import os
import cv2
import glob

def downsample_image(image_path):
    # 读取图像
    img = cv2.imread(image_path)
    if img is None:
        print(f"Error reading image: {image_path}")
        return None
    
    # 获取原始尺寸
    h, w = img.shape[:2]
    
    # 下采样到一半大小
    resized = cv2.resize(img, (w//2, h//2), interpolation=cv2.INTER_CUBIC)
    
    return resized

def process_folders():
    # 定义需要处理的文件夹
    folders = [
        'DIV2K_train_EDGE_disturbed',
        'DIV2K_train_HR',
        'DIV2K_train_LR_bicubic/X1'  # LR_bicubic中的图像在X1子文件夹中
    ]
    
    # 需要处理的图片名称
    target_images = ['wb1.jpg', 'wb2.jpg', 'wb3.jpg']
    
    for folder in folders:
        print(f"\n处理文件夹: {folder}")
        
        # 处理每个目标图片
        for img_name in target_images:
            img_path = os.path.join(folder, img_name)
            if os.path.exists(img_path):
                print(f"处理图片: {img_path}")
                # 下采样图片
                resized = downsample_image(img_path)
                if resized is not None:
                    # 直接覆盖原图片
                    cv2.imwrite(img_path, resized)
                    print(f"已完成下采样: {img_path}")
            else:
                print(f"找不到图片: {img_path}")

if __name__ == '__main__':
    process_folders()