Crnn Fa License Plate Recognition v2

from hezar.models import Model

model = Model.load("hezarai/crnn-fa-license-plate-recognition-v2")
plate_text = model.predict("assets/license_plate_ocr_example.jpg")
print(plate_text)  # Persian text of mixed numbers and characters might not show correctly in the console

['۵۷س۷۷۹۷۷']

--- language: - fa library_name: hezar tags: - image-to-text - hezar datasets: - hezarai/persian-license-plate-v1 pipeline_tag: image-to-text base_model: - hezarai/crnn-fa-printed-96-long --- A robust CRNN-based OCR model for license plate recognition (Persian only)(V2). This model is a finetuned version of [hezarai/crnn-fa-printed-96-long](https://huggingface.co/hezarai/crnn-fa-printed-96-long) on the [Persian license plate dataset (v1)](https://huggingface.co/datasets/hezarai/persian-license-plate-v1). Note that this model only works on a cropped image of a plate, so you have to run an object(license plate) detection model and pass its output to this model to work. ## Usage ``` pip install hezar ``` ```python from hezar.models import Model model = Model.load("hezarai/crnn-fa-license-plate-recognition-v2") plate_text = model.predict("assets/license_plate_ocr_example.jpg") print(plate_text) # Persian text of mixed numbers and characters might not show correctly in the console ``` ``` ['۵۷س۷۷۹۷۷'] ```