comic_panel_extractor/inference.py

# inference.py
from .yolo_manager import YOLOManager
from .utils import get_abs_path, get_image_paths
import os
from .config import Config

def run_inference(weights_path: str, images_dirs, output_dir: str = 'temp_dir') -> None:
    """
    Run inference on images using trained model.
    
    Args:
        weights_path: Path to model weights
        images_dirs: Directory or list of directories containing images
        output_dir: Directory to save annotated results
    """
    try:
        # Validate weights file
        weights_path = get_abs_path(weights_path)
        if not os.path.isfile(weights_path):
            raise FileNotFoundError(f"❌ Weights file not found: {weights_path}")
        
        # Get image paths
        image_paths = get_image_paths(images_dirs)
        if not image_paths:
            raise ValueError("❌ No images found in the provided directories.")
        
        print(f"🔍 Found {len(image_paths)} images for inference")
        
        # Initialize YOLO manager and load model
        yolo_manager = YOLOManager()
        yolo_manager.load_model(weights_path)
        
        # Run inference
        yolo_manager.annotate_images(image_paths, output_dir)
        
        print("🎉 Inference completed successfully!")
        
    except Exception as e:
        print(f"❌ Inference failed: {str(e)}")
        raise

def main():
    """Main inference function."""
    weights_path = Config.yolo_trained_model_path
    images_dirs = [
        './dataset/images/train',
        './dataset/images/val', 
        './dataset/images/test'
    ]
    
    run_inference(weights_path, images_dirs, './temp_dir')

def annotate_all_image():
    with YOLOManager() as yolo_manager:
        weights_path = Config.yolo_trained_model_path
        yolo_manager.load_model(weights_path)
        IMAGE_ROOT = os.path.join(Config.current_path, "dataset/images")
        IMAGE_LABEL_ROOT = os.path.join(Config.current_path, "image_labels")
        for root, _, files in os.walk(IMAGE_ROOT):
            for file in sorted(files):
                if file.lower().endswith((".jpg", ".jpeg", ".png")):
                    name, ext = os.path.splitext(file)
                    save_txt_path = os.path.join(IMAGE_LABEL_ROOT, f'{name}.txt')  # YOLO label txt
                    if not os.path.exists(save_txt_path):
                        image_path = os.path.join(root, file)
                        yolo_manager.annotate_images(
                            image_paths=[image_path],
                            output_dir=IMAGE_LABEL_ROOT,
                            save_image=False
                        )

if __name__ == "__main__":
    annotate_all_image()