Update ocr_engine.py

ocr_engine.py

@@ -9,26 +9,26 @@ def extract_weight_from_image(pil_img):
     try:
         img = np.array(pil_img)
 
-        # Grayscale + resize
+        # Convert to grayscale and resize for better clarity
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
         gray = cv2.resize(gray, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)
 
         # Histogram equalization
         gray = cv2.equalizeHist(gray)
 
-        # Adaptive threshold
+        # Adaptive threshold to enhance text
         thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
                                        cv2.THRESH_BINARY, 11, 2)
 
-        # Invert colors (LCD digits are usually dark on light)
+        # Invert for LCD-like contrast
         thresh = cv2.bitwise_not(thresh)
 
-        # OCR
+        # OCR read
         result = reader.readtext(thresh, detail=0)
         combined_text = " ".join(result)
         print("OCR Text:", combined_text)
 
-        # Match weight pattern (e.g. 52.30, 003.2, 250)
+        # Regex to match weight like 25, 46.5, 75.45 etc.
         match = re.search(r"\b\d{2,4}\.?\d{0,2}\b", combined_text)
         if match:
             return match.group(), 95.0