logger2 / ocr_engine.py
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from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image
import torch
import re
# Load TrOCR model and processor
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
def extract_weight(image):
try:
# Step 1: OCR with TrOCR
pixel_values = processor(images=image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)
text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
print("OCR Output:", text)
# Step 2: Search for weight pattern (g or kg)
pattern = r'(\d{1,5}(?:\.\d{1,3})?)\s*(kg|g)' # e.g., 75.25 g, 98.78kg
match = re.search(pattern, text.lower())
if match:
value = match.group(1)
unit = match.group(2)
return f"{value} {unit}"
else:
return "No valid weight found"
except Exception as e:
return f"Error: {str(e)}"