#!/usr/bin/env python3 """ 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, polling frequency, and select OCR engine. """ import re from OdenGraphQt import BaseNode from PyQt5.QtCore import QTimer from Modules import data_collector class IdentificationOverlayNode(BaseNode): __identifier__ = "bunny-lab.io.identification_overlay_node" NODE_NAME = "Identification Overlay" def __init__(self): super(IdentificationOverlayNode, self).__init__() # User-configurable options 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") # 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)) data_collector.start_collector() self.set_name("Identification Overlay") # Timer for updating overlays self.timer = QTimer() self.timer.timeout.connect(self.update_overlay) # Set initial polling frequency self.update_polling_frequency() def update_polling_frequency(self): """ Reads the user-defined polling frequency and updates the timer interval. """ polling_text = self.get_property("polling_freq") try: polling_interval = max(50, int(polling_text)) # Minimum 50ms for near real-time except ValueError: polling_interval = 500 # Default to 500ms self.timer.start(polling_interval) def update_overlay(self): """ Updates the overlay with detected word positions. """ 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() # Parse user-defined offset try: offset_x, offset_y = map(int, offset_text.split(",")) except ValueError: offset_x, offset_y = 0, 0 # Default to no offset if invalid input # Parse user-defined margin try: margin = int(margin_text) except ValueError: margin = 5 # Default margin if invalid input if not search_term: return # 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))