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BytesAgainBytesAgain
🦀 ClawHub

bg-remover

by @jxhgzs

Remove, replace, or blur image backgrounds using AI-powered segmentation (rembg/U2-Net). Use when the user asks to: (1) remove image background / make transp...

Versionv1.0.0
Downloads474
TERMINAL
clawhub install bg-remover

📖 About This Skill


name: bg-remover description: "Remove, replace, or blur image backgrounds using AI-powered segmentation (rembg/U2-Net). Use when the user asks to: (1) remove image background / make transparent, (2) replace background with a color or another image, (3) blur background like portrait mode, (4) cut out / extract foreground subject from a photo. Triggers on keywords like 抠图, 去背景, 换背景, 背景模糊, 透明背景, remove background, replace background, blur background, cutout."

bg-remover — 图片背景处理

基于 rembg (U2-Net) 的本地 AI 抠图工具,支持去除背景、替换背景、背景模糊。

依赖安装

首次使用前运行安装脚本:

bash {baseDir}/scripts/install.sh

或手动安装:pip install rembg Pillow numpy onnxruntime

命令

所有操作通过 {baseDir}/scripts/bg_remove.py 执行:

去除背景(输出透明 PNG)

python3 {baseDir}/scripts/bg_remove.py remove  [-o output.png]

替换背景

# 纯色背景(支持 hex、rgb、颜色名)
python3 {baseDir}/scripts/bg_remove.py replace  -c "#FF0000" [-o output.png]
python3 {baseDir}/scripts/bg_remove.py replace  -c white [-o output.png]

图片背景

python3 {baseDir}/scripts/bg_remove.py replace -i bg.jpg [-o output.png]

背景模糊(人像模式)

python3 {baseDir}/scripts/bg_remove.py blur  [-r 15] [-o output.png]

-r 控制模糊半径,值越大越模糊,默认 15。

输出

  • 默认输出路径为原文件名加后缀:_nobg.png(去除)、_newbg.png(替换)、_blur.png(模糊)
  • 所有输出均为 PNG 格式
  • 使用 -o 参数自定义输出路径
  • 注意事项

  • 首次运行会自动下载 U2-Net 模型(约 170MB),需要网络
  • 处理大图可能较慢,建议先缩小再处理
  • 抠图效果取决于前景与背景的对比度,简洁背景效果更好