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Update ocr_engine.py
Browse files- ocr_engine.py +9 -12
ocr_engine.py
CHANGED
@@ -1,24 +1,21 @@
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from transformers import
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from PIL import Image
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import re
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# Load
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processor =
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model = VisionEncoderDecoderModel.from_pretrained("
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def extract_weight(image: Image.Image) -> str:
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image = image.convert("RGB")
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pixel_values = processor(image, return_tensors="pt").pixel_values
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decoded = processor.batch_decode(outputs, skip_special_tokens=True)[0]
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# Extract weight number
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cleaned = decoded.lower().replace(" ", "")
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match = re.search(r"(\d+(\.\d+)?)", cleaned)
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weight = match.group(1) if match else None
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# Smart unit detection
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if any(u in cleaned for u in ["kg", "kgs", "kilogram", "kilo"]):
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unit = "kg"
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elif any(u in cleaned for u in ["g", "gram", "grams"]):
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@@ -26,4 +23,4 @@ def extract_weight(image: Image.Image) -> str:
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else:
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unit = "kg" if weight and float(weight) >= 5 else "grams"
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return f"{weight} {unit}" if weight else "
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from transformers import TrOCRProcessor, VisionEncoderDecoderModel
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from PIL import Image
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import re
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# Load smaller/faster model
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processor = TrOCRProcessor.from_pretrained("microsoft/trocr-small-printed")
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model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-small-printed")
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def extract_weight(image: Image.Image) -> str:
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image = image.convert("RGB")
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pixel_values = processor(images=image, return_tensors="pt").pixel_values
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generated_ids = model.generate(pixel_values, max_length=32)
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full_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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cleaned = full_text.lower().replace(" ", "")
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match = re.search(r"(\d+(\.\d+)?)", cleaned)
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weight = match.group(1) if match else None
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if any(u in cleaned for u in ["kg", "kgs", "kilogram", "kilo"]):
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unit = "kg"
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elif any(u in cleaned for u in ["g", "gram", "grams"]):
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else:
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unit = "kg" if weight and float(weight) >= 5 else "grams"
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return f"{weight} {unit}" if weight else ""
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