Arkit & Ai Crash Course: Build Ios 18 Apps With Swiftui
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.41 GB | Duration: 3h 6m
Build immersive AR applications with SwiftUI and AI-driven image generation techniques for iOS 18
What you'll learn
Fundamentals of Augmented Reality: Understand the principles of augmented reality and how ARKit integrates with iOS to create immersive experiences.
Introduction to ARKit and SwiftUI: Gain proficiency in using ARKit 6 alongside SwiftUI to build modern, interactive AR applications.
3D Object Manipulation: Learn how to create, display, and manipulate 3D models in an AR environment, including techniques for rendering and animating objects.
Scene Understanding: Explore how to detect and interact with real-world surfaces, including horizontal and vertical planes, to place virtual objects accurately.
User Interaction: Implement user interactions in AR, such as tapping on virtual objects, dragging them, or responding to gestures.
Image Recognition and Tracking: Master the use of image tracking configurations to overlay virtual content on recognized images, enhancing user engagement.
Combining Technologies: Discover how to integrate Core ML with ARKit for advanced features like object recognition and machine learning capabilities.
Project Development: Complete hands-on projects that involve building functional AR applications from scratch, applying learned concepts in practical scenarios.
Requirements
Familiarity with iOS development
Description
Unlock the potential of augmented reality and artificial intelligence with our ARKit & AI Crash Course! This comprehensive course guides you through the development of two innovative applications using the latest technologies in iOS 18 and SwiftUI.Course OverviewHand Gesture Detector App: Dive into the world of ARKit and Vision as you create a hand gesture detector that seamlessly integrates virtual objects into the augmented reality space. Learn how to utilize gesture recognition to enhance user interaction, making your AR experiences more intuitive and engaging.ARChitect App: Explore the cutting-edge capabilities of AI in architecture with the ARChitect app. This project allows users to input text prompts, which are then processed by Stable Diffusion to generate stunning images. With a touch of prompt engineering, you'll transform these images into 3D models using advanced techniques from Stability AI, bringing your creative visions to life.What You Will LearnARKit Fundamentals: Understand the core components of ARKit and how to implement them in your projects.Vision Framework: Leverage Apple's Vision framework for effective hand gesture detection.Stable Diffusion: Discover how to use Stable Diffusion for image generation based on user input, enhancing your app's functionality.3D Model Generation: Learn the process of converting generated images into 3D models through prompt engineering and AI tools.Who This Course Is ForThis course is ideal for developers looking to expand their skill set in augmented reality and artificial intelligence. Whether you're a beginner or have some experience with SwiftUI and ARKit, this course will equip you with the knowledge and tools needed to create innovative applications that blend the physical and digital worlds.Join us on this exciting journey to master ARKit and AI technologies, and take your app development skills to new heights!
Overview
Section 1: Introduction & Setup
Lecture 1 Welcome to the Course
Lecture 2 Accessing Projects
Section 2: Hand Gesture Detector
Lecture 3 Starting the Project
Lecture 4 Further configuration
Lecture 5 Create ARViewContainer
Lecture 6 Create SessionHandler
Lecture 7 SessionHandler continuation
Lecture 8 Vision Framework
Lecture 9 Adding mesh instance
Lecture 10 Final project 1
Section 3: ARChitect
Lecture 11 Obtaining API key for HuggingFace
Lecture 12 Obtaining API key for Stability.AI
Lecture 13 Starting the Project
Lecture 14 Start writing views and logic
Lecture 15 Introduce InputView
Lecture 16 Introduce EntityService
Lecture 17 Display sample glb file
Lecture 18 Introduce FileService
Lecture 19 Introduce URLSessionHandler
Lecture 20 Introduce MeshRepository
Lecture 21 Fine tuning
Basic Programming Knowledge: Students should have a foundational understanding of programming concepts, particularly in Swift, as the course will involve coding in this language.,Familiarity with iOS Development: A basic understanding of iOS app development and familiarity with Xcode is recommended. This includes knowledge of how to create and run simple iOS applications.,Understanding of SwiftUI: Familiarity with SwiftUI is beneficial, as the course will leverage this framework for building user interfaces.,Device Requirements: Students will need a compatible iOS device (iPhone or iPad) that supports ARKit, preferably running iOS 18 or later, to test and run their augmented reality applications.
Code:
https://fikper.com/90cScCC1Z2/ARKit.AI.Crash.Course.Build.iOS.18.Apps.with.SwiftUI.rar.html
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https://fileaxa.com/ardpa9sgyngm/ARKit.AI.Crash.Course.Build.iOS.18.Apps.with.SwiftUI.rar
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https://rapidgator.net/file/225e055a26ca6de0f7a7001459f52c59/ARKit.AI.Crash.Course.Build.iOS.18.Apps.with.SwiftUI.rar
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https://turbobit.net/d765p22d9geb/ARKit.AI.Crash.Course.Build.iOS.18.Apps.with.SwiftUI.rar.html