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import os |
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os.system('pip install paddlepaddle') |
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os.system('pip install paddleocr') |
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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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ocr = PaddleOCR(use_angle_cls=True, lang='en') |
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def inference(img): |
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img_path = img.name |
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result = ocr.ocr(img_path, cls=True) |
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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 = 'Gradio demo for PaddleOCR. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below.' |
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>" |
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gr.Interface( |
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inference, |
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gr.inputs.Image(type='file', label='Input'), |
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gr.outputs.Image(type='file', label='Output'), |
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title=title, |
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description=description, |
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article=article, |
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).launch(debug=True) |