Update ocr_engine.py

ocr_engine.py

@@ -1,40 +1,50 @@
-import pytesseract
+import easyocr
 import numpy as np
 import cv2
 import re
-from PIL import Image
+
+reader = easyocr.Reader(['en'], gpu=False)
 
 def extract_weight_from_image(pil_img):
     try:
         img = np.array(pil_img)
 
+        # Resize image for consistency
+        if img.shape[1] > 1000:
+            img = cv2.resize(img, (1000, int(img.shape[0] * 1000 / img.shape[1])))
+
         # Convert to grayscale
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
 
-        # Resize and enhance
+        # Upscale image
         gray = cv2.resize(gray, None, fx=4, fy=4, interpolation=cv2.INTER_LINEAR)
-        gray = cv2.GaussianBlur(gray, (3, 3), 0)
+
+        # Histogram Equalization and slight blur
         gray = cv2.equalizeHist(gray)
+        blurred = cv2.GaussianBlur(gray, (3, 3), 0)
 
-        # Threshold
-        _, thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+        # Adaptive threshold
+        thresh = cv2.adaptiveThreshold(blurred, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
+                                       cv2.THRESH_BINARY, 11, 2)
 
-        # Invert if dark background
-        if np.mean(thresh > 127) < 0.5:
+        # Invert if needed
+        white_ratio = np.mean(thresh > 127)
+        if white_ratio < 0.5:
             thresh = cv2.bitwise_not(thresh)
 
-        # OCR using Tesseract
-        config = "--psm 6 -c tessedit_char_whitelist=0123456789."
-        text = pytesseract.image_to_string(thresh, config=config)
-        print("🔍 OCR Text:", text)
+        # OCR
+        result = reader.readtext(thresh, detail=0)
+        print("🧠 OCR Raw Output:", result)
+        combined_text = " ".join(result).strip()
 
-        # Extract weight
-        match = re.search(r"\d{1,3}(?:\.\d{1,2})?", text)
+        # Extract number
+        match = re.search(r"(\d{1,4}(?:\.\d{1,2})?)", combined_text)
         if match:
-            weight = match.group()
+            weight = match.group(1)
             return f"{weight} kg", 100.0
         else:
             return "No weight detected kg", 0.0
 
     except Exception as e:
+        print("❌ OCR Error:", e)
         return f"Error: {str(e)}", 0.0