Enabled GPU Acceleration for Identification Node.

Nodes/General Purpose/identification_overlay.py

@@ -3,14 +3,13 @@
 Identification Overlay Node:
 - Creates an OCR region in data_collector with a blue overlay.
 - Detects instances of a specified word and draws adjustable overlays.
-- Users can configure offset, margin, and polling frequency dynamically.
+- Users can configure offset, margin, polling frequency, and select OCR engine.
 """
 
 import re
 from OdenGraphQt import BaseNode
-from PyQt5.QtWidgets import QMessageBox
 from PyQt5.QtCore import QTimer
-from Modules import data_manager, data_collector
+from Modules import data_collector
 
 
 class IdentificationOverlayNode(BaseNode):
@@ -24,7 +23,9 @@ class IdentificationOverlayNode(BaseNode):
         self.add_text_input("search_term", "Search Term", text="Aibatt")
         self.add_text_input("offset_value", "Offset Value (X,Y)", text="0,0")  # X,Y Offset
         self.add_text_input("margin", "Margin", text="5")  # Box Margin
-        self.add_text_input("polling_freq", "Polling Frequency (ms)", text="500")  # New input
+        self.add_text_input("polling_freq", "Polling Frequency (ms)", text="500")  # Polling Rate
+        self.add_combo_menu("ocr_engine", "Type", items=["CPU", "GPU"])
+        self.set_property("ocr_engine", "CPU")  # Set default value after adding the menu
 
         self.region_id = "identification_overlay"
         data_collector.create_ocr_region(self.region_id, x=250, y=50, w=300, h=200, color=(0, 0, 255))
@@ -45,7 +46,7 @@ class IdentificationOverlayNode(BaseNode):
         """
         polling_text = self.get_property("polling_freq")
         try:
-            polling_interval = max(100, int(polling_text))  # Minimum 100ms to avoid overloading
+            polling_interval = max(50, int(polling_text))  # Minimum 50ms for near real-time
         except ValueError:
             polling_interval = 500  # Default to 500ms
 
@@ -58,6 +59,7 @@ class IdentificationOverlayNode(BaseNode):
         search_term = self.get_property("search_term")
         offset_text = self.get_property("offset_value")
         margin_text = self.get_property("margin")
+        ocr_engine = self.get_property("ocr_engine")
 
         # Read and apply polling frequency updates
         self.update_polling_frequency()
@@ -77,8 +79,10 @@ class IdentificationOverlayNode(BaseNode):
         if not search_term:
             return
 
-        # Get detected word positions
-        detected_positions = data_collector.find_word_positions(self.region_id, search_term, offset_x, offset_y, margin)
+        # Get detected word positions using the selected OCR engine
+        detected_positions = data_collector.find_word_positions(
+            self.region_id, search_term, offset_x, offset_y, margin, ocr_engine
+        )
 
         # Draw detected word boxes
         data_collector.draw_identification_boxes(self.region_id, detected_positions, color=(0, 0, 255))