from paddleocr import SealTextDetection
import os

def debug_paddle():
    img_path = "seal_cropped.png"
    if not os.path.exists(img_path):
        print(f"Error: {img_path} not found")
        return

    print(f"Loading SealTextDetection model on {img_path}...")
    try:
        model = SealTextDetection(model_name="PP-OCRv4_server_seal_det")
        output = model.predict(img_path, batch_size=1)
        
        print(f"Output type: {type(output)}")
        for i, res in enumerate(output):
            print(f"Result {i} attributes: {dir(res)}")
            res.print()
            # Try to see if it has boxes or polygons
            if hasattr(res, 'boxes'):
                print(f"Boxes found: {len(res.boxes)}")
            if hasattr(res, 'polygons'):
                print(f"Polygons found: {len(res.polygons)}")
            
            # Save to see what it does
            res.save_to_img(save_path="./debug_output")
            print("Saved debug image to ./debug_output")
            
    except Exception as e:
        print(f"Caught Exception: {e}")
        import traceback
        traceback.print_exc()

if __name__ == "__main__":
    debug_paddle()