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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 | |
| #import cv2 | |
| import math | |
| import numpy as np | |
| torch.hub.download_url_to_file('https://i.pinimg.com/originals/45/d0/30/45d03054e15f4be731781eecba7458a4.jpg', 'korean.jpg') | |
| def midpoint(x1, y1, x2, y2): | |
| x_mid = int((x1 + x2)/2) | |
| y_mid = int((y1 + y2)/2) | |
| return (x_mid, y_mid) | |
| def draw_mask(img, bounds): | |
| draw = ImageDraw.Draw(img) | |
| for bound in bounds: | |
| p0, p1, p2, p3 = bound[0] | |
| draw.polygon((*p0, *p1, *p2, *p3, *p0), fill=255) | |
| return img | |
| 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) | |
| mask = PIL.Image.new("L", im1.size, 0) | |
| w, h = im.size | |
| draw_mask(mask, bounds) | |
| #remove_text(im, mask, bounds) | |
| lang = "" | |
| im.save('result.jpg') | |
| #mask.save('mask.png') | |
| return ['result.jpg', pd.DataFrame(bounds). iloc[: , 1:2]] | |
| 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.jpg',"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()], | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| css=css, | |
| enable_queue=True | |
| ).launch(debug=True) |