摘要：数据集中部分图片不含待分割的目标，如果不想用这部分来训练，可以通过一段代码剔除。

from PIL import Image
import cv2
import osdef extract_mask_and_original(mask_path, original_path, output_folder):# 读取黑白掩码图片和同名原图图片mask_image = Image.open(mask_path).convert("L")original_image = Image.open(original_path)has_white_pixel = any(pixel > 0 for pixel in mask_image.getdata())if has_white_pixel:# 提取同名的原图图片original_filename = os.path.basename(mask_path).replace(".png", ".png")original_path = os.path.join(input_image_folder, original_filename)# 保存掩码图片和原图图片output_mask_path = os.path.join(output_folder, os.path.basename(mask_path))output_original_path = os.path.join(output_folder_image, original_filename)mask_image.save(output_mask_path)original_image.save(output_original_path)print(f"已提取掩码和原图：{output_mask_path}，{output_original_path}")else:print(f"掩码中不存在白色像素：{mask_path}")print("提取完成")# 设置输入文件夹和输出文件夹
input_image_folder = r"D:\DDR_png512\val\images"
input_mask_folder = r"D:\DDR_png512\val\masks"output_folder_image = r"D:\DDR_png512tichu\val\images"
output_folder_mask =  r"D:\DDR_png512tichu\val\masks"
# 遍历输入文件夹中的掩码图片
for mask_filename in os.listdir(input_mask_folder):if mask_filename.endswith(".png"):mask_path = os.path.join(input_mask_folder, mask_filename)original_filename = mask_filename.replace(".png", ".png")original_path = os.path.join(input_image_folder, original_filename)extract_mask_and_original(mask_path, original_path, output_folder_mask)