Add text orientation cls module.

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SWHL committed 2023-01-21 16:17:34 +08:00
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## Rapid Orientation
<p align="left">
<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>
<a href="https://pypi.org/project/rapid-orientation/"><img src="https://img.shields.io/pypi/dm/rapid-orientation?color=9cf"></a>
</p>
#### 简介和说明
- 该部分主要是做含文字图像方向分类模型。
| 模型类型 | 模型名称 | 模型大小 | 支持种类 |
|:---:|:---:|:---:|:---:|
| 四方向分类 | `rapid_orientation.onnx` | 6.5M | `0 90 180 270`|
#### 使用方式
1. pip安装
- 由于模型较小,已经将分类模型(`rapid_orientation.onnx`)打包进了whl包内:
```bash
$ pip install rapid-orientation
```
2. python脚本运行
```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. 终端运行
- 用法:
```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.
```
- 示例:
```bash
$ rapid_orientation -img test_images/layout.png
```
4. 结果
```python
# 返回结果为str类型,有四类:0 | 90 | 180 | 270
```