dataset_tools/done/convert_rgba_to_rgb_in_pngs.py

import os
import glob
import multiprocessing
from PIL import Image

# Set the maximum number of pixels allowed in an image to prevent DecompressionBombWarning.
Image.MAX_IMAGE_PIXELS = 139211472


def convert_rgba_to_rgb(image_path):
    """
    Convert an RGBA image to RGB format.
    """
    try:
        print(f"Opening image: {image_path}")
        with Image.open(image_path) as image:
            print(f"Image mode: {image.mode}")
            if image.mode == "RGBA":
                rgb_image = image.convert("RGB")
                rgb_image.save(image_path)
                print(f"Converted {image_path} to RGB.")
            else:
                print(f"{image_path} is not an RGBA image.")
    except Exception as e:
        print(f"Error processing {image_path}: {e}")


def main():
    """
    Main function to convert all RGBA images to RGB in a directory.
    """
    directory = r"E:\training_dir"
    print(f"Directory set to: {directory}")

    # Get all .png files in the directory recursively
    files = glob.glob(os.path.join(directory, "**", "*.png"), recursive=True)
    print(f"Found {len(files)} .png files in directory and subdirectories.")

    # Determine the number of processes based on the available CPUs
    num_processes = multiprocessing.cpu_count()
    print(f"Number of processes set to the number of available CPUs: {num_processes}")

    # Create a pool of processes
    with multiprocessing.Pool(num_processes) as pool:
        print("Pool of processes created.")
        # Map the convert_rgba_to_rgb function to the files
        pool.map(convert_rgba_to_rgb, files)

    print("Conversion complete.")


if __name__ == "__main__":
    main()