code.txt

import os
import random
import shutil
from concurrent.futures import ThreadPoolExecutor

# Define paths
dataset_folder = 'path/to/dataset'
train_folder = os.path.join(dataset_folder, 'train')
val_folder = os.path.join(dataset_folder, 'validation')

# Create validation folder if it doesn't exist
os.makedirs(val_folder, exist_ok=True)

# Get all label folders inside train folder
label_folders = [f for f in os.listdir(train_folder) if os.path.isdir(os.path.join(train_folder, f))]

# Function to move images from a specific label folder
def process_label_folder(label_folder, num_threads):
    train_label_folder = os.path.join(train_folder, label_folder)
    val_label_folder = os.path.join(val_folder, label_folder)

    # Create corresponding validation label folder
    os.makedirs(val_label_folder, exist_ok=True)

    # Get all images in the train/label_folder
    all_images = os.listdir(train_label_folder)
    total_images = len(all_images)

    # Calculate 20% of images for validation
    val_size = int(total_images * 0.2)

    # Randomly select 20% of the images for validation
    val_images = random.sample(all_images, val_size)

    # Function to move a single image
    def move_image(image):
        src = os.path.join(train_label_folder, image)
        dest = os.path.join(val_label_folder, image)
        shutil.move(src, dest)

    # Use ThreadPoolExecutor to move images in parallel
    with ThreadPoolExecutor(max_workers=num_threads) as executor:
        executor.map(move_image, val_images)

    print(f"Moved {val_size} images from {label_folder} to validation folder.")

# Main function to get user input for number of threads and process folders
def main():
    # Ask user for the number of threads
    num_threads = int(input("Enter the number of threads to use: "))

    # Process each label folder using the input number of threads
    for label_folder in label_folders:
        process_label_folder(label_folder, num_threads)

    print("Validation dataset created.")

if __name__ == "__main__":
    main()