

```python
python paddleocr.py
```

如下所示，通过输入图像，PaddleOCR模型可以识别出文字和文本框。

```
[[[[245.0, 9.0], [554.0, 8.0], [554.0, 27.0], [245.0, 28.0]], '人生活的真实写照：善有善报，恶有恶报。', '0.9306996673345566'], [[[9.0, 49.0], [522.0, 50.0], [522.0, 69.0], [9.0, 68.0]], '我们中国人有一句俗语说：“种瓜得瓜，种豆得豆。”而这就是每个', '0.9294075581335253'], [[[84.0, 105.0], [555.0, 104.0], [555.0, 125.0], [85.0, 127.0]], "every man's life: good begets good, and evil leads to evil.", '0.8932319914301237'], [[[28.0, 147.0], [556.0, 146.0], [556.0, 168.0], [28.0, 169.0]], 'melons; if he sows beans, he will reap beans." And this is true of', '0.900923888185131'], [[[0.0, 185.0], [524.0, 188.0], [524.0, 212.0], [0.0, 209.0]], 'We Chinese have a saying:"If a man plants melons, he will reap', '0.9216671202863965'], [[[295.0, 248.0], [553.0, 248.0], [553.0, 264.0], [295.0, 264.0]], '它不仅适用于今生，也适用于来世。', '0.927988795673146'], [[[14.0, 289.0], [554.0, 290.0], [554.0, 307.0], [14.0, 306.0]], '一每一个行为都有一种结果。在我看来，这种想法是全宇宙的道德基础；', '0.88565122719967'], [[[9.0, 330.0], [521.0, 330.0], [521.0, 349.0], [9.0, 349.0]], '假如说过去的日子曾经教给我们一些什么的话，那就是有因必有果一', '0.9162070232052957'], [[[343.0, 388.0], [555.0, 388.0], [555.0, 405.0], [343.0, 405.0]], 'in this world and the next.', '0.8764956444501877'], [[[15.0, 426.0], [554.0, 426.0], [554.0, 448.0], [15.0, 448.0]], 'opinion, is the moral foundation of the universe; it applies equally', '0.9183026262815448'], [[[62.0, 466.0], [556.0, 468.0], [556.0, 492.0], [62.0, 490.0]], 'effect - every action has a consequence. This thought, in my', '0.9308378403304053']]
```

## C++版本推理

本次采用PaddleOCR模型基于ONNXRuntime推理框架进行图像文本识别，模型文件下载链接：https://pan.baidu.com/s/1uGHhimKLb5k5f9xaFmNBwQ , 提取码：ggvz ，并将ch_PP-OCRv3_det_infer.onnx、ch_ppocr_mobile_v2.0_cls_infer.onnx、ch_PP-OCRv3_rec_infer.onnx模型文件保存在Resource/Models文件夹下。下面介绍如何运行python代码示例，Python示例的详细说明见Doc目录下的Tutorial_Cpp.md。

### 下载镜像

```
docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:ort1.14.0_migraphx3.0.0-dtk22.10.1
```

### 构建工程

```
rbuild build -d depend
```

### 设置环境变量

将依赖库依赖加入环境变量LD_LIBRARY_PATH，在~/.bashrc中添加如下语句：

```
export LD_LIBRARY_PATH=<path_to_paddleocr_ort>/depend/lib64/:$LD_LIBRARY_PATH
```

然后执行:

```
source ~/.bashrc
source /opt/dtk/env.sh
```

### 运行示例

```cpp
# 进入paddleocr ort工程根目录
cd <path_to_paddleocr_ort> 

# 进入build目录
cd build/

# 执行示例程序
./PaddleOCR
```

如下所示，通过输入图像，PaddleOCR模型可以识别出文字和文本框，结果保存在/Resource/Images/文件夹中。

```
TextBox[0](+padding)[score(0.711119),[x: 293, y: 58], [x: 604, y: 58], [x: 604, y: 79], [x: 293, y: 79]]

...

TextBox[11](+padding)[score(0.605026),[x: 92, y: 554], [x: 610, y: 557], [x: 609, y: 585], [x: 92, y: 582]]
---------- step: drawTextBoxes ----------
---------- step: angleNet getAngles ----------
angle[0][index(1), score(1.000000), time(57.276707ms)]

...

angle[11][index(1), score(0.930842), time(2.952602ms)]
---------- step: crnnNet getTextLine ----------
textLine[0](人生活的真实写照：善有善报，恶有恶报。)
textScores[0]{0.576271 ,0.99956 ,0.999475 ,0.99967 ,0.998779 ,0.999525 ,0.805865 ,0.999865 ,0.988233 ,0.999061 ,0.999581 ,0.999483 ,0.999324 ,0.995648 ,0.561861 ,0.961845 ,0.995993 ,0.998593 ,0.994963}
crnnTime[0](58.019418ms)

...

textLine[11](If the past has taught us anything, it is that every cause brings)
textScores[11]{0.996653 ,0.625094 ,0.97989 ,0.999761 ,0.816289 ,0.99883 ,0.963821 ,0.999222 ,0.999725 ,0.999588 ,0.542554 ,0.998707 ,0.911063 ,0.603935 ,0.99833 ,0.994734 ,0.998606 ,0.999571 ,0.9995 ,0.99971 ,0.983833 ,0.941867 ,0.989647 ,0.999145 ,0.998365 ,0.995752 ,0.999369 ,0.999424 ,0.976135 ,0.998815 ,0.999755 ,0.67898 ,0.999837 ,0.999205 ,0.982815 ,0.991013 ,0.999252 ,0.818822 ,0.996863 ,0.998451 ,0.999198 ,0.812635 ,0.999701 ,0.567811 ,0.999545 ,0.815998 ,0.996471 ,0.998722 ,0.999546 ,0.999121 ,0.999202 ,0.99971 ,0.980306 ,0.999399 ,0.635116 ,0.99954 ,0.998961 ,0.600432 ,0.990555 ,0.999872 ,0.998974 ,0.999687 ,0.56602 ,0.999607 ,0.999343}
crnnTime[11](38.051758ms)

```

## 源码仓库及问题反馈

https://developer.hpccube.com/codes/modelzoo/paddleocr_ort

## 参考

https://github.com/RapidAI/RapidOCR

https://github.com/RapidAI/RapidOcrOnnx