Update ocr_engine.py

ocr_engine.py

@@ -1,50 +1,41 @@
-import easyocr
-import numpy as np
 import cv2
+import numpy as np
 import re
-
-reader = easyocr.Reader(['en'], gpu=False)
+from PIL import Image
 
 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)
 
-        # Upscale image
-        gray = cv2.resize(gray, None, fx=4, fy=4, interpolation=cv2.INTER_LINEAR)
-
-        # Histogram Equalization and slight blur
-        gray = cv2.equalizeHist(gray)
-        blurred = cv2.GaussianBlur(gray, (3, 3), 0)
-
-        # Adaptive threshold
-        thresh = cv2.adaptiveThreshold(blurred, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
-                                       cv2.THRESH_BINARY, 11, 2)
+        # Threshold image
+        _, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
 
         # Invert if needed
-        white_ratio = np.mean(thresh > 127)
-        if white_ratio < 0.5:
+        if np.mean(thresh > 127) < 0.5:
             thresh = cv2.bitwise_not(thresh)
 
-        # OCR
-        result = reader.readtext(thresh, detail=0)
-        print("🧠 OCR Raw Output:", result)
-        combined_text = " ".join(result).strip()
+        # Resize to make digits bigger
+        scale_factor = 4
+        resized = cv2.resize(thresh, None, fx=scale_factor, fy=scale_factor, interpolation=cv2.INTER_LINEAR)
+
+        # OCR-style region crop: focus on left part of display
+        height, width = resized.shape
+        digit_region = resized[0:height, 0:int(width * 0.7)]  # ignore 'kg'
+
+        # Use pytesseract as fallback OCR for just digits
+        import pytesseract
+        config = "--psm 7 -c tessedit_char_whitelist=0123456789."
+        result = pytesseract.image_to_string(digit_region, config=config)
+        print("Raw OCR:", result)
 
-        # Extract number
-        match = re.search(r"(\d{1,4}(?:\.\d{1,2})?)", combined_text)
+        match = re.search(r"(\d{1,4}(?:\.\d{1,2})?)", result)
         if match:
-            weight = match.group(1)
-            return f"{weight} kg", 100.0
+            return f"{match.group()} 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