EZ签到（F5隐写+拼图）

得到nizhenbuhuiyiweizheshiqiandaoba
解压flag.zip

因为拼图要修改像素大小一致，所以改成40*40

import os
from PIL import Image, ImageOps
from collections import defaultdict
from tqdm import tqdm


IMG_DIR = r"C:\Temp\flag"
RESIZE_MODE = "fill"  # 调整模式：fill=等比填充, crop=居中裁剪, stretch=强制拉伸
BG_COLOR = (255, 255, 255)  # 填充模式下的背景色（RGB格式）


def get_image_dimensions(img_path):
    """安全获取图片尺寸"""
    try:
        with Image.open(img_path) as img:
            return img.size
    except Exception as e:
        print(f"无法读取 {img_path}: {str(e)}")
        return None


def analyze_dimensions():
    """统计分析图片尺寸分布"""
    dimension_counts = defaultdict(int)
    valid_images = []

    for filename in tqdm(os.listdir(IMG_DIR), desc="分析图片"):
        if filename.lower().split(".")[-1] not in ("jpg", "jpeg", "png", "webp"):
            continue

        path = os.path.join(IMG_DIR, filename)
        dim = get_image_dimensions(path)
        if dim:
            dimension_counts[dim] += 1
            valid_images.append((path, dim))

    if not dimension_counts:
        raise ValueError("未找到有效图片文件")

    # 获取最高频尺寸
    target_dim = max(dimension_counts.items(), key=lambda x: x[1])[0]
    print(f"最高频尺寸: {target_dim} (出现次数: {dimension_counts[target_dim]})")
    return target_dim, valid_images


def resize_image(img_path, target_dim):
    """按指定模式调整图片尺寸"""
    try:
        img = Image.open(img_path)
        if img.size == target_dim:
            return

        if RESIZE_MODE == "stretch":
            img = img.resize(target_dim, Image.LANCZOS)
        elif RESIZE_MODE == "crop":
            img = ImageOps.fit(
                img, target_dim, method=Image.LANCZOS, centering=(0.5, 0.5)
            )
        else:  # 默认填充模式
            ratio = max(target_dim[0] / img.width, target_dim[1] / img.height)
            new_size = (int(img.width * ratio), int(img.height * ratio))
            img = img.resize(new_size, Image.LANCZOS)

            # 创建画布并居中粘贴
            canvas = Image.new("RGB", target_dim, BG_COLOR)
            offset = (
                (target_dim[0] - new_size[0]) // 2,
                (target_dim[1] - new_size[1]) // 2,
            )
            canvas.paste(img, offset)
            img = canvas

        # 保留原始格式和质量
        format = img.format or "JPEG"
        save_kwargs = {"format": format}
        if format == "JPEG":
            save_kwargs["quality"] = 95
        img.save(img_path, **save_kwargs)
    except Exception as e:
        print(f"处理失败: {img_path} - {str(e)}")


if __name__ == "__main__":
    target_dim, images = analyze_dimensions()

    # 筛选需要调整的图片
    to_resize = [img[0] for img in images if img[1] != target_dim]
    print(f"需要调整的图片数量: {len(to_resize)}")

    # 批量处理
    for path in tqdm(to_resize, desc="调整尺寸"):
        resize_image(path, target_dim)
    print("处理完成！")

使用magick montage *.jpg -tile 10x10 -geometry +0+0 flag.jpg拼成一张图

使用gaps run flag.jpg flagg.jpg --generations=20 --population=20还原


得到结果
R1kzRE1RWldHRTNET04yQ0dRMlRNTUpYSUUzVFNOS0dHVVpUTU9KV0c0M0VLTktHR1E0VE1SSlhJUT09PT09PQ==