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paran3xus
/
typress_ocr

Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
trocr
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Typst Equation OCR Model

A pretrained TrOCR model for Typst equation OCR tasks.

Usage

Using transformers 

from PIL import Image
from transformers import TrOCRProcessor, VisionEncoderDecoderModel

processor = TrOCRProcessor.from_pretrained("paran3xus/typst_eq_ocr")
model = VisionEncoderDecoderModel.from_pretrained('paran3xus/typst_eq_ocr')

image_fps = [
    'testimg/1.png',
]
images = [Image.open(fp).convert('RGB') for fp in image_fps]
pixel_values = processor(images=images, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)
[print(i) for i in generated_text]

Using Typress Client with Web Frontend

Check: https://github.com/ParaN3xus/typress

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