Update README

README.md

@@ -1,13 +1,13 @@
 ## Rapid Structure
 - 该部分的功能主要针对文档类图像，包括文档图像分类、版面分析和表格识别。
 
-### [版面分析](https://github.com/RapidAI/RapidOCR/blob/main/python/rapid_structure/docs/README_Layout.md)
+### [版面分析](./docs/README_Layout.md)
 
-### [表格识别](https://github.com/RapidAI/RapidOCR/blob/main/python/rapid_structure/docs/README_Table.md)
+### [表格识别](./docs/README_Table.md)
 
-### [文档方向分类](https://github.com/RapidAI/RapidOCR/blob/main/python/rapid_structure/docs/README_Orientation.md)
+### [文档方向分类](./docs/README_Orientation.md)
 
-### 整体结构
+### 整体流程
 ```mermaid
 flowchart LR
     A[/文档图像/] --> B(文档方向分类 rapid_orientation) --> C(版面分析 rapid_layout) & D(表格识别 rapid_table) --> E(OCR识别 rapidocr_onnxruntime)

docs/doc_whl_rapid_layout.md

@@ -0,0 +1,60 @@
+## rapid-layout Package
+<p>
+    <a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
+    <a href="https://pypi.org/project/rapid-layout/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapid-layout"></a>
+</p>
+
+### 1. Install package by pypi.
+```bash
+$ pip install rapid-layout
+```
+
+### 2. Run by script.
+- RapidLayout has the default `model_path` value, you can set the different value of `model_path` to use different models, e.g. `layout_engine = RapidLayout(model_path='layout_publaynet.onnx')`
+- See details, for [README_Layout](https://github.com/RapidAI/RapidOCR/blob/f133ff008a1c60edd6e0ed882da83873aa7b113a/python/rapid_structure/docs/README_Layout.md) .
+- 📌 `layout.png` source: [link](https://github.com/RapidAI/RapidOCR/blob/f133ff008a1c60edd6e0ed882da83873aa7b113a/python/rapid_structure/test_images/layout.png)
+
+```python
+import cv2
+from rapid_layout import RapidLayout
+
+layout_engine = RapidLayout()
+
+img = cv2.imread('layout.png')
+
+layout_res, elapse = layout_engine(img)
+print(layout_res)
+```
+
+### 3. Run by command line.
+- Usage:
+    ```bash
+    $ rapid_layout -h
+    usage: rapid_layout [-h] [-v] -img IMG_PATH [-m MODEL_PATH]
+
+    optional arguments:
+    -h, --help            show this help message and exit
+    -v, --vis             Wheter to visualize the layout results.
+    -img IMG_PATH, --img_path IMG_PATH
+                            Path to image for layout.
+    -m MODEL_PATH, --model_path MODEL_PATH
+                            The model path used for inference.
+    ```
+- Example:
+    ```bash
+    $ rapid_layout -v -img layout.png
+    ```
+
+### 4. Result.
+- Return value.
+    ```python
+    [
+        {'bbox': array([321.4160495, 91.53214898, 562.06141263, 199.85522603]), 'label': 'text'},
+        {'bbox': array([58.67292211, 107.29000663, 300.25448676, 199.68142]), 'label': 'table_caption'}
+    ]
+    ```
+- Visualize result.
+    <div align="center">
+        <img src="https://raw.githubusercontent.com/RapidAI/RapidOCR/947c6958d30f47c7c7b016f7dc308f235acec3ee/python/rapid_structure/test_images/layout_result.jpg" width="80%" height="80%">
+    </div>

docs/doc_whl_rapid_orientation.md

@@ -0,0 +1,51 @@
+## rapid-orientation Package
+<p>
+    <a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
+    <a href="https://pypi.org/project/rapid-orientation/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapid-orientation"></a>
+</p>
+
+### 1. Install package by pypi.
+```bash
+$ pip install rapid-orientation
+```
+
+### 2. Run by script.
+- RapidOrientation has the default `model_path` value, you can set the different value of `model_path` to use different models, e.g. `orientation_engine = RapidOrientation(model_path='rapid_orientation.onnx')`
+- See details, for [README_Layout](https://github.com/RapidAI/RapidOCR/blob/f133ff008a1c60edd6e0ed882da83873aa7b113a/python/rapid_structure/docs/README_Layout.md) .
+- 📌 `layout.png` source: [link](https://github.com/RapidAI/RapidOCR/blob/f133ff008a1c60edd6e0ed882da83873aa7b113a/python/rapid_structure/test_images/layout.png)
+
+```python
+import cv2
+from rapid_orientation import RapidOrientation
+
+orientation_engine = RapidOrientation()
+
+img = cv2.imread('test_images/layout.png')
+
+orientation_res, elapse = orientation_engine(img)
+print(orientation_res)
+```
+
+### 3. Run by command line.
+- Usage:
+    ```bash
+    $ rapid_orientation -h
+    usage: rapid_orientation [-h] -img IMG_PATH [-m MODEL_PATH]
+
