Optimized OCR Engine Initialization to only take place after a node that uses OCR is created.

Data/Modules/data_collector.py

@@ -20,10 +20,15 @@ from PyQt5.QtCore import QRect, QPoint, Qt, QMutex, QTimer
 from PyQt5.QtGui import QPainter, QPen, QColor, QFont
 
 # Initialize EasyOCR with CUDA support
+reader_cpu = None
+reader_gpu = None
+
+def initialize_ocr_engines():
+    global reader_cpu, reader_gpu
     reader_cpu = easyocr.Reader(['en'], gpu=False)
     reader_gpu = easyocr.Reader(['en'], gpu=True if torch.cuda.is_available() else False)
 
-pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
+pytesseract.pytesseract.tesseract_cmd = r"C:\\Program Files\\Tesseract-OCR\\tesseract.exe"
 
 DEFAULT_WIDTH = 180
 DEFAULT_HEIGHT = 130
@@ -59,7 +64,6 @@ def create_ocr_region(region_id, x=250, y=50, w=DEFAULT_WIDTH, h=DEFAULT_HEIGHT,
     Creates an OCR region with a visible, resizable box on the screen.
     Allows setting custom color (RGB) and line thickness.
     """
-
     _ensure_qapplication()
     
     collector_mutex.lock()
@@ -73,7 +77,6 @@ def create_ocr_region(region_id, x=250, y=50, w=DEFAULT_WIDTH, h=DEFAULT_HEIGHT,
     }
     collector_mutex.unlock()
 
-
 def get_raw_text(region_id):
     collector_mutex.lock()
     if region_id not in regions:
@@ -83,12 +86,11 @@ def get_raw_text(region_id):
     collector_mutex.unlock()
     return text
 
-
 def start_collector():
+    initialize_ocr_engines()
     t = threading.Thread(target=_update_ocr_loop, daemon=True)
     t.start()
 
-
 def _update_ocr_loop():
     while True:
         collector_mutex.lock()
@@ -112,7 +114,6 @@ def _update_ocr_loop():
 
         time.sleep(0.7)
 
-
 def _preprocess_image(image):
     gray = image.convert("L")
     scaled = gray.resize((gray.width * 3, gray.height * 3))