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import copy |
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import supervision as sv |
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from src.utils import clean_text, draw_ocr_bboxes |
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from src.model import run_example |
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def ocr_task(image): |
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""" |
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Perform OCR (Optical Character Recognition) on the given image. |
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Args: |
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image (PIL.Image.Image): The input image to perform OCR on. |
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Returns: |
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tuple: A tuple containing the output image with OCR bounding boxes drawn and the cleaned OCR text. |
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""" |
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ocr_prompt = "<OCR>" |
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ocr_with_region_prompt = "<OCR_WITH_REGION>" |
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ocr_results = run_example(ocr_prompt, image) |
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cleaned_text = clean_text(ocr_results["<OCR>"]) |
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ocr_with_region_results = run_example(ocr_with_region_prompt, image) |
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output_image = copy.deepcopy(image) |
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detections = sv.Detections.from_lmm( |
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lmm=sv.LMM.FLORENCE_2, result=ocr_with_region_results, resolution_wh=image.size |
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) |
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output_image = draw_ocr_bboxes(image, detections) |
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return output_image, cleaned_text |
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