import os
import random
from PIL import Image

input_folder = "Dataset NST\TamilStyleImages"      
output_folder = "resized_output"            
target_size = (256, 256)                    
sample_size = 100                          

os.makedirs(output_folder, exist_ok=True)

image_files = [f for f in os.listdir(input_folder) if f.lower().endswith(('.jpg', '.jpeg', '.png'))]

sampled_files = random.sample(image_files, min(sample_size, len(image_files)))

for i, filename in enumerate(sampled_files, 1):
    input_path = os.path.join(input_folder, filename)
    output_path = os.path.join(output_folder, filename)

    try:
        with Image.open(input_path) as img:
            img_resized = img.resize(target_size, Image.Resampling.LANCZOS)

            img_resized.save(output_path)
        print(f"[{i}/{sample_size}] Processed: {filename}")
    except Exception as e:
        print(f"Failed to process {filename}: {e}")