Skills pixel-art-processing
git clone https://github.com/openclaw/skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/anlinxi/pixel-art-processing" ~/.claude/skills/clawdbot-skills-pixel-art-processing && rm -rf "$T"
skills/anlinxi/pixel-art-processing/SKILL.mdPixel Art Processing / 像素美术处理
[!NOTE] This skill is based on FrameRonin (https://github.com/systemchester/FrameRonin). All core algorithms and workflows are derived from the FrameRonin project.
Overview / 概述
This skill provides a complete pixel art / sprite sheet processing pipeline:
| 功能 / Feature | 描述 / Description |
|---|---|
| 🎬 视频转序列帧 | Extract frames from video → matting → sprite sheet合成 |
| 🔄 GIF ↔ 序列帧 | GIF拆帧 / 序列帧合成GIF |
| 🖼️ 多图合成单图 | Multiple images → single sprite sheet |
| ✂️ 单图拆分 | Split single image into grid frames |
| 🖌️ 简易拼接 | Simple vertical/horizontal/overlay stitching |
| 🗑️ 抠图 (AI) | rembg AI background removal |
| 📐 缩放/裁切 | Resize, crop, padding |
| 🔲 像素化 | Pixelation effect |
| 💧 色度键抠图 | Green/blue screen chroma keying |
| 🚫 Gemini水印去除 | Remove Gemini visible watermark |
| ⚔️ RPGMAKER处理 | One-click RPG Maker sprite workflow |
| 🎥 Seedance水印去除 | Remove Seedance/即梦 video watermark |
Quick Start / 快速开始
1. Deploy Backend / 部署后端
# Docker部署(推荐 / Recommended) cd <skill>/scripts docker-compose up -d # 或手动部署 / Or manual: pip install -r requirements.txt python run_api.py
后端地址 / Backend URL:
http://localhost:8000
API文档 / API docs: http://localhost:8000/docs
2. Start Worker / 启动Worker
# 需要Redis / Redis required rq worker pixelwork --url redis://localhost:6379/0
Core Concepts / 核心概念
Sprite Sheet Layout / Sprite Sheet布局
┌────┬────┬────┬────┐ │ 0 │ 1 │ 2 │ 3 │ row=0 ├────┼────┼────┼────┤ │ 4 │ 5 │ 6 │ 7 │ row=1 ├────┼────┼────┼────┤ │ 8 │ 9 │ ..│ .. │ └────┴────┴────┴────┘ Index JSON: { i, x, y, w, h, t } i = frame index x, y = position on sheet w, h = frame size t = timestamp (seconds)
Processing Modes / 处理模式
- tight_bbox: 紧贴alpha边界裁切 / Crop tightly to alpha boundary
- safe_bbox: alpha边界+padding / Alpha boundary + padding margin
- none: 不裁切 / No crop
API Reference / API参考
详见 / See: references/api.md
Client-side Processing / 客户端处理
对于 GIF/序列帧转换等纯前端功能,使用浏览器Canvas API直接处理:
For pure client-side features like GIF/frames conversion, use browser Canvas API directly:
scripts/ ├── client_gif_processor.html # GIF拆帧/合成 - 浏览器直接运行 ├── sprite_split.html # Sprite sheet拆分 - 浏览器直接运行 └── image_processor.html # 图像基本处理 - 浏览器直接运行
直接在浏览器打开这些HTML文件即可使用。
Open these HTML files directly in browser to use.
RPG Maker Workflow / RPG Maker 工作流
详见 / See: references/rpgmaker.md
Sprite Sheet Math / Sprite Sheet 数学
详见 / See: references/sprite_math.md
Algorithm Details / 算法细节
透明行列检测 / Transparent Row/Column Detection
用于超级拆分:按透明行/列智能切割图像。
Used for super-split: intelligently cuts image by transparent rows/columns.
// 找出完全透明的行索引 // Find fully transparent rows function findTransparentRows(imageData) { const { data, width, height } = imageData const rows = [] for (let y = 0; y < height; y++) { let allTransparent = true for (let x = 0; x < width; x++) { if (data[(y * width + x) * 4 + 3] !== 0) { allTransparent = false break } } if (allTransparent) rows.push(y) } return rows }
Alpha边界框 / Alpha Bounding Box
function getAlphaBbox(img) { // 返回 {x1, y1, x2, y2} 或 null // Returns {x1, y1, x2, y2} or null }
连通域检测 / Connected Component
用于超级橡皮等工具:按连通域+容差选区。
Used for super eraser: select by connected component + tolerance.
FFmpeg Integration / FFmpeg集成
视频帧提取依赖 ffprobe/ffmpeg:
Video frame extraction requires ffprobe/ffmpeg:
# 提取帧 / Extract frames ffmpeg -y -ss <timestamp> -i video.mp4 -vframes 1 output.png # 获取视频信息 / Get video info ffprobe -v quiet -print_format json -show_format -show_streams video.mp4
Dependencies / 依赖
Backend / 后端
- FastAPI >= 0.104.0
- PIL/Pillow >= 10.0.0
- rembg >= 2.0.50 (u2net model)
- ffmpeg-python >= 0.2.0
- opencv-python-headless >= 4.8.0
- Redis + RQ (for async jobs)
Frontend / 前端
- gifuct-js (GIF拆帧)
- gifenc (GIF编码)
- jszip (批量下载)
- React + Ant Design
Feature Flags / 特性开关
| 功能 | 路径 |
|---|---|
| NFT门槛 | frontend/src/config/features.ts → RONIN_PRO_REQUIRE_NFT |
| Ronin登录 | frontend/src/auth/context.tsx |
| Gemini链接 | frontend/src/config/gemini.ts |
Deploy to Remote / 远程部署
# 1. 构建前端 / Build frontend cd frontend && npm install && npm run build # 2. 配置Nginx / Nginx config # See nginx.conf in references/ # 3. 启动后端 / Start backend uvicorn app.main:app --host 0.0.0.0 --port 8000 # 4. Docker完整部署 / Full Docker deploy docker-compose -f docker-compose.yml up -d
Credits / 致谢
- FrameRonin by systemchester: https://github.com/systemchester/FrameRonin
- rembg for AI matting: https://github.com/danielgatis/rembg
- gifuct-js / gifenc for GIF processing