PaddleOCR

9.7 KiB

Raw Blame History

comments

hide

true

navigation

安装

1. 安装PaddlePaddle

如果您没有基础的Python运行环境，请参考运行环境准备。

=== "CPU端安装"

```bash linenums="1"
python -m pip install paddlepaddle==3.0.0rc1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
```

=== "GPU端安装"

由于GPU端需要根据具体CUDA版本来对应安装使用，以下仅以Linux平台，pip安装英伟达GPU， CUDA11.8为例，其他平台，请参考[飞桨官网安装文档](https://www.paddlepaddle.org.cn/install/quick)中的说明进行操作。


```bash linenums="1"
python -m pip install paddlepaddle-gpu==3.0.0rc1 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
```

2. 安装`paddleocr`

pip install paddleocr

NOTE: 可以通过设置环境变量 PADDLE_OCR_BASE_DIR 来自定义 OCR 模型的存储位置。如果未设置此变量，模型将下载到以下默认位置：

在Linux/macOS上路径为：${HOME}/.paddleocr
在Windows上路径为：C:\Users\{username}\.paddleocr

Python脚本使用

=== "文本检测+方向分类+文本识别"

```python linenums="1"
from paddleocr import PaddleOCR, draw_ocr

# Paddleocr supports Chinese, English, French, German, Korean and Japanese
# You can set the parameter `lang` as `ch`, `en`, `french`, `german`, `korean`, `japan`
# to switch the language model in order
ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to download and load model into memory
img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
result = ocr.ocr(img_path, cls=True)
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        print(line)

# draw result
from PIL import Image
result = result[0]
image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
```

输出示例：

```python linenums="1"
[[[442.0, 173.0], [1169.0, 173.0], [1169.0, 225.0], [442.0, 225.0]], ['ACKNOWLEDGEMENTS', 0.99283075]]
[[[393.0, 340.0], [1207.0, 342.0], [1207.0, 389.0], [393.0, 387.0]], ['We would like to thank all the designers and', 0.9357758]]
[[[399.0, 398.0], [1204.0, 398.0], [1204.0, 433.0], [399.0, 433.0]], ['contributors whohave been involved in the', 0.9592447]]
......
```

=== "文本检测+文本识别"

```python linenums="1"
from paddleocr import PaddleOCR,draw_ocr
ocr = PaddleOCR(lang='en') # need to run only once to download and load model into memory
img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
result = ocr.ocr(img_path, cls=False)
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        print(line)

# draw result
from PIL import Image
result = result[0]
image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
```

输出示例：

```python linenums="1"
[[[442.0, 173.0], [1169.0, 173.0], [1169.0, 225.0], [442.0, 225.0]], ['ACKNOWLEDGEMENTS', 0.99283075]]
[[[393.0, 340.0], [1207.0, 342.0], [1207.0, 389.0], [393.0, 387.0]], ['We would like to thank all the designers and', 0.9357758]]
[[[399.0, 398.0], [1204.0, 398.0], [1204.0, 433.0], [399.0, 433.0]], ['contributors whohave been involved in the', 0.9592447]]
......
```

=== "方向分类+文本识别"

```python linenums="1"
from paddleocr import PaddleOCR
ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to load model into memory
img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png'
result = ocr.ocr(img_path, det=False, cls=True)
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        print(line)
```

输出示例：

```python linenums="1"
['PAIN', 0.990372]
```

=== "只有文本检测"

```python linenums="1"
from paddleocr import PaddleOCR,draw_ocr
ocr = PaddleOCR() # need to run only once to download and load model into memory
img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
result = ocr.ocr(img_path,rec=False)
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        print(line)

# draw result
from PIL import Image
result = result[0]
image = Image.open(img_path).convert('RGB')
im_show = draw_ocr(image, result, txts=None, scores=None, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
```

输出示例：

```python linenums="1"
[[756.0, 812.0], [805.0, 812.0], [805.0, 830.0], [756.0, 830.0]]
[[820.0, 803.0], [1085.0, 801.0], [1085.0, 836.0], [820.0, 838.0]]
[[393.0, 801.0], [715.0, 805.0], [715.0, 839.0], [393.0, 836.0]]
......
```

=== "只有识别"

```python linenums="1"
from paddleocr import PaddleOCR
ocr = PaddleOCR(lang='en') # need to run only once to load model into memory
img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png'
result = ocr.ocr(img_path, det=False, cls=False)
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        print(line)
```

输出示例：

```python linenums="1"
['PAIN', 0.990372]
```

=== "只有方向分类"

```python linenums="1"
from paddleocr import PaddleOCR
ocr = PaddleOCR(use_angle_cls=True) # need to run only once to load model into memory
img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png'
result = ocr.ocr(img_path, det=False, rec=False, cls=True)
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        print(line)
```

输出示例：

```python linenums="1"
['0', 0.99999964]
```

命令行使用

显示帮助信息

paddleocr -h