Update ocr_engine.py

ocr_engine.py

@@ -1,29 +1,43 @@
-import pytesseract
+import easyocr
 import numpy as np
 import cv2
 import re
 
+# Initialize OCR reader once
+reader = easyocr.Reader(['en'], gpu=False)
+
 def extract_weight_from_image(pil_img):
     try:
-        # Convert PIL to OpenCV format
+        # Convert image to NumPy format
         img = np.array(pil_img)
 
-        # Resize and convert to grayscale
-        img = cv2.resize(img, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)
+        # Resize and preprocess
+        img = cv2.resize(img, None, fx=3.5, fy=3.5, interpolation=cv2.INTER_LINEAR)
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
+        gray = cv2.bilateralFilter(gray, 11, 17, 17)
+        _, thresh = cv2.threshold(gray, 120, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
+
+        # OCR
+        results = reader.readtext(thresh)
+
+        # Debug
+        print("OCR Results:", results)
+
+        weight_candidates = []
+        for _, text, conf in results:
+            clean = text.lower().replace("kg", "").strip()
+            clean = clean.replace("o", "0").replace("O", "0")  # fix OCR misreads
 
-        # Thresholding for clarity
-        _, thresh = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY_INV)
+            # Match weights like 86, 85.5, 102.3
+            if re.fullmatch(r"\d{2,4}(\.\d{1,2})?", clean):
+                weight_candidates.append((clean, conf))
 
-        # Run OCR
-        text = pytesseract.image_to_string(thresh)
-        print("OCR TEXT:", text)
+        if not weight_candidates:
+            return "Not detected", 0.0
 
-        # Search for weight pattern
-        match = re.search(r"\b\d{2,4}(\.\d{1,2})?\b", text)
-        if match:
-            return match.group(), 99.0
-        return "Not detected", 0.0
+        # Return best candidate
+        best_weight, best_conf = sorted(weight_candidates, key=lambda x: -x[1])[0]
+        return best_weight, round(best_conf * 100, 2)
 
     except Exception as e:
         return f"Error: {str(e)}", 0.0