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Add text orientation cls module.
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## Rapid Orientation
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<p align="left">
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<a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
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<a href="https://pypi.org/project/rapid-orientation/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapid-orientation"></a>
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<a href="https://pypi.org/project/rapid-orientation/"><img src="https://img.shields.io/pypi/dm/rapid-orientation?color=9cf"></a>
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</p>
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#### 简介和说明
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- 该部分主要是做含文字图像方向分类模型。
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| 模型类型 | 模型名称 | 模型大小 | 支持种类 |
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|:---:|:---:|:---:|:---:|
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| 四方向分类 | `rapid_orientation.onnx` | 6.5M | `0 90 180 270`|
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#### 使用方式
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1. pip安装
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- 由于模型较小,已经将分类模型(`rapid_orientation.onnx`)打包进了whl包内:
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```bash
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$ pip install rapid-orientation
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```
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2. python脚本运行
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```python
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import cv2
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from rapid_orientation import RapidOrientation
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orientation_engine = RapidOrientation()
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img = cv2.imread('test_images/layout.png')
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orientation_res, elapse = orientation_engine(img)
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print(orientation_res)
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```
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3. 终端运行
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- 用法:
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```bash
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$ rapid_orientation -h
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usage: rapid_orientation [-h] -img IMG_PATH [-m MODEL_PATH]
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optional arguments:
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-h, --help show this help message and exit
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-img IMG_PATH, --img_path IMG_PATH
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Path to image for layout.
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-m MODEL_PATH, --model_path MODEL_PATH
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The model path used for inference.
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```
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- 示例:
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```bash
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$ rapid_orientation -img test_images/layout.png
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```
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4. 结果
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```python
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# 返回结果为str类型,有四类:0 | 90 | 180 | 270
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```
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