import os

# Define dataset paths
dataset_dirs = ["train", "val", "test"]
base_path = "/path/to/your/dataset"  # Change this to your dataset root directory

# Define class names and their mapping
class_names = ["sunglass", "hat", "headphone"]  # Add more classes as needed

for dataset in dataset_dirs:
    images_path = os.path.join(base_path, dataset, "images")
    labels_path = os.path.join(base_path, dataset, "labels")

    if not os.path.exists(images_path) or not os.path.exists(labels_path):
        print(f"Skipping {dataset}: Missing images or labels directory.")
        continue  # Skip if directories don't exist

    for class_name in class_names:
        count = 1
        image_files = sorted([f for f in os.listdir(images_path) if f.lower().endswith(('.jpg', '.png', '.jpeg'))])

        for filename in image_files:
            label_filename = os.path.splitext(filename)[0] + ".txt"

            # New names
            new_image_name = f"{class_name}_{count}.jpg"
            new_label_name = f"{class_name}_{count}.txt"

            # Rename image
            old_image_path = os.path.join(images_path, filename)
            new_image_path = os.path.join(images_path, new_image_name)

            if not os.path.exists(new_image_path):  # Avoid overwriting
                os.rename(old_image_path, new_image_path)

            # Rename label file if it exists
            old_label_path = os.path.join(labels_path, label_filename)
            new_label_path = os.path.join(labels_path, new_label_name)

            if os.path.exists(old_label_path) and not os.path.exists(new_label_path):
                os.rename(old_label_path, new_label_path)

            count += 1

print("Renaming completed successfully!")