LRGeneration.py

import os

import cv2

# Directory containing high-resolution images
input_dir = "in"
# Directory to save output images
output_dir = "outLR"

# Get filenames of all high-res images in input directory
input_filenames = os.listdir(input_dir)

# Iterate over each image file
for i, filename in enumerate(input_filenames, start=2):
    # Load the high-res image
    print("i", i)
    print("filename", filename)

    img = cv2.imread(os.path.join(input_dir, filename))

    # Downsample using bicubic interpolation
    img_downsampled = cv2.resize(
        img, None, fx=0.25, fy=0.25, interpolation=cv2.INTER_CUBIC)
    # Save the downsampled image with filename based on index
    output_filename = f"{i:04}.png"
    cv2.imwrite(os.path.join(output_dir, output_filename), img_downsampled)