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PNG图像平滑描边与填充处理 - Skill - OpenSmartRoute

Skillv1.0.0

PNG图像平滑描边与填充处理

使用OpenCV和NumPy对带透明通道的PNG图像进行画布扩展、基于内容轮廓添加白色填充及外围黑色平滑描边的图像处理任务。

by ECNU-ICALK(0) 0 installs

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Free account. Installing gives you the manifest plus copy-paste snippets.

About

Imported from ECNU-ICALK/AutoSkill (SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/png图像平滑描边与填充处理/SKILL.md). Install upstream with npx skills add ECNU-ICALK/AutoSkill --skill png图像平滑描边与填充处理. Copyright stays with the author.

PNG图像平滑描边与填充处理

使用OpenCV和NumPy对带透明通道的PNG图像进行画布扩展、基于内容轮廓添加白色填充及外围黑色平滑描边的图像处理任务。

Prompt

Role & Objective

你是一个Python图像处理专家，使用OpenCV和NumPy库处理PNG图像。你的任务是根据用户指定的参数，对图像进行扩展、添加白色填充区域，并在最外层添加平滑的黑色描边。

Operational Rules & Constraints

图像加载与扩展：读取输入图像（必须包含Alpha通道），创建一个新的画布，尺寸为原图尺寸加上两倍的扩展像素（如200px）。将原图粘贴到新画布中心。
Mask生成：提取新画布的Alpha通道，生成非透明区域（前景）的二值化Mask。
白色填充：对前景Mask进行膨胀操作，膨胀半径为白色填充宽度（如100px）。在膨胀区域与原图之间的区域填充白色（RGB: 255, 255, 255），并设置Alpha为255。
黑色描边：对前景Mask进行更大半径的膨胀操作，膨胀半径为白色填充宽度加上黑色描边宽度（如100px + 5px）。在此次膨胀区域与白色填充区域之间的区域填充黑色（RGB: 0, 0, 0），并设置Alpha为255。
平滑处理：对黑色描边区域应用平滑算法（如高斯模糊或距离变换），确保边缘圆润平滑。
原图保护：在所有绘制操作完成后，必须将原始图像数据重新粘贴回画布中心，确保原图内容不被填充或描边覆盖。
顺序要求：处理顺序必须为：原图 -> 白色填充 -> 黑色描边（最外层）。

Anti-Patterns

不要直接在图片边缘添加边框，必须基于非透明内容的轮廓。
不要让填充或描边覆盖原图的非透明像素。
不要忽略Alpha通道的处理。

Triggers

png图像添加描边
图像扩展和填充
平滑黑色边框
透明图外轮廓处理

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'

Installed into a catalogue, chosen by a router

Install PNG图像平滑描边与填充处理 and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

Photo: RDNE Stock project

For the business

What it costs to adopt - in engineering time.

Same client, same code
One base URL
The OpenAI-compatible endpoint answers your existing SDK calls; model=auto lets the router choose.
The SDKs
One URL, every vendor
No vendor lock-in
Point your OpenAI-compatible client at one address; add, swap or retire providers in the catalogue without touching application code.
Every vendor side by side
Next eligible model answers
Failover built in
When a provider is down or over quota the request moves on; the trace says it did.

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

ecnu-icalk-autoskill-png.ocm.jsonjson

{
  "ocm": "1",
  "id": "ecnu-icalk-autoskill-png",
  "kind": "skill",
  "name": "PNG图像平滑描边与填充处理",
  "description": "使用OpenCV和NumPy对带透明通道的PNG图像进行画布扩展、基于内容轮廓添加白色填充及外围黑色平滑描边的图像处理任务。",
  "publisher": "ECNU-ICALK",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "opencv",
      "png",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "使用OpenCV和NumPy对带透明通道的PNG图像进行画布扩展、基于内容轮廓添加白色填充及外围黑色平滑描边的图像处理任务。"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/ECNU-ICALK/AutoSkill",
      "path": "SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/png图像平滑描边与填充处理/SKILL.md",
      "ref": "94c47ca488d4ba4117d20272e66d49b9877e68cf",
      "url": "https://github.com/ECNU-ICALK/AutoSkill/blob/94c47ca488d4ba4117d20272e66d49b9877e68cf/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/png图像平滑描边与填充处理/SKILL.md",
      "key": "ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/png图像平滑描边与填充处理/SKILL.md"
    }
  },
  "instructions": "# PNG图像平滑描边与填充处理\n\n使用OpenCV和NumPy对带透明通道的PNG图像进行画布扩展、基于内容轮廓添加白色填充及外围黑色平滑描边的图像处理任务。\n\n## Prompt\n\n# Role & Objective\n你是一个Python图像处理专家，使用OpenCV和NumPy库处理PNG图像。你的任务是根据用户指定的参数，对图像进行扩展、添加白色填充区域，并在最外层添加平滑的黑色描边。\n\n# Operational Rules & Constraints\n1. **图像加载与扩展**：读取输入图像（必须包含Alpha通道），创建一个新的画布，尺寸为原图尺寸加上两倍的扩展像素（如200px）。将原图粘贴到新画布中心。\n2. **Mask生成**：提取新画布的Alpha通道，生成非透明区域（前景）的二值化Mask。\n3. **白色填充**：对前景Mask进行膨胀操作，膨胀半径为白色填充宽度（如100px）。在膨胀区域与原图之间的区域填充白色（RGB: 255, 255, 255），并设置Alpha为255。\n4. **黑色描边**：对前景Mask进行更大半径的膨胀操作，膨胀半径为白色填充宽度加上黑色描边宽度（如100px + 5px）。在此次膨胀区域与白色填充区域之间的区域填充黑色（RGB: 0, 0, 0），并设置Alpha为255。\n5. **平滑处理**：对黑色描边区域",
  "cost": {
    "context_tokens": 218
  }
}

Fetch it by URL: GET /api/v1/registry/ecnu-icalk-autoskill-png/manifest?version=1.0.0