| from paddleocr import PaddleOCR, draw_ocr |
| from PIL import Image |
| import gradio as gr |
| ocr = PaddleOCR(use_angle_cls=True, lang='en') |
|
|
| def inference(img): |
| img_path = img.name |
| result = ocr.ocr(img_path, cls=True) |
| 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='simfang.ttf') |
| im_show = Image.fromarray(im_show) |
| im_show.save('result.jpg') |
| return 'result.jpg' |
|
|
|
|
| title = 'PaddleOCR' |
| 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.' |
| 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>" |
|
|
| gr.Interface( |
| inference, |
| gr.inputs.Image(type='file', label='Input'), |
| gr.outputs.Image(type='file', label='Output'), |
| title=title, |
| description=description, |
| article=article, |
| ).launch(debug=True) |
