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from paddleocr import PaddleOCR, draw_ocr |
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from PIL import Image |
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import gradio as gr |
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lang_list = ['ch', 'en', 'fr', 'german', 'korean', 'japan'] |
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ocr_dict = {lang: PaddleOCR(lang=lang, use_angle_cls=True, use_gpu=False) for lang in lang_list} |
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def inference(img, lang): |
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ocr = ocr_dict[lang] |
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img_path = img |
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result = ocr.ocr(img_path, cls=True)[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, |
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font_path='./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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return 'result.jpg' |
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title = 'PaddleOCR' |
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description = ''' |
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- Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. |
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- To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below. |
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- [Docs](https://paddlepaddle.github.io/PaddleOCR/), [Github Repository](https://github.com/PaddlePaddle/PaddleOCR). |
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''' |
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examples = [ |
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['en_example.jpg','en'], |
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['cn_example.jpg','ch'], |
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['jp_example.jpg','japan'], |
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] |
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css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" |
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gr.Interface( |
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inference, |
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[ |
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gr.Image(type='filepath', label='Input'), |
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gr.Dropdown(choices=lang_list, value='en', label='language') |
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], |
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gr.Image(type='filepath', label='Output'), |
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title=title, |
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description=description, |
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examples=examples, |
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css=css |
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).launch(debug=False) |
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