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滑块验证图片匹配 bg_w, bg_h, bg_ch, bg_rows = decode_png(bg_path) bk_w, bk_h, bk_ch, bk_rows = decode_png(block_path) if bg_ch != 3: raise ValueError("background.png 需要是 RGB 图") if bk_ch != 4: raise ValueError("block.png 需要是 RGBA 图") bg_gray = to_gray(bg_rows, bg_ch) bk_gray = to_gray(bk_rows, bk_ch) bk_mask = alpha_mask(bk_rows, bk_ch) tpl_gray, tpl_mask = crop_by_mask(bk_gray, bk_mask) bg_edges = edge_map(bg_gray) tpl_edges = edge_map(tpl_gray) x, y, score = find_best_position(bg_edges, tpl_edges, tpl_mask) print(f"背景图尺寸: {bg_w}x{bg_h}") print(f"滑块图尺寸: {bk_w}x{bk_h}") print(f"缺口左上角坐标: ({x}, {y})") print(f"建议滑动距离(像素): {x}") print(f"匹配误差(越小越好): {score:.2f}") if __name__ == "__main__": main() 核心原理本质是：把滑块图当“模板”，在背景图里滑动对比，找到误差最小的位置。参考实现都在 main.py分步骤对应你看到的图片step_01 灰度化 把 RGB 转灰度，减少颜色维度干扰，只保留亮度结构。step_02 Alpha 掩码 从 block.png 的透明通道提取有效像素（非透明=1，透明=0），只比较有意义区域。step_03 背景边缘图 对背景灰度图做简易梯度（和左/上像素差分），突出轮廓。step_04 模板边缘图 对裁剪后的滑块模板做同样边缘处理，保证比较口径一致。模板匹配（关键） 在背景每个候选 (x,y) 上，按掩码点计算 SSE 误差：[score(x,y)=\frac{1}{N}\sum (bg\_edgey+py-tpl\_edgepy)^2]取 score 最小的位置作为缺口位置。step_05 / step_06 可视化 step_05 画匹配框；step_06 把滑块半透明叠加到匹配位置，验证直观效果。 -
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某牛某客专栏文章爬虫 代码已脱敏，自行替换# @Time : 2023/10/8 14:43 # @Author : Lan # @File : niukespider.py # @Software: PyCharm import time import requests def get_category(catalog='10klpm'): url = f'https://www.lanol.cn.com/content/zhuanlan/index/catalog/{catalog}' return requests.get(url).json() c = """ <!doctype html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0"> <meta http-equiv="X-UA-Compatible" content="ie=edge"> <title>Document</title> </head> <body> {{content}} </body> </html> """ def get_content(catalog, entity): url = f'https://www.lanol.cn.com/content/zhuanlan/index/detail/{catalog}/{entity}?_={int(time.time() * 1000)}' return requests.get(url, headers={ 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36' }).json() if __name__ == '__main__': catalog = 'Gj5x2m' for i in get_category(catalog)['data']['catalog']: content = get_content(catalog, i['uuid'])['data'] with open('./docs/' + i['title'].replace('/', '-') + '.html', 'w', encoding='utf-8') as f: f.write(c.replace('{{content}}', content['content']))
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Debian11安装部署stable-diffusion-webui记录 开机从AutoDL开了一台A500的机器，按量计费，每个小时一块。开启学术加速根据自己机器地区https://www.autodl.com/docs/network_turbo/安装环境更好包列表apt update apt upgrade# Debian-based: sudo apt install wget git python3 python3-venv # Red Hat-based: sudo dnf install wget git python3 # Arch-based: sudo pacman -S wget git python3一键脚本bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh) -f
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