Image AI Kit

v1.0.0

AI图像工具包 - 智能图像处理与增强 | AI Image Kit - Intelligent image processing and enhancement

0· 144·1 current·1 all-time
byLv Lancer@kaiyuelv

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for kaiyuelv/image-ai-kit.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Image AI Kit" (kaiyuelv/image-ai-kit) from ClawHub.
Skill page: https://clawhub.ai/kaiyuelv/image-ai-kit
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install image-ai-kit

ClawHub CLI

Package manager switcher

npx clawhub@latest install image-ai-kit
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Purpose & Capability
Name/description (image enhancement, OCR, smart-crop) align with included Python modules (image_enhancer, image_processor, ocr_engine, smart_crop), tests, and requirements.txt. Required binaries/env vars are none, which is consistent for a library that operates on local image files.
Instruction Scope
SKILL.md instructs only local operations (pip install -r requirements.txt, import and call library functions). The runtime code opens image files provided by the user and saves outputs; there are no instructions to read unrelated system files, environment variables, or to send data to external endpoints.
Install Mechanism
This is an instruction-only skill with a requirements.txt (pip install). There is no custom install script or remote download. Note: pytesseract requires an external Tesseract binary (system package) which SKILL.md doesn't mention; OpenCV and other libraries are pulled from PyPI (standard).
Credentials
No environment variables, credentials, or config paths are requested. The code accesses image files supplied by the user and OpenCV's local haarcascade data (cv2.data.haarcascades), which is appropriate for the stated functionality.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system presence. It does not modify other skills or global agent settings; autonomous invocation is allowed by default (normal for skills) and not combined with other red flags.
Assessment
This package appears coherent and limited to local image processing. Before installing: 1) Verify you trust the repository/source (homepage is provided); run it in a virtualenv or sandbox. 2) Be aware pytesseract is a Python wrapper and requires the Tesseract binary (install via your OS package manager); SKILL.md omits that step. 3) The code operates on files you provide — avoid processing sensitive images unless you trust the environment. 4) Review requirements.txt and consider pinning versions; run the bundled tests to confirm expected behavior. 5) If you need network-isolated execution, run the package in an environment without outbound access — the code has no network calls, but isolation is good practice.

Like a lobster shell, security has layers — review code before you run it.

latestvk97fv85ar335dxbndzqpdkagds834hn9
144downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Image AI Kit - AI图像工具包

智能图像处理解决方案,支持图像增强、风格迁移、智能裁剪和 OCR 文字识别。

核心功能

功能模块说明
图像增强超分辨率、去噪、锐化、色彩增强
智能裁剪自动识别主体,智能裁剪构图
OCR识别文字提取,支持多语言
格式转换支持 JPG/PNG/WebP/HEIC 等格式
批量处理多图像并行处理

快速开始

from scripts.image_enhancer import ImageEnhancer

# 图像增强
enhancer = ImageEnhancer()
enhancer.upscale('input.jpg', 'output.jpg', scale=2)

# OCR识别
from scripts.ocr_engine import OCREngine
ocr = OCREngine()
text = ocr.extract_text('image_with_text.png')

安装

pip install -r requirements.txt

项目结构

image-ai-kit/
├── SKILL.md                 # Skill说明文档
├── README.md                # 完整文档
├── requirements.txt         # 依赖列表
├── scripts/                 # 核心模块
│   ├── image_enhancer.py    # 图像增强器
│   ├── ocr_engine.py        # OCR引擎
│   └── image_utils.py       # 图像工具
├── examples/                # 使用示例
│   └── basic_usage.py
└── tests/                   # 单元测试
    └── test_image.py

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