import cv2
import numpy as np
import os

image_folder = "masked_loss_training_data/images"
mask_folder = "masked_loss_training_data/conditioning"

image_files = os.listdir(image_folder)
jpg_files = [f for f in image_files if f.endswith('.jpg')]

for file_name in jpg_files:
  img = cv2.imread(os.path.join(image_folder, file_name), cv2.IMREAD_GRAYSCALE)
  _, bw_mask = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
  output_file_path = os.path.join(mask_folder, os.path.splitext(file_name)[0] + '.png')
  cv2.imwrite(output_file_path, bw_mask)