+    optional arguments:
+    -h, --help            show this help message and exit
+    -img IMG_PATH, --img_path IMG_PATH
+                        Path to image for layout.
+    -m MODEL_PATH, --model_path MODEL_PATH
+                        The model path used for inference
+    ```
+- Example:
+    ```bash
+    $ rapid_orientation -img layout.png
+    ```
+
+### 4. Result.
+```python
+# Return str, four types:：0 | 90 | 180 | 270
+```

docs/doc_whl_rapid_table.md

@@ -0,0 +1,41 @@
+## rapid-table Package
+<p>
+    <a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
+</p>
+
+### 1. Install package by pypi.
+```bash
+$ pip install rapid-table
+```
+
+### 2. Run by script.
+- RapidTable has the default `model_path` value, you can set the different value of `model_path` to use different models, e.g. `table_engine = RapidTable(model_path='ch_ppstructure_mobile_v2_SLANet.onnx')`
+- See details, for [README_Table](https://github.com/RapidAI/RapidOCR/blob/a87133a6fc3b8ee696e246028e529f7b2319d138/python/rapid_structure/docs/README_Table.md) .
+- 📌 `table.jpg` source: [link](https://github.com/RapidAI/RapidOCR/blob/a87133a6fc3b8ee696e246028e529f7b2319d138/python/rapid_structure/test_images/table.jpg)
+
+```python
+import cv2
+from rapid_table import RapidTable
+
+table_engine = RapidTable()
+
+img = cv2.imread('table.jpg')
+table_html_str, _ = table_engine(img)
+print(table_html_str)
+```
+
+### 3. Run by command line.
+```bash
+$ rapid_table -v -img table.jpg
+```
+
+### 4. Result.
+- Return value.
+    ```html
+    <html><body><table><thead><tr><td>Methods</td><td></td><td></td><td></td><td>FPS</td></tr></thead><tbody><tr><td>SegLink [26]</td><td>70.0</td><td>86d><td.0</td><td>77.0</td><td>8.9</td></tr><tr><td>PixelLink [4]</td><td>73.2</td><td>83.0</td><td>77.8</td><td></td></tr><tr><td>TextSnake [18]</td><td>73.9</td><td>83.2</td><td>78.3</td><td>1.1</td></tr><tr><td>TextField [37]</td><td>75.9</td><td>87.4</td><td>81.3</td><td>5.2</td></tr><tr><td>MSR[38]</td><td>76.7</td><td>87.87.4</td><td>81.7</td><td></td></tr><tr><td>FTSN [3]</td><td>77.1</td><td>87.6</td><td>82.0</td><td></td></tr><tr><td>LSE[30]</td><td>81.7</td><td>84.2</td><td>82.9</td><><ttd></td></tr><tr><td>CRAFT [2]</td><td>78.2</td><td>88.2</td><td>82.9</td><td>8.6</td></tr><tr><td>MCN[16]</td><td>79</td><td>88</td><td>83</td><td></td></tr><tr><td>ATRR</>[35]</td><td>82.1</td><td>85.2</td><td>83.6</td><td></td></tr><tr><td>PAN [34]</td><td>83.8</td><td>84.4</td><td>84.1</td><td>30.2</td></tr><tr><td>DB[12]</td><td>79.2</t91/d><td>91.5</td><td>84.9</td><td>32.0</td></tr><tr><td>DRRG[41]</td><td>82.30</td><td>88.05</td><td>85.08</td><td></td></tr><tr><td>Ours (SynText)</td><td>80.68</td><td>85<t..40</td><td>82.97</td><td>12.68</td></tr><tr><td>Ours (MLT-17)</td><td>84.54</td><td>86.62</td><td>85.57</td><td>12.31</td></tr></tbody></table></body></html>
+    ```
+- Visualize result.
+    <div align="center">
+        <table><thead><tr><td>Methods</td><td></td><td></td><td></td><td>FPS</td></tr></thead><tbody><tr><td>SegLink [26]</td><td>70.0</td><td>86d><td.0</td><td>77.0</td><td>8.9</td></tr><tr><td>PixelLink [4]</td><td>73.2</td><td>83.0</td><td>77.8</td><td></td></tr><tr><td>TextSnake [18]</td><td>73.9</td><td>83.2</td><td>78.3</td><td>1.1</td></tr><tr><td>TextField [37]</td><td>75.9</td><td>87.4</td><td>81.3</td><td>5.2</td></tr><tr><td>MSR[38]</td><td>76.7</td><td>87.87.4</td><td>81.7</td><td></td></tr><tr><td>FTSN [3]</td><td>77.1</td><td>87.6</td><td>82.0</td><td></td></tr><tr><td>LSE[30]</td><td>81.7</td><td>84.2</td><td>82.9</td><><ttd></td></tr><tr><td>CRAFT [2]</td><td>78.2</td><td>88.2</td><td>82.9</td><td>8.6</td></tr><tr><td>MCN[16]</td><td>79</td><td>88</td><td>83</td><td></td></tr><tr><td>ATRR</>[35]</td><td>82.1</td><td>85.2</td><td>83.6</td><td></td></tr><tr><td>PAN [34]</td><td>83.8</td><td>84.4</td><td>84.1</td><td>30.2</td></tr><tr><td>DB[12]</td><td>79.2</t91/d><td>91.5</td><td>84.9</td><td>32.0</td></tr><tr><td>DRRG[41]</td><td>82.30</td><td>88.05</td><td>85.08</td><td></td></tr><tr><td>Ours (SynText)</td><td>80.68</td><td>85<t..40</td><td>82.97</td><td>12.68</td></tr><tr><td>Ours (MLT-17)</td><td>84.54</td><td>86.62</td><td>85.57</td><td>12.31</td></tr></tbody></table>
+    </div>