Pix2Text / main.py
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add main.py
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from pix2text import Pix2Text, merge_line_texts
img_fp = './examples/en1.jpg'
p2t = Pix2Text.from_config()
outs = p2t.recognize_text_formula(img_fp, resized_shape=768, return_text=True)
print(outs)
# #! pip install pix2text>=1.1
# import requests
# from io import BytesIO
# from PIL import Image
# from pix2text import Pix2Text, merge_line_texts
# def download_img(url):
# response = requests.get(url)
# image_file = BytesIO(response.content)
# return Image.open(image_file).convert('RGB')
# image_fps = [
# 'https://raw.githubusercontent.com/breezedeus/Pix2Text/main/docs/examples/formula.jpg',
# 'https://raw.githubusercontent.com/breezedeus/Pix2Text/main/docs/examples/math-formula-42.png',
# ]
# images = [download_img(img_fp) for img_fp in image_fps]
# p2t = Pix2Text.from_config()
# outs = p2t.recognize_formula(images, return_text=True) # recognize pure formula images
# print('outs for pure formula images', outs)
# mixed_img_fp = 'https://raw.githubusercontent.com/breezedeus/Pix2Text/main/docs/examples/en1.jpg'
# mixed_img = download_img(mixed_img_fp)
# outs2 = p2t.recognize(mixed_img, file_type='text_formula', return_text=True, save_analysis_res='en1-out.jpg') # recognize mixed images
# print(outs2)
# from IPython.display import display
# display(Image.open('en1-out.jpg'))