MindVision Core

Core components of the TrackPlay computer vision system for augmented reality applications.

Features

• ArUco marker detection and tracking
• Real-time video processing
• Perspective transformations
• Image overlays with alpha channel support
• Color object detection
• Box drawing with blur effects
• Metal rendering framework integration

Components

OpenCV Integration

The core of the project is the CVDetection class that provides:

• Marker detection with processAruco family of methods
• Frame overlapping with Overlap_Frames and Overlap_Frames_With_Alpha
• Color detection with detectColorObjects
• Utility functions for drawing, transformation and image manipulation

Swift UI Interface

The application uses SwiftUI for the user interface, providing:

• Camera integration
• Live image processing display
• Controls for adjusting parameters
• Visual tools for working with augmented reality content

Requirements

• Xcode 13.0+
• iOS 15.0+ / macOS 12.0+
• Swift 5.5+
• OpenCV 4.x (not included in this repository due to size constraints)
• Metal-compatible device

Setting Up

1. Clone this repository
2. You'll need to add the OpenCV framework (opencv2.framework) to the project
3. Configure the project to use the framework
4. Build and run the application

Note

This repository does not include the OpenCV framework binary files due to GitHub file size limits. You'll need to download OpenCV separately and add it to your project.

License

Copyright © 2021-2024 Nelson Suarez Arteaga