onnxocr-ppocrv5

import os from onnxocr_ppocrv5 import OnnxOCR # NOTE: Replace with a path to your actual image file # For demonstration, we assume an image 'example.png' exists in the current directory # In a real application, you might download or provide an actual image path. image_path = os.environ.get('OCR_IMAGE_PATH', 'example.png') # The first initialization will automatically download necessary models (~300-500 MB) # This requires an internet connection and can take some time. print("Initializing OnnxOCR model... (models will download on first run)") ocr = OnnxOCR() print("OCR model initialized.") # Perform OCR on an image file path # Ensure the image_path points to a valid image accessible by the script. if os.path.exists(image_path): try: result = ocr(image_path) print("OCR Result:") for box_info in result: # Each box_info is a dictionary with 'box' and 'text' print(f" Text: {box_info['text']}, Box: {box_info['box']}") except Exception as e: print(f"Error performing OCR: {e}") print("Please ensure the image_path is valid and the image is not corrupt.") else: print(f"Error: Image file not found at '{image_path}'. Please provide a valid image path.")