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--- |
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language: |
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- fa |
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library_name: hezar |
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tags: |
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- image-to-text |
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- hezar |
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datasets: |
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- hezarai/persian-license-plate-v1 |
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pipeline_tag: image-to-text |
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base_model: |
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- hezarai/crnn-fa-printed-96-long |
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--- |
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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) |
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on the [Persian license plate dataset (v1)](https://huggingface.co/datasets/hezarai/persian-license-plate-v1). |
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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. |
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## Usage |
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``` |
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pip install hezar |
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``` |
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```python |
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from hezar.models import Model |
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model = Model.load("hezarai/crnn-fa-printed-96-long") |
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plate_text = model.predict("assets/license_plate_ocr_example.jpg") |
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print(plate_text) # Persian text of mixed numbers and characters might not show correctly in the console |
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``` |
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``` |
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['۵۷س۷۷۹۷۷'] |
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``` |