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import pandas as pd | |
import PIL | |
from PIL import Image | |
from PIL import ImageDraw | |
import gradio as gr | |
import torch | |
import easyocr | |
torch.hub.download_url_to_file('https://i.pinimg.com/originals/45/d0/30/45d03054e15f4be731781eecba7458a4.jpg', 'korean.png') | |
def draw_boxes(image, bounds, color='yellow', width=2): | |
draw = ImageDraw.Draw(image) | |
for bound in bounds: | |
p0, p1, p2, p3 = bound[0] | |
draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width) | |
return image | |
def inference(img, lang): | |
if lang == "english": | |
lang = ['en'] | |
elif lang == "chinese": | |
lang = ['ch_sim'] | |
elif lang == "korean": | |
lang = ['ko'] | |
else: | |
lang = ['ja'] | |
reader = easyocr.Reader(lang) | |
bounds = reader.readtext(img.name) | |
im = PIL.Image.open(img.name) | |
draw_boxes(im, bounds) | |
im.save('result.jpg') | |
return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]] | |
title = 'EasyOCR' | |
description = 'Gradio demo for EasyOCR. EasyOCR demo supports 80+ languages.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.jaided.ai/easyocr/'>Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.</a> | <a href='https://github.com/JaidedAI/EasyOCR'>Github Repo</a></p>" | |
css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" | |
examples = [['korean.png',"korean"]] | |
choices = [ | |
"chinese", | |
"english", | |
"japanese", | |
"korean" | |
] | |
gr.Interface( | |
inference, | |
[gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices, type="value", default="korean", label='language')], | |
[gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])], | |
title=title, | |
description=description, | |
article=article, | |
examples=examples, | |
css=css, | |
enable_queue=True | |
).launch(debug=True) |