Created projectTheia file

sorter/projectTheia.py

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+import shutil
+import cv2
+import pytesseract
+from pathlib import Path
+import numpy as np
+
+def recognize_numbers(image_path,pass_folder,reject_folder):
+    # Load the image using OpenCV
+    image = cv2.imread(image_path)
+    
+    # Preprocess the image (convert to grayscale and apply thresholding)
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    _, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
+    
+    # Perform text extraction using Tesseract OCR
+    text = pytesseract.image_to_string(binary, config='--psm 6')
+    
+    # Filter out non-numeric characters
+    numbers = ''.join(filter(str.isdigit, text))
+    
+    return numbers
+
+# Usage
+image_path = '../InCMSImages'
+result = recognize_numbers(image_path)
+print('Recognized numbers:', result)