185 lines
6.5 KiB
Markdown
185 lines
6.5 KiB
Markdown
---
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comments: true
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hide:
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- navigation
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---
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### Install
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```bash linenums="1"
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pip install paddleocr
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```
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### Use
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=== "Detection + Classification + Recognition"
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```python linenums="1"
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from paddleocr import PaddleOCR, draw_ocr
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# Paddleocr supports Chinese, English, French, German, Korean and Japanese
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# You can set the parameter `lang` as `ch`, `en`, `french`, `german`, `korean`, `japan`
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# to switch the language model in order
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ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to download and load model into memory
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img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
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result = ocr.ocr(img_path, cls=True)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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print(line)
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# draw result
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from PIL import Image
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result = result[0]
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image = Image.open(img_path).convert('RGB')
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boxes = [line[0] for line in result]
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txts = [line[1][0] for line in result]
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scores = [line[1][1] for line in result]
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im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
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im_show = Image.fromarray(im_show)
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im_show.save('result.jpg')
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```
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Output will be a list, each item contains bounding box, text and recognition confidence：
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```python linenums="1"
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[[[442.0, 173.0], [1169.0, 173.0], [1169.0, 225.0], [442.0, 225.0]], ['ACKNOWLEDGEMENTS', 0.99283075]]
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[[[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]]
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[[[399.0, 398.0], [1204.0, 398.0], [1204.0, 433.0], [399.0, 433.0]], ['contributors whohave been involved in the', 0.9592447]]
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......
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```
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=== "Detection + Recognition"
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```python linenums="1"
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from paddleocr import PaddleOCR,draw_ocr
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ocr = PaddleOCR(lang='en') # need to run only once to download and load model into memory
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img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
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result = ocr.ocr(img_path, cls=False)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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print(line)
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# draw result
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from PIL import Image
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result = result[0]
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image = Image.open(img_path).convert('RGB')
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boxes = [line[0] for line in result]
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txts = [line[1][0] for line in result]
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scores = [line[1][1] for line in result]
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im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
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im_show = Image.fromarray(im_show)
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im_show.save('result.jpg')
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```
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Output will be a list, each item contains bounding box, text and recognition confidence：
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```python linenums="1"
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[[[442.0, 173.0], [1169.0, 173.0], [1169.0, 225.0], [442.0, 225.0]], ['ACKNOWLEDGEMENTS', 0.99283075]]
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[[[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]]
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[[[399.0, 398.0], [1204.0, 398.0], [1204.0, 433.0], [399.0, 433.0]], ['contributors whohave been involved in the', 0.9592447]]
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......
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```
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=== "Classification + Recognition"
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```python linenums="1"
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from paddleocr import PaddleOCR
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ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to load model into memory
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img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png'
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result = ocr.ocr(img_path, det=False, cls=True)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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print(line)
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```
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Output will be a list, each item contains recognition text and confidence:
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```python linenums="1"
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['PAIN', 0.990372]
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```
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=== "Only detection"
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```python linenums="1"
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from paddleocr import PaddleOCR,draw_ocr
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ocr = PaddleOCR() # need to run only once to download and load model into memory
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img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
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result = ocr.ocr(img_path,rec=False)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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print(line)
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# draw result
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from PIL import Image
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result = result[0]
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image = Image.open(img_path).convert('RGB')
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im_show = draw_ocr(image, result, txts=None, scores=None, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
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im_show = Image.fromarray(im_show)
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im_show.save('result.jpg')
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```
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Output will be a list, each item only contains bounding box:
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```python linenums="1"
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[[756.0, 812.0], [805.0, 812.0], [805.0, 830.0], [756.0, 830.0]]
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[[820.0, 803.0], [1085.0, 801.0], [1085.0, 836.0], [820.0, 838.0]]
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[[393.0, 801.0], [715.0, 805.0], [715.0, 839.0], [393.0, 836.0]]
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......
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```
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=== "Only recognition"
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```python linenums="1"
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from paddleocr import PaddleOCR
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ocr = PaddleOCR(lang='en') # need to run only once to load model into memory
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img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png'
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result = ocr.ocr(img_path, det=False, cls=False)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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print(line)
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```
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Output will be a list, each item contains recognition text and confidence：
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```python linenums="1"
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['PAIN', 0.990372]
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```
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=== "Only classification"
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```python linenums="1"
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from paddleocr import PaddleOCR
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ocr = PaddleOCR(use_angle_cls=True) # need to run only once to load model into memory
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img_path = 'PaddleOCR/doc/imgs_words_en/word_10.png'
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result = ocr.ocr(img_path, det=False, rec=False, cls=True)
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for idx in range(len(result)):
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res = result[idx]
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for line in res:
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print(line)
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```
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Output will be a list, each item contains classification result and confidence
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```python linenums="1"
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['0', 0.99999964]
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```
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### Online Demo
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- PP-OCRv4 online experience：<https://aistudio.baidu.com/aistudio/projectdetail/6611435>
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- SLANet online experience：<https://aistudio.baidu.com/community/app/91661>
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- PP-ChatOCRv3-doc online experience：<https://aistudio.baidu.com/community/app/182491>
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- PP-ChatOCRv2-common online experience：<https://aistudio.baidu.com/community/app/91662>
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- PP-ChatOCRv2-doc online experience：<https://aistudio.baidu.com/community/app/70303>
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### Other resources
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- [One-Click Call for 17 Core PaddleOCR Models](https://paddlepaddle.github.io/PaddleOCR/latest/en/paddlex/quick_start.html)
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- One line of code quick use: [Text Detection and Recognition (Chinese/English/Multilingual)](https://paddlepaddle.github.io/PaddleOCR/latest/en/ppocr/overview.html)
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- One line of code quick use: [Document Analysis](https://paddlepaddle.github.io/PaddleOCR/latest/en/ppstructure/overview.html)
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