# MCFastVision

**Repository Path**: elfbobo_admin_admin/MCFastVision

## Basic Information

- **Project Name**: MCFastVision
- **Description**: 一个基于 iOS Vision 框架的通用视觉识别工具库，封装了文字识别（OCR）、条形码/二维码识别、人脸检测、人脸关键点检测、矩形检测等能力，并提供统一的配置入口与识别结果绘制能力，支持快速集成到业务项目中，用于扫描、识别、检测与可视化标注等场景。
- **Primary Language**: Swift
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2026-02-11
- **Last Updated**: 2026-02-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MCFastVision

<a name="top"></a>

[![CocoaPods](https://img.shields.io/cocoapods/v/MCFastVision.svg)](https://cocoapods.org/pods/MCFastVision)
![Swift 5](https://img.shields.io/badge/Swift-5.0-orange.svg)
[![License](https://img.shields.io/badge/license-MIT-brightgreen.svg)](https://github.com/Json031/MCFastVision/blob/main/LICENSE)

---

## 🌍 Language / 语言选择
<!-- 语言切换（点击会滚动到对应语言区） -->
[中文](#中文) | [English](#english)

# 中文

MCFastVision 是一个基于 iOS Vision 框架的轻量级通用视觉识别工具库，封装了文字识别（OCR）、条形码/二维码识别、人脸检测、人脸关键点检测、矩形检测、动物识别（猫与狗）等能力，并提供统一的配置入口与识别结果绘制能力，支持快速集成到业务项目中，用于扫描、识别、检测与可视化标注等场景。

## 项目Example示例
### 人脸及关键点识别
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/03a06605-5da4-4d10-8156-283110a4f821" style="border: 2px solid blue;" />

### 动物检测
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/f1035020-62d6-43d4-b209-c417c9a0b00d" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/8628bf59-cd4d-4961-aa0c-a7c3b6dec8ea" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/2844abae-3bce-49bc-83b8-28ecd0bd6a8a" style="border: 2px solid blue;" />

### 二维码识别 / 条形码识别
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/3ccf13ba-e638-4cd2-93a8-556472c58eba" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/765722f4-9624-46a9-a593-404b01bf3e95" style="border: 2px solid blue;" />

### 矩形检测
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/47d850fe-8260-4ca6-8f30-719d29356351" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/bb11264c-7179-4360-9d3b-10a12e5f4249" style="border: 2px solid blue;" />

### 文本识别
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/58fa173e-dd94-4db1-a41e-4daefa61a61a" style="border: 2px solid blue;" />

### 人脸框快速检测
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/81579d8f-d6c9-4696-9628-2a1dc9fc8202" style="border: 2px solid blue;" />

## 安装（CocoaPods）

通过 CocoaPods 安装该库：

```ruby
# 在 Podfile 中添加
pod 'MCFastVision'
```

然后在项目目录运行：

```bash
pod install
```


---

# English

MCFastVision is a lightweight, general-purpose visual recognition toolkit based on Apple's iOS Vision framework. It encapsulates capabilities such as text recognition (OCR), barcode/QR code scanning, face detection, face landmark detection, rectangle detection, and animal recognition (cats and dogs). The library provides a unified configuration entry point and built-in drawing support for recognition results, enabling rapid integration into business projects for scenarios like scanning, identification, detection, and visual annotation.

## Project Example
### Face landmarks recognition
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/03a06605-5da4-4d10-8156-283110a4f821" style="border: 2px solid blue;" />

### Animal recognition
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/f1035020-62d6-43d4-b209-c417c9a0b00d" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/8628bf59-cd4d-4961-aa0c-a7c3b6dec8ea" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/2844abae-3bce-49bc-83b8-28ecd0bd6a8a" style="border: 2px solid blue;" />

### QR code recognition / Barcode recognition
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/3ccf13ba-e638-4cd2-93a8-556472c58eba" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/765722f4-9624-46a9-a593-404b01bf3e95" style="border: 2px solid blue;" />

### Rectangle detection
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/47d850fe-8260-4ca6-8f30-719d29356351" style="border: 2px solid blue;" />
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/bb11264c-7179-4360-9d3b-10a12e5f4249" style="border: 2px solid blue;" />

### Text recognition
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/58fa173e-dd94-4db1-a41e-4daefa61a61a" style="border: 2px solid blue;" />

### Fast detection of face rectangles
<img width="220" height="440" alt="screenshot-1" src="https://github.com/user-attachments/assets/81579d8f-d6c9-4696-9628-2a1dc9fc8202" style="border: 2px solid blue;" />

### Installation (CocoaPods)

Add to your `Podfile`:

```ruby
pod 'MCFastVision'
```

Then run:

```bash
pod install
```

---

### 许可证

本项目基于 [MIT License](https://github.com/Json031/MCFastVision/blob/main/LICENSE) 开源协议。

---

**[⬆ Back to Top / 返回顶部](#top)**