|
import os |
|
os.system('pip install paddlepaddle') |
|
os.system('pip install paddleocr') |
|
from paddleocr import PaddleOCR, draw_ocr |
|
from PIL import Image |
|
import gradio as gr |
|
import torch |
|
|
|
torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg') |
|
|
|
def inference(img, lang): |
|
ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False) |
|
img_path = img.name |
|
result = ocr.ocr(img_path, cls=True)[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='simfang.ttf') |
|
im_show = Image.fromarray(im_show) |
|
im_show.save('result.jpg') |
|
return 'result.jpg' |
|
|
|
title = 'PaddleOCR' |
|
description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. 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.' |
|
article = "<p style='text-align: center'><a href='https://www.paddlepaddle.org.cn/hub/scene/ocr'>Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)</a> | <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>" |
|
examples = [['example.jpg','en']] |
|
css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" |
|
gr.Interface( |
|
inference, |
|
[gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='en', label='language')], |
|
gr.outputs.Image(type='file', label='Output'), |
|
title=title, |
|
description=description, |
|
article=article, |
|
examples=examples, |
|
css=css, |
|
enable_queue=True |
|
).launch(debug=True) |