OpenClaw

face-compare

Compare two face images and return similarity score using iFlytek Face Recognition API.

dzy-10260 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install dzy-1026/xfyun-face-compare

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

👤 Face Compare

Compare two face images and calculate their similarity score using iFlytek's advanced face recognition technology.

Designed for identity verification, face matching, and security authentication scenarios.

✨ Features

High-accuracy face comparison
Base64 image encoding support
Multiple image format support (jpg, png, bmp)
Detailed similarity scoring
One-command execution

🚀 Usage

python {baseDir}/scripts/index.py "<image1_path>" "<image2_path>"

Example:

python {baseDir}/scripts/index.py "/path/to/face1.jpg" "/path/to/face2.jpg"

📋 Input Specification

Image Requirements

Supported formats: JPG, PNG, BMP
File size: < 4MB recommended
Image should contain clear, frontal face
One face per image for best results

⚠ Constraints

Both image paths must be valid and accessible
Images must contain detectable faces
API credentials must be configured
Network connection required

🔧 Environment Setup

Required:

Python available in PATH
Environment variables configured:

export XF_FACE_APP_ID=your_app_id
export XF_FACE_API_KEY=your_api_key
export XF_FACE_API_SECRET=your_api_secret

Or configure it in ~/.openclaw/openclaw.json:

{
	"env": {
		"XF_FACE_APP_ID": "your_app_id",
		"XF_FACE_API_KEY": "your_api_key",
		"XF_FACE_API_SECRET": "your_api_secret"
	}
}

📦 Output

Returns JSON response with:

Similarity score (0-100)
Comparison result (same person or not)
Confidence level
Face detection status

🎯 Target Use Cases

Identity verification
Access control systems
Duplicate account detection
Photo matching services
Security authentication
Attendance systems

🛠 Extensibility

Future enhancements may include:

Batch face comparison
Face quality assessment
Multiple face detection
Liveness de...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/dzy-1026/xfyun-face-compare
Version: —
Commit: f9005ad622f76ccc668110e1daec8abc3bb7bc6d
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 👤 Face Compare

Compare two face images and calculate their similarity score using iFlytek's advanced face recognition technology.

Designed for identity verification, face matching, and security authentication scenarios.

---

## ✨ Features

- High-accuracy face comparison
- Base64 image encoding support
- Multiple image format support (jpg, png, bmp)
- Detailed similarity scoring
- One-command execution

---

## 🚀 Usage

```bash
python {baseDir}/scripts/index.py "<image1_path>" "<image2_path>"
```

Example:

```
python {baseDir}/scripts/index.py "/path/to/face1.jpg" "/path/to/face2.jpg"
```

## 📋 Input Specification

### Image Requirements

- Supported formats: JPG, PNG, BMP
- File size: < 4MB recommended
- Image should contain clear, frontal face
- One face per image for best results

---

## ⚠ Constraints

- Both image paths must be valid and accessible
- Images must contain detectable faces
- API credentials must be configured
- Network connection required

---

## 🔧 Environment Setup

Required:

- Python available in PATH
- Environment variables configured:

```bash
export XF_FACE_APP_ID=your_app_id
export XF_FACE_API_KEY=your_api_key
export XF_FACE_API_SECRET=your_api_secret
```

Or configure it in `~/.openclaw/openclaw.json`:

```json
{
	"env": {
		"XF_FACE_APP_ID": "your_app_id",
		"XF_FACE_API_KEY": "your_api_key",
		"XF_FACE_API_SECRET": "your_api_secret"
	}
}
```

---

## 📦 Output

Returns JSON response with:
- Similarity score (0-100)
- Comparison result (same person or not)
- Confidence level
- Face detection status

---

## 🎯 Target Use Cases

- Identity verification
- Access control systems
- Duplicate account detection
- Photo matching services
- Security authentication
- Attendance systems

---

## 🛠 Extensibility

Future enhancements may include:

- Batch face comparison
- Face quality assessment
- Multiple face detection
- Liveness de...

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